Built for the teams that already work with the data.
Prompt Opinion runs on the patient records you already have. Different teams start in different places; all of them work from the same patient record.
01
Health systems and clinics
CMIO and informatics · Care teams · Referral and access operations · Utilization management
- The challenge
- Every AI vendor arrives with its own integration and its own partial view of the patient. Outside records land as faxes. Prior auth is assembled by phone tree.
- What you get
- One coded record that every workflow shares. Referrals coded on arrival, prior auth drafted and cited, signals routed to the right person for review. Your EHR stays where it is.
Prompt Opinion · Review queue
Prepared for review3 drafts
Biopsy prior authDrafted from the chart · 4 facts citedSend for review
Follow-up CT recallFrom an outside report · page 4Draft
Referral coded on arrival31 pages · 6 new factsDraft
Prompt Opinion · Review queue
Prepared for review3 drafts
Biopsy prior authDrafted from the chart · 4 facts citedSend for review
Follow-up CT recallFrom an outside report · page 4Draft
Referral coded on arrival31 pages · 6 new factsDraft
02
Academic medical centers and research
Research operations · Principal investigators · Clinical research coordinators · Registry teams
- The challenge
- Eligible patients are in the EHR and cannot be found. Coordinators screen charts by hand, registries are abstracted by hand, and enrollment timelines slip for a data reason.
- What you get
- Every patient screened against every open protocol on a record that reads the notes. Registries populated from coded facts. Cohorts in plain language, with unknowns flagged.
Prompt Opinion · Trial screening
Stage II NSCLC · 22 criteria · 3 open sites
Mr. Alvarez · 64MLikely eligible · 6 criteria metReview
Ms. Okafor · 58FEligible · consent pendingConsent
Mr. Chen · 71M11 of 12 criteria met · 1 to confirmConfirm
Prompt Opinion · Trial screening
Stage II NSCLC · 22 criteria · 3 open sites
Mr. Alvarez · 64MLikely eligible · 6 criteria metReview
Ms. Okafor · 58FEligible · consent pendingConsent
Mr. Chen · 71M11 of 12 criteria met · 1 to confirmConfirm
03
Sponsors and life sciences
Clinical operations · Feasibility and site selection · Medical affairs
- The challenge
- Feasibility runs on questionnaires and investigator intuition. Sites get activated on estimates, and 11% enroll no one.
- What you get
- Your protocol matched against real, longitudinal records across a live network of 8,000+ practices, before you commit a site budget. Candidates evidenced before the site opens.
Prompt Opinion · Feasibility
Protocol 14-B · 22 criteria1,240eligible patients across 212 practices
Northside Pulmonology38 eligible
Lakeview Oncology27 eligible
Metro Health, site 40 eligible
Prompt Opinion · Feasibility
Protocol 14-B · 22 criteria1,240eligible patients across 212 practices
Northside Pulmonology38 eligible
Lakeview Oncology27 eligible
Metro Health, site 40 eligible
04
Builders and digital health teams
Innovation teams · Digital health companies · Developers
- The challenge
- Building on raw EHR data means building the extraction, coding and provenance layer first, every time.
- What you get
- A coded, cited record to build on, open standards to connect with, and AI Studio to ship agents to the teams above. Join the hundreds of teams already building on it.
Start withAI StudioCommunity BuildsOpen standards
Prompt Opinion · AI Studio
Flag heart-failure patients with an EF under 40 who are not on a beta blocker
Open standardsFHIRMCPA2ASkills
Same record. Waits for your sign-off.
Prompt Opinion · AI Studio
Flag heart-failure patients with an EF under 40 who are not on a beta blocker
Open standardsFHIRMCPA2ASkills
Same record. Waits for your sign-off.
