Ensuring a Successful Epic Go-Live with Real-Time Training Dashboards & Personalization
Why It Matters
Real‑time personalization dashboards turn training into a measurable, adaptive process, reducing go‑live risk and boosting clinician confidence, which translates into better care delivery and financial returns.
Key Takeaways
- •Personalization labs targeted to achieve 90% provider readiness pre‑go‑live.
- •Workflow‑based training ensured relevance to clinicians’ daily tasks.
- •Real‑time dashboards tracked sign‑ups, technical issues, and readiness scores.
- •Post‑go‑live surveys raised confidence scores from 7.1 to 8.8.
- •Collaboration with Remedy enabled rapid issue resolution and data‑driven decisions.
Summary
Care New England’s recent Epic go‑live was anchored in a three‑phase strategy—pre‑go‑live personalization, live‑day support, and post‑go‑live optimization. The organization set an ambitious target: 90% of providers personalized before launch, leveraging expert‑led labs and workflow‑based training to make the experience relevant to each specialty. By integrating real‑time dashboards, leadership could monitor sign‑up rates, technical hiccups, and a readiness score that rose from 7.1 to 8.8 after personalization sessions.
Key insights include the use of Epic’s customization capabilities, mandatory personalization sessions for all clinicians, and a systematic workflow methodology that walks physicians through admission orders, note templates, and order sets. Remedy Health Solutions supplied the technology platform for scheduling, documentation, and post‑session surveys, ensuring data consistency with Epic’s Signal metrics. The dashboards provided instant visibility for the board, enabling swift pivots when providers faced email mismatches or technical failures.
Notable examples illustrate the program’s impact: Care New England achieved a 99% personalization credit, and the readiness survey showed an 1.7‑point confidence boost. Real‑time data allowed the team to identify and re‑engage providers who missed sessions, while the post‑go‑live optimization phase refined workflows based on live feedback. The partnership with Remedy facilitated rapid issue resolution and a clean, user‑friendly reporting interface that satisfied both clinicians and executives.
The approach underscores how data‑driven training and personalization can de‑risk large EHR implementations, accelerate clinician adoption, and ultimately improve operational efficiency and patient outcomes. Health systems facing similar transitions can replicate this model to achieve higher satisfaction scores and protect their substantial investment in Epic.
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