Sophie Pascoe , Debbie-Ann Gillon , Paul Kamler , Asanga Abeyaratne , Natasha Pavlin , Gillian Gorham
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Implementing a clinical decision support system in an Aboriginal health service – A qualitative case study
Objective
This qualitative case study aims to evaluate the implementation of a clinical decision support system (CDSS) – Territory Kidney Care (TKC) – at an Aboriginal health service in the Northern Territory (NT) of Australia. This research aims to contribute understandings about the challenges clinicians face when navigating electronic systems within an Aboriginal health service setting and enablers and barriers to the implementation of CDSS.
Methods
Within a larger evaluation of TKC, this qualitative case study involved 13 baseline semi-structured interviews completed between October 2022 and January 2023 and seven follow up interviews conducted in June 2023. Through purposive sampling, clinicians in a range of primary care roles participated in the study. Interview transcripts were inductively and iteratively coded by two researchers using a thematic analysis approach.
Results
The baseline evaluation found that clinicians working in an Aboriginal health service used multiple electronic health systems, spent considerable time collating patient data across systems and faced challenges related to missing information, technological issues and limited training. The process evaluation of TKC implementation identified that adequate training, a funded Implementation Officer role and supportive leadership were central enablers, while competing clinical priorities, time limitations, staff shortages, access processes were key barriers to uptake and usage.
Conclusions
This case study highlights the need for integrated data tools in Aboriginal health services to bridge the gaps between primary, tertiary, government and non-government services. The evaluation emphasises the importance of embedding CDSS within workflows and ensuring there are dedicated staff and resources to facilitate implementation.
Lay Summary
This study focuses on how a clinical decision support system was implemented in an Aboriginal health service in the Northern Territory of Australia. Through interviews with clinicians, we identify key barriers and enablers to accessing clinical decision support, as an adjunct to electronic health records. Clinicians in Aboriginal health services must use multiple systems and spend a lot of time looking for information about their patients; a new integrated data platform called Territory Kidney Care was implemented to pull information together from different health services. This research highlights the importance of ensuring there are dedicated staff and resources to help implement new systems.
期刊介绍:
Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments.
HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology.
Topics covered by HPT will include:
- Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems
- Cross-national comparisons on health policy using evidence-based approaches
- National studies on health policy to determine the outcomes of technology-driven initiatives
- Cross-border eHealth including health tourism
- The digital divide in mobility, access and affordability of healthcare
- Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies
- Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies
- Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making
- Stakeholder engagement with health technologies (clinical and patient/citizen buy-in)
- Regulation and health economics