Abstract
Cardiovascular disease (CVD) is the main cause of death globally. This PhD was carried outto improve clinical decision making in cardiac care by enhancing how data is collected andanalysed. Firstly, the PhD includes the development and assessment of the usability of three different interactive digital health forms, namely, 1) a single page digital form, 2) a multi-page digital form, and 3) a conversational digital form (a chatbot). After comparing these threedigital form designs, it was discovered that healthcare professionals perform better when using a single page digital form (p(HCI)/form design suggestions for gathering high quality data that can be used to facilitatereliable real world data analytics, which could, in turn, provide new useful and actionableinsights to improve clinical decision making. Moreover, given that data science/data analyticsis an emerging area to improve patient care, this PhD carried out series of analyses to elicitbeneficial insights from analysing referral datasets and pathways. These analyses contain aseries of analyses including time series analysis, supervised and unsupervised machinelearning and process mining, all applied to real-world data (datasets of patients who werereferred to the primary percutaneous coronary intervention (PPCI) service/Cath-Lab forcardiac reperfusion therapy). The primary findings include that time series analysis of all the patient's data exhibit various fluctuations over time. Furthermore, cluster analysis was used to discover patient archetypes as well as new taxonomy for naming archetypical patients. Also, using the PPCI patient referral datasets, 30 days and 1-year mortality was predicted usingvarious ML algorithms. This PhD also illustrates the use of process mining methods fordetecting patient pathway patterns in cardiac care. Secondary data also allowed the PhD toinvestigate how computers and humans make clinical decisions when interpretingelectrocardiograms (ECGs).Thesis is embargoed until 31st May 2024
| Date of Award | May 2022 |
|---|---|
| Original language | English |
| Supervisor | Raymond Bond (Supervisor), Victoria McGilligan (Supervisor), Aaron Peace (Supervisor) & Stephen Leslie (Supervisor) |
Keywords
- digital forms
- health care
- usability evaluation
- PPCI
- data analytics
- digital data processing
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