Pharmassist HMR CoreInterview + report-writing test platform
OpenAI GPT-5.6 Sol Local draft ready
Step 1

Referral document import

Upload the referral and extract patient, GP, medicines, diagnoses, pathology, consent and referral context into structured fields.

Drop a referral document here

PDF, DOCX, RTF, TXT or image. PDF is preferred for scanned referrals.

For testing with real clinical data, use only an appropriately configured production environment.
AI extraction Uses the backend-only OpenAI Responses API. Your API key is never placed in the browser.

Detected patient & referral data

Not analysed

Data quality & source trace

Review required
Patient identity
GP / clinic
Medication list
Clinical history
Pathology
Consent
Extraction rule

Missing or uncertain information is left visibly unresolved. The platform does not silently invent clinical facts.

Step 2

Pre-interview preparation

Compare the referral, medicines, pathology and known history, then build a targeted question plan before the home visit.

Suggested questions are prompts only. They should help the pharmacist investigate discrepancies, missing diagnoses, dose/timing differences, adherence, pathology and the referral reason.

Referral-derived prompts

0 suggestions
Import a referral or load the demo, then generate targeted questions.

Pre-visit checks

Step 3

Guided HMR interview

A structured interview covering medicine use, adherence, beliefs, lifestyle, function, symptoms, devices and patient priorities.

0 answered
Step 4

Medication reconciliation

Compare the referral list with what the patient is actually taking, including OTC, complementary medicines, eye drops, inhalers, creams and “just in case” medicines.

Current medication list

0 medicines
MedicineStrengthDirectionsIndicationSourcePatient use / discrepancyStatus

Adherence

Storage & expiry

Device technique

Step 5

Hospital visits, falls & major events

Capture recent admissions, emergency visits, medication changes, falls and other events that may explain current medicine use.

Hospital / emergency visits

0
No hospital visits recorded.

Falls / other significant events

0
No falls recorded.

Functional & home observations

Step 6

Tests, pathology & monitoring

Record values supplied on the referral or identified during the review. Add any other relevant test without changing the core template.

Weight
kg
Height
cm
BMI
kg/m²

Monitoring & pathology

0 tests
Test / observationValueUnitsDateSourceComment

Diabetes monitoring

Vaccination status discussed

Step 7

Clinical findings & issues

Document what was found, why it matters and the recommendation. Use AI to help structure wording, not to replace clinical judgement.

Step 8

HMR report writer

Generate concise professional draft wording from pharmacist-confirmed data, then edit each section before final review.

Addressing & patient details

Required

Interview summary

Medication list

Verified at interview
MedicineDose / directionsIndication / comment

Medication-related findings & recommendations

GP action summary

IssueRecommendationPriority

Additional notes / follow-up

Step 9

Final review & pharmacist sign-off

Resolve missing data, confirm that the report accurately reflects the interview and accept clinical responsibility before finalisation.

Final clinical checklist

Finalisation status

DraftComplete the declaration and required checks.
Before production use

Complete privacy, security, clinical-governance, retention, audit and data-processing review. This package is a test platform, not a production clinical record system.