Proposed Framework for the Assessment of Business Intelligence Platforms for Medium-to-Large Hospitals Using Hierarchical Decision Modeling and Expert Judgments

This research focuses on the assessment of business intelligence platforms for medium-to-large hospitals using hierarchical decision modeling methodology (HDM) and expert judgment. The healthcare data come from different source systems, like EMRs or HR software, to departments, radiology pharmacy. comes all over organization. Healthcare is complex complicated, i.e., structured unstructured has various formats text, numeric, images, multimedia, paper, etc. Even before pandemic, was growing. However, grown exponentially during resulting in a growing need storage, retrieval, analysis challenges traditional approaches. In addition, there demand clinical administrative information hospital executives services providers. use (BI) seen as possible solution this challenge. BI helps direct, high-level decision-making by evaluating practice performance predicting patient outcome trends. application/use potential reduce costs build healthier revenue streams, at same time, deliver best care. can assist decision-makers clinic billing, HR, everything between. objective current paper help alternatives considering multiple criteria stakeholders. applied multi-criteria approach, considered People, Business Processes, Technology perspectives, used Hierarchical Decision Modeling evaluate alternatives. HDM requires judgment experts provide relative ranking perspectives criteria. There are four alternative solutions suggested. Three cloud-based, one legacy, aka in-house solution. Cloud legacy systems will co-exist long run.