EHR Integration Emerges as a Top Priority for Healthcare Professionals: What Care Teams Are Saying

Posted on by Tim Boltz

As Healthcare organizations continue to shift to digital documentation, care teams are managing an influx of unorganized and complex sets of patient data, forcing them to reevaluate how effectively their current systems meet evolving digital demands.

Electronic Health Records (EHRs) have been transformative for the Healthcare industry, allowing organizations to shift from paper-based documentation to centralized digital systems that support more consistent workflows, reduce documentation errors and provide timely access to critical patient information.

As Healthcare organizations and patients transition to electronic systems, the integration of modern EHR technology has become essential to sustaining clinical and administrative workflows.

To assess how technology is shaping Healthcare operations, CHIME and Carahsoft Technology Corp., The Trusted IT Solutions Provider for the Healthcare Industry™, surveyed EHR system users across various care environments, finding that nearly every Healthcare organization in the U.S. uses an EHR system and that many are prioritizing optimizing their EHR investments by integrating modern technologies that strengthen system performance and overall workflows.

Understanding the EHR Landscape Through Survey

In 2009, the U.S. Department of Health and Human Services passed the Health Information Technology for Economic and Clinical Health (HITECH) Act, which encouraged the meaningful adoption of Healthcare technology. The law supported nationwide EHR implementation to reduce documentation errors and streamline clinical and administrative processes. Since then, technology has significantly advanced, leaving many Healthcare organizations with legacy EHR systems.

Key Survey Findings

• 36 percent of respondents report satisfaction with their current systems
• 44 percent are actively exploring ways to optimize EHR performance
• 4 percent are in an active transition to a new system

The survey results indicate that most organizations prefer targeted enhancements rather than complete system replacements. This shift toward incremental improvement highlights a growing need for technologies that can extend the capabilities of existing EHR platforms. This creates a tremendous opportunity for industry partners and healthcare technology to make a real difference for care teams and patients nationwide.

What Healthcare Organizations Value Most

Healthcare organizations prioritize features that support daily operations and drive user adoption. Survey respondents ranked user experience and workflow productivity as their top considerations, emphasizing that even advanced systems cannot deliver value if clinicians and staff find them difficult to use.

Survey results showed that Healthcare professionals rank customizability (15.4 percent) and training support (15.2 percent) as their highest EHR priorities, followed by AI capabilities at 11.8 percent. Additional priorities included:

Customer-facing experience (12.0 percent)
Security (9.6 percent)
Cost efficiency (9.1 percent)
Interoperability (8.5 percent)
Easy integration (8.2 percent)
User experience (6.3 percent)
Workflow productivity (4.0 percent)

While cost and security remain essential requirements, they are no longer the primary factors influencing EHR decisions. Healthcare organizations expect this as standard and are placing greater emphasis on usability and adaptability

Unlocking Potential Through Interoperability

Interoperability emerged as a key priority in the survey, with healthcare organizations seeking ways to integrate new technologies into their existing EHR systems. The ability to share patient data across systems and care settings is essential for improving coordination and supporting timely clinical decisions.

Through Carahsoft’s Healthcare Technology portfolio, partners like Google Cloud, Databricks and Broadcom help organizations integrate modern technology solutions into their existing EHR systems. These solutions enable systems to communicate effectively, supporting secure data exchange, analytics and care coordination without requiring full EHR replacement.

How AI Fits into Today’s EHR Environments

· Nearly 80 percent of Healthcare organizations use AI in their EHR systems

· 38.3 percent use natural language processing and dictation tools to reduce documentation workload

· Robotic process automation and large language models each account for 19.1 percent of use

As Healthcare teams turn to AI to improve efficiency, many organizations are adopting tools that support faster and more accurate clinical documentation. Solutions available through Carahsoft’s AI and Healthcare portfolios help providers streamline note taking and reduce administrative workload. Partners such as Google Cloud and Bamboo Health use natural language processing to capture patient conversations and generate structured clinical notes, cutting documentation time and improving accuracy.

Customization For Administrative Excellence

Modern Healthcare organizations are rejecting one-size-fits-all approaches and instead adopting technology that can be tailored to their specific workflows. The survey found that 30 percent of respondents ranked customizability and training support as top priorities, indicating that successful technology adoption depends on tools that can adjust to each organization’s operational needs.

Solutions available through partners like VisualVault and Salesforce support administrative efficiency through automation, intuitive interfaces and seamless integrations. These capabilities help reduce manual workloads and allow Healthcare teams to focus more time on patient care.

Security: A Multi-Layered Imperative

Survey results show that 82 percent of Healthcare organizations use third-party cybersecurity or backup solutions in addition to their EHR’s native protections. This reflects the need for layered security approaches that address a range of threats and operational risks. Organizations can meet these needs through solutions available in Carahsoft’s cybersecurity and Healthcare portfolios.

Industry leading partners like Cohesity, Broadcom and Datadog support Zero Trust architecture and NIST-aligned frameworks that strengthen data protection and recovery capabilities. These solutions integrate with existing EHR environments to provide immutable backups, disaster recovery, continuous monitoring and threat detection.

Additionally, SmartCare^TM, Streamline Healthcare’s platform, also supports security needs through its cloud-based and Software as a Service deployment options, offering a single, web-based system that maintains current security standards and certifications.

Featured Solutions: Innovation in Action

As The Trusted IT Solutions Provider for the Healthcare Industry™, Carahsoft offers a robust portfolio of healthcare technology solutions that make positive changes in the quality, safety and effectiveness of healthcare delivery systems. Carahsoft works with a range of Healthcare technology partners that support EHR optimization across clinical and administrative environments.

FusionEHR: Integrated Care Across Specialties

Fusion Health’s premier EHR, FusionEHR, delivers integrated features ideal for medical, behavioral health, dental and optometry services, while adhering to industry requirements from NCCHC, ACA and PBNDS. The platform offers integrated user experience for customers, supporting configurable workflows and specialty applications that help organizations tailor documentation and clinical processes to their needs.

TechCare GO: Specialized Correctional Healthcare

Naphcare’s TechCare GO extends the TechCare EHR platform into a browser-based tool designed for correctional Healthcare. It supports medication administration and clinical documentation in both connected and offline environments, enabling consistent care in various settings.

