AwaDoc
AwaDoc CDST

Use Cases

How hospitals, clinics, pharmacies, HMOs, and health programmes put AwaDoc’s Clinical Decision Support Tool to work.

Use Case 1

The Busy Hospital Consultation

A doctor in a busy outpatient department sees 60 to 80 patients a day. Under that pressure, differentials narrow, guideline lookups get skipped, and documentation gets rushed or deferred to the end of an exhausting shift. The result is missed diagnoses, prescribing errors, and burnt-out clinicians.

Open medical textbook with a stethoscope resting on it

How CDST works here

CDST sits alongside the clinician throughout the entire consultation:

  • As the clinician records the presentation, CDST suggests likely differentials with supporting and opposing evidence, plus the can't-miss conditions to rule out.
  • When treatment is selected, CDST surfaces guideline-based options and flags drug interactions, contraindications, and dosing concerns before the prescription is finalised.
  • The ambient scribe captures the consultation as it happens and drafts the note, so the clinician reviews and signs instead of typing.
  • The completed encounter flows straight into the EMR and the patient's unified record.

What changes

  • Fewer missed diagnoses.Every consultation gets a structured second look without slowing the clinician down.
  • Safer prescribing.Interaction and dosing checks happen before the prescription leaves the room.
  • More patients per shift.Documentation time collapses, so throughput and billable interactions rise.
  • Less burnout.The cognitive heavy lifting moves to the AI. The judgment stays with the clinician.
Notebook and stethoscope beside a laptop on a desk
Use Case 2

The Frontline PHC Worker

In many PHCs, the most senior person on duty is a community health worker or nurse operating with no specialist support for hundreds of kilometres. They face undifferentiated fevers in children, chest pain in adults, and bleeding in pregnancy, and must decide alone: treat here, watch, or refer now.

How CDST works here

CDST gives that frontline worker structured, guideline-grounded support at the point of care:

  • The health worker enters the presentation in plain language that he/she understands.
  • CDST returns a prevalence-aware differential weighted for the local disease burden, with red flags highlighted and triage acuity stated clearly.
  • Next steps are matched to the facility tier, so the tool never recommends a test or drug the PHC does not have.
  • When escalation is needed, CDST supports the referral decision, and the patient's record travels with them through the AwaDoc network.

What changes

  • Safer decisions at the edge of the system.Frontline workers get the reasoning support of a specialist consult, instantly.
  • Earlier escalation of dangerous cases.Red-flag detection catches the emergencies that must not wait.
  • Fewer unnecessary referrals.Patients who can be safely managed locally are managed locally, saving families cost and travel.
  • A stronger PHC mandate.For government partners, every naira invested in primary care works harder with clinical infrastructure behind it.
Use Case 3

The Community Pharmacy Front Line

For millions of Africans, the pharmacy is the first and often only point of contact with the health system. Pharmacists field symptoms all day with no structured way to distinguish a simple complaint from an emergency, and chronic conditions like hypertension and diabetes walk in and out undetected.

Hands reaching for medicine in an organised pharmacy dispenser

How CDST works here

CDST turns the pharmacy counter into a safe first mile of care:

  • The pharmacist enters the patient's complaint, and CDST advises whether it is safe to manage over the counter or needs clinical attention.
  • Screening prompts help detect and enrol likely hypertension and diabetes cases into structured community management.
  • Interaction checks run against everything the customer is already taking before anything is dispensed.
  • Escalations route directly into AwaDoc's telemedicine and referral network, with the encounter recorded in the patient's unified record.

What changes

  • Emergencies stop slipping through.The dangerous presentations get caught and escalated, not sold a painkiller.
  • New revenue lines.Screening, enrolment, and follow-up services turn walk-in traffic into ongoing care relationships.
  • Safer dispensing.Interaction checks protect customers and protect the pharmacy's licence and reputation.
Hands typing on a keyboard with a stethoscope beside the laptop
Use Case 4

The Telemedicine Consultation

Remote consultations compress everything: no physical exam, limited time, and a patient describing symptoms in their own words over chat or a call. Clinicians must reach safe conclusions on thinner information, and documentation across high volumes becomes a second full-time job.

How CDST works here

CDST is built for this environment, web app workflows:

  • Noura's structured intake gathers the history before the clinician even joins, in the patient's own language.
  • CDST presents the differential and the questions worth asking, so limited consultation time goes to what matters.
  • The assessment and plan is drafted with inline evidence, ready to review, edit, and sign.
  • Prescriptions, referrals, and follow-up land in the unified record, visible to any AwaDoc provider the patient sees next.

What changes

  • Shorter and sharper consultations.Intake and documentation stop consuming the clinical minutes.
  • Consistent quality at scale.Every consult, on every shift, gets the same evidence-grounded support.
  • Continuity of care.Cross-provider records mean no patient starts from zero.
Use Case 5

The HMO Network

HMOs carry the cost of everything that goes wrong in the consultation room: missed diagnoses that become expensive admissions, irrational prescribing, incomplete documentation that slows claims, and wide variation in care quality across a provider network they cannot directly supervise.

