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.

Bridging Healthcare Sectors Blog Embedded image 2025

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.

Carahsoft-Innovative Care for Shadow Warriors-blog-embedded image-2025

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.

Carahsoft HIMSS AI Interoperability Tradeshow Recap Blog Embedded Image 2025

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.

HIMSS_Day 1_Case Study - Missouri Mission to Transform Digital Health

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.

HIMSS_Day 1_Preparing for OCR Revived HIPAA Security Audits

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

John Snow Labs Healthcare with Generative AI Blog Embedded Image 2024

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.

The Top Healthcare IT Events to Watch for in 2024

Posted on by Tim Boltz

From artificial intelligence (AI) to predictive analytics, edge computing, and beyond, healthcare organizations have access to a wealth of technologies that can help improve patient care and clinical performance—and there are many more tools on the horizon. This year’s healthcare IT conferences will be full of valuable insights about how these solutions can lead to better patient outcomes while helping organizations overcome some of the industry’s biggest challenges, including cybersecurity threats, staffing shortages, budget constraints, and more.

Here’s a list of the top healthcare IT events that Carahsoft recommends you check out in 2024. We’re looking forward to seeing you!

MESC

August 12 – 15, Louisville, KY

The Medicaid Enterprise Systems Community (MESC) is a national conference and community for state, federal, and private sector individuals to come together and exchange ideas related to Medicaid systems and health policy affected by those systems. This year’s conference will include a track focused on the relationship of the Medicaid program to healthcare IT, with discussions on using data to improve outcomes, the Trusted Exchange Framework and Common Agreement (TEFCA), Medicaid claims and health information exchange (HIE) integration, and more.

Visit the Carahsoft booth #542 and check out a speaking session from Rob Courtney, Healthcare CTO at Carahsoft, on August 13^th at 3pm.

GovExec Health Summit

August 16, Carahsoft Conference & Collaboration Center, Reston, VA

We’re thrilled to host this year’s GovExec Health Summit and welcome some of the top voices from both industry and government. This event will bring together healthcare leaders to discuss the tools and strategies they’re using to improve our nation’s healthcare system. They’ll share best practices, reveal their biggest challenges, and talk about the technologies and tactics they’re employing to make healthcare more secure, equitable, affordable, and available to all.

Sponsorships of this event are currently open to Carahsoft vendors. Contact healthcaremarketing@carahsoft.com for more information.

HIMSS AI in Healthcare Fall Forum

September 5 – 6, Boston, MA

HIMSS AI in Healthcare Fall Forum will cut through the AI hype with a comprehensive showcase of real-world examples illustrating the transformative potential of the technology across the healthcare continuum. You’ll learn best practices from industry peers and experts, learn how they use AI to overcome challenges and make their organizations smarter and more efficient, and glean actionable insights that you can use in your own healthcare setting.

Carahsoft is a proud sponsor of this year’s Healthcare Fall Forum and excited to share that our partner, SolarWinds, will be speaking at the event and showcasing at a kiosk.

GovCIO Health IT Summit

September 19, Bethesda, MD

Federal health IT leaders will converge at this year’s GovCIO Summit to discuss the latest developments in public health technology, including electronic health records modernization, emerging technology investments, data interoperability and sharing, and more. As always, the main focus will be on how organizations can run faster and better so they can deliver better services to customers.

Visit some of Carahsoft’s top vendors, including Leidos, ServiceNow, Snowflake and Splunk, to discover how their latest innovations are helping healthcare agencies achieve their mission of providing better and more efficient services to the public. Carahsoft is also looking forward to celebrating the winners of the GovCIO Health IT Flywheel Awards.

HIMSS Cybersecurity Fall Forum

October 31 – November 1, Washington, DC

Healthcare remains one of the most targeted sectors for cybersecurity threats. This year’s HIMSS Cybersecurity Forum will be focused on the tactics needed to combat increasing cybersecurity threats had on, providing best practices for organizations to proactively shield ever-expanding digital footprints. Discussions will center on the latest technologies available to protect data inside and outside enterprise walls.

Carahsoft is a proud partner of this year’s Fall Forum and will share exclusive offers with the company’s partner network ahead of the event.

