Jelvix at HIMSS 2025 and Health Tech Award Event: Key Takeaways

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Spring has kicked off with a major spotlight on healthcare technology, bringing top industry leaders together at HIMSS 2025. HIMSS President and CEO Hal Wolf reported that the event gathered about 30,000 professionals from top healthcare companies who seek practical solutions to make care more accessible and efficient.

Experts from Jelvix also visited the conference, actively participating in tech showcases, engaging with industry leaders, and discussing the future of healthcare.

Top Healthcare Companies Gathered at HIMSS

In this article, we’d like to highlight key takeaways from HIMSS 2025 and cover the most impactful trends, expert insights, and our contributions to digital health innovation.

The Importance of the HIMSS Conference for Jelvix

Global events like HIMSS devoted to medical care and its improvements are a chance to exchange ideas and explore groundbreaking technologies. It’s a place to connect with industry leaders, explore the latest innovations, and share expertise in AI, big data, and other solutions that advance healthcare.

The HIMSS conference allows our professionals and top managers to bring fresh ideas back to our projects and use them to develop cutting-edge products and tools that improve patient care, optimize operations, and enhance security. Our goal is to use technology to make healthcare smarter and more efficient, and HIMSS plays a big role in this mission.

HIMSS Global Health Conference and Exhibition: A Hub for Digital Transformation

As one of the key events in healthcare and medical tech, HIMSS allows IT professionals, innovators, and care providers to shed light on the most critical challenges in the industry and also uncover the benefits of big data analytics in healthcare and its impact on care efficiency.

AI and Machine Learning in Healthcare, EHR Interoperability and Advancements, Cybersecurity and Compliance Challenges, Predictive Analytics and Big Data in Healthcare

This year’s event highlighted key trends that make the biggest impact on care providers, patients, and medical tech developers.

AI and Machine Learning in Healthcare

At HIMSS 2025, experts talked about how AI-powered tools help reduce paperwork, improve diagnoses, and support better patient care. Speakers highlighted that automated medical records and AI-assisted treatment plans have a real potential to make care more efficient for both doctors and patients.

EHR Interoperability and Advancements

With the growing demand for seamless data exchange, EHR interoperability has become a major demand for hospitals. Experts explored how FHIR benefits seamless data sharing, while API integrations and cloud-based solutions help reduce paperwork and gaps in patient care.

Cybersecurity and Compliance Challenges

As healthcare becomes more digital, the risk of cyber threats and data breaches increases. HIMSS 2025 addressed key security concerns, highlighting zero-trust architecture, advanced encryption methods, and changing compliance standards like HIPAA and GDPR to protect patient data.

Predictive Analytics and Big Data in Healthcare

With the rise of value-based care, enterprises use big data and predictive analytics in healthcare to identify trends, detect disease risks earlier, and personalize treatment plans. HIMSS 2025 showcased real-world cases that use AI-powered predictive models to improve patient outcomes.

Jelvix’s Key Takeaways from HIMSS 2025

Jelvix actively participated in discussions, exchanging insights related to AI, interoperability, and cybersecurity with other HIMSS attendees.

Jelvix at HIMSS 2025

“Healthcare providers need seamless data exchange, but achieving interoperability is still a work in progress,” says Oleksandr Andrieiev, CEO of Jelvix. “HIMSS made it clear that collaboration and open standards is what we should aim for.”

Medical AI Needs Strategy, Not Just Innovation

In 2024, AI-driven digital health companies received 42% of the total global funding for the sector. Although clinics recognize the power of AI to make care more efficient, precise, and fast, they must have a well-designed implementation strategy. Healthcare providers need clear AI governance policies to ensure seamless adoption while maintaining compliance and ethical standards.

Interoperability Is Still a Work in Progress

Many healthcare organizations are adopting FHIR-based interoperability to improve data sharing between systems. However, such challenges as outdated legacy systems, inconsistent data formats, and lack of vendor cooperation still slow the progress down. While interoperability has come a long way in the last decade, achieving seamless healthcare data exchange will require stronger collaboration across the industry.

Cybersecurity: Reaction Isn’t Enough

With ransomware attacks having surged 125% as of winter 2025, healthcare organizations can’t afford to wait until a problem occurs. To stay ahead of threats, medical entities must go beyond HIPAA compliance and invest in advanced threat detection, zero-trust security models, and continuous risk assessment.

Predictive Analytics and Big Data Are Underused

Predictive analytics is transforming early disease detection and personalized medicine, but its potential goes far beyond patient care. AI-driven insights can optimize hospital operations, improve resource management, and improve administrative decisions. However, many healthcare organizations still face challenges like data silos and slow analytics adoption, leaving room for better use of big data to improve efficiency and care outcomes.

User-Centric Design Means Success

Many health tech solutions fail not because of weak technology, but because of poor user experience. A key message from HIMSS 2025 was that clinician-friendly design, intuitive interfaces, and patient-centered digital tools are critical for successful tech adoption.

HIMSS News: Insights from Healthcare Leaders and Medical Tech Experts

HIMSS 2025 brought together some of the brightest minds in healthcare, technology, and compliance together to discuss the challenges and opportunities impacting digital health.

EHR Integration from Day One Is Critical

Startups often develop solutions first and think about EHR integration later, but that approach isn’t effective. Kali Arduini Ihde, Northwestern Medicine, stressed that clinicians need innovations to be seamlessly integrated from day one to fit into real-world workflows.

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Explore how API integration is transforming healthcare by enabling seamless data exchange, improving interoperability, and enhancing patient care through secure and efficient systems.

