University of Twente Student Theses
Process Mining in Healthcare : A Study About Data Standardizing Framework, KPIs, and Domain Expertise Involvement in Emergency Care of Developed and Non-Developed Countries
Srinivas, Krupa (2024) Process Mining in Healthcare : A Study About Data Standardizing Framework, KPIs, and Domain Expertise Involvement in Emergency Care of Developed and Non-Developed Countries.
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| Abstract: | Abstract—Emergency departments (EDs) play a critical role in the healthcare system but face challenges in patient outcomes and operational efficiency. The absence of a standardized frame-work for data quality and key performance indicators (KPIs) prevents the identification of inefficiencies and benchmarking of ED performance. Additionally, process mining insights often lack validation from domain expertise, limiting their practical applicability to real healthcare settings. This research adopts the CRISP-DM framework to address these challenges using the MIMIC-IV ED datasets. The study focuses on improving data quality using the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM), standardizing KPIs for performance evaluation and integrating domain expertise to validate process mining insights across developed, underdeveloped and developing countries. The study follows a structured Extract-Transform-Load(ETL) process to prepare and standardize ED data for process mining. Process discovery techniques are applied to derive KPIs such as rework rate, average processing time, case resolution rate, and patient throughput. Process discovery is performed using a power automate tool by Microsoft. Trend analysis to further explore seasonal impacts, arrival processes, chief complaints and patient disposition. Domain expertise is integrated to validate these findings and align them with clinical practices globally. This study contributes to improving operational efficiency, optimizing workflows and enhancing patient outcomes in emergency departments worldwide. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 57 mining engineering |
| Programme: | Embedded Systems MSc (60331) |
| Link to this item: | https://purl.utwente.nl/essays/104893 |
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