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Nkwa HMS · Nkwa AI

An assistant that drafts and checks — your staff decide

Nkwa AI works inside the patient folder, claims vetting and reports. It tidies notes, suggests codes, answers questions about a patient and flags claims a scheme would query. Nothing is saved until a person reads it and accepts it, and patients' names and numbers are never sent.

Notes

From rough notes to a clean record

Type the consultation the way you think it. Nkwa AI sorts it into complaint, history, examination and plan — adding nothing that wasn't written.

  • Tidy notes into sections in one click.
  • Draft any form's text from the record — the discharge summary's course, results and follow-up.
  • Referral letters drafted from the visit; you edit, then print with your hospital's header.
Consultation notes sorted into sections by Nkwa AI, marked as a draft to check

Ask about a patient

Ask the folder anything

"Trend the blood pressure and suggest what to do." "Analyse the recent labs and medicines." Nkwa AI reads the last two years of the folder, plus allergies and chronic conditions, and answers with the figures and dates it used.

  • Trends from vitals and results over time.
  • Suggestions to consider — with what's available in Ghana in mind.
  • Decision support, not a diagnosis — the doctor checks and decides.
Nkwa AI trending a patient's blood pressure from the folder and suggesting next steps

Diagnosis codes

The right ICD-10 code, from your own list

Nkwa AI suggests diagnoses from the complaint, examination and results — only ones in your facility's disease list, each with the finding behind it.

  • Use puts it in the search box; the clinician adds it as usual.
  • Better-coded claims — NHIS needs the codes.
Diagnosis suggestions with ICD-10 codes and the finding behind each

Claims

Catch what a scheme would query

Before a claim goes out, Nkwa AI points out drugs no diagnosis justifies, missing codes, unusual quantities and double charges — beside the lines they concern.

  • Not rendered? Labs not resulted, procedures not performed and drugs not dispensed are shown on every claim — no AI needed.
  • Advice only — the officer removes, adds, flags or defers.
A claim in vetting with Nkwa AI's flags and a lab marked not resulted

Reports

Ask your reports in plain words

"How many malaria cases did we see in OPD last month?" Nkwa AI picks the right report, runs it with your own access, and answers from the figures — with the table and a link to the full report.

  • Only reports you may see, only your branches.
  • No guessing — answers come from your data, never from the AI's own knowledge.
A question about malaria cases answered from the DHIMS OPD morbidity report

Built for a hospital

Careful with patients, in your control

Names never leave

Only clinical details, age and sex are sent. Names, folder and NHIS numbers, phones and addresses are removed first.

Nothing saved by itself

Every draft and suggestion is marked as AI and waits for a person to check and accept it.

Your choice of AI

Through Aureon's service, or your own account with Anthropic (Claude), OpenAI, Google Gemini, Mistral or DeepSeek.

Switch on what you want

Off until you turn it on. Each helper has its own switch, and only the roles you choose can use it.

Usage and limits

Requests by helper and by user each month, with a monthly limit. What was asked is never stored.

Works without it

Nkwa AI needs the internet; the rest of Nkwa HMS doesn't. Switched off or offline, everything works as before.

Nkwa AI uses third-party AI models (such as Anthropic's Claude, or the provider your facility chooses) to draft and suggest. It never decides or saves anything on its own.

See Nkwa AI on your own cases

We'll show it on a patient folder, a claim and your reports — with test patients.

Request a demo