Series B HealthTech: AI-Powered Clinical Documentation System
The Challenge
The client's 14 specialty care facilities relied on a patchwork of dictation software, manual transcription, and template-based EHR entry. Clinicians spent an average of 4.2 hours per day on documentation — time that directly reduced patient-facing capacity and contributed to a 34% annual clinician turnover rate.
Previous attempts to modernize had stalled. An 18-month internal initiative produced a prototype that worked in controlled settings but failed when confronted with the variability of real clinical workflows: multiple specialties, inconsistent terminology, varying EHR configurations across facilities, and strict HIPAA compliance requirements.
The PE sponsor needed a production-ready solution within one quarter to support a planned capacity expansion across the portfolio.
12 System Touchpoints Mapped
The Solution
MBC Partners deployed a three-person engineering team that implemented our architecture-first methodology. Rather than starting with model selection, we spent the first two weeks mapping every integration touchpoint: EHR systems (Epic and Athena across different facilities), existing dictation hardware, compliance logging requirements, and clinician workflow patterns.
The resulting system used a multi-agent architecture: a speech-to-text agent handled real-time transcription, a clinical NLP agent extracted structured data (diagnoses, procedures, medications), a validation agent cross-referenced outputs against facility-specific templates and coding requirements, and an integration agent wrote structured data directly into the appropriate EHR fields.
Critically, the system was designed as human-augmentation, not human-replacement. Clinicians reviewed AI-generated documentation with a single-screen approval workflow that highlighted confidence scores and flagged items requiring manual review. This design decision accelerated clinical adoption from a projected 6-month rollout to 3 weeks.
12 System Touchpoints Mapped
Start with a Strategic Assessment
