This paper is in the following e-collection/theme issue:

Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (588) Adoption and Change Management of eHealth Systems (730) Theoretical Frameworks and Concepts (258) Electronic Health Records (1067)

Published on in Vol 18, No 3 (2016): March

Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey

Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey

Electronic Health Record Patient Portal Adoption by Health Care Consumers: An Acceptance Model and Survey

Authors of this article:

Jorge Tavares1 Author Orcid Image ;   Tiago Oliveira1 Author Orcid Image
Article Authors Cited by (131) Tweetations (10) Metrics

Journals

  1. Hennemann S, Beutel M, Zwerenz R. Drivers and Barriers to Acceptance of Web-Based Aftercare of Patients in Inpatient Routine Care: A Cross-Sectional Survey. Journal of Medical Internet Research 2016;18(12):e337 View
  2. Emani S, Peters E, Desai S, Karson A, Lipsitz S, LaRocca R, Stone J, Suric V, Wald J, Wheeler A, Williams D, Bates D. Perceptions of adopters versus non-adopters of a patient portal: an application of diffusion of innovation theory. BMJ Health & Care Informatics 2018;25(3):149 View
  3. Tao D, Wang T, Wang T, Zhang T, Zhang X, Qu X. A systematic review and meta-analysis of user acceptance of consumer-oriented health information technologies. Computers in Human Behavior 2020;104:106147 View
  4. Enaizan O, Zaidan A, Alwi N, Zaidan B, Alsalem M, Albahri O, Albahri A. Electronic medical record systems: decision support examination framework for individual, security and privacy concerns using multi-perspective analysis. Health and Technology 2020;10(3):795 View
  5. Huang J, Chen Y, Landis J, Mahoney K. Difference Between Users and Nonusers of a Patient Portal in Health Behaviors and Outcomes: Retrospective Cohort Study. Journal of Medical Internet Research 2019;21(10):e13146 View
  6. Badran M. eHealth in Egypt: The demand-side perspective of implementing electronic health records. Telecommunications Policy 2019;43(6):576 View
  7. Uc B, Castillo-Sánchez G, Marques G, Arambarri J, de la Torre-Díez I. An Experience of Electronic Health Records Implementation in a Mexican Region. Journal of Medical Systems 2020;44(6) View
  8. Meier P, Beinke J, Fitte C, Schulte to Brinke J, Teuteberg F. Generating design knowledge for blockchain-based access control to personal health records. Information Systems and e-Business Management 2021;19(1):13 View
  9. Mandhana D, Glowacki E, Sun M. Promoting Patient Portals: An Application of Social Cognitive Theory to Post-Adoption Patient Portal Use. Health Communication 2021;36(14):1990 View
  10. Salgado T, Tavares J, Oliveira T. Drivers of Mobile Health Acceptance and Use From the Patient Perspective: Survey Study and Quantitative Model Development. JMIR mHealth and uHealth 2020;8(7):e17588 View
  11. Razmak J, Bélanger C. Using the technology acceptance model to predict patient attitude toward personal health records in regional communities. Information Technology & People 2018;31(2):306 View
  12. Chauhan S, Jaiswal M. A meta-analysis of e-health applications acceptance. Journal of Enterprise Information Management 2017;30(2):295 View
  13. Magalhães D, Martins J, Branco F, Au‐Yong‐Oliveira M, Gonçalves R, Moreira F. A proposal for a 360° information system model for private health care organizations. Expert Systems 2020;37(5) View
  14. Dhiman N, Arora N, Dogra N, Gupta A. Consumer adoption of smartphone fitness apps: an extended UTAUT2 perspective. Journal of Indian Business Research 2019;12(3):363 View
  15. Hsieh M, Shih F, Sheu S, Wang S, Shih F. Using an informatics education strategy to resolve the dilemma of teaching transplantation in medical institutions. Medicine 2018;97(43):e12809 View
  16. Sadoughi F, Khodaveisi T, Ahmadi H. The used theories for the adoption of electronic health record: a systematic literature review. Health and Technology 2019;9(4):383 View
  17. Abd-alrazaq A, Bewick B, Farragher T, Gardner P. Factors that affect the use of electronic personal health records among patients: A systematic review. International Journal of Medical Informatics 2019;126:164 View
