Literature DB >> 26018176

The effect of information technology on hospital performance.

Cynthia Williams1, Yara Asi2, Amanda Raffenaud2, Matt Bagwell2, Ibrahim Zeini2.   

Abstract

While healthcare entities have integrated various forms of health information technology (HIT) into their systems due to claims of increased quality and decreased costs, as well as various incentives, there is little available information about which applications of HIT are actually the most beneficial and efficient. In this study, we aim to assist administrators in understanding the characteristics of top performing hospitals. We utilized data from the Health Information and Management Systems Society and the Center for Medicare and Medicaid to assess 1039 hospitals. Inputs considered were full time equivalents, hospital size, and technology inputs. Technology inputs included personal health records (PHR), electronic medical records (EMRs), computerized physician order entry systems (CPOEs), and electronic access to diagnostic results. Output variables were measures of quality, hospital readmission and mortality rate. The analysis was conducted in a two-stage methodology: Data Envelopment Analysis (DEA) and Automatic Interaction Detector Analysis (AID), decision tree regression (DTreg). Overall, we found that electronic access to diagnostic results systems was the most influential technological characteristics; however organizational characteristics were more important than technological inputs. Hospitals that had the highest levels of quality indicated no excess in the use of technology input, averaging one use of a technology component. This study indicates that prudent consideration of organizational characteristics and technology is needed before investing in innovative programs.

Entities:  

Keywords:  AID; DEA; Efficiency; Health information technology; Hospital; Quality

Mesh:

Year:  2015        PMID: 26018176     DOI: 10.1007/s10729-015-9329-z

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  35 in total

Review 1.  Healthcare professionals' organisational barriers to health information technologies-a literature review.

Authors:  Maria Lluch
Journal:  Int J Med Inform       Date:  2011-10-13       Impact factor: 4.046

2.  Is computerized physician order entry use associated with a decrease in hospital resource utilization in hospitals that care for children?

Authors:  Ronald J Teufel; Abby Swanson Kazley; William T Basco
Journal:  J Med Syst       Date:  2011-04-19       Impact factor: 4.460

3.  U.S. hospital efficiency and adoption of health information technology.

Authors:  Natalia A Zhivan; Mark L Diana
Journal:  Health Care Manag Sci       Date:  2011-09-16

4.  Right there all along. Latest IOM report lays out how to deliver safer, more effective care by using existing strategies, technology.

Authors:  Maureen McKinney
Journal:  Mod Healthc       Date:  2012-09-10

5.  Measuring the efficiencies of visiting nurse service agencies using data envelopment analysis.

Authors:  Yuki Kuwahara; Satoko Nagata; Atsuko Taguchi; Takashi Naruse; Hiroyuki Kawaguchi; Sachiyo Murashima
Journal:  Health Care Manag Sci       Date:  2013-03-06

6.  Giving office-based physicians electronic access to patients' prior imaging and lab results did not deter ordering of tests.

Authors:  Danny McCormick; David H Bor; Stephanie Woolhandler; David U Himmelstein
Journal:  Health Aff (Millwood)       Date:  2012-03       Impact factor: 6.301

7.  Quality, cost, and health: an integrative model.

Authors:  A Donabedian; J R Wheeler; L Wyszewianski
Journal:  Med Care       Date:  1982-10       Impact factor: 2.983

8.  Impact of IT on health care professionals: changes in work and the productivity paradox.

Authors:  M A Hebert
Journal:  Health Serv Manage Res       Date:  1998-05

9.  Misdiagnosis: analysis based on case record review with proposals aimed to improve diagnostic processes.

Authors:  Graham Neale; Helen Hogan; Nick Sevdalis
Journal:  Clin Med (Lond)       Date:  2011-08       Impact factor: 2.659

10.  The effect of electronic medical record adoption on outcomes in US hospitals.

Authors:  Jinhyung Lee; Yong-Fang Kuo; James S Goodwin
Journal:  BMC Health Serv Res       Date:  2013-02-01       Impact factor: 2.655

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  7 in total

1.  Does participation in health information exchange improve hospital efficiency?

Authors:  Daniel M Walker
Journal:  Health Care Manag Sci       Date:  2017-02-24

2.  Ensuring electronic medical record simulation through better training, modeling, and evaluation.

Authors:  Ziqi Zhang; Chao Yan; Diego A Mesa; Jimeng Sun; Bradley A Malin
Journal:  J Am Med Inform Assoc       Date:  2020-01-01       Impact factor: 4.497

3.  Unscheduled Radiologic Examination Orders in the Electronic Health Record: A Novel Resource for Targeting Ambulatory Diagnostic Errors in Radiology.

Authors:  Ronilda Lacson; Michael J Healey; Laila R Cochon; Romeo Laroya; Keith D Hentel; Adam B Landman; Sunil Eappen; Giles W Boland; Ramin Khorasani
Journal:  J Am Coll Radiol       Date:  2020-01-16       Impact factor: 5.532

4.  Psychometric evaluation of the Smartphone for Clinical Work Scale to measure nurses' use of smartphones for work purposes.

Authors:  John Robert Bautista; Sonny Rosenthal; Trisha Tsui-Chuan Lin; Yin-Leng Theng
Journal:  J Am Med Inform Assoc       Date:  2018-08-01       Impact factor: 4.497

5.  Differentiate cavernous hemangioma from schwannoma with artificial intelligence (AI).

Authors:  Shaowei Bi; Rongxin Chen; Kai Zhang; Yifan Xiang; Ruixin Wang; Haotian Lin; Huasheng Yang
Journal:  Ann Transl Med       Date:  2020-06

Review 6.  The Core of Healthcare Efficiency: A Comprehensive Bibliometric Review on Frontier Analysis of Hospitals.

Authors:  Thyago Celso Cavalcante Nepomuceno; Luca Piubello Orsini; Victor Diogho Heuer de Carvalho; Thiago Poleto; Chiara Leardini
Journal:  Healthcare (Basel)       Date:  2022-07-15

7.  Factors that Determine Comprehensive Categorical Classification of EHR Implementation Levels.

Authors:  Soumya Upadhyay; William Opoku-Agyeman
Journal:  Health Serv Insights       Date:  2021-06-15
  7 in total

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