NCQA Health Innovation Summit

October 31 – November 2, Nashville, TN

The Health Innovation Summit brings together leaders across the healthcare ecosystem to connect with innovators who are advancing healthcare quality through AI, data solutions, and more. This year’s conference will feature more than 60 sessions on topics centered around the themes of Equity, Digital Quality, Behavior Health, and Value-based Care.

Meet with Carahsoft representatives at the Summit and learn how our partners can help your organization meet its IT goals.

CHIME24 Fall Forum

November 5 – 8, San Diego, CA

The College of Healthcare Information Management Executives—CHIME—will host its annual Fall Forum, where digital health leaders will brainstorm, problem-solve, and develop initiatives to advance healthcare using the latest tools and resources. This year’s event will include new tracks featuring “Elite Exchanges” with top healthcare IT experts, the “Visionary Voices” of innovation leaders in the field, and even a CHIME Fun Run and Yoga Class.

Carahsoft is holding a focus group, hosted by Lawrence Stowers, Senior Business Development Manager, with one of our vendor partners.

Learn More About Previously Held Events:

229 Project CIO Roundtables

June 27 – 29, Napa, CA

229 Project CIO events are small gatherings of healthcare IT leaders who convene to discuss innovative solutions to the industry’s greatest challenges. This year the 229 Project will host a series of CIO Roundtables. Carahsoft will be there as part of our new and growing partnership with This Week Health, the organization behind the 229 Project.

Meet Carahsoft executives and learn about how technologies like AI, cloud computing, data analytics, and others are helping healthcare organizations deliver better patient care. Carahsoft is also offering sponsorship opportunities to interested vendors. Contact healthcaremarketing@carahsoft.com for more information.

Healthcare has undergone a lot of change over the past couple of years, and this year promises to be no different. New challenges require new strategies and technologies, and each of these events will deliver both. You’ll discover new solutions that will help your agency improve and modernize its service offerings to meet the needs of the moment while driving toward the future.

Please contact us at healthcaremarketing@carahsoft.com to learn more or to get involved in these events. For more information on Carahsoft and our industry leading healthcare IT solutions, visit our Healthcare portfolio, and for more about Carahsoft events, visit our Government Events page.

The Evolving Landscape of Cybersecurity in the Healthcare Sector

Posted on by Tim Boltz

As the nation becomes increasingly interconnected through technology, industries are also utilizing new technology to meet patient expectations for quick diagnoses and access to results. However, when this technology usage includes personal or healthcare data that may be sensitive for patients or health systems, cybersecurity becomes paramount and necessitates the implementation of new cyber standards. The Healthcare Information and Management Systems Society (HIMSS), a global society focused on information and technology in the health ecosystem, held its annual HIMSS 2023 Healthcare Cybersecurity Forum in September. Here, industry professionals converged to innovate and discuss strategies for safeguarding the healthcare sector against cyber-attacks. To protect against breaches, the healthcare system must integrate and scale to achieve a more connected technological landscape across the industry to better serve patients.

Ransomware and Cybersecurity in Healthcare

By connecting and improving interoperability between healthcare systems/EHR platforms, overall patient service is improved; however, with features such as digital integration, migration to the cloud and the incorporation of remote workers, cyber vulnerability has simultaneously increased. Bad actors oftentimes target healthcare agencies with ransomware for hire. With the increased capabilities of artificial intelligence (AI), even inexperienced bad actors can create sophisticated and dangerous attacks. Due to the immense financial loss of these attacks, it is vital that agencies prioritize cybersecurity. Hospitals, other healthcare centers, and especially their third-party stakeholders, now face a new barrage of ransomware attacks and data breaches.

There are a couple of steps administrators can take to protect hospital systems, patients and stakeholders.

Implement ‘Security-by-Design,’ a strategy where providers ensure that all products are secure by design and default, with all IT solutions and enterprise environments.
Maintain pace with the evolution of artificial intelligence (AI) and utilize it to defend against bad actors.
Standardize a detailed incident response plan that includes a thorough business continuity plan.
Exchange defense strategies between stakeholders — a united front is stronger than trying to face threats alone.
Implement multi-factor authentication and zero trust on all end users so information is accessed by the parties that need to know.
Apply data encryption to systems to protect sensitive information against hackers.

