Digitizing records has dominated IT investments in healthcare for the past several years, and healthcare organizations focused on migrating as many clinical activities as possible to electronic health record (EHR) systems. Of course, migrating to EHR systems eliminated the need for chart rooms, but migration created other problems, for example the frustrating and time-consuming administrative tasks for physicians and other clinicians that resulted in high levels of burnout.
The second major phase in the development of healthcare IT has begun. The first major phase was focused on capturing and recording information. The second major phase is focused on applying and using the information. Emerging solutions in the *Clinical Workflow Solutions Market* are designed to reduce administrative barriers, simplify clinical work, and provide real-time information to clinical teams to assist in the delivery of individualized, preventive care. *From Passive Documentation to Ambient Workflows* Automating clinical workflow and leveraging ambient intelligence are recent trends in digital health. Clinicians burn out from long hours of data entry caused by the first generation of electronic health records (EHRs) is well documented. Clinicians would often have to log notes after their clinical shifts. Transforming the work of clinicians through the intelligent use of technology is the goal of many healthcare organizations. Rapid growth within the *AI in Medical Scribing Market* has made it possible for clinical documentation to be automatically captured, analyzed, and recorded. Clinicians no longer must rely solely on manual entry, as ambient technology performs documentation in the background. * *First-Generation Healthcare IT:* Manual data entry, static template forms, and fragmented software tools. * *Next-Generation Intelligent IT:* Passive audio processing, real-time structured data generation, and automated clinical summaries. By embedding automation directly into existing care routines, technology shifts from an operational tax back to what it was originally intended to be: a clinical enabler. *The Distributed Care Ecosystem: Telehealth, RPM, and Digital Therapeutics* Care delivery is no longer anchored exclusively to physical clinics and tertiary care centers. Over the past decade, virtual care platforms, remote patient monitoring (RPM) sensors, and software-based interventions have decentralized the care continuum. Innovations tied to the *Smart Hospitals Market* are helping bridge physical facility operations with these distributed, home-based models. This decentralization creates new requirements for healthcare technology infrastructure: * *Continuous Data Streaming:* Moving from periodic point-in-time measurements to real-time, longitudinal data streams from wearables and biosensors. * *Clinical Triage Engines:* Processing thousands of continuous data points without overwhelming clinical teams with alert fatigue. * *Software as a Therapy (DTx):* Integrating prescription digital therapeutics into routine EHR prescription pathways, backed by clinical trials and regulatory clearances. *Interoperability as More Than a Compliance Goal* Healthcare IT officials routinely discuss interoperability as a compliance goal. Meanwhile, dissatisfaction among clinical staff managing a lack of interoperability has reached a tipping point. When patient care data cannot follow the patient, it increases both the risk of care errors and the cost of care. This is especially true when the patient receives care from multiple providers including specialists and caregivers in other settings, e.g., emergency care and other services in the patient’s home. Healthcare industry research shows health systems are switching from monolithic EHR systems to interconnected platforms leveraging the *Healthcare Cloud Computing Market* to build scalable, FHIR-based API solutions. *Managing Risks in a Connected Environment* Connectivity increases the attack surface. As a result, the protection of health system data and resources has rightfully become a focus of health system board members. Healthcare system boards have a fiduciary obligation to protect their organizations' resources and ensure that patient care services are provided. Balancing these competing interests defines contemporary health system digital security. Securing the modern digital healthcare ecosystem requires balancing openness with stringent defense mechanisms: * *Zero-Trust Architecture:* Verifying identity and device integrity continuously across all system access points. * *Data Privacy Governance:* Ensuring strict compliance with HIPAA, GDPR, and regional patient consent regulations while maintaining diagnostic data utility. * *Third-Party Risk Management:* Auditing software vendors connected to medical devices, and cloud providers to prevent supply-chain vulnerabilities. *Evaluating Healthcare Technology Beyond the Hype* Investing in healthcare technology requires looking far beyond vendor claims or generic growth forecasts. At Roots Analysis ( https://www.rootsanalysis.com/ ) , over a decade of evaluating digital health and healthcare IT markets demonstrates that sustainable technology adoption depends on solving three practical challenges: * *Workflow Integration:* Will the software save clinicians time, or add another screen to monitor? * *Interoperability Readiness:* Can the solution ingest and export structured data using open standards? * *Reimbursement & ROI:* Is there an established CPT billing code or a proven cost-reduction model for the health system? Looking ahead, the digital health market will favor technologies that merge seamlessly into daily clinical life, turning complex patient data streams into actionable, confident medical decisions. -=-=-=-=-=-=-=-=-=-=-=- Links: You receive all messages sent to this group. View/Reply Online (#24778): https://lists.onap.org/g/onap-discuss/message/24778 Mute This Topic: https://lists.onap.org/mt/121729142/21656 Group Owner: [email protected] Unsubscribe: https://lists.onap.org/g/onap-discuss/unsub [[email protected]] -=-=-=-=-=-=-=-=-=-=-=-