Carahsoft at Upcoming Healthcare Events

Explore the latest in healthcare cybersecurity at HIMSS26 to better understand how organizations are protecting electronic health information across modern EHR environments.

Join industry leaders at ViVE 2026 to dive into the AI and cybersecurity innovations shaping next-generation EHR optimization and digital health transformation.

Ready To Optimize Your EHR System?

As EHR systems evolve from documentation tools to comprehensive care enablement platforms, organizations that strategically leverage partnerships and integrations will unlock their systems’ full potential, delivering exception, patient coordinated care.

Visit Carahsoft’s Healthcare Technology portfolio to explore EHR solutions and enhancement technologies.

Get in touch with the Healthcare team at Carahsoft to discuss which EHR solution is best for you; or download Carahsoft’s Healthcare Buyer’s Guide to explore solutions that may align with your operational and clinical needs.

From Pilot to Production: Operationalizing Healthcare GenAI in Secure Multicloud Environments

Posted on by Geoffrey Glaser

Healthcare organizations are under immense pressure to shrink margins, tighten regulations, improve patient expectations and utilize increasingly complex data environments. While generative artificial intelligence (GenAI) has emerged as a powerful tool, most healthcare systems still struggle to move from experimentation to measurable outcomes. Leaders are asking the same questions: Where do we start? How do we ensure security and compliance? How fast should the Return on Investment (ROI) appear?

The answer is not simply selecting a model, it is building a strategy and infrastructure that transforms AI from a promising pilot into an enterprise engine for clinical, operational and financial improvement.

Start With High-Impact Use Cases that Deliver Early ROI

The path to operationalizing GenAI begins with use cases that are narrow enough to implement quickly, but meaningful enough to prove value. Start where measurable gains are most attainable, such as document processing, contract review, claims analysis, compliance workflows and call center optimization.

One of the strongest early candidates is Protected Health Information (PHI) de-identification, where AI can accelerate research access while protecting privacy. Many organizations are also applying GenAI to claims review, using models to flag missing attachments, coding inconsistencies or errors that commonly drive costly denials. With first-pass denial rates hovering in the 17–25% range industry-wide, automating this analysis can generate immediate financial return.

These targeted wins build executive confidence, secure budget and create organizational momentum, which is critical before expanding to more complex clinical or patient-facing scenarios.

Build Trust by Grounding the Model in Your Own Data

Accuracy and trust determine whether healthcare AI is adopted or ignored. General-purpose models are not sufficient for healthcare, where language is deeply nuanced and context dependent. Instead, organizations should ground GenAI in their own governed data sources, such as Electronic Health Records (EHRs), Customer Relationship Management (CRM) platforms, care summaries, research documents or internal policies.

To achieve this, many leaders are adopting Retrieval-Augmented Generation (RAG) with vector databases, which allows models to pull precise information from internal systems in real time. Vector databases are a foundational accelerator, enabling faster, more accurate retrieval across structured and unstructured data. This approach delivers three business advantages:

Higher accuracy and confidence in model responses
Stronger control of PHI and sensitive data
Traceability, which is essential for audits, appeals and clinical validation

Grounding the model in an organization’s own data turns GenAI from a creative tool into a trusted operational system.

Use a Secure Multicloud Strategy to Reduce Risk and Increase Agility

John Snow Labs, Operationalizing Healthcare GenAI blog, embedded image, 2025

To operationalize GenAI responsibly, healthcare organizations should design for security,compliance and flexibility from day one. When separating PHI and non-PHI workloads, a multicloud strategy helps healthcare organizations:

Isolate sensitive data to minimize breach impact and simplify governance
Reduce lock-in risk and leverage the strengths of different cloud platforms
Tap into more innovative options, since each cloud offers unique AI tooling
Optimize cost and performance by matching workloads to the right environment

Multicloud design also supports stronger compliance postures by enabling auditability, identity controls, monitoring and bias/hallucination safeguards, all of which must be proven to regulators and accrediting bodies.

Avoid “Pilot Purgatory” and Build a Path to Production

Many healthcare AI programs fail not because the technology underperforms, but because the organization never assigns ownership or a path to scale. To prevent “pilot purgatory,” short-term projects that drag on without measurable outcomes, organizations should:

Create a defined production roadmap before the pilot begins
Empower a cross-functional AI Center of Excellence (COE) to own outcomes
Secure both clinical and administrative stakeholders
Treat GenAI as an enterprise capability, not a one-off project

This shift enables the same investment to support multiple use cases, expanding impact while lowering cost per interaction over time.

Continuously Measure, Optimize and Expand

An operational GenAI program is never “set it and forget it.” It is important to continuously track Key Performance Indicators (KPIs) to guide optimization and justify expansion. Recommended KPIs include:

Cost per interaction
Accuracy and confidence
Time saved per task or workflow
Time to response (latency and model speed)
User satisfaction (providers, staff and patients)

By evaluating these metrics regularly, healthcare organizations can expand from early wins to enterprise scale, from research and development to patient support, revenue cycle, compliance and beyond.

Align People, Data and Infrastructure For AI Success

Technology alone is not the determining factor of AI success in the healthcare space, alignment is. Success requires a shared vision from leadership, responsible data groundwork, a secure multicloud foundation and continuous measurement to maintain trust and value. With the right approach, GenAI can improve patient satisfaction, strengthen trust, accelerate research and innovation, reduce administrative burden and deliver measurable ROI in weeks over years.

Carahsoft and John Snow Labs help healthcare leaders accelerate this journey, combining secure infrastructure, domain-specific healthcare AI and proven deployment models. To explore how your organization can operationalize GenAI safely and effectively, watch the full webinar, “Lessons Learned from Harnessing Healthcare Generative AI in a Hybrid Multi-Cloud Environment.”

Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, including John Snow Labs, we deliver solutions for Geospatial, Cybersecurity, MultiCloud, DevSecOps, Artificial Intelligence, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Explore the Carahsoft Blog to learn more about the latest trends in Government technology markets and solutions, as well as Carahsoft’s ecosystem of partner thought-leaders.

From Data Silos to Life-Saving Decisions: How Technology is Transforming Healthcare Delivery

Posted on by Tim Boltz

Healthcare organizations continuously navigate complex challenges as patient demand grows. Imaging volumes are rising faster than radiology capacity can scale. Public health agencies manage vast amounts of data across disconnected systems. Administrative tasks consume time that healthcare staff would rather spend on patient care.

