The Moderating Role of Hospital Staffing Levels on the Effectiveness of Clinical Decision Support Systems in Mitigating Patient Readmission Rates: An Empirical Analysis

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dc.contributor.authorTao, Youyou
dc.contributor.authorSundrup, Rui
dc.contributor.authorWu, Dezhi
dc.contributor.authorBrahma, Arin
dc.contributor.authorBaldwin, Kevin
dc.date.accessioned2024-12-26T21:07:17Z
dc.date.available2024-12-26T21:07:17Z
dc.date.issued2025-01-07
dc.description.abstractHealthcare staffing shortages and high 30-day readmission rates are pressing challenges in today's healthcare systems. While extensive studies have explored the positive impact of Health Information Technology (HIT) on health outcomes, the effect of hospital staffing on HIT effectiveness, particularly Clinical Decision Support Systems (CDSS), is underexplored. Therefore, we examine whether physician and resident staffing levels moderate the impact of CDSS on 30-day readmission rates. After analyzing data from 1,605 hospitals in the United States from 2017 and 2018, we found that the effect of CDSS implementation in reducing 30-day readmission rates is more pronounced in hospitals with lower bed-to-physician and bed-to-resident ratios, suggesting a higher number of physicians and residents per bed enhances the effectiveness of CDSS. The study also highlights different effects based on hospital size and complexity levels and emphasizes the importance of considering staffing levels when implementing CDSS and other HIT to maximize their benefits.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.420
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other7904b7f7-d174-478b-a00d-18cc64f835ac
dc.identifier.urihttps://hdl.handle.net/10125/109263
dc.relation.ispartofProceedings of the 58th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectIT Adoption, Diffusion, and Evaluation in Healthcare
dc.subject30-day readmission rates, clinical decision support systems, health information technology, hospital size and complexity, hospital staffing
dc.titleThe Moderating Role of Hospital Staffing Levels on the Effectiveness of Clinical Decision Support Systems in Mitigating Patient Readmission Rates: An Empirical Analysis
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage3489

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