Literature DB >> 17911719

Health information systems adoption: findings from a systematic review.

Maryati Mohd Yusof1, Lampros Stergioulas, Jasmina Zugic.   

Abstract

Earlier evaluation studies on Health Information Systems (HIS) adoption have highlighted a large number of adoption problems that were attributed to the lack of fit between technology, human and organisation factors. Lessons can be learned from these evaluation studies by identifying the most important factors of HIS adoption. In order to study the adoption issue, a qualitative systematic review has been performed using a recently introduced framework, known as HOT-fit (Human, Organisation and Technology fit). The paper identifies and highlights the following critical adoption factors: technology (ease of use, system usefulness, system flexibility, time efficiency, information accessibility and relevancy); human (user training, user perception, user roles, user skills, clarity of system purpose, user involvement); organisation (leadership and support, clinical process, user involvement, internal communication, inter organisational system, as well as the fit between them. The findings can be used to guide future system development and inform relevant decision making.

Entities:  

Mesh:

Year:  2007        PMID: 17911719

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  18 in total

Review 1.  Systematic review of factors influencing the adoption of information and communication technologies by healthcare professionals.

Authors:  Marie-Pierre Gagnon; Marie Desmartis; Michel Labrecque; Josip Car; Claudia Pagliari; Pierre Pluye; Pierre Frémont; Johanne Gagnon; Nadine Tremblay; France Légaré
Journal:  J Med Syst       Date:  2010-03-30       Impact factor: 4.460

Review 2.  Factors that promote or inhibit the implementation of e-health systems: an explanatory systematic review.

Authors:  Frances S Mair; Carl May; Catherine O'Donnell; Tracy Finch; Frank Sullivan; Elizabeth Murray
Journal:  Bull World Health Organ       Date:  2012-05-01       Impact factor: 9.408

3.  Examining construct and predictive validity of the Health-IT Usability Evaluation Scale: confirmatory factor analysis and structural equation modeling results.

Authors:  Po-Yin Yen; Karen H Sousa; Suzanne Bakken
Journal:  J Am Med Inform Assoc       Date:  2014-02-24       Impact factor: 4.497

4.  Mediating role of the perceived benefits of using a medication safety system in the relationship between transformational leadership and the medication-error management climate.

Authors:  Myoung Soo Kim; Ji Hye Seok; Bo Min Kim
Journal:  J Res Nurs       Date:  2019-09-24

5.  Analyzing the determinants to accept a virtual assistant and use cases among cancer patients: a mixed methods study.

Authors:  Martien J P van Bussel; Gaby J Odekerken-Schröder; Carol Ou; Rachelle R Swart; Maria J G Jacobs
Journal:  BMC Health Serv Res       Date:  2022-07-09       Impact factor: 2.908

6.  Barriers and Facilitators to Automated Self-Scheduling: Consensus from a Delphi Panel of Key Stakeholders.

Authors:  Elizabeth Woodcock
Journal:  Perspect Health Inf Manag       Date:  2022-01-01

Review 7.  The impact of eHealth on the quality and safety of health care: a systematic overview.

Authors:  Ashly D Black; Josip Car; Claudia Pagliari; Chantelle Anandan; Kathrin Cresswell; Tomislav Bokun; Brian McKinstry; Rob Procter; Azeem Majeed; Aziz Sheikh
Journal:  PLoS Med       Date:  2011-01-18       Impact factor: 11.069

8.  Successful implementation of new technologies in nursing care: a questionnaire survey of nurse-users.

Authors:  Anke J E de Veer; Margot A H Fleuren; Nienke Bekkema; Anneke L Francke
Journal:  BMC Med Inform Decis Mak       Date:  2011-10-27       Impact factor: 2.796

9.  Understanding electronic medical record adoption in the United States: communication and sociocultural perspectives.

Authors:  Priya Nambisan; Gary L Kreps; Stan Polit
Journal:  Interact J Med Res       Date:  2013-03-26

10.  The clinical adoption meta-model: a temporal meta-model describing the clinical adoption of health information systems.

Authors:  Morgan Price; Francis Lau
Journal:  BMC Med Inform Decis Mak       Date:  2014-05-29       Impact factor: 2.796

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.