One digital shared workflow for doctors, labs, pharmacies, and patients — from test order to result to prescription delivery.
Reduce manual chasing
Up to 80% fewer follow-ups and delays.
Amina Yusuf
Female • 28 years
Test Ordered
Malaria Panel
Order ID
PG-2048
ETA
42 mins
Doctor Order
Malaria test requested
10:24 AM
CompletedAI Routing
Sent to best-fit lab
10:25 AM
CompletedLab Result
Result uploaded
11:05 AM
CompletedAI Draft
Doctor review ready
11:07 AM
In progressPatient Follow-up
Care update delivered
Summary
Malaria parasite detected (P. falciparum). Patient showing fever, chills, and headache.
Recommended Next Steps
Start ACT treatment
Hydration and rest
Follow-up in 48 hours
Care Record
All records saved and synced across care team.
The problem
In many hospitals, a simple test order still leaves the doctor workflow and moves through paper, calls, messages, and memory. Pisgah turns that journey into one shared clinical timeline.
5+
handoffs across one basic diagnostic journey
0
single source of truth when work stays on paper
Every
handoff becomes a timestamped care event in Pisgah
Doctor order
The request begins in notes, chat, or a paper slip.
Patient handoff
The patient carries context between front desk, lab, and pharmacy.
Lab delay
Teams call, message, and chase to know what is ready.
Result gap
Results arrive outside the doctor workflow and can miss follow-up.
No shared record
The care journey is hard to audit or reuse for future context.
Pisgah coordinates the full loop
Doctor order, routing, result, AI draft, patient update, and care record stay in one shared workflow.
How it works
Pisgah keeps each participant focused on their part of the journey while the system holds the whole picture together.
Patient context and requested tests enter a shared workflow immediately.
The right lab, pharmacy, and staff are assigned based on the care path.
Uploads, timestamps, and handoffs are tracked in one place.
Pisgah summarizes the result and next steps for doctor review.
Approved guidance and the care record reach the patient without manual chasing.
African clinical data
Pisgah does more than digitize a hospital queue. Each diagnostic journey becomes structured clinical context from African care settings.
AfriMed-QA reported a measurable performance gap for medical models on African expert questions. Pisgah helps create the data layer future clinical AI needs: real diagnostic paths, local terminology, and doctor-reviewed outcomes.
~10%
reported accuracy drop on African expert medical questions versus USMLE-style benchmarks.
Clinical data layer
Paper records, live handoffs, result interpretation, and doctor approvals become a longitudinal record instead of disappearing after the visit.
Paper records
Live diagnostic journeys
Structured African clinical data
FAQ
Short answers for hospitals evaluating whether Pisgah fits beside existing paper or EMR workflows.
No. EMRs store patient records inside one hospital. Pisgah coordinates the diagnostic journey across doctors, labs, pharmacies, riders, patients, and insurers, and can work alongside EMRs or paper-based clinics.
No. Pisgah AI operates the workflow and generates doctor-review drafts, but the doctor remains responsible for the final clinical decision.
It extracts order details from doctor notes, routes cases to the best-fit lab or pharmacy, tracks handoffs, generates doctor-review drafts, and follows up with patients after review.
Doctors, lab staff, pharmacists, riders, admins, and patients each get the part of the workflow they need.
Medical data stays private and is handled under Nigeria's data protection requirements. Pisgah records the workflow timeline so facilities can see what happened and when.
Current medical AI is mostly trained on non-African data and performs worse on African medical questions. Pisgah creates structured African diagnostic data from real care journeys and digitised paper records.
Onboard your hospital in minutes. No hardware required — just your team and an internet connection.