Last mentioned: Mar 16, 2026
Black Book 2026 Report
Release of the comprehensive market analysis highlighting the shift toward AI and cloud integration.
HIMSS26 Main Stage
The full conference exhibition opens with AI-integrated EHRs taking center stage.
Preconference Keynotes
Industry leaders discuss the shift from experimental AI to scalable clinical tools.
AI Forum Kickoff
Specialized sessions on LLM governance and ethical AI deployment begin.
Digital Maturity Deadline
Target date for all NHS Trusts to achieve a baseline level of digital capability.
Regional Procurement Peak
Major regional EPR tenders awarded in London and the Midlands, favoring integrated platforms.
Frontline Digitisation Launch
NHS England initiates the formal program to ensure all Trusts have an Electronic Patient Record (EPR).
Black Book Research's 2026 report highlights a critical shift in the UK's acute care EHR landscape, driven by the final stages of NHS Frontline Digitisation. The findings underscore a growing preference for integrated platforms and clinical AI as Trusts move beyond basic digitization toward advanced data utilization.
The HIMSS26 preconference events have established Artificial Intelligence as the primary driver of healthcare innovation, focusing on moving beyond pilot programs to enterprise-scale deployment. Key discussions centered on AI governance, the integration of generative models into clinical workflows, and the evolving regulatory landscape for health technology.
Healthcare organizations are accelerating the transition to passwordless authentication to combat rising phishing attacks and reduce clinician burnout. While the security benefits are clear, legacy infrastructure and the complexities of shared clinical workstations remain significant implementation barriers.
Oracle Health has launched a new medical device validation program designed to streamline the integration of bedside and remote monitoring technologies with its electronic health record platform. The initiative aims to reduce technical barriers for manufacturers while automating data flow to decrease clinician burnout and improve patient safety.
This page surfaces every story mentioning Epic Systems across our healthcare coverage. We track each entity's appearance over time so readers can trace how the narrative evolves — which developments are isolated incidents, which build into longer arcs, and which reframe how operators in the space think about the entity. Story selection uses the same multi-source verification gate applied across the rest of our coverage.
Read our editorial methodology for how we identify, deduplicate, and score entity references. Our glossary defines the technical terms used across stories on this page, and our trends index contextualizes individual developments against the longer-running healthcare beat. Cross-entity comparisons live on our compare view.
| What you see | What it tells you |
|---|---|
| Story count | Number of distinct stories where Epic Systems was a primary or referenced actor. |
| Recency clustering | Whether mentions are concentrated in a recent window (a news cycle) or distributed (a sustained arc). |
| Sentiment distribution | Aggregate sentiment of the stories mentioning this entity, weighted by impact score. |
| Cross-niche links | When the same entity surfaces in our sibling networks, we link to those views to enrich context. |