Pre-visit chart summaries
AI reviews notes, labs, imaging, pathology, medications, procedures, and external records so providers start visits with the relevant story already assembled.
AI assistant for Gastroenterology providers
AI clinical intelligence for faster GI care.
Patient Foresight Pro analyzes complex patient history, summarizes fragmented EHR records, and surfaces tailored treatment and preventive care signals before, during, and after the visit.
Secure and HIPAA-consciousHL7 and FHIR-orientedDeploying with pilot customer
Pre-visit intelligence
Complex GI history ready in minutes
External records summarized
Radiology, pathology, and labs pulled forward
Medication changes and care gaps highlighted
Physician chatbotWhat changed since the last visit?
New pathology letter draft, lab trend, and preventive care gap are ready for review.
Why now
EHRs are content-rich, but they are not friendly to use.
The Introduction deck calls out a familiar reality for physicians: EHRs contain the data, but finding the pertinent information is slow, fragmented, and cognitively expensive.
0%of physician time can be spent working with EHRs
0Bestimated yearly US productivity loss from EHR burden
Patient Foresight Pro
One AI layer across the highest-friction GI workflows.
PFP is not positioned as another EHR. It is a clinical intelligence layer that makes the existing EHR experience faster, clearer, and more useful for specialty care teams.
Physician chatbot
Providers can ask patient-specific questions and retrieve prior history, procedure context, medication changes, and care gaps without hunting through the chart.
Inhouse and referral intelligence
AI-assisted triage, referral management, external records communication, and inhouse routing help care teams separate urgent clinical work from administrative noise.
Tailored treatment signals
The product vision includes recommendations for tailored treatments, preventive measures, quality indicators, and personalized care pathways.
Pre-visit, during visit, post-visit
A patient workflow vision, not just a summary generator.
01
Before the visit
PFP prepares the chart summary, reviews problems, surfaces external records, and pulls relevant radiology, pathology, labs, and prior clinical notes.
02
During the visit
The physician assistant and chatbot help answer clinical questions, support evidence review, and reduce cognitive switching inside the visit.
03
After the visit
Patient education, pathology letters, compliance reminders, care management, and patient-oriented chatbot workflows extend support beyond the exam room.
Solution roadmap
Built from the deck roadmap, not generic feature filler.
The initial product direction covers workflow streamlining, precision medicine support, and post-visit patient care.
Streamlining clinical workflow
- Pre-work summary
- Physician chatbot
- Pathology letters
- AI-assisted triage
- Inhouse management
- Communication with external records
Precision medicine and assistant
- Quality indicator assessment
- AI-augmented medical assistant
- Personalized and precision medicine
- Semantic search on latest medical literature
Post-visit patient care
- Patient education materials
- Patient compliance and care management
- Patient-oriented chatbots
- Follow-up continuity support
Security and integration
Enterprise expectations from day one.
The PDF positions PFP as secure, HIPAA-conscious, and aligned with industry-leading healthcare interfaces including HL7 and FHIR.
HIPAA-conscious
Designed around healthcare privacy, secure data handling, and clinical access-control expectations.
EHR integration
Built to work with existing EHR environments and industry interfaces including HL7 and FHIR.
Audit-ready workflows
Supports traceable workflows, controlled access, and secure clinical operations for health systems and practices.
Future-ready platform
Roadmap spans revenue cycle, care management, coding audit, scheduling, and patient leakage workflows.
Pilot conversations open
See what PFP could remove from your next clinic day.
Talk with Med Foresight about GI pilot opportunities, EHR integration, clinical workflows, and implementation fit.