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Business and Social Sciences

Volume 1 Number 1 2023

Article Contents

REVIEWS   (Open Access)
Contents Vol 1 (1)

Advanced Business Analytics in Healthcare Enhancing Clinical Decision Support and Operational Efficiency

Sonia Nashid1*, Sonia Khan Papia2, Niladry Chowdhury3, Md Sakib Mia3, Md Iqbal Hossain4

+ Author Affiliations

Business and Social Sciences 1 (1) 1-8 https://doi.org/10.25163/business.1110345

Submitted: 01 May 2023 Revised: 23 July 2023  Published: 25 July 2023 

Abstract

Background: The healthcare industry undergoes a rapid transformation because of advanced business analytics which drives data-based choices and improves operational effectiveness along with clinical decision support (CDS). The healthcare industry shows diverse rates of adoption and implementation success because of technical and organizational and human-related factors. Methods: A cross-sectional study took place in July 2023 where 130 healthcare professionals from hospitals, clinics and public health agencies and private healthcare providers participated. The researchers gathered data through a structured questionnaire which participants completed either online or through face-to-face interaction. The questionnaire evaluated organizational attributes along with analytics adoption levels and tool usage as well as benefits experienced and obstacles encountered. The study used SPSS v26 to conduct descriptive statistics along with cross-tabulations and correlation analyses for analyzing adoption trends and connections between analytics usage and reported outcomes. Results: Advanced analytics tools actively support 78% of respondents while 65% apply analytics to their CDS systems and 58% use analytics for operational optimization purposes. Improved diagnostic accuracy along with better operational efficiency and increased patient satisfaction stood out as the primary advantages reported by participants. Data interoperability issues represented the primary challenge according to 68% of respondents while 64% cited privacy and security issues and 59% reported insufficient staff training. Conclusion: Healthcare organizations need to prioritize interoperability solutions and implement robust data governance while investing in workforce training for analytics capability development and sustainable adoption of these solutions.

Keywords: Business analytics, healthcare, clinical decision support, operational efficiency, predictive modeling

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