Validity of algorithms for identifying five chronic conditions in MedicineInsight, an Australian national general practice database.

ABSTRACT:

Background

MedicineInsight is a database containing de-identified electronic health records (EHRs) from over 700 Australian general practices. It is one of the largest and most widely used primary health care EHR databases in Australia. This study examined the validity of algorithms that use information from various fields in the MedicineInsight data to indicate whether patients have specific health conditions. This study examined the validity of MedicineInsight algorithms for five common chronic conditions: anxiety, asthma, depression, osteoporosis and type 2 diabetes.

Methods

Patients' disease status according to MedicineInsight algorithms was benchmarked against the recording of diagnoses in the original EHRs. Fifty general practices contributing data to MedicineInsight m

SUBMITTER: Havard A 

PROVIDER: S-EPMC8178900 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature