Date of Award

Spring 3-2024

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Information Systems (PhDIS)

First Advisor

Cherie Noteboom

Second Advisor

Patti Brooks

Third Advisor

Insu Park

Abstract

The study aims to understand the providers' perspectives of Intelligent Clinical Decision Support Systems (ICDSS). Providers are the key users of ICDSS. ICDSS uptake is heavily reliant on providers. However, providers have a powerful sense of personal identity due to their prestige, high autonomy, and socially accepted role. Currently, providers are resisting ICDSS. ICDSS resistance is due to poor fit with workflow, lack of relevant output and usefulness, insensitivity to complex patients, autonomy challenges, and an impact on the provider-patient relationship. Recently, researchers have overlooked the providers' contextual perspectives of ICDSS. The study addressed the research gap by understanding the providers' perspectives on their experiences, the ICDSS clinical utility, and the providers' adaptation to the ICDSS. No known research exists explaining a comprehensive understanding of the providers' perspectives of ICDSS. Therefore, this research study empirically investigated the providers' perspectives to lay the foundation for tailoring ICDSS to providers' unique needs and preferences. As a result, provider satisfaction and patient care will improve. The study used Grounded Theory as an overarching methodology for our qualitative case study research. Semi-structured interviews were used to gather the providers' narrative data. The researcher transcribed the interview data and further refined it by comparing the text data to the audio recording data. The researcher analyzed the transcribed data using open coding. Further analysis identified catalysts and challenges for ICDSS. The ICDSS catalysts facilitated medical search, improved task efficiency, leveraged data-driven intelligence, provided transparent and reliable recommendations, improved treatment choices, prevented adverse events, supported their diagnosis process, promoted personalized training, promoted team dialogue, and improved technical literacy. The challenges of the ICDSS included contributing to cognitive overload, data quality issues, inflexibility, dehumanization of the patient-provider interaction, diminishing provider autonomy, increasing workload through compliance requirements, misalignment with their workflow, increasing AI anxiety, challenging to learn, and a resistance to change. The researcher grouped the focused codes into provider experiences, clinical utility, and adaptation. These were the categories of the ICDSS-Diagnostic Perspective Model (ICDSS-DPM). The ICDSS-DPM proposed six propositions that indicated the providers' perspectives of ICDSS.

Download

Share

COinS