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Electronic health records giant Epic Systems has recently experienced a wave of senior executive departures, including President Sumit Rana and AI R&D head Seth Hain, among others. This series of personnel changes has sparked industry attention on the company's future strategy and competition in the healthcare technology talent market.
A joint survey by the American Medical Association (AMA) and Medscape shows that 97% of physicians at least occasionally review patient wearable device data, but fewer than 6% integrate it into clinical workflows. The lack of payment pathways, insufficient electronic health record integration, and concerns about legal liability and reliability are key barriers.
Researchers developed ALADYNOULLI, a Bayesian generative framework that jointly analyzes longitudinal electronic health records, age, and polygenic risk, identifying 21 reproducible disease features and improving disease prediction performance.
A study by the American Medical Association shows that most doctors believe data from consumer wearable devices (such as smartwatches) have clinical value, but issues such as accuracy, liability, and data integration still hinder their widespread adoption.
A comprehensive analysis of AI in healthcare adoption statistics for 2025-2026, covering market size, ROI, FDA clearances, and the widening gap between administrative and clinical diagnostic use.
Although smartwatch health data is becoming increasingly abundant, according to the latest survey by the American Medical Association (AMA), only 6% of doctors integrate it into their clinical workflow. Insurance reimbursement barriers, doubts about data authenticity, and difficulties in integrating with electronic health records are the main bottlenecks.
Medical interoperability enables healthcare professionals to instantly access patients' complete medical histories through data sharing, avoiding duplicate tests and improving diagnostic efficiency and patient experience.
In recent HIMSS TV discussions, doctors at Samsung Medical Center emphasized that if healthcare systems position infrastructure modernization as an effort to improve the clinical experience rather than as a mere IT project, they are more likely to gain physician support and drive the adoption of new technologies. This approach is reshaping the procurement logic for Digital Health, Healthcare Technology, and AI Healthcare.
ContrastConnect has released a best practices guide for remote imaging scheduling and EMR integration, reflecting the ongoing needs of healthcare institutions in imaging workflows, interoperability, and compliance automation, and also showing that Digital Health and AI Healthcare infrastructure are penetrating deeper into clinical operations.
Deloitte's latest research shows that diagnostic manufacturers are shifting from traditional product suppliers to a B2B2C model, with AI, EHR workflow integration, and interoperability becoming key to the next stage of growth.
Latest industry discussions around Telemedicine, virtual care, and medical collaboration analyze why telemedicine is shifting from a point-of-care consultation tool to cross-institution collaborative infrastructure, and what this means for Digital Health, AI Healthcare, and the restructuring of healthcare institution workflows.
A lawsuit in Illinois, USA, over a patient data breach shows that even when healthcare institutions outsource their systems to vendors, they still cannot avoid their core responsibility for data security. The case sends a clearer industry signal regarding compliance governance for Digital Health, AI Healthcare, and Healthcare Technology.