Literature DB >> 31332535

Decision-Making based on Big Data Analytics for People Management in Healthcare Organizations.

Maria José Sousa1, António Miguel Pesqueira2, Carlos Lemos3, Miguel Sousa4, Álvaro Rocha5.   

Abstract

Big data analytics enables large-scale data sets integration, supporting people management decisions, and cost-effectiveness evaluation of healthcare organizations. The purpose of this article is to address the decision-making process based on big data analytics in Healthcare organizations, to identify main big data analytics able to support healthcare leaders' decisions and to present some strategies to enhance efficiency along the healthcare value chain. Our research was based on a systematic review. During the literature review, we will be presenting as well the different applications of big data in the healthcare context and a proposal for a predictive model for people management processes. Our research underlines the importance big data analytics can add to the efficiency of the decision-making process, through a predictive model and real-time analytics, assisting in the collection, management, and integration of data in healthcare organizations.

Entities:  

Keywords:  Analytics; Big data; Business intelligence; Prisma methodology; Decision-making; Healthcare organizations; Leaders; Outcomes

Year:  2019        PMID: 31332535     DOI: 10.1007/s10916-019-1419-x

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  6 in total

1.  How can big data analytics be used for healthcare organization management? Literary framework and future research from a systematic review.

Authors:  Nicola Cozzoli; Fiorella Pia Salvatore; Nicola Faccilongo; Michele Milone
Journal:  BMC Health Serv Res       Date:  2022-06-22       Impact factor: 2.908

2.  Analytics and Lean Health Care to Address Nurse Care Management Challenges for Inpatients in Emerging Economies.

Authors:  María Elisa Moreno-Fergusson; William Javier Guerrero Rueda; Germán A Ortiz Basto; Indira Alba Lucia Arevalo Sandoval; Beatriz Sanchez-Herrera
Journal:  J Nurs Scholarsh       Date:  2021-10-19       Impact factor: 3.928

3.  The Potential of Big Data Research in HealthCare for Medical Doctors' Learning.

Authors:  Manuel Au-Yong-Oliveira; Antonio Pesqueira; Maria José Sousa; Francesca Dal Mas; Mohammad Soliman
Journal:  J Med Syst       Date:  2021-01-07       Impact factor: 4.460

4.  A SBM-DEA based performance evaluation and optimization for social organizations participating in community and home-based elderly care services.

Authors:  Qiuhu Shao; Jingfeng Yuan; Jin Lin; Wei Huang; Junwei Ma; Hongxing Ding
Journal:  PLoS One       Date:  2021-03-17       Impact factor: 3.240

Review 5.  Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries.

Authors:  Chandrabose Selvaraj; Ishwar Chandra; Sanjeev Kumar Singh
Journal:  Mol Divers       Date:  2021-10-23       Impact factor: 2.943

6.  Using real-time visualization system for data-driven decision support to achieve lung protective strategy: a retrospective observational study.

Authors:  How-Yang Tseng; Chieh-Lung Chen; Yu-Chao Lin; Ming-Che Chuang; Wu-Huei Hsu; Wan-Yun Hsiao; Tung-Mei Chen; Min-Tzu Wang; Wei-Chun Huang; Chih-Yu Chen; Biing-Ru Wu; Chih-Yen Tu; Shinn-Jye Liang; Wei-Cheng Chen
Journal:  Crit Care       Date:  2022-08-22       Impact factor: 19.334

  6 in total

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