Stack of medical documents and papers with a stethoscope on top

How CDST works here

Deploying CDST across a provider network gives the HMO a quality and cost lever it has never had:

  • Every network consultation runs with guideline-based decision support, standardising care quality across facilities.
  • Prescribing checks reduce irrational drug spend and adverse events that drive downstream claims.
  • Structured, complete documentation flows from every encounter, making claims cleaner and utilisation review faster.
  • Audit logs give the HMO visibility into how care decisions were supported, without interfering in clinical autonomy.

What changes

  • Lower medical loss.Earlier, more accurate diagnosis is cheaper than late-stage admission.
  • Cleaner claims, faster cycles.Complete documentation at the source removes the back-and-forth.
  • A network you can stand behind.Consistent, evidence-based care becomes a selling point to enrollees and employers.
Stethoscope resting on a stack of medical textbooks
Use Case 6

The State PHC Programme

States and constituencies invest heavily in primary healthcare: buildings, equipment, drug supplies. But the binding constraint is clinical capacity. A renovated PHC with an unsupported health worker still misses the sick child, still refers late, and still loses the community's trust.

How CDST works here

CDST is the clinical backbone that makes PHC investment perform:

  • Deployed across a state's PHCs, CDST gives every facility the same guideline-grounded decision support, aligned to WHO protocols.
  • Multilingual support means the tool works in the languages that health workers and patients actually speak.
  • Structured encounter data flows upward, giving programme managers real visibility into presentations, referrals, and disease patterns across the state.
  • The system runs on existing devices, with training and onboarding handled by the AwaDoc team.

What changes

  • PHC investment that performs.Clinical infrastructure converts buildings and budgets into outcomes.
  • Data for decision makers.Live epidemiological visibility across facilities, not paper registers collated months later.
  • Health workers who stay.Supported workers are retained workers in the facilities that need them most.

FAQs

Have more questions? Contact Us

AwaDoc CDST is a clinically validated AI tool that sits inside every consultation and supports your clinician with the right diagnosis, the right drug, and the right next step, instantly. It is powered by Noura, AwaDoc's clinical AI engine, and is built specifically for healthcare delivery in Africa.

CDST supports the full clinical workflow:

  • Differential diagnosis. Enter a patient presentation and receive a ranked, prevalence-aware differential with supporting and opposing evidence, the “can't-miss” conditions, and the next diagnostic steps appropriate to your facility tier.
  • Assessment and plan. A clinician-ready A&P with a synthesised impression, problem-by-problem diagnostics and treatments, and follow-up actions, ready to review, edit, and sign.
  • Clinical Q&A. Ask a clinical question in plain language and get a direct, evidence-grounded answer with reasoning and sources shown.
  • Prescribing safety. Guideline-based treatment options with drug interaction, contraindication, and dosing checks before a prescription is finalised.
  • Chart summarisation. Long, crowded records condensed into a one-screen brief that highlights what changed since the last encounter.
  • Clinical documentation. H&P notes, progress notes, and ambient scribing that captures the consultation as it happens, so clinicians spend their time on patients, not paperwork.

No. CDST augments clinical judgment, it never replaces it. The clinician stays in the loop at every step. Every recommendation is presented with its reasoning and evidence so the treating clinician reviews, accepts, edits, or overrides it. The final clinical decision always belongs to the licensed clinician.

Yes. CDST is clinically validated and is already deployed in live clinical settings, where it runs alongside AwaDoc's EMR to support doctors at the bedside.

Yes, and this is the difference. Most decision support tools are trained on Western populations and rank malaria below conditions your clinicians rarely see. CDST applies epidemiological weighting for the African clinical context, so its differentials reflect the disease patterns your facility actually encounters.

CDST is designed around red-flag detection. Alongside the most likely diagnoses, it always surfaces the “can't-miss” conditions, the dangerous possibilities that must be ruled out, together with the triage acuity and the reasoning behind it.

Yes. CDST is integration-ready and works with AwaDoc's own EMR and Unified Health Record (UHR), or alongside your existing hospital systems. Our team handles integration with you under an open integration agreement.

Most facilities go live within 5 working days. Deployment covers integration, clinician onboarding, and hands-on training, and our team supports you through all of it.

Yes. CDST is built in compliance with the Nigeria Data Protection Act (NDPA) 2023, HIPAA, and GDPR. Patient data is encrypted, access is role-based, and every action in the system is audit-logged. AI training only ever uses de-identified data.

Pricing depends on your facility size, number of clinicians, and the modules you deploy. Reach out, and we will build a package that fits your facility.

Send us a message at partnerships@awadoc.com and our team will schedule a demo for your facility, walk you through CDST live, and prepare an integration agreement. It is ready to sign.