AI Clinical Decision Support

A real-time co-pilot for nurses and health workers. Built around your national guidelines, designed for low-resource health systems.

Clinical decision support system
Want to support clinical decision-making at scale?

Overview

Frontline health workers make critical clinical decisions every day, often without access to senior clinicians or current guidance. Our AI Clinical Decision Support platform walks staff through assessments using your national clinical pathways, prompts relevant questions, flags warning signs, and suggests evidence-based next steps. It also documents consult notes, treatment plans, and referral letters automatically.

The system integrates into your existing telemedicine platform or EHR. In settings where doctors are scarce, it extends specialist knowledge to frontline staff without replacing them. Nurses and health officers can manage more complex cases confidently, backed by protocol-based reasoning.

Key Capabilities

Guidance that fits into the consultation workflow

Guided Assessments

Guided Assessments

The AI walks health workers through each consultation with questions that adapt based on the patient's responses. Even junior staff can conduct thorough evaluations that follow national guidelines.

Questions change based on each answer, ensuring critical symptoms are not missed. The system follows clinical pathways while feeling conversational.

Every assessment follows your national guidelines: IMNCI for child illness, antenatal care protocols, chronic disease management, and more.

Junior staff see detailed prompts and explanations. Experienced clinicians can move faster. The system adapts to the user.
Alerts & Advice

Alerts & Advice

As information is entered, the system flags high-risk findings and suggests next steps. Health workers get real-time guidance to make safer decisions.

Danger signs in children, obstetric emergencies, symptoms requiring urgent referral. The system is designed to catch serious cases early.

Every recommendation cites its source in your clinical guidelines. Staff see what to do and why.

The AI indicates when a case may need senior review, helping staff know when to act independently and when to escalate.
Automatic Documentation

Automatic Documentation

Consultation notes, treatment plans, and referral letters are generated automatically. Staff review and approve rather than writing from scratch.

The system drafts clinical notes as the consultation progresses. Less time on paperwork, more time with patients.

Notes include coded diagnoses, standardised treatment descriptions, and the data fields your HMIS needs.

Every note is timestamped and linked to the case for compliance, quality review, and continuity of care.

Example Workflow

How the AI supports a nurse through a typical consultation

Walkthrough available on request

Contact us to see a live demonstration

The Technology

How the AI retrieves and applies your clinical guidelines in real time

1Retrieval Augmented Generation (RAG)

Unlike rigid decision trees, RAG pulls relevant guidance from your uploaded protocols in real time. The AI can handle atypical presentations and complex cases flexibly, while staying grounded in vetted clinical sources.

2Context-Aware Reasoning

The AI considers patient age, history, and facility capabilities when generating guidance. This goes beyond one-size-fits-all checklists, with advice tailored to each situation.

3Easy to Update

When clinical guidelines change, the knowledge base can be refreshed immediately. No software overhaul required. The system evolves alongside your protocols.

4Full Audit Trail

Every interaction is logged: questions asked, suggestions made, clinician decisions, and guideline sources cited. Supervisors can review cases and identify where protocols or staff may need adjustment.

AI suggests. Clinicians decide.

How We Build It

A three-step process to ensure safe, locally appropriate AI-assisted care

Start with Your Guidelines

Start with Your Guidelines

We begin by loading your national clinical guidelines into the system. Every recommendation the AI makes traces back to these established protocols. It retrieves and applies your guidelines, it does not improvise.

We configure the system with your country's clinical guidelines, formulary, and care pathways. Recommendations reflect what your Ministry of Health endorses.

Where local protocols build on WHO standards (IMCI, IMNCI, essential medicines), those validated frameworks provide the clinical foundation.

Disease prevalence, seasonal patterns, and regional priorities are factored in. A cough in a malaria-endemic area gets different consideration than the same symptom elsewhere.

Local medical experts review the knowledge base before launch and continue refining through accuracy checks.
Adapt for Your Context

Adapt for Your Context

Next, we translate and adapt the system for your languages and clinical workflows. Medical terminology is precise, and precision matters even more in translation. We ensure everything works in the languages your providers and patients use.

The platform operates in the languages your providers and patients use: French, Swahili, Kinyarwanda, and more.

Native speakers with healthcare backgrounds translate content. Local clinicians verify terminology and urgency levels to ensure clinical accuracy.

Real users test the system before launch. We check for comprehension, workflow fit, and usability to catch anything that feels unnatural.
Review and Approve

Review and Approve

Finally, we ensure every recommendation goes through human review. The AI suggests, clinicians decide. Nothing happens automatically without a clinician's approval.

Clinicians can accept, modify, or override AI recommendations. The system supports judgment, not replaces it.

The AI cites the guideline behind each suggestion. Clinicians see what to do and why, so they can make informed decisions.

Supervisors review interactions, track guideline adherence, and identify areas for improvement. The system gets better over time.

What You Get

A complete decision support offering, not just software:

  • Your clinical pathways digitised (IMNCI, antenatal care, chronic disease management, etc.)
  • Hosted decision support module integrated with your existing systems
  • Staff training and rollout support
  • Monitoring dashboard and audit reporting
  • Ongoing updates as your protocols evolve

Get in touch to discuss how this fits your facilities.

Ready to support your frontline health workers?

Our AI decision support gives nurses and health officers a second opinion during consultations, prompting key questions, catching red flags, and documenting notes. All grounded in your clinical protocols.