These operational realities create opportunities for technology to make a meaningful difference. Leading healthcare organizations are already transforming these challenges into improved outcomes through strategic technology deployments enabled by streamlined procurement.

As The Trusted IT Solutions Provider for the Healthcare Industry™, Carahsoft offers a robust portfolio of healthcare technology solutions that make positive changes in the quality, safety and effectiveness of healthcare delivery systems. Streamlined procurement is available through Carahsoft’s reseller partners and numerous contract vehicles including GSA Schedule, NASPO ValuePoint, E&I Cooperative Services and The Quilt.

Key Takeaways:

AI diagnostics improve radiology efficiently by up to 40% addressing the looming shortage of 42,000 radiologists by 2033.
Unified data platforms enable more than 80% of emergency departments to share real-time data with the CDC.
Automated workflows cut processing times by 50%, freeing staff for patient care.
Zero Trust security protects patient data while enabling hybrid cloud operations.
Streamlined procurement accelerates deployment from months to weeks.

AI-Powered Diagnostics: Addressing the Radiology Crisis

By 2023 the U.S. faces a shortage of up to 42,000 radiologists as imaging volumes rise 5% annually while residency positions increase just 2%.

At Northwestern Medicine, Dr. Mozziyar Etemadi, Clinical Director of Advanced Technologies, deployed a generative AI solution with Dell Technologies and NVIDIA that analyzes chest X-rays and generates draft reports instantaneously. Results: radiology efficiency improved by up to 40% without compromising diagnostic accuracy. The system flagged unexpected pneumothorax cases with 72.7% sensitivity and 99.9% specificity – lifesaving in emergency settings.

The technology runs on Dell PowerEdge XE9680 servers with NVIDIA H100 GPUs, deployed on premises to maintain HIPAA compliance. Northwestern is now developing predictive models for entire electronic records.

Public Health Surveillance: Rapid Outbreak Response

The CDC faced a critical challenge: essential health data trapped in disconnected silos across thousands of facilities.

The CDC’s partnership with Cloudera created a unified platform consolidating data from hospitals, laboratories and wastewater testing sites. More than 80% of non-federal emergency departments now send data to CDC, enabling comprehensive threat monitoring. When measles spiked across 15 states in 2025, officials had integrated visualizations within days.

The CDC’s One CDC Data Platform (1CDP), established in 2024, provides state, tribal, local and territorial agencies with streamlined access to core datasets and analytics, enabling faster disease trend detection and proactive strategies.

Accelerating Cancer Research Collaboration

The National Cancer Institute partnered with Google Cloud and Barnacle AI to introduce NanCI – a platform leveraging AI-driven recommendations to connect researchers with collaboration opportunities, literature and events. The solution demonstrates how AI extends beyond clinical care to accelerate scientific discovery across Government, Education and Healthcare sectors.

Operational Excellence: Freeing Caregivers to Care

Workforce coordination: Healthcare organizations use BlackBerry AtHoc, available through Carahsoft’s reseller network and contract vehicles, to streamline staffing and scheduling processes. The event management platform helps ensure personnel are coordinated efficiently across departments which is essential for maintaining high standards of patient care.

Financial automation: Community Health Centers of Florida implemented Laserfiche’s enterprise content management system, cutting processing time by 50% and eliminating manual data entry. “I cannot fathom processing the current volume of invoices ‘the old way,’” said Dee Bradshaw, director of purchasing. “Laserfiche has cut our processing time in half.”

Every hour freed from administrative burdens is an hour caregivers get back to spend with their patients.

Modern, Secure Infrastructure

California Department of State Hospitals deployed Rubrik’s data management platform to integrate legacy systems with modern hybrid cloud environments. Rubrik’s Zero Trust Data Security framework minimized ransomware vulnerability while ensuring Federal compliance.

St. Luke’s University Healthcare Network used Rubrik for faster backups, near-instant recovery and seamless hybrid IT integration, strengthening cyber defenses while freeing IT staff to support clinical teams.

Federal agencies, State and Local Governments and Education institutions face similar Zero Trust security and hybrid cloud integration requirements.

Explore Carahsoft’s cybersecurity solutions at www.carahsoft.com/solve/cybersecurity.

Meeting Demand at Scale

NYC Health + Hospitals deployed Snowflake’s Data Cloud which consolidated separate data sources into a unified platform. This integration eradicated silos, provided real-time visibility and enabled data-driven decisions at the point of care for vulnerable populations.

The Carahsoft Advantage

For Healthcare Organizations: Faster access to solutions, simplified procurement through pre-negotiated contracts, integrated solutions across technology verticals, dedicated healthcare technology expertise. Simplify your organization’s procurement journey with Carahsoft.

For Reseller Partners: Opportunities to deliver comprehensive solutions, access to leading vendors through established contract vehicles, sales enablement and marketing support. Become a Carahsoft reseller partner.

For Technology Vendors: Expanded reach across Federal, State and Local Government, Education and Healthcare markets, simplified Healthcare sales through hundreds of contract vehicles. Join our partner ecosystem.

Ready to explore healthcare technology solutions?

Download Carahsoft’s Buyer’s Guide for Healthcare
Contact the Healthcare Technology Team at (571) 591-6080 or Healthcare@carahsoft.com
Explore Carahsoft’sHealthcare Technology solutions at www.carahsoft.com/solve/healthcare-technology

Insights from MESC: Modernization, AI and the Cloud

Posted on by Tim Boltz

At this year’s Medicaid Enterprise Systems Conference (MESC), held August 11-14 in Milwaukee, Wisconsin, Federal officials, technology partners and thought leaders joined to share insights on modernization, artificial intelligence (AI), fraud prevention and cloud adoption.

Carahsoft attended MESC alongside its partners to facilitate connections between healthcare systems and technology vendors.

Here are the top five insights from MESC.

