Landscape review

Plan EHR Integrations in Months, and Help Your Customers Shorten the Wait

This landscape review tells digital health executives how long an EHR integration takes and what shortens the wait. It gives a planning range of six to twelve months from kickoff to first customer live, most of it spent on customer and EHR-vendor steps rather than code. The range is a judgment from public sources, not a measured median.

A working paper: the claims are open to test and the text will change. Write to us for the current draft.

Abstract

Customers of digital health companies ask the same question when an electronic health record (EHR) integration is part of the deal: how long until it works for us? Executives and their staff often answer from the amount of engineering work involved, and public evidence suggests that is the wrong clock. In a 2025 multi-institution study of REDCap-Epic integration, implementation took a median of eight months, ranging from under one month to over four years, even though local EHR-team setup could require only hours of hands-on work. An EHR-integrated decision-support tool took about six months at its first site, while stripped-down prototypes with production authorization omitted were built in under two months. The time goes to access, security and privacy review, customer priorities, vendor-specific steps, and production setup, much of which the customer or the EHR vendor controls.

This paper is written for the executives who set expectations (chief executive, technology, revenue, customer-success, and support leaders) and for the staff who carry the message to customers. It gives a planning range of six to twelve months from kickoff to first customer live; no study measures one median across all digital health products, so the range is this review's judgment from the sources cited. It says what to tell a customer, how to be realistic about what an EHR vendor will and will not do, and what a customer can do to shorten the wait. The evidence behind each point follows, with a timeline model, a vendor-dependency taxonomy, an integration archetype framework, hypotheses to test against a company's own portfolio, and what the public record shows, and does not show, about the effect of integration time on sales cycles and revenue recognition.