  18. Tarver W, Menser T, Hesse B, Johnson T, Beckjord E, Ford E, Huerta T. Growth Dynamics of Patient-Provider Internet Communication: Trend Analysis Using the Health Information National Trends Survey (2003 to 2013). Journal of Medical Internet Research 2018;20(3):e109 View
  19. Koivumäki T, Pekkarinen S, Lappi M, Väisänen J, Juntunen J, Pikkarainen M. Consumer Adoption of Future MyData-Based Preventive eHealth Services: An Acceptance Model and Survey Study. Journal of Medical Internet Research 2017;19(12):e429 View
  20. Chuang L, Chen P, Chen Y. The Determinant Factors of Travelers’ Choices for Pro-Environment Behavioral Intention-Integration Theory of Planned Behavior, Unified Theory of Acceptance, and Use of Technology 2 and Sustainability Values. Sustainability 2018;10(6):1869 View
  21. Apolinário-Hagen J, Kemper J, Stürmer C. Public Acceptability of E-Mental Health Treatment Services for Psychological Problems: A Scoping Review. JMIR Mental Health 2017;4(2):e10 View
  22. Tavares J, Oliveira T. New Integrated Model Approach to Understand the Factors That Drive Electronic Health Record Portal Adoption: Cross-Sectional National Survey. Journal of Medical Internet Research 2018;20(11):e11032 View
  23. Schladen M, Ljungberg I, Underwood J, Groah S. Exploration of the Personal Health Record as a Tool for Spinal Cord Injury Health Self-Management and Coordination of Care. Topics in Spinal Cord Injury Rehabilitation 2017;23(3):218 View
  24. Baudier P, Kondrateva G, Ammi C. The future of Telemedicine Cabin? The case of the French students’ acceptability. Futures 2020;122:102595 View
  25. Li J, Liu X, Ma L, Zhang W. Users’ intention to continue using social fitness-tracking apps: expectation confirmation theory and social comparison theory perspective. Informatics for Health and Social Care 2019;44(3):298 View
  26. Zhang Y, Liu C, Luo S, Xie Y, Liu F, Li X, Zhou Z. Factors Influencing Patients’ Intentions to Use Diabetes Management Apps Based on an Extended Unified Theory of Acceptance and Use of Technology Model: Web-Based Survey. Journal of Medical Internet Research 2019;21(8):e15023 View
  27. Abd-Alrazaq A, Alalwan A, McMillan B, Bewick B, Househ M, AL-Zyadat A. Patients’ Adoption of Electronic Personal Health Records in England: Secondary Data Analysis. Journal of Medical Internet Research 2020;22(10):e17499 View
  28. Hoogenbosch B, Postma J, de Man-van Ginkel J, Tiemessen N, van Delden J, van Os-Medendorp H. Use and the Users of a Patient Portal: Cross-Sectional Study. Journal of Medical Internet Research 2018;20(9):e262 View
  29. Bell K, Warnick E, Nicholson K, Ulcoq S, Kim S, Schroeder G, Vaccaro A. Patient Adoption and Utilization of a Web-Based and Mobile-Based Portal for Collecting Outcomes After Elective Orthopedic Surgery. American Journal of Medical Quality 2018;33(6):649 View
  30. McAlearney A, Gaughan A, MacEwan S, Fareed N, Huerta T. Improving Acceptance of Inpatient Portals: Patients' and Care Team Members' Perspectives. Telemedicine and e-Health 2020;26(3):310 View
  31. Cantin-Garside K, Nussbaum M, White S, Kim S, Kim C, Fortes D, Valdez R. Understanding the experiences of self-injurious behavior in autism spectrum disorder: Implications for monitoring technology design. Journal of the American Medical Informatics Association 2021;28(2):303 View
  32. Garvin L, Simon S. Prioritizing Measures of Digital Patient Engagement: A Delphi Expert Panel Study. Journal of Medical Internet Research 2017;19(5):e182 View
  33. Wildenbos G, Jaspers M, Peute L. The equity paradox: older patients' participation in patient portal development. International Journal for Quality in Health Care 2018 View
  34. Crameri K, Maher L, Van Dam P, Prior S. Personal electronic healthcare records: What influences consumers to engage with their clinical data online? A literature review. Health Information Management Journal 2022;51(1):3 View
  35. Wong J, Steitz B, Rosenbloom S. Characterizing the impact of health literacy, computer ability, patient demographics, and portal usage on patient satisfaction with a patient portal. JAMIA Open 2019;2(4):456 View
  36. Baudier P, Ammi C, Deboeuf-Rouchon M. Smart home: Highly-educated students' acceptance. Technological Forecasting and Social Change 2020;153:119355 View
  37. Tavares J, Oliveira T. Electronic Health Record Portal Adoption: a cross country analysis. BMC Medical Informatics and Decision Making 2017;17(1) View
  38. Wu T, Deng Z, Chen Z, Zhang D, Wang R, Wu X. Predictors of Patients’ Intention to Interact With Doctors in Web-Based Health Communities in China: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(6):e13693 View
  39. Begnaud A, Joseph A, Lindgren B. Randomized Electronic Promotion of Lung Cancer Screening: A Pilot. JCO Clinical Cancer Informatics 2017;(1):1 View
  40. Vreugdenhil M, Kool R, van Boven K, Assendelft W, Kremer J. Use and Effects of Patient Access to Medical Records in General Practice Through a Personal Health Record in the Netherlands: Protocol for a Mixed-Methods Study. JMIR Research Protocols 2018;7(9):e10193 View
  41. Zhao Y, Li K, Zhang L. A meta-analysis of online health adoption and the moderating effect of economic development level. International Journal of Medical Informatics 2019;127:68 View
  42. Silver R, Subramaniam C, Stylianou A. The Impact of Portal Satisfaction on Portal Use and Health-Seeking Behavior: Structural Equation Analysis. Journal of Medical Internet Research 2020;22(3):e16260 View
  43. Kim J, Torous J, Chan S, Gipson S. Developing a Digitally Informed Curriculum in Psychiatry Education and Clinical Practice. Academic Psychiatry 2018;42(6):782 View
  44. Mukhopadhyay S, Basak R, Carpenter D, Reithel B. Patient use of online medical records: an application of technology acceptance framework. Information & Computer Security 2019;28(1):97 View
  45. Abd-Alrazaq A, Bewick B, Farragher T, Gardner P. Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study. Journal of Medical Internet Research 2019;21(7):e12373 View
  46. Distler V, Lallemand C, Koenig V. How Acceptable Is This? How User Experience Factors Can Broaden our Understanding of The Acceptance of Privacy Trade-offs. Computers in Human Behavior 2020;106:106227 View
  47. Metting E, Schrage A, Kocks J, Sanderman R, van der Molen T. Assessing the Needs and Perspectives of Patients With Asthma and Chronic Obstructive Pulmonary Disease on Patient Web Portals: Focus Group Study. JMIR Formative Research 2018;2(2):e22 View
  48. Pham Q, Cafazzo J, Feifer A. Adoption, Acceptability, and Effectiveness of a Mobile Health App for Personalized Prostate Cancer Survivorship Care: Protocol for a Realist Case Study of the Ned App. JMIR Research Protocols 2017;6(10):e197 View
  49. LeRouge C, Hah H, Deckard G, Jiang H. Designing for the Co-Use of Consumer Health Technology in Self-Management of Adolescent Overweight and Obesity: Mixed Methods Qualitative Study. JMIR mHealth and uHealth 2020;8(6):e18391 View
  50. Yousef C, Thomas A, Alenazi A, Elgadi S, Abu Esba L, AlAzmi A, Alhameed A, Hattan A, Almekhloof S, AlShammary M, Alanezi N, Alhamdan H, Eldegeir M, Abulezz R, Khoshhal S, Masala C, Ahmed O. Adoption of a Personal Health Record in the Digital Age: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(10):e22913 View
  51. Mathai N, McGill T, Toohey D. Factors Influencing Consumer Adoption of Electronic Health Records. Journal of Computer Information Systems 2022;62(2):267 View
  52. Lentferink A, Noordzij M, Burgler A, Klaassen R, Derks Y, Oldenhuis H, Velthuijsen H, van Gemert-Pijnen L. On the receptivity of employees to just-in-time self-tracking and eCoaching for stress management: a mixed-methods approach. Behaviour & Information Technology 2022;41(7):1398 View
  53. Czerwinska M. Analysis of the use of the UTAUT model for modeling the information technology acceptance process. Journal of Computer Sciences Institute 2020;17:417 View
  54. Lee Y, Tsai H, Ruangkanjanases A. The Determinants for Food Safety Push Notifications on Continuance Intention in an E-Appointment System for Public Health Medical Services: The Perspectives of UTAUT and Information System Quality. International Journal of Environmental Research and Public Health 2020;17(21):8287 View
