A Qualitative Thematic Analysis of Addressing the Why: An Artificial Intelligence (AI) in Healthcare Symposium.
| Autor: | Borgstadt JT; Medical Science, A.T. Still University, Phoenix, USA., Kalpas EA; Clinical Informatics, Academic Affairs, HonorHealth and College of Health Solutions, Arizona State University, Scottsdale, USA., Pond HM; Research, HonorHealth, Scottsdale, USA. |
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| Jazyk: | angličtina |
| Zdroj: | Cureus [Cureus] 2022 Mar 31; Vol. 14 (3), pp. e23704. Date of Electronic Publication: 2022 Mar 31 (Print Publication: 2022). |
| DOI: | 10.7759/cureus.23704 |
| Abstrakt: | Healthcare managers and clinicians are inefficient in the processes of workflows and documentation. The inefficiency is due in part by increasing demands of insurance companies, regulatory demands from the government, and human error. Artificial intelligence (AI) can improve healthcare processes by decreasing variability, thus improving patient and physician experience and patient outcomes. This project brings together a panel of five experts to discuss problems in medicine and some of the tools available through AI and technology to address these problems. The symposium modeled a "flipped classroom" format. The first five 20-minute modules were uploaded to a web-based platform for viewing in advance of the 60-minute moderated roundtable (Zoom, Zoom Video Communications, San Jose, CA, USA). The following themes emerged after reviewing the transcribed data: data privacy and access (N=3, number of times identified); process improvement (N=2); physician experience (N=1); value in data (N=2); and bias in healthcare and AI (N=3). For AI to become implemented on a large scale in healthcare, many areas will need continued discussion and research, including a continued look into how AI can add value to workflow and knowledge augmentation. In addition, standards for the implementation of AI and a methodical approach to the analysis of the effectiveness of algorithms coupled with training of healthcare professionals in the language of AI algorithms will be helpful to ensure that AI is integrated safely. Competing Interests: This is meant to declare that potential conflicts of interest may be present in this study. One panelist in the referenced symposium is also a contributor to this paper. One panelist in the referenced symposium is also a founder and board member of a company that utilizes artificial intelligence (AI) in electronic medical records. One panelist in the referenced symposium is also a senior engineer with a major electronic medical record (EMR) company. (Copyright © 2022, Borgstadt et al.) |
| Databáze: | MEDLINE |
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