1. Unified Observability Enables Modernization

As agencies modernize, observability is becoming critical to success. In the session “You Can’t Modernize What You Can’t See: Observability for Medicaid Cloud Future,” Datadog speakers Greg Reeder, the Senior Director of the Public Sector Marketing, Ryan Gault, the Regional Sales Director for SLED East, and Abe Rosloff, the Enterprise Solution Engineer for SLED, discussed best practices for the cloud. Observability reduces the time it takes teams to find system bottlenecks. With Datadog’s unified observability SaaS platform, agencies can utilize real-time monitoring to oversee critical systems. The Centers for Medicare & Medicaid Services (CMS) has released new modules that run alongside 30 year old modular systems. Onboarding the cloud to legacy systems can be tricky, so Datadog’s unified platform provides a layer of visibility that empowers users with insight in the form of an easy-to-use dashboard. Working with a large Medicaid agency on both coasts under contracts with the National Association of State Procurement Officials (NASPO), the US General Services Administration (GSA) and OMNIA, Datadog helps pinpoint issues quickly through their SaaS platform.

With Datadog’s unified monitoring, agencies gain real-time visibility into user interactions to proactively identify and address breaches before they arise.

2. AI Use Cases for Medicaid

In the session “Avoiding AI Landmines in Medicaid: What Worked, What Didn’t and What We’ve Learned,” speakers Eng Tan and Cynthia Afkhami from Automated Health Systems (AHS) discussed the pros and cons of various AI usages. AHS discussed its digital journey in AI adoption; it took three months for users to learn terminology, three months to build the model and six to nine months to test it. While building the AI was easy, the production stage was more challenging. Instead of traditional IT testing, AI requires strategic, human-centered testing. In one case study, AHS designed Infobot, a “digital butler” for customer support representatives that helped translate notes between Spanish and English. This resulted in reduced wait times, a 3% increase in scores and reduced attrition. AHS attributes this success to relevant management buy-ins, IT management support, staff participation, senior management support and focused training. Ultimately, AHS recommends having a solid foundation of data management, governance frameworks and team training before implementing AI.

Learn how AI can help streamline processes to build stronger, more resilient healthcare systems with Carahsoft’s AI solutions.

3. How GenAI Can Embolden Healthcare

In the session “Unleashing the Power of Generative AI on Care Planning in Healthcare,” speakers Mason Tanaka, the Deputy Commissioner and CIO from Alabama Medicaid Agency, and Andy Pitman, the State and Local Government Health and Human Services (HHS) Strategy Director for Microsoft, showcased Alabama Medicaid’s goals and guiding principles behind its new generative AI (genAI) platform, AI Continuum. In collaboration with Microsoft, Alabama Medicaid aims to bring genAI into healthcare planning by operationalizing various tools in testing and production to help teams reclaim ownership of the planning and design process. Through AI Continuum, nurses and social workers were able to support clinical decisions and use risk stratification predictive analytics to secure better patient outcomes.

Leverage genAI insights and maximize your data’s potential through Databricks’s optimized data infrastructure and scalable, predictive machine learning models.

4. Modernization, the Cloud and AI

In the session “CMS-5: MES State of States,” speakers from CMS Ed Dolly, the Deputy Director for Data Systems Group, and Eugene Gabriyelov, the Director Division of State Systems, reviewed the progress made in Medicaid Enterprise Systems (MES) and future goals.

The top takeaways include:

The time spent creating modular certifications has been reduced from two years to fourteen months

With over 1,300 MES submissions received annually, timely operational reporting has become more significant

Metric reporting is essential for continued funding

Looking ahead to the upcoming fiscal year, goals include receiving operational metric reports from each state, standardizing interfaces, expanding AI usage and increasing collaboration across the nation.

Modernize with confidence to improve efficiency, transparency and accountability. Visit Broadcom’s page to learn how their solutions support interoperability.

5. Fighting Fraud with DNA Prevention

In the session “Fighting fraud: Insights from Illinois Health and Family Services (HFS) Office of Inspector General (OIG)’s internally developed Fraud, Waste and Misuse (FWM) early warning system,” speakers Wei-Shin Wang, the Bureau Chief at the Bureau of Fraud Science and Technology, Douglas Steinley, data analytics consultant at the University of Missouri, Ben Xu, the Sr. Developer at the Bureau of Fraud Science and Technology, and Jon DeShazo, the Senior Lead Consultant at Leads, discussed Dynamic Network Analysis (DNA)-powered fraud prevention. The FWM early warning system, which was built with NTT DATA and powered by DNA, saw successes in uncovering fraud patterns early on. Within the system, there are modules for profiles, reports and inquiries, advanced surveillance and risk detection, audit support and system usability. Early results from this training illustrate that automation and analytics can strengthen program integrity while reducing manual oversight.

Leverage trusted data analytics and streamlined operations with Equifax’s trusted solutions in data analytics and fraud-resilient technology.

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As medical systems evolve, the common theme is clear: innovation must balance modernization with accountability, human-centered design and measurable outcomes.

Carahsoft’s healthcare portfolio equips agencies with cloud, genAI and analytics solutions that streamline operations and strengthen program integrity. By improving efficiency, reducing fraud and eradicating unnecessary costs, agencies can reinvest in sustainable healthcare that prioritizes improving patient outcomes.

Looking to modernize with the latest in healthcare technology? Visit Carahsoft’s broad range of contract vehicles to access Government healthcare solutions quickly and confidently.

Becker’s Healthcare Online 2025: Top 5 Insights on Sustainability, Efficiency and Security in Patient Care

Posted on by Tim Boltz

At the 15^th annual meeting of Becker’s Healthcare, providers and industry leaders gathered to discuss the latest in Health IT. Sessions explored intellectual capital, cybersecurity, logistics and technology, such as artificial intelligence (AI).

Carahsoft and its partners, such as Oracle, Bamboo Health, Innovaccer, Laserfiche, Smart Communications, Wolters Kluwer and more, attended Becker’s to connect healthcare systems with the latest technology.

Becker’s Healthcare conference featured five key themes for attendees to learn about.

Expanding Patient Care Through Automation

Speakers from Baptist Health discussed patient care amidst high demand in the session “Empowering Healthcare Teams: Baptist Health’s Journey to Efficiency.” As the Baptist Health Healthsystem began examining inpatient flows, they tracked all components of the patient’s experience. The influx of patients exposed existing weaknesses, such as fragmented operations, low visibility and discharging delays, resulting in lost revenue and overall inability to meet patient demand. In response, Baptist Health opened a command center to centralize its logistics, proactively taking steps to increase reliability and predictability. Viewing all components of a patient’s stay, from the moment patients entered to being fully discharged, as well as the time spent cleaning the room, enabled them to find and remove bottlenecks that prevented the efficient transfer of patients. Baptist Health also began automating workflows to expedite processes. Automated texts would be pushed to providers when patients were not moved, allowing providers to know where they were needed. These changes resulted in a 6% increase in overall admissions and a 50% increase in on time or early discharges by 11am, which helped free up beds, increasing overall capacity and revenue.

