"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 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.
DHS Clinical AI
Patient assistant
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.
"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
"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.
DHS Clinical AI answers patient questions and supports clinicians during a consultation. Switch between the two views.
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.
DHS Clinical AI
Antenatal support · WhatsApp
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
How the answer changes
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.
Answers patient questions over WhatsApp, USSD, web, or app, in English and major regional languages. It guides patients toward testing and a clinic visit.
Answers a clinician's questions during a consultation using the patient record. The clinician makes the decision.
Reads an inbound message and assigns a priority and a category, so urgent cases reach a clinician sooner.
Drafts a structured summary of a case or visit in the clinician's working language for review.
Reads referral letters, lab reports, and scanned notes, then extracts the structured details for the record.
Adapts to a provider's guidelines, formulary, and referral pathways. DHS develops the model continuously and tunes it per deployment.
DHS Clinical AI ships inside the DHS platform and connects to the patient record, the patient channels, and other systems a provider runs.
Reads history, conditions, allergies, and medications
Ships inside the DHS hospital and clinic platform
Reaches patients on the channels they use
Embeds in a patient portal, web chat, or clinic app
Reads results and medicines from the system
Connects to systems a provider already runs
Related: Digital healthcare platforms, Patient access and callback, and AI-supported workflows.
DHS Clinical AI is built to stay safe in clinical settings. Four points hold across every deployment.
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.
DHS Clinical AI supports decisions. The clinician makes the diagnosis, decides treatment, and reviews each output before it reaches a patient or the record.
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.
DHS improves the model over time and tunes it to each provider's protocols, guidelines, and referral pathways.
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