Enhanced data extraction and modelling from electronic medical records and phenotyping for clinical care, and research: Case studies in management of medication stewardship
Develop new, efficient capability for data extraction from electronic medical records (EMR), along with demonstration of EMR use within clinical analytic methods that address clinical workflow activities and evaluate impact.
This project will develop a new and efficient capability for data extraction from electronic medical records, starting with Queensland’s integrated Electronic Medical Record (iEMR).
It aims to demonstrate and enhance data-extraction methods and to deliver real-time analytics to Australia’s largest health care service.
Using live analytics is essential when it comes to prioritising patient care and shifting from the current ‘break-fix’ healthcare model to a more sustainable ‘predict-prevent’ model. This project will pioneer this more desirable model in the commissioning of a sophisticated digital hospital.
If successful, this project will pave the way for Australian hospitals to increase their efficiency and improve care outcomes.
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- Refereed Journal ArticlePublished 8th March 2022Economic evaluation and analyses of hospital-based electronic medical records (EMRs): a scoping review of international literature
- Refereed Journal ArticlePublished 15th November 2021Safe and Effective Digital Anticoagulation: A Continuous Iterative Improvement Approach
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