Technology Alone Won’t Solve Challenges

Innovation requires changing outdated processes. Roberta Schwartz, Houston Methodist, highlighted that documentation takes up 50% of a nurse’s time, and AI-driven automation could double patient capacity per nurse. However, resistance to changing traditional care models makes adoption difficult.

The Growing Dependence on Reliable IT Systems

As healthcare becomes more digital, system reliability is a must. Adam Landman, Mass General Brigham, raised concerns about what happens if EHRs and AI-powered tools go down overnight, given how dependent today’s clinicians are on technology.

The Importance of Building Bias-Free AI Models

Dr. Alexander Ryu, vice chair of AI and innovation at Mayo Clinic, emphasized that medical entities need to address biases in AI models by collaborating with clinicians and partnering with established AI developers.

Health Tech Award Event: Recognizing Healthcare Innovation Companies

Spring has been a season of major healthcare events. After an inspiring week at HIMSS 2025, Jelvix headed to New York for the Health Tech Award Event, a valuable recognition of outstanding achievements in healthcare technology, honoring companies that drive innovation and improve patient care through digital solutions. 

As healthcare continues to develop and adopt new tech, this award highlights the most impactful advancements in AI, interoperability, cybersecurity, and data-driven healthcare systems.

Top 100 Technology Companies

Jelvix Recognized Among Top 100 Technology Companies of 2024

At this year’s Health Tech Award Event, Jelvix was honored as one of the top 100 healthcare companies of 2024, which was a recognition of our commitment to digital transformation in healthcare. This award reflects our dedication to building AI-powered solutions, advancing interoperability, and enhancing healthcare efficiency through technology.

Jelvix was recognized for its work in AI-driven clinical decision support, secure healthcare data exchange, and advanced EHR integrations. We’re proud to help healthcare providers simplify operations, improve patient care, and adapt to new technology challenges.

An Exclusive Gathering of Industry Leaders and Innovators

The Health Tech Award event brings together top healthcare executives, technology leaders, investors, and policymakers to celebrate the most groundbreaking achievements in health technology. 

The event serves as a platform for:

  • Showcasing the latest innovations in digital health, AI, and interoperability;
  • Connecting with industry leaders changing the future of healthcare;
  • Exploring investment opportunities in healthcare tech.

Aligning with Our Mission and Vision for the Future

At Jelvix, we believe technology should make healthcare simpler, smarter, and more secure. Our recognition among the top health tech companies validates our mission to help providers work more efficiently, improve patient outcomes, and stay ahead in a rapidly changing industry.

We’re focused on AI-driven automation to reduce admin tasks, stronger interoperability to connect healthcare systems, and enhanced cybersecurity to protect patient data. This recognition is a motivation for us to keep building future-ready solutions that truly make a difference.

The Future of Digital Health: Key Insights from Industry Experts

As healthcare technology advances, organizations face both exciting opportunities and complex challenges in adopting next-generation digital health solutions and AI-driven innovations. At HIMSS 2025 and the Health Tech Award Event, industry experts shared valuable insights on navigating these changes, ensuring compliance, and driving sustainable innovation.

Adopting Machine Learning and AI for Healthcare: Challenges and Solutions

The adoption of AI and digital health solutions makes healthcare more accessible and personalized, but medical companies still face hurdles. Addressing them is critical for successful implementation.

HIMSS Global Health Conference and Exhibition

Regulatory Uncertainty

As AI adoption grows, changing policies create uncertainty, requiring medical enterprises to ensure compliance from the start. Laws like HIPAA, GDPR, and 42 CFR Part 2 should be part of the technology planning process. This helps prevent delays and ensures that new solutions meet security and privacy standards from day one.

Interoperability Issues

Many healthcare systems rely on outdated EHRs and siloed data, making AI integration challenging. Without standardized data exchange, AI-driven tools cannot fully support clinical decision-making and workflow automation. Healthcare systems must implement FHIR and API-driven integrations to connect EHRs and analytics tools without compromising security.

Cybersecurity and Data Privacy Risks

AI solutions handle massive amounts of sensitive patient data, making them prime targets for cyber threats. In the first half of 2024, 78% of health-related U.S. data breaches were caused by hacking which highlights the urgent need for stronger security measures. Companies must implement end-to-end encryption, access controls, and AI-specific security frameworks to prevent breaches. Also, FHIR and API-driven integrations can securely connect EHRs, telehealth platforms, and analytics tools without exposing patient data to unnecessary risks.

Implementation and Adoption Barriers

AI solutions require training, infrastructure upgrades, and workflow adjustments, which can slow adoption. Without proper staff training and AI explainability, healthcare providers may struggle to trust and effectively use AI-driven insights.

Ethical and Bias Concerns

AI models can inherit biases from training data, leading to potential disparities in diagnostics and treatment recommendations. Providers must ensure that their AI solutions are transparent, fair, and easy to understand for doctors and regulators. Setting clear policies helps ensure AI-driven insights are trustworthy and can support equitable and safe care.

How Jelvix Boosts Digital Transformation and Data Analysis in Healthcare

The future of digital health relies on smart technology choices. As a seasoned technology partner, Jelvix helps healthcare organizations adopt AI, automation, and data analytics to enhance care, optimize operations, and improve patient outcomes.

We develop custom and compliant AI models for medical companies that want to benefit from predictive analytics and automation. Our solutions ensure seamless interoperability, robust cybersecurity, and strict compliance with industry regulations to protect patient data.

If you need to develop a medical solution from scratch or want to integrate an existing one with careful data migration, our expert can help. Reach out for a tailored consultation based on your business needs and goals.

Need a reliable technology partner?

For 15 years, Jelvix has been empowering industry leaders, SMEs, and trailblazers with bespoke software solutions that drive innovation and accelerate growth.

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