Healthcare TechCase Study

    Behavioral Health EMR

    ChartAssist, a HIPAA-compliant behavioral health EMR built around clinician workflows across eight medical disciplines.

    Clinician productivity up 40%, satisfaction up 20%
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    Client context

    Behavioral health practices work under HIPAA with charting requirements distinct from general medical EMRs, spanning multiple clinical disciplines and facilities that all need to share one consistent record.

    Problem

    Behavioral health clinicians were spending excessive time on documentation, and practices needed a HIPAA-compliant records system that fit the way clinicians actually work.

    Approach

    We designed and built ChartAssist, a HIPAA-compliant EMR with streamlined documentation and scheduling, built around clinician workflows across eight medical disciplines.

    Outcome

    Deployed across five facilities in three states, supporting hundreds of clinical users across eight medical disciplines, raising clinician productivity 40% and satisfaction 20%.

    What made it hard

    Behavioral health documentation spans eight medical disciplines with different clinical vocabularies and workflows, all under HIPAA, across five facilities in three states that needed one consistent record. The system also had to hold clinician trust: a records platform that slows a clinician down gets worked around, and a worked-around EMR is a compliance risk, not a tool.

    The build decision

    ChartAssist was built on a deliberately traditional, pre-AI foundation: Linux, PostgreSQL, and PHP, chosen for durability over novelty, with Node and React arriving as the platform modernized across its long production run. A team of ten engineers built and operated it, and the boring-on-purpose stack is a large part of why a system designed in the 2000s could keep serving five facilities for years without a rewrite.

    Key results

    • HIPAA-compliant records and notes
    • One consistent record across five facilities in three states
    • Workflows tailored to eight medical disciplines

    Technology stack

    LinuxPostgreSQLPHPNode.jsReact

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