- Title
- A case for causal loop diagrams to model electronic health records ecosystems
- Creator
- Hashmi, Mustafa; McInnes, Angelique; Sahama, Tony; Stranieri, Andrew
- Date
- 2023
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/193658
- Identifier
- vital:18201
- Identifier
-
https://doi.org/10.1145/3579375.3579411
- Identifier
- ISBN:9798400700057 (ISBN)
- Abstract
- Causal loop diagrams (CLD) that emerged from systems thinking disciplines have been used to simulate complex inter-dependencies between causal factors in diverse phenomena. This paper highlights a process for generating a casual loop diagrams to represent the quality of electronic health record (EHR) ecosystem in a medical context. The quality inherent in the use of electronic health records for specific clinical purposes is taken to depend on factors including data integrity, reliability, relevance, timeliness and completeness. By improving the electronic health record ecosystem quality, health care providers can enhance their data sharing practices, and personalised patient care, while reducing the probabilities of medical errors. Ultimately the CLD can be used to run multiple simulations for several clinical case scenarios to understand the impact of various case phenomena on the quality of the electronic health record ecosystem. © 2023 ACM.
- Publisher
- Association for Computing Machinery
- Relation
- 2023 Australasian Computer Science Week, ACSW 2023, Melbourne, Australia, 31 January-3 February 2023, ACSW '23: Proceedings of the 2023 Australasian Computer Science Week p. 238-239
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2023 ACM
- Subject
- Causal loop diagrams; Electronic health records; Simulation
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