An innovative linked Electronic Health Record derived data ecosystem for understanding the complexities of health and ageing.

ObjectiveWe describe the creation of an Electronic Health Record (EHR) derived linked data platform within the Australian National Centre for Healthy Ageing (NCHA). ApproachOur approach involved establishing a core set of EHR data suitable for research from the sole public health provider within a defined geographic region. Relevant items were selected based on published literature and consensus processes and curated within a specialised research data warehouse. Curation involved: data validation, quality assessment, internal linkage between episodes and data harmonisation/merging. An AI supported natural language processing pipeline was implemented to extract text-based data. Approvals were obtained from government agencies to link commonwealth claims data (primary care, medication, aged care, death) and state administrative hospital data, for all residents aged ≥60 years. Publicly available datasets were scoped for inclusion and collaborations established to incorporate local council data. ResultsA core of 113 curated items for >900,000 people over 10 years have been established across 4 hospitals and 10 community/outpatient services. Linked state and commonwealth data were obtained for 179,089 residents aged >60 years (Jan 2010-May 2021, linkage accuracy 98.4%). Environmental (greenery, air pollution, walkability) and Census data have been incorporated for each neighbourhood (Statistical Area 1). Data access, extraction and release has been tested through over 30 use-case projects in: dementia, residential aged care, medication use, homelessness, environmental impacts on health and ageing and health service redesign. ImplicationsThe NCHA Data Platform provides an international exemplar for the use of linked EHR data in advancing population health research.

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Publication Details

Journal
International Journal for Population Data Science
Published
2024-09-10
DOI
https://doi.org/10.23889/ijpds.v9i5.2747
Primary Topic
Artificial Intelligence in Healthcare
Type
article
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article

An innovative linked Electronic Health Record derived data ecosystem for understanding the complexities of health and ageing.

Emily B. Parker, David Ung, Nadine E. Andrew, Taya Collyer et al.
International Journal for Population Data Science
Artificial Intelligence in Healthcare
article

An innovative linked Electronic Health Record derived data ecosystem for understanding the complexities of health and ageing.

Emily B. Parker, David Ung, Nadine E. Andrew, Taya Collyer, Tanya Ravipati, Richard Beare, Velandai Srikanth, Alison Carver
article en

Abstract

ObjectiveWe describe the creation of an Electronic Health Record (EHR) derived linked data platform within the Australian National Centre for Healthy Ageing (NCHA). ApproachOur approach involved establishing a core set of EHR data suitable for research from the sole public health provider within a defined geographic region. Relevant items were selected based on published literature and consensus processes and curated within a specialised research data warehouse. Curation involved: data validation, quality assessment, internal linkage between episodes and data harmonisation/merging. An AI supported natural language processing pipeline was implemented to extract text-based data. Approvals were obtained from government agencies to link commonwealth claims data (primary care, medication, aged care, death) and state administrative hospital data, for all residents aged ≥60 years. Publicly available datasets were scoped for inclusion and collaborations established to incorporate local council data. ResultsA core of 113 curated items for >900,000 people over 10 years have been established across 4 hospitals and 10 community/outpatient services. Linked state and commonwealth data were obtained for 179,089 residents aged >60 years (Jan 2010-May 2021, linkage accuracy 98.4%). Environmental (greenery, air pollution, walkability) and Census data have been incorporated for each neighbourhood (Statistical Area 1). Data access, extraction and release has been tested through over 30 use-case projects in: dementia, residential aged care, medication use, homelessness, environmental impacts on health and ageing and health service redesign. ImplicationsThe NCHA Data Platform provides an international exemplar for the use of linked EHR data in advancing population health research.

International Journal for Population Data ScienceVol. 9(5)
Department of Health and Aged Care (AU), Peninsula Health (AU)
Openalex Percentile: Top 81%
Artificial Intelligence in Healthcare
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