Health IT / EHR News Highlights
Datavant to Acquire DigitalOwl to Expand AI-Driven Health Record Retrieval & Analysis
Datavant announced plans to buy DigitalOwl, an AI platform used by insurers and legal teams to structure and summarize health records—extending Datavant’s footprint across retrieval, normalization, and analytics for claims and underwriting workflows. Fierce Healthcare
Middle East Healthcare IT Outlook Highlights Rapid EHR, CDS, and Telehealth Adoption
A new regional analysis points to accelerated investment in EHRs, clinical decision support, telehealth, and IoT across the Middle East, driven by government-led modernization and integrated care initiatives—signaling continued global demand for interoperable platforms. GlobeNewswire
Fuse Oncology Demos Live Clinical AI with GE HealthCare at ASTRO
Fuse Oncology showcased vendor-agnostic AI for radiation oncology workflows, emphasizing interoperability with imaging and treatment systems; GE HealthCare’s booth presence underscores growing ecosystem collaboration in oncology IT. PR Newswire
ASCP Launches Advanced Analytics & Benchmarking Platform for Labs
The American Society for Clinical Pathology introduced a data platform to convert laboratory metrics into actionable insights, aiming to cut turnaround variability and benchmark performance—an analytics layer that complements EHR/LIS data for quality improvement. PR Newswire
Why It Matters
- Interoperability is becoming a business model: Datavant’s move consolidates record retrieval, structuring, and analytics—good for speed, but CIOs should probe vendor lock-in, data rights, and auditability across the end-to-end pipeline.
- Global demand validates your roadmap: The Middle East IT outlook mirrors U.S. priorities—EHRs, CDS, telehealth, IoT—suggesting vendors will prioritize interoperable, cloud-first deployments. Expect tighter timelines and more mature API expectations.
- Oncology IT is a proving ground for AI: Fuse + GE HealthCare signals that real-world, multi-vendor AI workflows are arriving. Success will hinge on image/plan data quality, latency, and safety guardrails integrated with the EHR and oncology systems.
- Labs need analytics that ride alongside the EHR: ASCP’s platform highlights a broader trend: specialized analytics layers are filling gaps EHRs/LISs don’t natively cover. Ensure data governance, benchmarking definitions, and source-of-truth alignment.
- Procurement & governance must keep up: As AI and data brokers plug deeper into clinical and operational flows, revisit BAAs, data-use agreements, bias monitoring, model update policies, and rollback plans before scaling.
