20+ Years of Clinical Expertise, Re-engineered for Health-Tech
I'm a Doctor of Chiropractic with 20+ years of frontline clinical experience and a systems-and-technology mindset. I've lived the workflows, EHR friction, and documentation burden that health-tech products set out to solve — as a high-volume provider, an internal software power-user and trainer, and someone who independently prototyped a local ambient-AI charting workflow that cut post-visit documentation to under two minutes.
I'm now focused on bringing that insider perspective to a health-tech team full-time, in customer success, implementation, or clinical operations, helping products actually get adopted by the providers they're built for. The case studies below show how I approach clinical workflows and technology.
I'm a Doctor of Chiropractic (licensed in Virginia since 2002), founder of my own practice for over a decade (2003–2016), high-volume clinician, internal EHR power-user/trainer, and I completed Regent University's Level I Career Switcher teacher-preparation program in 2018.
Open to full-time roles in Customer Success, Implementation, and Clinical Operations.
Connect on LinkedInCore Tech & Clinical Capabilities
Clinical Workflow Optimization
Designing frictionless UI/UX triggers for clinicians, including push-button ambient capture, macro-based EHR templates, and relational databases for longitudinal patient tracking.
AI Data Mapping & Logic Validation
Training and auditing natural language processing (NLP) models to accurately map unstructured patient-doctor dialogue directly to structured, audit-proof ICD-10 and CPT coding.
Regulatory & Operational Vetting
Bridging the gap between rapid software innovation and the strict, real-world constraints of HIPAA data isolation, BAA compliance, and revenue cycle management.
Case Studies: Clinical Workflow & Technology
Case Study 1: The Ambient Capture Pilot
Turning Unstructured Room Audio into Structured, Review-Ready SOAP Notes
The Bottleneck: Chiropractors document in a high-volume, fast-turn environment — 30+ patient visits per day, with no resident or scribe, and an EHR that demands structured, billable-grade notes for every encounter. The gap between what a clinician says in the room and what a compliant SOAP note requires is enormous. Raw dictation is verbose, non-linear, and rarely maps cleanly to the Subjective / Objective / Assessment / Plan structure that payers and auditors expect.
What I Did: I independently prototyped a local ambient-AI charting workflow using Whisper for transcription and Ollama to run a local large language model. I engineered a prompt constraint system using these open-source tools to bridge the gap. Rather than accepting free-form transcription, I designed structured input templates that guided the AI to extract and organize specific clinical data points — chief complaint, mechanism, pain quality, functional limitation, objective findings, diagnosis, and plan — into a standardized SOAP format with ICD-10 suggestions embedded at the output stage. The constraints weren't just formatting rules; they were clinical logic gates that prompted the model to flag missing information rather than generate it.
The Result: Documentation time per visit dropped significantly (post-visit documentation cut to under two minutes). More importantly, the notes produced were structured and review-ready: each section mapped directly to the clinical encounter, and the output could be reviewed, signed, and submitted without material editing. The same framework is now replicable across chiropractic or musculoskeletal practices.
Case Study 2: The Longitudinal Tracking Trigger
Eliminating Follow-Up Documentation Friction with Push-Button Workflows
The Bottleneck: Follow-up documentation in chiropractic care is repetitive by design — progress notes, re-examination triggers, and care plan updates recur on a predictable schedule. But in practice, they pile up, fall behind, or get written from memory at end-of-day. The result is notes that are late, vague, or disconnected from the visit they're documenting — creating audit exposure and billing delays.
What I Did: I conceptualized and implemented a push-button workflow system inside ChiroSpring 360 using its macro and dialog toolset. Each recurring note type — daily SOAP, progress exam, care plan update, re-examination — was mapped to a pre-structured macro that presented the clinician with decision-point dialogs: a single click per variable rather than free-text entry. The system was designed around how documentation actually happens in real time (mid-visit or immediately post-visit), not how it's supposed to happen in an ideal workflow.
The Result: Follow-up notes that previously required 5–10 minutes of after-hours charting were reduced to in-visit documentation completed in under 2 minutes. Care plan compliance documentation became consistent and complete, supporting cleaner, more consistent documentation.