AI in the Healthcare Industry

While bad actors have utilized the capabilities of AI, the healthcare industry can also use it to improve cybersecurity. AI does not need breaks, and therefore can run all day reducing the time needed to identify a security breach by analyzing large amounts of data in real time. On a similar note, AI can identify multiple devices and manage network endpoint detection for large networks. AI has been used to predict Domain Name System (DNS) attacks before occurrence, preventing and mitigating these attacks. It can implement Secure Access Service Edge (SASE), analyze identities and manage risk. With its strength of detecting patterns, AI can distinguish subtle patterns of attack that would otherwise go unnoticed by people.

Due to the nature of this new technology, the healthcare industry must carefully decide whether it wants to implement AI, and to what extent it will be used. In terms of cybersecurity, AI may be the answer to providing a secure standard for an interconnected healthcare industry.

Partnerships to Strengthen Cybersecurity in the Healthcare Industry

To provide the best security for patients and stakeholders in the healthcare sector, the federal government and technology industry have joined the battle against bad actors in healthcare. Several federal agencies including the Administration for Strategic Preparedness and Response (ASPR), will lend a hand in bolstering the cyber posture of the American health system. The ASPR is working alongside Cybersecurity and Infrastructure Security Agency (CISA) and private sector partners to analyze the cyber threat landscape of the healthcare sector. Over the next year, the agency hopes to create a cyber division, introduce a cyber risk identification tool, track cyber incident reports and gain resources and buy-in from senior leadership. Another agency, the Department of Health and Human Services (HHS) will strengthen cybersecurity by partnering with hospitals, health organizations and federal agencies, including CISA, that have additional information on cyber threats. Under the HHS, the Health Industry Cybersecurity Practices (HICP), a publication in response to the Cybersecurity Act of 2015, provides practical cybersecurity guidelines for the healthcare industry.

HICP covers several major threats that the industry faces, including:

Social engineering
Ransomware
Payment fraud
Loss or theft of equipment
Insider, accidental, or malicious data loss
Attacks against network connected medical devices

To counter said threats, the HICP has listed its top ten best cybersecurity practices. It advises to:

Protect email systems from phishing breaches
Implement endpoint protection systems to all hardware devices
Utilize identity and access management, regardless of the size of the health care organization
Check cyber posture to prevent data loss
Manage IT assets
Execute network management for wireless or wired connections before interoperating systems
Enact vulnerability management
Take advantage of incident response plans to discover network cyberattacks
Extend relevant cybersecurity practices to network connected medical devices
Establish and implement cybersecurity and governance policies^[1]

By enabling organizations to evaluate capability against cybersecurity attacks, HICP aims to protect patients and stakeholders from private data loss.

While cyber attacks are always growing in complexity, the healthcare industry can evolve and provide superior service for its patients through the use of tested security strategies, AI and federal aid.

Visit Carahsoft’s Healthcare Solutions Portfolio to learn more about improving cybersecurity practices in the healthcare sector.

Resources:

^[1] “HICP’s 10 Mitigating Practices,” Department of Health and Human Services, https://405d.hhs.gov/best-practices

*The information contained in this blog has been written based off the thought-leadership discussions presented by speakers at the HIMSS Fall Forum in September 2023.*

Becker’s 2023: Optimizing the Medical Field and User Experience Through AI

Posted on by Tim Boltz

Medical practices are quickly entering an age where Artificial Intelligence (AI) is growing and expanding to help improve user and patient experience, as well as increase automation in the work environment. During the Becker’s Health IT + Digital Health + RCM conference, healthcare and IT leaders came together to discuss how to adapt to the latest trends in the field, including telehealth, cybersecurity, diversity and the simplification of healthcare through AI.