Patient-Centered Sustainability

In the session “The Future of Patient-Centered Care: Strategies for Sustainable Healthcare,” Fariha Siddiquie, the Director of Healthcare Services at The Kaleidoscope Group, emphasized that patients are the center of healthcare. When crafting a positive customer experience, healthcare systems should take a holistic approach to the patient’s journey.

Healthcare systems can foster a positive experience by:

Utilizing front desk staff to create positive experiences as soon as patients enter the facility

Providing a comfortable experience in the waiting room

Removing technical jargon to help patients and their support system understand billing, procedures and treatments

Preventing and slowing the spread of diseases through community outreach

Meeting patients and their support systems at their level contributes to patients feeling safe and welcome. While providers are not fully responsible for the experience a patient has at a healthcare center, they shoulder the most responsibility. Healthcare systems can help alleviate this responsibility by fostering a culture of empathy between employer and provider, which will ultimately extend to provider and patient. Focusing on the patient’s experience will ensure satisfaction in all aspects of patient care.

To meet all of a patients’ needs, providers should consider how different backgrounds, such as geographical location and age, factor into care needs. With technology, certain features, such as specific fonts or options to connect to a help desk, boost accessibility. When these features are not included, the technology that already has been invested in will be ineffective. By committing to a strategic plan that impacts day-to-day workflow, healthcare systems can ensure a more welcoming, fostering environment for patients.

Choosing the Right Technology for Your Healthcare Systems 

As IT expenses continuously grow, healthcare systems must consider which technology to prioritize. In the session “From Friction to Flow: Advocating for Smarter, Safer Healthcare Systems,” panelists discussed how healthcare systems must consider whether replacing existing technology with new ones is cost effective. Before purchasing, healthcare systems should consider how the technology will be incorporated into the workplace, and whether staff will need to be trained to use the new technology. Talking to front line caregivers and other staff can illuminate what solutions and tools are needed for daily operations. The technology with the best return on investment is that which alleviates monotonous administrative tasks and uplifts providers, who face potential burnout from the administrative tasks placed on top of their job. Once the technology is in place, healthcare systems should measure the outcomes of technology and gather and listen to feedback from end users. While technology helps processes, it cannot automatically solve problems. Rather, technology is best utilized when aiding providers and expediting work processes, allowing clinicians to focus on patient care.

Preventing Data Breaches in Healthcare 

In the session “Doing the Inevitable: How Health Systems Are Stopping Data Breaches,” speakers from various institutions discussed the daily phishing breach attempts that healthcare systems face. Phishing attacks are insidious as they are impossible to fully prevent. Threat actors are getting more sophisticated with social engineering, using AI to impersonate leadership over the phone, or even on video calls. While security solutions, such as multi-factor authentication, are important to preventing breaches, there are use cases where they are not applicable- such as emergency situations in the operation room.

Phishing breaches should be treated as a “when,” not an “if;” systems must proactively prepare for data breaches. Attacks can force an area or unit to go offline, so a response strategy can help operations continue smoothly. Trainings that simulate breaches can demonstrate to leaders the full complexity of these attacks and what is at risk. Even breaches for agencies that are indirectly exposed to your network can be a hazard. To prevent phishing breaches, everyone from providers to clinical leadership must be knowledgeable about mitigating attacks.

Optimize Daily Operations with Artificial Intelligence 

In the session “AI in Healthcare: Big Ideas and Risks for the Next 5 Years,” speakers Dr. Chris Longhurst from UC San Diego Health, Dr. Mike Phepher from Stanford, the Chief Data Officer from CommonSpirit Health and Mohan, the Founder and CEO of LeanTaaS, discussed the variety of AI projects have been tested in healthcare systems to aid with operational processes. With the onboarding of secure AI portals, healthcare systems enable staff to experiment and learn how to use the new technology.

They have found that AI can aid daily procedures in numerous areas, such as:

Operational Tasks

AI can help eliminate monotonous tasks that are not directly related to helping patients, such as with calls and removing duplicate insurance requests, empowering providers with more time with patients.

Safety

AI has helped predict which patients need palliation. This early identification has enabled symptom relief, disease prevention and reduced mortality rate. It has also democratized medical information, empowering patients and providers, as well as aided in eliminating misdiagnosis.

Patient Empowerment

AI has enabled patients to learn more about the care they receive. Tools such as language learning models (LLMs) have helped providers craft response letters to patients, and electronic health record (EHR) integration aids in provider-patient communication by making medical information more accessible to patients.

When choosing the right AI platform for a healthcare system, the speakers recommend onboarding an AI model that is secure and sufficient for necessary procedures. A platform approach can help avoid siloing. Technology experts, such as VMWare, are constantly working to be at the forefront of AI initiatives and enablement, and Salesforce offers a variety of AI tools. Overall, AI can be used in many scenarios. Between aiding call centers and predicting illnesses, AI increases efficiency, optimizes processes and decreases costs.

By maintaining security and investing in mission-supporting technologies, healthcare systems can support providers and offer the best care to patients.

To learn more about technologies featured at Becker’s Healthcare Online, visit Carahsoft’s healthcare technology portfolio.

Accelerating The Healthcare AI Revolution: Reasoning Models and Data

Posted on by Debojyoti (Debo) Dutta

The healthcare industry stands at the precipice of transformation. While artificial intelligence (AI) has been utilized in healthcare for decades, analyzing OMICS and supporting drug discovery, recent advancements in generative AI (GenAI) and reasoning models are redefining what’s possible, especially when connected to private data. This evolution represents not just incremental improvement but a fundamental shift in how technology can augment healthcare delivery.

The Accelerating Pace of AI Evolution

The GenAI movement that emerged around 2017 added a new dimension, enabling AI to create content. However, it was the 2022 release of ChatGPT that democratized access to these capabilities, creating a “Wright Brothers moment,” springboarding the industry of AI. Suddenly, everyone from children to healthcare professionals began experimenting with these systems, often finding productivity gains despite the limitations of early versions of the technology.

