A multi-location chiropractic practice seeking to reduce documentation burden and increase patient care time.
Chiropractors spend significant time at the end of each patient visit manually writing detailed discharge summaries. This documentation is essential for insurance claims, legal compliance, and continuity of care, but it pulls practitioners away from patient care and leads to documentation backlogs. The manual process is time-consuming, often inconsistent in quality, and can result in incomplete records.
Built secure integrations with existing chiropractic practice management systems to automatically extract patient information, treatment records, vital signs, and assessment data. The system handles multiple data formats and EMR systems while maintaining HIPAA compliance.
Implemented advanced language models trained on medical documentation standards and chiropractic terminology. The AI system transforms structured clinical data into coherent, professional narrative summaries that include patient presentation, treatment administered, patient response, and discharge recommendations.
Created a review and approval workflow that allows practitioners to review, edit, and approve AI-generated summaries. The system learns from practitioner edits to improve future outputs, creating a personalized documentation style for each practice.
The AI-powered discharge summary system has transformed documentation workflows across the practice. What previously took 2-3 weeks to compile and deliver to attorneys now takes minutes, dramatically improving client satisfaction and referral rates. Chiropractors save an average of 12 minutes per patient visit on documentation, allowing them to see more patients or spend more quality time with each patient. The faster turnaround times and reduced manual processing costs save approximately $75,000 annually while strengthening relationships with referring attorneys who send more clients due to the rapid, professional documentation.
Private cloud deployment of GPT-4 for HIPAA-compliant generation of medically accurate, coherent narrative discharge summaries
Proprietary data extraction pipeline that structures clinical information from various medical document formats into standardized sections including treatment notes, diagnoses by anatomical region, procedures, and chronological event timelines
Backend framework for handling secure data processing and API integrations
Frontend framework providing an intuitive, responsive user interface for practitioners
