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Acquired

Data and Scheduling Solutions for a Multi-State Rehab Network

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About the Client

Background

The client is a multi-state network of post-acute rehabilitation and therapeutic care centers running MEDITECH as their core EMR.

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Overview

A multi-state rehab network runs specialized therapy workflows across multiple states. No off-the-shelf EHR fully supports how their clinicians work. Invene engaged twice, each time focused on the same underlying problem: clinical operations that standard tools were not built to handle. The first engagement was investigative. The second was a design and build. Together, they gave the network both a strategic roadmap and a working product.

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Challenge

The multi-state rehab network needed a way to support alternate interfaces for clinical data entry without compromising MEDITECH as the auditable source of truth. Their scheduling needs were equally complex, requiring coordination of patients across therapy types each day at scale. Standard EHR scheduling features could not accommodate that level of variability. The network also needed to launch an MVP without overcorrecting, preserving what worked and deferring nonessential improvements until after initial staff adoption.

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Unique stakeholders interviewed across both the integration and schedule projects

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Integration pathways included in the meditech integration report

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Data sources considered for automation at different levels of fidelity (from conceptual mapping to actual development)

Solution

Invene started with a technical investigation. The team interviewed leadership, data analysts, and MEDITECH custodians to map clinician workflows and understand how data moved through the system, from entry to reporting. That engagement concluded with a formal opportunities report outlining the pros and cons of several technical interventions. The front-runner was an RPA agent that would pull data from the alternate clinical entry interface and write it directly into MEDITECH.

Immediately following, Invene moved into a hands-on engagement to design and build a custom scheduling feature inside the network’s Ancillary EHR platform. The process included leadership, analyst, and clinician interviews, workflow mapping, product blueprinting, and full design and development through to an MVP-ready build.

Results

The multi-state rehab network came away with a structured opportunities report that gave leadership a clear path forward on data entry, including a technically validated front-runner solution. They also launched with a scheduling workflow built to match how clinical staff actually coordinate patient care, along with a defined roadmap for evolving the experience after initial adoption.

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