Medication histories
Identifies patient medication histories - medication history, drug or prescription history, current medication lists, dispensing records and medication reconciliation - when the phrase sits with populated patient identifiers and medication lines (drug, dose and frequency). Protected health information under applicable data protection regulations.
- Type
- regex
- Engine
- boost_regex
- Confidence
- medium
- Confidence justification
- Medium: enforce tiers need a populated patient identifier, and 85 also needs a dose/frequency medication line plus pharmacy or clinical evidence. Formularies, clinical guidelines and medicines information can carry the phrases and dose lines, but not a patient field, so they stay at 65.
- Detection quality
- Topic verified
- Jurisdictions
- global
- Regulations
- Privacy Act 1988 (Cth), NDB Scheme (Cth), My Health Records Act 2012 (Cth), Information Privacy Act 2009 (Qld), GDPR, HIPAA
- Frameworks
- ISO 27001, ISO 27701
- Data categories
- healthcare, phi
- Scope
- wide
- Risk rating
- 8
- Platform compatibility
- Purview: Compatible, GCP DLP: Compatible, Macie: Compatible, Zscaler: Compatible, Palo Alto: Degraded, Netskope: Unsupported
Pattern
(?i)\b(?:medication\s+(?:history|list|chart|profile|reconciliation)|prescription\s+history|drug\s+history|dispensing\s+(?:record|history)|current\s+medications)\b
Corroborative evidence keywords
pharmacist, prescriber, dispensed, repeats, allergies, adverse drug reaction, medication, drug name, drug strength, dosage, quantity prescribed, prescription, dispensing, compounding
Proximity: 300 characters
Should match
MEDICATION HISTORY - admission reconciliation Patient: Morgan Ellisdale URN: 118204 DOB: 17/03/1968 Allergies: penicillin (rash) Metformin 500 mg BD Atorvastatin 40 mg nocte Salbutamol 100 mcg 2 puffs PRN Pharmacist: Jo Tran - dispensing history checked with community pharmacy— Populated admission medication history with patient identifiers, dose/frequency lines and pharmacist evidence (85)Drug history taken at pre-admission clinic Patient name: Casey Rourke MRN: 5540921 Notes: reports only occasional over-the-counter analgesia.— Drug history with labelled patient identifiers but no medication lines (75)Dispensing history - Riverside Community Pharmacy Patient: Avery Kestrel DOB: 02/11/1954 Patient ID: RCP-77310 12/09/2026 Apixaban 5 mg twice daily - dispensed, 2 repeats remaining, prescriber Dr L Marchetti 12/09/2026 Sertraline 50 mg mane - dispensed (PBS) Webster pack packed weekly for collection by carer.— Community pharmacy dispensing history with patient identifiers, dated dose/frequency lines and repeats/prescriber evidence (85)
Should not match
unrelated generic text without domain phrases— No relevant topic phrases presentplaceholder value 12345— Random text should not match topic-specific regexpatient biometric— Generic word pair from old broad template should not matchPolicy guidance: this procedure explains how medication history records are collected, stored and shared, who may access them and how long they are kept. Staff should read the privacy section before completing any form. It contains no details about any individual.— Policy/guidance text naming the topic without any populated record (65 discovery at most)Medication history form Patient name: ____________________ URN: ____________________ Date of birth: ____________________ Signature: ____________ Date: __/__/____— Blank form with unpopulated labelled fields (placeholder guard keeps it below 75)News: a national medication list service will let pharmacists see dispensing records across providers. Pharmacists said a typical starting regimen of Metformin 500 mg twice daily is often duplicated when patients change clinics.— News/training prose about the topic without a populated record (65 discovery at most)
Known false positives
- Medical terminology in health education materials, research publications, clinical guidelines, or public health documents without patient-specific data. Mitigation: Require corroborative evidence keywords confirming patient context. Look for co-occurrence with patient identifiers such as medical record numbers or dates of birth.
- General wellness and fitness content using medical vocabulary without constituting protected health information. Mitigation: Layer with patient identifier patterns or healthcare-specific document structure detection to distinguish clinical records from general health content.