SIG Health - Healthcare Informatics and Health Info Technology
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Paper Type
Complete
Paper Number
1301
Description
Data-driven decision support, which refers to the reliance on knowledge Discovery and Data mining (KDD) via statistical, mathematical, and machine learning algorithms for abstractions has enhanced clinical and non-clinical decisions in many organizations. Thus, this paper relies on Action Design Research (ADR) for designing and implementing Information Technology (IT) artifacts for understanding the risk of 30-days Unplanned Readmission (URA) of comorbid patients of diabetes from diverse cultural backgrounds to create a digital tool that will facilitate effective management of diabetes. The analysis of 17933 patients records at the building, intervention, and evaluation phase of ADR showed a 30-days URA rate of 10.71% for all patients, 10.98% rate for non- Black, Indigenous, and people of colour (BIPOC) - Caucasians, 9.94% for AA-BIPOC – African Americans, and 9.63% for BIPOC- Asians, Hispanics, and other races. This study leads to a better clinical practice via targeted and reflective management of hospitalized comorbid patients of diabetes to forestall early URA.
Recommended Citation
Ossai, Chinedu and Wickramasinghe, Nilmini, "Data-driven Decision Support for 30-day Unplanned Readmission Risks of Comorbid Patients with Diabetes – An Action Design Research Paradigm" (2022). AMCIS 2022 Proceedings. 6.
https://aisel.aisnet.org/amcis2022/sig_health/sig_health/6
Data-driven Decision Support for 30-day Unplanned Readmission Risks of Comorbid Patients with Diabetes – An Action Design Research Paradigm
Data-driven decision support, which refers to the reliance on knowledge Discovery and Data mining (KDD) via statistical, mathematical, and machine learning algorithms for abstractions has enhanced clinical and non-clinical decisions in many organizations. Thus, this paper relies on Action Design Research (ADR) for designing and implementing Information Technology (IT) artifacts for understanding the risk of 30-days Unplanned Readmission (URA) of comorbid patients of diabetes from diverse cultural backgrounds to create a digital tool that will facilitate effective management of diabetes. The analysis of 17933 patients records at the building, intervention, and evaluation phase of ADR showed a 30-days URA rate of 10.71% for all patients, 10.98% rate for non- Black, Indigenous, and people of colour (BIPOC) - Caucasians, 9.94% for AA-BIPOC – African Americans, and 9.63% for BIPOC- Asians, Hispanics, and other races. This study leads to a better clinical practice via targeted and reflective management of hospitalized comorbid patients of diabetes to forestall early URA.
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