Just as organizations were adapting to this new reality, reasoning models emerged in late 2024. These systems do not simply generate content, but think through problems step by step, mirroring human cognitive processes. Within months, more efficient, open-source reasoning models followed, making this technology accessible even for regulated industries like healthcare (e.g. Med-R1 8B).

GenAI Reasoning Models in Healthcare

GenAI enables healthcare professionals to work more efficiently, freeing time to engage with patients. Unlike earlier models, recent GenAI reasoning models provide transparency into their decision-making process. These models can now power advanced AI agents using healthcare-specific models like Google AIM, Med-PaLM 2 or Med-R1. This auditability is crucial in healthcare, where understanding why a recommendation was made is often as important as the recommendation itself.

Before implementing AI agents and reasoning, agencies should define clear outcomes and goals. Here are several factors to consider when integrating GenAI into your agency:

Data Strategy: The effectiveness of AI models depends significantly on the quality and privacy of your data. Organizations need clear protocols for creating evaluation datasets and managing sensitive patient information that can be kept sovereign.
Infrastructure Decisions: Healthcare organizations must decide whether to deploy models in the cloud or on-premises, considering regulatory requirements and data sensitivity. A hybrid approach often provides the flexibility needed to address various use cases.
Model Selection: Open-source models now trail proprietary options by only about six months in capabilities while offering cost advantages and greater control. Many organizations are adopting hybrid strategies, using proprietary models for cutting-edge applications and open-source alternatives for routine tasks.
Scale Considerations: Small, specialized language models can be more efficient for specific healthcare tasks, while larger models may be necessary for complex reasoning about treatment options or research questions.

Agencies should prepare robust data governance frameworks and flexible infrastructure that spans cloud and on-premise environments to enable healthcare personnel to use GenAI effectively. Overall, GenAI enables healthcare professionals to work more efficiently, enabling them to connect more with patients.

Your Journey to an AI Future Starts Now

The future of healthcare will be augmented by reasoning models, making healthcare more affordable and accessible for all.

Some new, AI-driven areas to watch for include:

Data Interaction: LLMs will navigate complex healthcare data ecosystems, from electronic health records to genomic data, answering nuanced clinical questions without requiring complex programming.
Planning and Research: By functioning as collaborative partners in research, the models look to help design clinical trials, analyze research literature and develop treatment protocols.
Actionable Workflows: Reasoning models will help automate clinical and administrative processes while incorporating human feedback in a continuous improvement cycle.

AI agents will begin to help address the acute staffing shortages plaguing healthcare systems worldwide. These digital assistants can handle routine documentation, answer common patient questions, and provide decision support, allowing clinicians to focus on direct patient care. As AI systems become more affordable and consumption increases, we’re likely to see a revolution in healthcare accessibility, particularly for underserved populations, with AI agents augmenting healthcare workers’ efforts.

The journey toward AI-augmented healthcare is accelerating faster than most experts predicted. For healthcare leaders, the question is no longer whether to embrace these technologies, but how to implement them to improve care while maintaining the human connection that defines healthcare.

The content of this blog was pulled from the Healthcare Information and Management Systems Society (HIMSS) panel, “Accelerating Enterprise GenAI.” To learn more about Nutanix GenAI, visit Nutanix’s AI Solution page.

Digital Wallets: The Bridge Between Patient and Provider

Posted on by Christine Owen

Across the nation, healthcare services are indispensable in protecting people. As expectations grow and evolve, the healthcare industry must be ready to innovate to provide the best experience for patients and providers alike. Digital wallets with identity verification are a helpful tool which can establish trust, store data and enable patients to take control of their healthcare.

The Solution to a Divided System

Healthcare providers are spread across multiple companies, cities and states. The lack of a centralized database results in a fractured state of medical records. Patients often lose track of their medical history, and transferring data can be difficult in scenarios that happen across state lines—for example, if a patient needs emergency treatment in a state they do not reside in. Recent standards, such as the Trusted Exchange Framework Common Agreement (TEFCO), a legal consensus that enables network-to-network data sharing, promotes the idea of transferring data regardless of location. Digital wallets allow for a national, unified experience to review and obtain medical records, empowering patients and providers alike.

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Benefits of a Digital Wallet

Digital wallets with verifiable credentials embolden users with a quick, accessible way to deliver their framework across the healthcare sector.

There are numerous benefits to having a digital wallet. They provide:

Interoperability: Digital wallets are designed to work well with other systems, promoting a cohesive experience across different providers and geographical distances.
Enhanced Security: Patients can take control of their data and decide when it is shared.
Improved User Experience: By providing swift user verification without redundancy, users can enjoy a smooth and frictionless experience.
Unified Standards: The community driven nature ensures a consistent experience across all use cases.

Equipped with a digital identity, healthcare systems are enabled to provide and receive swift, efficient care.

Building A Unified Experience

The rise of verifiable digital credentials, such as multi-factor authentication (MFA), phishing resistant authenticators and strong identifiers like pass keys, enables end users to reliably tie themselves to a digital identity while protecting against fraud, waste and abuse. It is important to balance strong, accurate authenticators with an accessible end user experience. Patients value simplicity and accessibility, so structures that require numerous logins can be viewed as cumbersome.

Before deploying features of the digital wallet, all participants should agree on the framework for identity verification. Referring to the standards of the World Wide Web Consortium (W3C), TEFCO and 21^st Century Cures Act can help involved parties agree on a method of identity verification and credentials that satisfy safety, accessibility and interoperability all at once.

Functionally, digital wallets independently verify each user. First, the patient submits a digital representation of their identity, whether a passport, license or other form of identification. Next, a data broker verifies the information submitted for validation. This validation is secured and verified with cryptographic keys. Passkeys protect the digital wallet while simultaneously verifying that the party accessing it is correct.

With trust established, users can manage and own their healthcare data.

To learn more about integrating interoperability, security and a unified customer friendly experience through digital wallets, watch 1Kosmos’s webinar “Bridging Healthcare Sectors with Digital Wallets.”

Innovative Care for Shadow Warriors: How ORF is Providing Life-Changing Treatment

Posted on by Joe Tabatabaian

The Operator Relief Fund (ORF) is a nonprofit that supports shadow warriors—members and veterans of Special Operations Forces (SOF) and the Central Intelligence Agency (CIA) Special Mission Unit (SMU)—who struggle with the mental and physical challenges of Operator Syndrome (PTS) and other trauma-related conditions. These warriors face unique challenges due to the nature of their missions, and the physical and psychological scars of service extend beyond the battlefield, affecting not only their mind, body and spirit but also their families.

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How Carahsoft Supports ORF

Carahsoft is a proud, long-time supporter and strategic partner of ORF and its mission to provide life-changing care for the nation’s shadow warriors. As part of its ongoing commitment to the military community, Carahsoft partners with ORF to raise awareness, provide essential resources and offer critical behind-the-scenes support. This includes financial contributions, coordinating travel services for ORF beneficiaries and strengthening connections across the Intelligence Community and The United States Special Operations Command (SOCOM) to expand ORF’s reach. Through these efforts, Carahsoft remains dedicated to ensuring that operators and their families receive the highest quality of care.

Join Us in Supporting the ORF Golf Classic

In addition to continued support, Carahsoft is excited to be involved in the ORF Golf Classic. This event provides an opportunity for the community to come together and make a lasting impact. Participation, whether through registration or a donation, directly supports ORF’s mission to provide life-changing care to the nation’s heroes and helps ensure that those who have dedicated so much receive the support they need.

You can visit our website to learn more about ORF Golf Classic. For more specific questions, please reach out to jeff@operatorrelieffund.org with any questions.

Healthcare Program Executive: HIMSS 2025: Top 5 Insights

Posted on by Tim Boltz

At the Healthcare Information and Management Systems Society (HIMSS) Global Health Conference and Exhibition 2025, health IT professionals, healthcare personnel and Government leaders joined to connect on the latest trends in the healthcare industry. As a provider and distributor of health IT solutions, Carahsoft and its partners are equipped to communicate recent trends and connect care providers, agencies and companies with the technology they need to embrace the future of healthcare.

Here are the top 5 insights for the technology industry and Government from this year’s conference. 

1. Utilizing Artificial Intelligence in Healthcare

Healthcare must ensure all provided tools are safe, effective and ethical to ensure the best outcomes for patients. As the widespread adoption of artificial intelligence in the healthcare industry is relatively new, providers and public health officials should employ risk management practices, strong governance and transparency with their usage of the tool.

Providers should employ best practices for AI usage:

Understand AI’s risk profile

Ensure that data is representative of patients

Address potential biases

With continuous monitoring, providers can mitigate any potential model drifts and gain better oversight of the dynamic nature of AI systems. By highlighting the areas of risk, the healthcare system can make informed decisions on which tools, solutions and personnel to deploy to mitigate risk.

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There are many opportunities for AI in Healthcare. In the session “HL’s Ride on the AI Train,” the Chief Executive Officer of HL7 International, Charles Jaffe, discussed how AI can enable healthcare providers to promote interoperability. AI can also help providers address industry concerns, such as data provenance and data lineage. In the session “Shaping the Future of healthcare: A Collaborative Care Journey Where Technology and Humanity Coexist,” speakers Seung Woo Park and Meong Hi Son, respectively the President and Chief Medical Information Officer and Associate Professor at Samsung Medical Center (SMC), mentioned that SMC reduced the nurse turnover rate from 9.3% to 5.9% by assisting their workflow with AI and automation. In the session “Disruptive Technologies: Examining the Challenges and Opportunities of Cyber, AI and Beyond,” the Former Commander and U.S. Cyber Command and Former Director at the National Security Agency, Paul Nakasone, noted that AI-driven behavior changes could transform healthcare and prevent chronic diseases. Using AI to get suggestions on sleep, meditation, diet and stress management can all help in between doctor visits to chip away at chronic diseases. Through the collaboration of providers and technology, service in healthcare can be reshaped for the better, providing a gateway into personal medicine.

2. Improving Healthcare Quality through Interoperability

Another point of discussion at HIMSS was the role of digital technology and standards in improving healthcare quality. The National Committee for Quality Assurance (NCQA) has several initiatives, such as the Healthcare Effectiveness Data and Information Set (HEDIS) Fast Healthcare Interoperability Resources (FHIR) data model and the Bulk FHIR Quality Coalition, aimed at enhancing digital quality measurement by enabling end-to-end FHIR data exchanges. Quality measurement has evolved, and standardized clinical data helps accelerate that evolution. With modern computing platforms and technologies, such as Bulk FHIR, healthcare institutions can utilize real-time, continuous data processing, improving data encryption, data security and quality measurement. With comprehensive and timely data sharing among healthcare stakeholders, patients can get results from labs and pharmacies quicker, and can share their data across different healthcare offices, improving the affordability and quality of services.

3. Addressing Veteran Needs in Collaboration with CMS

On average, patients have their medical data located at 5.6 different locations, making interoperability, the ability of information to be exchanged between different health systems or technology systems, instrumental in helping patients and providers alike to improve the healthcare experience.

In the session “A Discussion: Transforming Care Through Interoperability,” members of the Department of Veteran Affairs (VA) and University of Oklahoma discussed the benefits of interoperability for veterans. Data sharing between the VA and the Center for Medicare and Medicaid Services (CMS) can address healthcare challenges, such as dementia, suicidal ideation, traumatic brain injury (TBI) and oncology by enabling the two agencies to collaborate to achieve actionable approaches for real-world cases. For example, improving care coordination, optimizing resource utilization and driving better outcomes for veterans and other patients.

Data sharing and collaboration is key to achieving efficient and effective healthcare delivery in the modernized health data infrastructure. In modernizing the infrastructure of the healthcare industry through interoperability, providers and patients can alleviate the work burden and work towards finding solutions at an expedited and swifter rate. The need for remote patient monitoring tools (RPM) is key to assist physicians and clinicians with increased data collection to support real-time treatment of these chronic illnesses for our veterans.

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4. Leveraging Data to Improve Service

Digital health increases the speed of learning, helps patients and providers overcome health inequity and increases the effectiveness of virtual care. In the session “Case Study: Missouri’s Mission to Transform Digital Health,” speakers Joshua Wymer, the Chief Health Information and Data Strategy Officer of the Missouri Department of Health and Senior Services (DHSS), and Natasha Ramontal, the Digital Health Strategist in Community Outcomes for HIMSS, discussed the DHSS’ journey to transform digital health. To address the needs of businesses, HIMSS and the DHSS teamed up, eliminating duplicate data sets, reducing volumes of data entry and improving regulatory oversight. Through their collaboration in improving the handling of data, the Missouri Department of Health and Senior Services became the first state level organization to successfully implement HIMSS’ Digital Health Indicator model.