The implementation of AI in the medical world is increasing as doctors and researchers explore ways to make healthcare as seamless as possible for both doctors and patients. Telehealth, the ability to meet with a healthcare provider virtually rather than in-person, is an important process that doctors are utilizing as the patient population and their needs continue to grow. Doctors and medical staff will soon be able to:

Use AI for administrative tasks to increase healthcare staff efficiency
Continue to consolidate electronic medical records (EMR) onto a singular platform, making it easier for providers across a health system to access up-to-date patient information
Close the access gap in more rural and underserved areas to collect data and maximize face time with patients
Utilize technology to focus on holistic health and increase discussion about behavioral nudges, for example a smart watch mentioning that it is ‘time to stand’
Improve the digital experience for patients of all demographics through easy access medical records and utilization of telehealth for older populations

Diversity in Telehealth Technology

With the progression of AI and telehealth, hearing diverse voices on the implementation of these tools cannot be overlooked as medical professionals change the way they utilize technology. It is imperative that new technology is working to make medical support and processes simple for communities that may not have as many resources when it comes to telehealth and digital medical records. For example, a chat box that pops up on a medical practice’s website may have been created to help patients, but non-English speaking patients do not benefit if the box is not programmed to display and understand other languages.

Skillset diversity must also be considered when doing research. Instead of finding medical staff and researchers based only on a certain educational background, it is beneficial to consider candidates with a range of experience as well. Inviting different voices into the medical field can only benefit the way healthcare progresses and provides better outcomes to patients.

A Platform-First Approach: Creating Maximum Value for Enterprises

It is important for medical companies to create maximum value within the applications and systems that they are paying for. Technology is evolving at such a rapid pace that often, by the time a new technology has been implemented by an enterprise, it is already basically obsolete and needs to be replaced. This is where the platform-first approach comes into play. With this approach, companies prioritize getting the most value from existing applications that are already purchased and installed in the enterprise. For example, ensuring that there is no overlap between the use cases of multiple apps a company is paying for.

The platform-first approach includes:

Leveraging platforms that are already currently in use
Adding features that are easy to use with easily accessible interfaces
Focusing less on training and more on hands-on experience
Being selective in what tools and platforms are implemented
Being agile and looking at a platform strategy instead of individualistic needs
Ensuring that what an organization already has makes sense in regard to the bigger picture and is not being underutilized

Moving Forward: Maximizing Every Tool and Every Person

Even with today’s fast-paced changes, there are processes and elements of healthcare that AI cannot replace. AI is rapidly growing and evolving, but it cannot take away the qualities of being a human, especially in the medical field. If a bot can do a simple task, such as filing paperwork, it is best to let the bot do it, and allow doctors to spend more personalized time with patients. It is ideal to offer digital opportunities in the workplace, but not to the extent that it hinders user experience. Technology can alleviate pressures and remove friction from a workforce, but at the end of the day, AI cannot replace the personal human element of care that a doctor provides to a patient.

AI is not something to fear, but rather something to embrace in the areas where it meets providers and patients’ needs. It is also important that every voice is heard while technology advances, and minority groups are not left behind in the fast-moving AI path. Companies and researchers are focusing on where the demand is and either changing or providing additional technology as frictionless and simple as possible.

Visit Carahsoft’s Healthcare Solutions Portfolio to learn more information and key insights for the IT and Healthcare industries.

*The information contained in this blog has been written based off the thought-leadership discussions presented by speakers at the Becker’s Healthcare Summit 2023.*

AI Paving the Way for New Healthcare Innovations

Posted on by Tim Boltz

With the boom of consumer facing artificial intelligence (AI) through Chat GPT and other tools, the discussion of AI applications within healthcare has also become a priority with exciting new developments. Pre-COVID, there was some hesitancy with telehealth, whereas now it has become a highly valued, main offering within the healthcare ecosystem. Similarly, AI is becoming a key mobilizer for improved patient outcomes and more efficient provider processes. Through the power of the cloud and supercomputing, AI is opening doors for transformational results throughout all aspects of healthcare including personalized medicine, medical research and trials, treatment efficacy and more. Once healthcare organizations better understand the benefits that AI unlocks for all stakeholders, they can take the next steps to apply it to their individual health networks.

