A Labor and Delivery clinical decision-support platform's predictions depend on clean, continuous clinical data, but manual dual entry between the platform and Epic was introducing errors and consuming time clinical staff didn't have. Mindbowser built a bidirectional Epic integration using SMART on FHIR, HL7, and ADT that eliminates duplicate entry, syncs 300+ clinical data points in real time, and auto-generates shift-handoff documentation.
Talk to UsA Labor and Delivery clinical decision-support platform predicting delivery timing and staffing needs for hospital care teams
Bidirectional Epic integration via SMART on FHIR, HL7, and ADT, plus auto-generated shift-handoff documentation
SMART on FHIR, HL7, ADT, REST API
Listed in Epic's enterprise integration catalog
Automating the data flow between the platform and Epic removed the manual steps that were costing clinical staff time and costing the AI models data quality.
Clinical data points synced in real time between the platform and Epic
Minutes saved per shift handoff through auto-generated SBAR documentation
Extra clicks needed to launch the platform from within Epic Hyperspace
The platform's predictions and staffing forecasts depend on clean, consistent clinical data flowing in continuously. Manual dual entry between the platform and Epic was working against that from the start.
Clinical staff entered demographics, medical history, and clinical data into the platform, then entered the same information into Epic for the official medical record. Every duplicate entry consumed time during a busy L&D shift.
Every manual step was an opportunity for error: mistyped MRNs, inconsistent formats, missing fields. Those errors accumulated in the platform's database and degraded the data the AI models learned from.
Shift handoff happened through conversation. Context got distorted along the way, and the incoming clinician missed details the outgoing one forgot to mention, a real risk in a unit where delivery can progress rapidly.
The platform couldn't see what Epic knew about the patient, and Epic couldn't see the platform's delivery predictions. A physician could make a staffing decision in Epic without knowing the AI had predicted an imminent delivery in another room.
A bidirectional integration layer connecting the platform to Epic in real time, built on industry-standard clinical data protocols.
When a provider opens the platform from within Epic Hyperspace, the SMART on FHIR app launch protocol reads the patient context directly from Epic and pre-populates the platform with that patient's record.
Once a patient is active, over 300 clinical data points sync in real time between the platform and Epic via HL7 and ADT. Predictions and alerts flow back into Epic as the AI runs.
The platform auto-generates structured SBAR documentation, Situation, Background, Assessment, Recommendation, from the live patient record. Outgoing and incoming nurses see the same current, complete information in the same format.
Clinicians receive real-time alerts when the platform detects a significant change, and the integration is now available to any Epic-connected hospital as a procurement item, not a custom engineering project.
Talk to us about SMART on FHIR architecture that feels invisible to clinical staff, not bolted on.
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