DHS Clinical AI

A clinical AI assistant for African healthcare.

DHS Clinical AI is a clinical assistant DHS builds in-house and trains on African healthcare data with university partners. It answers patient questions, supports clinicians during consultations, and reads the patient record to ground its responses in that patient's history, conditions, allergies, and medications. It runs inside the DHS platform and connects to existing systems.

Trained on African healthcare data Reads the patient record Under clinician control

DHS Clinical AI

Patient assistant

AI
Fever and chills for 3 days, with a headache.
Have you been in a malaria area recently?
Yes, last week.
Malaria is a likely cause. Get a malaria test today. A clinician confirms before treatment.
Book a callbackFind a clinic
Reads the patient recordClinician confirms
African context

Trained on African healthcare data.

Most medical AI learns from Western health systems, where the common conditions, the available medicines, and the way patients reach care differ from African settings. DHS Clinical AI learns from African healthcare data, so its guidance matches local disease patterns, national treatment guidelines, and the medicines clinics stock.

Same question Adult, fever and chills, recently in a malaria area
General-purpose assistant

"Fever and chills are often viral. Rest, drink fluids, and take paracetamol. See a doctor if it lasts more than a week."

Assumes low malaria risk and easy access to care

DHS Clinical AI CONTEXT-AWARE

"In this region malaria is a common cause of fever. Get a malaria test today and see a clinician. If the test is positive, the national first-line treatment applies. The clinician confirms before treatment."

Uses local disease patterns, medicines, and access

Illustrative example. The clinician makes the diagnosis and decides treatment.

Two sides

Patients and clinicians, one model.

DHS Clinical AI answers patient questions and supports clinicians during a consultation. Switch between the two views.

Patient assistant

A first conversation in plain language.

Patients describe how they feel over WhatsApp, USSD, web, or app. DHS Clinical AI asks the relevant follow-up questions for the setting, gives clear guidance, and routes the patient to care. The clinician handles diagnosis and treatment.

  • Understands everyday language in English and major regional languages
  • Guides patients toward testing and a clinic visit
  • Hands off to a callback or the clinic queue

DHS Clinical AI

Antenatal support · WhatsApp

I'm 6 months pregnant and my feet are swollen. Is it serious?
Some swelling is common. Do you have a headache or any change in your vision?
A slight headache since this morning.
Visit your clinic today to check your blood pressure. I can book an antenatal callback now.
Book antenatal callback
Diagnosis stays with the clinicianRoutes to care
Patient record

Answers grounded in the patient record.

DHS Clinical AI reads the patient record, so its guidance reflects the patient's history, conditions, allergies, and current medications. The same question gives a different answer for a different patient, and the clinician sees what the model used.

From the record

  • Allergies Penicillin
  • Conditions Pregnant, 2nd trimester
  • Current meds Insulin
  • Age 29

How the answer changes

  • Flags the penicillin allergy
  • Prefers pregnancy-safe options
  • Accounts for current insulin use
  • Notes follow-ups for the care team
Capabilities

What DHS Clinical AI does.

DHS Clinical AI is one model used across the care pathway, from a patient's first message to the clinician's consultation and the records afterward. Each use is configured per deployment and can be turned on or off.

  • Patient conversation

    Answers patient questions over WhatsApp, USSD, web, or app, in English and major regional languages. It guides patients toward testing and a clinic visit.

  • Clinician decision support

    Answers a clinician's questions during a consultation using the patient record. The clinician makes the decision.

  • Triage and classification

    Reads an inbound message and assigns a priority and a category, so urgent cases reach a clinician sooner.

  • Summaries and notes

    Drafts a structured summary of a case or visit in the clinician's working language for review.

  • Document understanding

    Reads referral letters, lab reports, and scanned notes, then extracts the structured details for the record.

  • Tuned to your protocols

    Adapts to a provider's guidelines, formulary, and referral pathways. DHS develops the model continuously and tunes it per deployment.

Integration

Built into the DHS platform, connected to your systems.

DHS Clinical AI ships inside the DHS platform and connects to the patient record, the patient channels, and other systems a provider runs.

DHS Clinical AI
  • Patient record / FHIR

    Reads history, conditions, allergies, and medications

    LINKED
  • DHS platform / HMIS

    Ships inside the DHS hospital and clinic platform

    LINKED
  • WhatsApp and USSD

    Reaches patients on the channels they use

    LINKED
  • Web and mobile app

    Embeds in a patient portal, web chat, or clinic app

    LINKED
  • Lab and pharmacy

    Reads results and medicines from the system

    LINKED
  • Third-party EMRs

    Connects to systems a provider already runs

    LINKED

Related: Digital healthcare platforms, Patient access and callback, and AI-supported workflows.

Responsibility

How DHS keeps it under control.

DHS Clinical AI is built to stay safe in clinical settings. Four points hold across every deployment.

Built for African care

DHS trains the model on African healthcare data with university partners. Its guidance covers local disease patterns, the medicines clinics stock, and the ways patients reach care.

Under clinician control

DHS Clinical AI supports decisions. The clinician makes the diagnosis, decides treatment, and reviews each output before it reaches a patient or the record.

Private by design

It runs on EU and GDPR-aligned infrastructure. Patient data stays inside the provider's control, and every output is logged with input, model, and reviewer.

Continuously developed

DHS improves the model over time and tunes it to each provider's protocols, guidelines, and referral pathways.

DHSAFRICA
Start a project

Talk to DHS about Clinical AI.

Tell us your setting and where AI support would help, inside the DHS platform or connected to the systems you already run. A short note is enough to start.

About a minute · No commitment