Literature DB >> 30327955

Information System Maturity Models in Healthcare.

Jorge Gomes1, Mário Romão2.   

Abstract

The use of information systems in healthcare (HIS) has been recognised as having crucial importance in improving the efficiency, cost-effectiveness, quality, and safety of medical care delivery. HIS has the potential to improve individuals' health and providers' performance by producing better quality, cost savings, and greater patient involvement in their own health. There have been two major drivers for the HIS investments in healthcare: The ever-increasing burden from chronic disease with costs growing significantly faster and the recognition of the need for greatly improved quality and safety in health delivery. Maturity models (MM) are based on the premises that people, organizations, functional areas and processes evolve through a process of development or growth towards a more advanced maturity, going through a distinct number of levels. Through a state-of-the-art review of HIS, focused on their maturity state, we identify and characterize a set of critical factors recognized as determinants in the context of HIS maturity. The article identifies a broad spectrum of MM applied to the health sector and its characteristics and reinforces the belief that the maturity of HIS can contribute to the quality of information and knowledge management in the sector.

Entities:  

Keywords:  Information Systems Investments in Healthcare; Information Systems in Healthcare; Information systems health maturity models; Maturity models

Mesh:

Year:  2018        PMID: 30327955     DOI: 10.1007/s10916-018-1097-0

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


  16 in total

1.  Implementing information systems in health care organizations: myths and challenges.

Authors:  M Berg
Journal:  Int J Med Inform       Date:  2001-12       Impact factor: 4.046

2.  Time-based management of patient processes.

Authors:  Jaakko Kujala; Paul Lillrank; Virpi Kronström; Antti Peltokorpi
Journal:  J Health Organ Manag       Date:  2006

3.  Promoting usability in organizations with a new health usability model: implications for nursing informatics.

Authors:  Nancy Staggers; Melanie Rodney
Journal:  NI 2012 (2012)       Date:  2012-06-23

Review 4.  A PACS maturity model: a systematic meta-analytic review on maturation and evolvability of PACS in the hospital enterprise.

Authors:  Rogier van de Wetering; Ronald Batenburg
Journal:  Int J Med Inform       Date:  2008-08-26       Impact factor: 4.046

5.  Understanding business intelligence in the context of healthcare.

Authors:  Tobias Mettler; Vivian Vimarlund
Journal:  Health Informatics J       Date:  2009-09       Impact factor: 2.681

Review 6.  The benefits of health information technology: a review of the recent literature shows predominantly positive results.

Authors:  Melinda Beeuwkes Buntin; Matthew F Burke; Michael C Hoaglin; David Blumenthal
Journal:  Health Aff (Millwood)       Date:  2011-03       Impact factor: 6.301

7.  E-healthcare maturity in Taiwan.

Authors:  Chung-Feng Liu; Hsin-Ginn Hwang; Hui-Chuan Chang
Journal:  Telemed J E Health       Date:  2011-06-30       Impact factor: 3.536

8.  Towards a theory of PACS deployment: an integrative PACS maturity framework.

Authors:  Rogier van de Wetering; Ronald Batenburg
Journal:  J Digit Imaging       Date:  2014-06       Impact factor: 4.056

Review 9.  Maturity Models of Healthcare Information Systems and Technologies: a Literature Review.

Authors:  João Vidal Carvalho; Álvaro Rocha; António Abreu
Journal:  J Med Syst       Date:  2016-04-15       Impact factor: 4.460

Review 10.  A holistic framework to improve the uptake and impact of eHealth technologies.

Authors:  Julia E W C van Gemert-Pijnen; Nicol Nijland; Maarten van Limburg; Hans C Ossebaard; Saskia M Kelders; Gunther Eysenbach; Erwin R Seydel
Journal:  J Med Internet Res       Date:  2011-12-05       Impact factor: 5.428

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  5 in total

1.  From Testing to Decision-Making: A Data-Driven Analytics COVID-19 Response.

Authors:  Chad W Konchak; Jacob Krive; Loretta Au; Daniel Chertok; Priya Dugad; Gus Granchalek; Ekaterina Livschiz; Rupesh Mandala; Erin McElvania; Christine Park; Ari Robicsek; Linda M Sabatini; Nirav S Shah; Karen Kaul
Journal:  Acad Pathol       Date:  2021-04-20

Review 2.  Synthesizing Dimensions of Digital Maturity in Hospitals: Systematic Review.

Authors:  Rhona Duncan; Rebekah Eden; Leanna Woods; Ides Wong; Clair Sullivan
Journal:  J Med Internet Res       Date:  2022-03-30       Impact factor: 5.428

3.  A systematic literature review of AI-based digital decision support systems for post-traumatic stress disorder.

Authors:  Markus Bertl; Janek Metsallik; Peeter Ross
Journal:  Front Psychiatry       Date:  2022-08-09       Impact factor: 5.435

4.  Managing Directors' Perspectives on Digital Maturity in German Hospitals-A Multi-Point Online-Based Survey Study.

Authors:  Anja Burmann; Burkhard Fischer; Nico Brinkkötter; Sven Meister
Journal:  Int J Environ Res Public Health       Date:  2022-08-06       Impact factor: 4.614

5.  Technological Capabilities to Assess Digital Excellence in Hospitals in High Performing Health Care Systems: International eDelphi Exercise.

Authors:  Marta Krasuska; Robin Williams; Aziz Sheikh; Bryony Dean Franklin; Catherine Heeney; Wendy Lane; Hajar Mozaffar; Kathy Mason; Sally Eason; Susan Hinder; Rachel Dunscombe; Henry W W Potts; Kathrin Cresswell
Journal:  J Med Internet Res       Date:  2020-08-18       Impact factor: 5.428

  5 in total

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