Benefits of AI in Healthcare

Patients

The potential uses for AI in the medical field are endless and apply to all levels of healthcare with improvements for patients, healthcare providers and healthcare administrators. When organizations invest in AI, it decreases wait times for patients, optimizes appointment availabilities and increases overall access. AI can also interpret imaging and detect illnesses faster which minimizes treatment delays. Through wearable technology and personalized medicine, AI is enabling patients to gather health data and manage treatment from home. This customizable capability is especially valuable for rural or low-income patients to level out the social determinants of health and offer treatment through telehealth while saving on costs for all involved.

Medical Providers

AI can significantly reduce the administrative burden for medical providers by automating routine tasks and increasing bandwidth for front line staff to complete other medical duties. A hallmark capability for AI is analyzing data which it can aggregate from wide pools of information to suggest electronic health record (EHR)-based interventions, predict possible future patient ailments and offer a more unified, comprehensive picture. In a post-COVID-19 world, AI healthcare data applications offer the extremely relevant and desired ability of anticipating future public health crises through research and analytics. These AI forecasts can accelerate understanding for policy creation, reinforce healthcare resources and provide precision public health.

Healthcare Administrators

Applying for grants can be a time-consuming process, but with AI evaluating grant proposals, healthcare administrators can quickly identify which grants to apply for and which to pass. AI can also detect potential fraud cases. It is currently being implemented at the Centers for Medicare and Medicaid Services to make sure that applicable citizens receive the proper care and services they deserve, and by the Department of Health and Human Services to analyze counterfeit drugs to prevent fraud and preserve the efficacy of vital medications.^[1]

Making AI a Reality for Individual Healthcare Networks

With these groundbreaking benefits, instituting AI is a clear case. Currently about 98% of healthcare organizations have or are planning to implement an AI strategy.^[2] To make this a reality, healthcare organizations must focus on three main areas:

Understanding the technology capabilities, requirements and use applications
Educating providers and building trust with patients
Instituting privacy and security policies

Understanding what AI can do, which applications to pursue for individual hospitals’ use cases and what it takes to operate the technology, needs to be a collaborative effort between all levels of a hospital system. Many clinicians are burned out and looking for tools that will ease their burden while also improving care. Through proactive conversations with medical providers and C-suite stakeholders, CIOs and management can present the investment benefits and ultimately increase full system buy-in and ability to scale effectively and efficiently.

Educating medical ecosystems and patients with the digital skills and knowledge to utilize the technology resources is also important for proper usage and increased adoption. Once providers understand the potential of AI and the practical ways it can improve their workflows, they can be confident in using the tools and clearly articulating the information to patients. Trust is a huge component of thriving, effective care. Clearly presented information establishes that rapport with patients and clinicians. Overall, training re-establishes for providers and administrators the priorities of patient safety, professional accountability and protection from reputational, legal and financial risk to ensure that the AI technology is used responsibly. Through proper education, patients also feel empowered with how AI is being implemented in their care and the commitment of their medical team to pursue the safest and best outcomes.

The last key element to establishing the use of AI in healthcare and maximizing its benefits is keeping privacy and security top of mind. Hospital management need to consider what policies and procedures they will institute to protect patients’ data and prevent bad actors from exposing personal information or disrupting care. Data integrity is also vital to keep AI algorithms’ predictions and assessments accurate. Healthcare network administrators will need to evaluate the best method to securely store that data whether through a cloud provider or building encrypted data storage on premises using private AI with an internal high computing platform specific to the individual hospital. These management policies and governance frameworks will not only offer standardization, they will also help build trust with patients while providing enough flexibility for AI innovation and growth.

Ultimately the partnership of AI with medical experts enables the perfect balance to deliver rapid, actionable insights and improvements while humans manage the usage of the technology to ensure quality care for each medical case. The future of healthcare is patients being able to take greater ownership of their health through aggregating additional data and applying AI to achieve better treatments. Providers and staff will be able to maximize their time through AI optimizations and provide more proactive care based on AI predictions. These advancements will revolutionize the healthcare industry as we know it and pave the way for a healthier society. Some are calling AI the next quantum leap in technology, and healthcare should be at the forefront of leveraging the resources to drive improvement, accelerate innovation and save lives.

To learn more about how Carahsoft is enabling healthcare organizations to achieve technology innovations such as AI, visit our Healthcare Technology and AI and Machine Learning solutions portfolios and speak to a representative who can help meet your solution needs today.

