Back to search

Article

Undercounting diagnoses in Australian general practice: a data quality study with implications for population health reporting 

2023-09-01

Abstract excerpt

<h4>Background: </h4> Diagnosis can often be recorded in electronic medical records (EMRs) as free text or using a term with a diagnosis code from a dropdown list. Researchers, governments, and agencies, including organisations that deliver incentivised primary care quality improvement programs, frequently utilise coded data only and ignore free text entries. Diagnosis data are reported for population healthcare p...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
231a3e89-d997-522d-8fcf-beb2362dab54
DOI
10.21203/rs.3.rs-3287418/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Undercounting diagnoses in Australian general practice: a data quality study with implications for population health reportingDOI 10.21203/rs.3.rs-3287418/v1
Development of a primary care research network focused on chronic disease: a feasibility study for both practices and research networksSemantic proximity
Creating a Research-Ready Data Asset version of primary care data for Wales and investigating the impact of COVID-19 on utilisation of primary care servicesSemantic proximity
Heterogeneity of Diagnosis and Documentation of Post-COVID Conditions in Primary Care: A Machine Learning AnalysisSemantic proximity
Eleven key measures for monitoring general practice clinical activity during COVID-19 using federated analytics on 48 million adults’ primary care records through OpenSAFELYSemantic proximity
Developing and Testing a Framework for Coding General Practitioners' Free-Text Diagnoses in Electronic Medical Records - A Reliability Study for Generating Training Data in Natural Language ProcessingSemantic proximity
COVID-19 – Protocol for Observational Studies Utilising Near Real-Time Electronic Australian General Practice Data to Promote Effective Care and Best-Practice Policy – A Design Thinking ApproachSemantic proximity
COVID-19 – Protocol for Observational Studies Utilising Near Real-Time Electronic Australian General Practice Data to Promote Effective Care and Best-Practice Policy – A Design Thinking ApproachSemantic proximity
Suspected COVID-19 in primary care: how GP records contribute to understanding differences in prevalence by ethnicity.Semantic proximity
Primary Care Post-COVID syndrome Diagnosis and Referral CodingSemantic proximity
Changes in potential cancer indicator reporting in primary-care during the COVID-19 pandemicSemantic proximity
Measuring the prevalence of 60 health conditions in older Australians in residential aged care with electronic health records: a retrospective dynamic cohort studySemantic proximity
Assessing feasibility and risk to translate, de-identify and summarize medical reports using deep learningSemantic proximity
Select a neighboring publication to make it the new centre.