Factors influencing the adoption of health information technologies: a systematic review

Introduction The successful implementation of health information technologies requires investigating the factors affecting the acceptance and use of them. The aim of this study was to determine the most important factors affecting the adoption of health information technologies by doing a systematic review on the factors affecting the acceptance of health information technology. Methods This systematic review was conducted by searching the major databases, such as Google Scholar, Emerald, Science Direct, Web of Science, Pubmed, and Scopus. We used various keywords, such as adoption, use, acceptance of IT in medicine, hospitals, and IT theories in health services, and we also searched on the basis of several important technologies, such as Electronic Health Records (HER), Electronic Patient Records (EPR), Electronic Medical Records (EMR), Computerized Physician Order Entry (CPOE), Hospital Information System (HIS), Picture Archiving and Communication System (PACS), and others in the 2004–2014 period. Results The technology acceptance model (TAM) is the most important model used to identify the factors influencing the adoption of information technologies in the health system; also, the unified theory of acceptance and use of technology (UTAUT) model has had a lot of applications in recent years in the health system. Ease of use, usefulness, social impact, facilitating conditions, attitudes and behavior of users are effective in the adoption of health information technologies. Conclusion By considering various factors, including ease of use, usefulness, and social impact, the rate of the adoption of health information technology can be increased.

[1]  Manolis Tsiknakis,et al.  Organizational factors affecting successful adoption of innovative eHealth services: A case study employing the FITT framework , 2009, Int. J. Medical Informatics.

[2]  Atul Gupta,et al.  Adoption of ICT in a government organization in a developing country: An empirical study , 2008, J. Strateg. Inf. Syst..

[3]  Prodromos D. Chatzoglou,et al.  Using a modified technology acceptance model in hospitals , 2009, Int. J. Medical Informatics.

[4]  Maryam Jahanbakhsh,et al.  Electronic Medical Record in Central Polyclinic of Isfahan Oil Industry: A Case Study Based on Technology Acceptance Model , 2013, Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH.

[5]  Stuart M. Speedie,et al.  Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model , 2009, Int. J. Medical Informatics.

[6]  A. Weil,et al.  Diffusion of Innovation , 2020, The International Encyclopedia of Media Psychology.

[7]  A. Garavand,et al.  ATTITUDES AND BEHAVIORS RELATED TO INTRODUCTION OF ELECTRONIC HEALTH RECORD (EHR) AMONG SHIRAZ UNIVERSITY STUDENTS IN 2014 , 2015 .

[8]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[9]  Susan Wiedenbeck,et al.  Use and acceptance of an electronic health record: factors affecting physician attitudes , 2008 .

[10]  Paul Jen-Hwa Hu,et al.  Information Technology Acceptance by Individual Professionals: A Model Comparison Approach , 2001, Decis. Sci..

[11]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[12]  Gavin J Putzer,et al.  Are physicians likely to adopt emerging mobile technologies? Attitudes and innovation factors affecting smartphone use in the Southeastern United States. , 2012, Perspectives in health information management.

[13]  Dimitrios G. Katehakis,et al.  Electronic Health Record , 2006 .

[14]  A. Garavand,et al.  The Effective Factors in Adopting Picture Archiving and Communication System in Shiraz Educational Hospitals Based on Technology Acceptance Model , 2015 .

[15]  Bree Holtz,et al.  Understanding Nurse Perceptions of a Newly Implemented Electronic Medical Record System , 2011 .

[16]  Ab Razak Che Hussin,et al.  Neglected Role of User in Prominent IS Models and Framework , 2013 .

[17]  Maryam Ahmadi,et al.  The effects of organizational contextual factors on physicians' attitude toward adoption of Electronic Medical Records , 2015, J. Biomed. Informatics.

[18]  Michael Jones,et al.  South African physicians' acceptance of e-prescribing technology: an empirical test of a modified UTAUT model , 2013, South Afr. Comput. J..

[19]  Haslina Mohd,et al.  Acceptance Model of Electronic Medical Record , 2005 .

[20]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[21]  Moez Limayem,et al.  Using the UTAUT Model to Explore Iranian Physicians and Nurses' Intention to Adopt Electronic Patient Records , 2008, CSREA EEE.

[22]  Omar F. El-Gayar,et al.  EXAMINING HEALTHCARE PROFESSIONALS' ACCEPTANCE OF ELECTRONIC MEDICAL RECORDS USING UTAUT , 2008 .

[23]  Bradley M Block How we improved our practice and our bottom line with a new EMR system. , 2008, Family practice management.

[24]  Warner V. Slack,et al.  Reflections on electronic medical records: When doctors will use them and when they will not , 2010, Int. J. Medical Informatics.

[25]  Sharon S. Choi,et al.  Implementing electronic medical record systems in developing countries. , 2005, Informatics in primary care.

[26]  Mindy L. Columbus The Evaluation and Effectiveness of an Interdisciplinary Course in Electronic Health Record (EHR) Technology for Health and Rehabilitation Professionals , 2006 .

[27]  Richard J. Holden,et al.  The Technology Acceptance Model: Its past and its future in health care , 2010, J. Biomed. Informatics.

[28]  Kahouei Mehdi,et al.  Factors Affecting Information Technology Acceptance In Clinical Settings From Nurses' Perspective , 2013 .