Resources:

[1] “HHS CIO Karl Mathias Details 3 Promising Applications of AI in Health Care Sector,” GovConWire, https://www.govconwire.com/2023/05/hhs-cio-karl-mathias-details-3-promising-applications-of-ai-in-healthcare/

[2] “AI Survey: Health Care Organizations Continue to Adopt Artificial Intelligence to Help Achieve Better, More Equitable and Affordable Patient Outcomes,” Optum, https://www.optum.com/about-us/news/page.hub.ai-survey-health-care-organizations-adopt-artificial-intelligence.html

Transitioning Towards a Sustainable Healthcare Mindset at DHITS 2023

Posted on by Mike McCalip

Since the Defense Health Agency (DHA) oversees the entire military health system, it knows how important it is for members of the military and their doctors to be able to access medical records quickly and universally. In August 2023, the DHA hosted the Defense Health Information Technology Symposium (DHITS) where military health system (MHS) stakeholders discussed its newest asset– the Military Health System (MHS) Genesis. With the creation of this universal health record database, military members’ health records can easily be accessed, whether they are active-duty or not. Currently being rolled out in waves, the MHS Genesis plans to expand health records accessibility between different military branches.

Benefits from MHS Genesis

While still new, the MHS Genesis already shows improvements in several areas which include:

Enterprise and Cultural Interoperability: Some doctors may have different views or standards than others. This universal system makes patient files easily accessible to any doctor, regardless of military branch or practice. Now, the IT systems and Electronic Health Records (EHR) work together seamlessly. Different military branches will be able to use the same uniform system when it comes to accessing patient files and records, making the job easier for both patients and doctors.
Patient-Centric Care: With the MHS Genesis technology enhancements, it is now easier than ever to meet patients at their home on a Tuesday through telehealth. Telehealth is especially important within the military to give patients flexibility in choosing appointments as well as requesting information or gaining access to their medical records.
System and Process Automation: Medical professionals struggle with the global constraint of time. The MHS enables providers to automate tasks, saving time on things like paperwork and allowing for more one-on-one patient care.

Next Steps for the MHS

Currently, the entire DoD is at an 86% implementation rate for the MHS Genesis. It is actively being used in all DHA locations in the U.S. with plans to incorporate the universal health record system into the remaining treatment facilities outside of the United States by the end of 2023.

As leaders within the MHS continue their journey into modernization and sustainability, it is important that they equip people with the right knowledge and skills to be able to deliver their future vision of what military medicine should look like. The number one purpose of this emerging technology is to ensure the medical readiness of the military. The MHS Genesis will help guarantee that this stays a top priority, as it creates better access to information and helps deliver that information to the decision makers. Using Artificial Intelligence (AI) in medical settings is an exciting development that will help with diagnosing, personal assistants, risk analysis, forecasting and more. Through AI support, doctors will be able to spend more time on their patients and less time on large amounts of paperwork.

While the implementation of the MHS Genesis has been a success, all branches of the DoD must continue to communicate and collaborate openly and effectively. They must also involve other stakeholders by breaking down data silos and sharing freely what does and does not work in an enterprise setting. This will ultimately help with addressing public health challenges, ethically using AI in a medical setting, cybersecurity and more.

The MHS journey coincides with changing the deployment approach to a “sustainment” mentality. A sustainment mindset involves focusing on:

Optimization of user experience: Seeking feedback and continuing to adjust the technology to enhance user experience
Scalability: Scaling the success and implementing the changes across the enterprise if success is found with one configuration setup
Standardization: Creating a standard vocabulary and process for enterprise usage, so people communicate with the same terminology across the MHS

At the end of the day, the most important thing is that patients receive the care they need. Through the MHS Genesis and the IT solutions discussed at DHITS, the MHS hopes to greatly boost patient experiences, increase trust in the military health system, reduce healthcare provider burnout and give patients and clinicians access to data in real-time.

Visit Carahsoft’s Department of Defense and Healthcare solutions portfolios to learn more about DHITS 2023 and how Carahsoft can support your organization in these critical marketplaces.

*The information contained in this blog has been written based off the thought-leadership discussions presented by speakers at DHITS 2023.*