title: Factors influencing the adoption of health information technologies: a systematic review.
abstract: BACKGROUND
  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.
  
  
  CONCLUSIONS
  By considering various factors, including ease of use, usefulness, and social impact, the rate of the adoption of health information technology can be increased.
authors.affiliation: M.Sc. of Health Information Technology, Department of Health Information Management, School of Management and Medical Informatics, Shiraz University of Medical Sciences, Shiraz, Iran.
authors.forename: Ali
authors.initials: A
authors.lastname: Garavand
authors.affiliation: Health Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
authors.forename: Mohammah
authors.initials: M
authors.lastname: Mohseni
authors.affiliation: Ph.D. Candidate of Health Services Management, Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
authors.forename: Heshmatollah
authors.initials: H
authors.lastname: Asadi
authors.affiliation: Ph.D. Candidate of Health Policy, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
authors.forename: Manal
authors.initials: M
authors.lastname: Etemadi
authors.affiliation: M.Sc. of Health Technology Assessment, Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
authors.forename: Mohammad
authors.initials: M
authors.lastname: Moradi-Joo
authors.affiliation: Assistant Professor, Department of Health and Community Medicine, Dezful University of Medical Sciences, Dezful, Iran.
authors.forename: Ahmad
authors.initials: A
authors.lastname: Moosavi
keywords: Acceptance; Health Information Technology; Technology Acceptance Model (TAM)