5. Bolstering Cybersecurity Mitigation with OCR and HIPAA

In the session “Preparing for OCR’s Revived HIPAA Security Audits,” speaker Nadia Faheem Coster, the Executive Vice President of Permit Intelligence Services, discussed the Department of Health and Human Services’ Office of Civil Rights (OCR) 2025 audit program, which applies to fifty entities and business associates. The audit focuses on decreasing hacking and ransomware attacks.

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To combat bad actors, Coster recommends:

Maintaining a risk management plan

Conducting annual secure risk assessments

Ensuring all policies and procedures are up to date

Coster also emphasized the need for segmentation and asset inventory under the proposed Health Insurance Portability and Accountability Act (HIPAA) Security 2.0 rule. All related health systems and the IT industry should ensure their software and hardware are compliant under the proposed ruling. System resiliency is the gold standard for health systems looking to comply with the HIPAA Security 2.0 ruling.

Data sharing, cybersecurity awareness, interoperability and artificial intelligence all enable cheaper and quicker work, whether it is sharing information between healthcare providers or on internal day-to-day operations, while ensuring quality care. By enabling the latest solutions in healthcare technology, health systems can create a better work environment for providers and a seamless experience for patients.

To learn more about interoperability, legislation, cybersecurity and AI in healthcare, visit Carahsoft’s Healthcare Technology solutions portfolio to explore solutions showcased at HIMSS. For additional research into the key takeaways thought, industry and Government leaders presented at HIMSS, view Carahsoft’s extensive market research brief for a deeper dive.

Exploring the Future of Healthcare with Generative AI

Posted on by Linda Chen

Artificial intelligence (AI) is an active field of research and development with numerous applications. Generative AI, a newer technique, focuses on creating content—learning from large datasets to generate new text, images and other outputs. In 2024, many healthcare organizations embrace generative AI, particularly in creating chatbots. Chatbots, which facilitate human-computer interactions, have existed for a while, but generative AI now enables more natural, conversational exchanges, closely mimicking human interactions. Generative AI is not a short-term investment or a passing trend, this is a decade-long effort that will continue to evolve as more organizations adopt it.

Leveraging Generative AI

When implementing generative AI, healthcare organizations should consider areas to invest in, such as employee productivity or supporting healthcare providers in patient care.

Key factors to consider when leveraging generative AI:

Use case identification: Identify a challenge that generative AI can solve, but do not assume it will address all problems. Evaluate varying levels of burden reduction across use cases to determine its value.
Data: Ensure enough data is available for generative AI to provide better services. Identify inefficiencies in manual tasks and ensure data compliance, as AI results depend on learning from data.
Responsible AI: Verify that the solution follows responsible AI guidelines and Federal recommendations. Focus on accuracy, addressing hallucinations where incorrect information is provided such as responses that are grammatically correct but do not make sense or are outdated.
Total cost of ownership: Generative AI is expensive, especially regarding hardware consumption. Consider if the same problem can be solved with more optimized models, reducing the need for costly hardware.

Harnessing LLMs for Healthcare

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Natural language processing (NLP) has advanced significantly in recent decades, heavily relying on AI to process language. Machine learning, a core concept of AI, enables computers to learn from data using algorithms and draw independent conclusions. Large language models (LLMs) combine NLP, generative AI and machine learning to generate text from vast language datasets. LLMs support various areas in healthcare, including operational efficiency, patient care, clinical decision support and patient engagement post-discharge. AI is particularly helpful in processing large amounts of structured and unstructured data, which often goes unused.

When implementing AI in healthcare, responsible AI and data compliance are crucial. Robustness refers to how well models handle common errors like typos in healthcare documentation, ensuring they can accurately interpret how providers write and speak.

Fairness, especially in addressing biases related to age, origin or ethnicity, is also critical. Any AI model must avoid discrimination; for instance, if a model’s accuracy for female patients is lower than for males, the bias must be addressed. Coverage ensures the model understands key concepts even when phrasing changes.

Data leakage is another concern. If training data is poorly partitioned, it can lead to overfitting, where the model “learns” answers instead of predicting outcomes from historical data. Leakage can also expose personal information during training, raising privacy issues.

LLMs are often expensive, but healthcare-specific models outperform general-purpose ones in efficiency and optimization. For example, healthcare-specific models have shown better results than GPT-3.5 and GPT-4 in tasks like ICD-10 extraction and de-identification. Each model offers different accuracy and performance depending on the use case. Organizations must decide whether a pre-trained model or one trained using zero-shot learning is more suitable.

Buy Versus Build

When it comes to the “buy versus build” decision, the advantage of buying is the decreased time to production compared to building from scratch. Leveraging a task-specific medical LLM that a provider has already developed costs a healthcare organization about 10 times less than building their solution. While some staff will still be needed for DevOps to manage, maintain and deploy the infrastructure, overall staffing requirements are much lower than if building from the ground up.

Even after launching, staffing requirements are not expected to decrease. LLMs continuously evolve, requiring updates and feature enhancements. While in production, software maintenance and support costs are significantly lower—about 20 times less—than trying to train and maintain a model independently. Many organizations that build their healthcare model quickly realize training is extremely costly in terms of hardware, software and staffing.

Optimizing the Future of Healthcare

When deciding on healthcare AI solutions, especially with the rise of generative AI, every healthcare organization should assess where to begin by identifying their pain points. They must ensure they have the data required to train AI models to provide accurate insights. Healthcare AI is not just about choosing software solutions; it is about considering the total cost of ownership for both software and hardware. While hardware costs are expected to decrease, running LLMs remains a costly endeavor. If organizations can use more optimized machine learning models for specific healthcare purposes instead of LLMs, it is worth considering from a cost perspective.

Learn how to implement secure, efficient and compliant AI solutions while reducing costs and improving accuracy in healthcare applications in John Snow Labs’ webinar “De-clutter the World of Generative AI in Healthcare.”

Discover how John Snow Labs’ Medical Chatbot can transform healthcare by providing real-time, accurate and compliant information to improve patient care and streamline operations.