Predoc is an AI-powered healthcare data provider, which acts as an invisible operational layer to deliver complete medical records and curated, usable patient data serving as a foundation for clinical intelligence.…
Predoc is an AI-powered healthcare data provider, which acts as an invisible operational layer to deliver complete medical records and curated, usable patient data serving as a foundation for clinical intelligence.
Founded by practicing physicians who built it to solve a problem they had lived inside their own clinics, Predoc is the infrastructure layer that sits underneath any modern care or research workflow that depends on outside records. It is the plumbing — the connective tissue between every fragmented source of patient data in the US (digital exchanges, fax lines, scanned PDFs, pharmacy networks, imaging archives, off-network providers.
Primary focus
Service areas
RHTP priority alignment
Care settings
Problems addressed
Transitions of care & care coordination: Every rural referral today is bottlenecked by a chart that has not arrived. Predoc delivers a complete, indexed, source-cited record to the receiving clinician before the patient walks in — compressing referral-to-appointment lead time, reducing duplicate testing, and making downstream specialty visits actually productive. The Predoc workflow has doubled new-patient lead time at scale; the same model applies to any rural specialty referral.
Telehealth/Virtual Specialty Care/Second Opinion Enablement: A rural telehealth visit is only as useful as the records that arrived before it. Predoc is the underlay that lets a remote specialist arrive at the visit already informed — the difference between a $200 telehealth consult that defers diagnosis and one that closes the loop. Telehealth dollars without complete records pay for unproductive visits.
HIE enhancement & data infrastructure: Multiple state plans explicitly fund modernization of their state HIE or build of new technology layers. The structural truth every state is bumping into: a state HIE alone cannot deliver complete or structured records, because it can only return what its connected providers contributed. Predoc augments the HIE — querying it alongside Carequality, CommonWell, eHealth Exchange, Surescripts, and adding direct provider outreach for everything still missing. Finally, Predoc delivers back a curated, actionable, structured data layer that fuels care delivery and coordination as well as downstream value-based or population health analytics. The state’s existing investment becomes more valuable, not less.
Timeline
Less than 30 days
Training
Yes
Ongoing Support
Yes
Grant Reporting
Yes
Site requirements
Detailed rollout plan
Federal-grade pedigree. Predoc is HIPAA-compliant, SOC 2 Type II certified, and FDA 21 CFR Part 11 compliant. Recognized by CMS itself as a “Friend of the Health Tech Ecosystem.”
Predoc can stand up a pilot inside a single rural health system, FQHC network, or state HIE region in 24–48 hours on the web app, with a production API integration in 2–4 weeks. Within 90 days a state can measure: hours of administrative time returned to clinical staff, referral-to-visit
lead time reduction, and gap-closure rate improvement. That is the evidence shape an RHTP
Reporting metrics supported
The Oncology Institute deployment is saving ~$2M annually; Science 37 reduced a screening team by ~70%; NYCBS improved patient access by 30%
Ideal customers
Compliance documentation available
Expected outcomes / measurable benefits
Most RHTP capability buys promise outcomes 18–24 months out. Predoc reduces an existing administrative cost line — the manual records team — from week one. The Oncology
Institute deployment is saving ~$2M annually; Science 37 reduced a screening team by ~70%; NYCBS improved patient access by 30%. For a state implementation office under pressure to show Year-1 results to CMS, that is a rare combination: hard cost savings plus measurable clinical-workflow improvement on the same rollout.
Published outcomes / metrics
The Oncology Institute deployment is saving ~$2M annually; Science 37 reduced a screening team by ~70%; NYCBS improved patient access by 30%.
Rural health experience detail
Rural oncology clinics, decentralized clinical trials, primary and specialty telehealth and second opinions