Use cases · Emergency department · Hospital ward
Drug history and medicine reconciliation
On admission, the medicine list on file often doesn't match what the patient actually takes, and taking a full drug history uses up pharmacist and doctor time. TESSA asks patients or their carers what they take, including over-the-counter medicines, supplements and traditional remedies, how they take them and any recent changes, then compares this with the records on file and flags differences for the pharmacist or doctor to reconcile. Pairs with ClinCode.
At a glance
- Does
- Information gathering, Summarisation
- Setting
- Emergency department, Hospital ward
- Specialty
- Internal medicine, Pharmacy
- Who
- Patient and clinician
Also searched as
medication reconciliation · medicines reconciliation on admission · best possible medication history
Questions
What does TESSA do in drug history and medicine reconciliation?
On admission, the medicine list on file often doesn't match what the patient actually takes, and taking a full drug history uses up pharmacist and doctor time. TESSA asks patients or their carers what they take, including over-the-counter medicines, supplements and traditional remedies, how they take them and any recent changes, then compares this with the records on file and flags differences for the pharmacist or doctor to reconcile. Pairs with ClinCode. It does this through information gathering, summarisation.
Does TESSA diagnose the patient?
No, TESSA never gives a patient a diagnosis. It collects and collates the information the patient provides, asks probing questions and performs risk assessment; a clinician reviews the summary and decides, and no diagnosis, summary or management plan reaches the patient until the clinician signs.
What happens if the patient mentions a warning sign?
Warning or worrying signs that require immediate attention or action go straight to the care team without alarming the patient. For time-critical presentations, TESSA supports the clinician only and is not currently intended for patient use.
How is patient information protected?
The patient surface runs on session codes, not names, and each institution's data is kept apart with a full audit trail. Our own Anonesia by TINYHealth is a proprietary software and code that removes PIIs, e.g. names, ID numbers and contact details from text before it reaches an AI model.
How do we start with this use case?
Each new use case is built and validated with clinical teams, on your own pathways and guidance. Book a meeting with us to start.
