Literature DB >> 27441717

Improving the Efficiency and Ease of Healthcare Analysis Through Use of Data Visualization Dashboards.

Jennifer G Stadler1, Kipp Donlon1, Jordan D Siewert1, Tessa Franken1, Nathaniel E Lewis1.   

Abstract

The digitization of a patient's health record has profoundly impacted medicine and healthcare. The compilation and accessibility of medical history has provided clinicians an unprecedented, holistic account of a patient's conditions, procedures, medications, family history, and social situation. In addition to the bedside benefits, this level of information has opened the door for population-level monitoring and research, the results of which can be used to guide initiatives that are aimed at improving quality of care. Cerner Corporation partners with health systems to help guide population management and quality improvement projects. With such an enormous and diverse client base-varying in geography, size, organizational structure, and analytic needs-discerning meaning in the data and how they fit with that particular hospital's goals is a slow, difficult task that requires clinical, statistical, and technical literacy. This article describes the development of dashboards for efficient data visualization at the healthcare facility level. Focusing on two areas with broad clinical importance, sepsis patient outcomes and 30-day hospital readmissions, dashboards were developed with the goal of aggregating data and providing meaningful summary statistics, highlighting critical performance metrics, and providing easily digestible visuals that can be understood by a wide range of personnel with varying levels of skill and areas of expertise. These internal-use dashboards have allowed associates in multiple roles to perform a quick and thorough assessment on a hospital of interest by providing the data to answer necessary questions and to identify important trends or opportunities. This automation of a previously manual process has greatly increased efficiency, saving hours of work time per hospital analyzed. Additionally, the dashboards have standardized the analysis process, ensuring use of the same metrics and processes so that overall themes can be compared across hospitals and health systems.

Entities:  

Keywords:  big data analytics; business intelligence; data distribution; healthcare; structured data

Mesh:

Year:  2016        PMID: 27441717     DOI: 10.1089/big.2015.0059

Source DB:  PubMed          Journal:  Big Data        ISSN: 2167-6461            Impact factor:   2.128


  19 in total

1.  Web-Based Dashboard for the Interactive Visualization and Analysis of National Risk-Standardized Mortality Rates of Sepsis in the US.

Authors:  Meng-Tse Lee; Fong-Ci Lin; Szu-Ta Chen; Wan-Ting Hsu; Samuel Lin; Tzer-Shyong Chen; Feipei Lai; Chien-Chang Lee
Journal:  J Med Syst       Date:  2020-01-11       Impact factor: 4.460

2.  Improving Health Care Management in Hospitals Through a Productivity Dashboard.

Authors:  Miguel Pestana; Ruben Pereira; Sérgio Moro
Journal:  J Med Syst       Date:  2020-03-12       Impact factor: 4.460

3.  Optimizing clinical decision support alerts in electronic medical records: a systematic review of reported strategies adopted by hospitals.

Authors:  Bethany A Van Dort; Wu Yi Zheng; Vivek Sundar; Melissa T Baysari
Journal:  J Am Med Inform Assoc       Date:  2021-01-15       Impact factor: 4.497

4.  Democratizing Access to Community-Based Survey Findings Through Dynamic Data Visualizations.

Authors:  Kiffer G Card; Justin Sorge; Ben Klassen; Rob Higgins; Len Tooley; Aidan Ablona; Jody Jollimore; Nathan J Lachowsky
Journal:  Arch Sex Behav       Date:  2020-09-09

Review 5.  Update on Data Reuse in Health Care.

Authors:  C Safran
Journal:  Yearb Med Inform       Date:  2017-09-11

6.  How can Big Data Analytics Support People-Centred and Integrated Health Services: A Scoping Review.

Authors:  Timo Schulte; Sabine Bohnet-Joschko
Journal:  Int J Integr Care       Date:  2022-06-16       Impact factor: 2.913

7.  Information architecture for a patient-specific dashboard in head and neck tumor boards.

Authors:  Alexander Oeser; Jan Gaebel; Andreas Dietz; Susanne Wiegand; Steffen Oeltze-Jafra
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-03-28       Impact factor: 2.924

8.  Nurse, Patient, and Care Partner Perceptions of a Personalized Safety Plan Screensaver.

Authors:  Megan Duckworth; Emily Leung; Theresa Fuller; Jenzel Espares; Brittany Couture; Frank Chang; Alexandra C Businger; Sarah Collins; Anuj Dalal; Anne Fladger; Jeffrey L Schnipper; Kumiko O Schnock; David W Bates; Patricia C Dykes
Journal:  J Gerontol Nurs       Date:  2017-04-01       Impact factor: 1.436

9.  Knowledge mapping visualization analysis of the military health and medicine papers published in the web of science over the past 10 years.

Authors:  Xuan-Ming Zhang; Xuan Zhang; Xu Luo; Hai-Tao Guo; Li-Qun Zhang; Ji-Wei Guo
Journal:  Mil Med Res       Date:  2017-07-12

10.  Rapid development of visualization dashboards to enhance situation awareness of COVID-19 telehealth initiatives at a multihospital healthcare system.

Authors:  Ram A Dixit; Stephen Hurst; Katharine T Adams; Christian Boxley; Kristi Lysen-Hendershot; Sonita S Bennett; Ethan Booker; Raj M Ratwani
Journal:  J Am Med Inform Assoc       Date:  2020-07-01       Impact factor: 4.497

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.