  55. Lee M, Kang D, Yoon J, Shim S, Kim I, Oh D, Shin S, Hesse B, Cho J, Weston K. The difference in knowledge and attitudes of using mobile health applications between actual user and non-user among adults aged 50 and older. PLOS ONE 2020;15(10):e0241350 View
  56. Xiong J, Zuo M. Adoption of the mobile platform of medical and senior care in China: An empirical examination of perceived value (Preprint). JMIR Aging 2020 View
  57. Samadbeik M, Garavand A, Kordi M, Abtin A, Asadi H. Factors affecting the acceptance of mobile health by medical sciences students: A cross-sectional study. Iranian Journal of Nursing and Midwifery Research 2020;25(6):476 View
  58. Alsahafi Y, Gay V, Khwaji A. Factors affecting the acceptance of integrated electronic personal health records in Saudi Arabia: The impact of e-health literacy. Health Information Management Journal 2022;51(2):98 View
  59. Abd-Alrazaq A, Safi Z, Bewick B, Househ M, Gardner P. Patients’ Perspectives About Factors Affecting Their Use of Electronic Personal Health Records in England: Qualitative Analysis. Journal of Medical Internet Research 2021;23(1):e17500 View
  60. Li D, Hu Y, Pfaff H, Wang L, Deng L, Lu C, Xia S, Cheng S, Zhu X, Wu X. Determinants of Patients’ Intention to Use the Online Inquiry Services Provided by Internet Hospitals: Empirical Evidence From China. Journal of Medical Internet Research 2020;22(10):e22716 View
  61. Enaizan O, Eneizan B, Almaaitah M, Al-Radaideh A, Saleh A. Effects of privacy and security on the acceptance and usage of EMR: The mediating role of trust on the basis of multiple perspectives. Informatics in Medicine Unlocked 2020;21:100450 View
  62. Dimitrovski T, Bath P, Ketikidis P, Lazuras L. Factors affecting General Practitioners’ Readiness to Accept and Use an Electronic Health Record System: A National Unified Theory of Acceptance and Use of Technology’ Survey in the Republic of North Macedonia (Preprint). JMIR Medical Informatics 2020 View
  63. Tsai W, Wu Y, Cheng C, Kuo M, Chang Y, Hu F, Sun C, Chang C, Chan T, Chen C, Lee C, Chu C. A Technology Acceptance Model for Deploying Masks to Combat the COVID-19 Pandemic in Taiwan (My Health Bank): Web-Based Cross-sectional Survey Study. Journal of Medical Internet Research 2021;23(4):e27069 View
  64. Kisekka V, Goel S, Williams K. Disambiguating Between Privacy and Security in the Context of Health Care: New Insights on the Determinants of Health Technologies Use. Cyberpsychology, Behavior, and Social Networking 2021;24(9):617 View
  65. Moqbel M, Hewitt B, Nah F, McLean R. Sustaining Patient Portal Continuous Use Intention and Enhancing Deep Structure Usage: Cognitive Dissonance Effects of Health Professional Encouragement and Security Concerns. Information Systems Frontiers 2022;24(5):1483 View
  66. Kinney A, Sankaranarayanan B. Effects of Patient Portal Use on Patient Satisfaction: Survey and Partial Least Squares Analysis. Journal of Medical Internet Research 2021;23(8):e19820 View
  67. Yousef C, Salgado T, Farooq A, Burnett K, McClelland L, Thomas A, Alenazi A, Abu Esba L, AlAzmi A, Alhameed A, Hattan A, Elgadi S, Almekhloof S, AlShammary M, Alanezi N, Alhamdan H, Khoshhal S, DeShazo J. Predicting Patients’ Intention to Use a Personal Health Record Using an Adapted Unified Theory of Acceptance and Use of Technology Model: Secondary Data Analysis. JMIR Medical Informatics 2021;9(8):e30214 View
  68. Damberg S. Predicting future use intention of fitness apps among fitness app users in the United Kingdom: the role of health consciousness. International Journal of Sports Marketing and Sponsorship 2022;23(2):369 View
  69. Razmak J. Assessing patient readiness for a patient portal implementation in the UAE. Journal of Science and Technology Policy Management 2024;15(4):682 View
  70. Ngusie H, Kassie S, Chereka A, Enyew E. Healthcare providers’ readiness for electronic health record adoption: a cross-sectional study during pre-implementation phase. BMC Health Services Research 2022;22(1) View
  71. Peixoto M, Ferreira J, Oliveira L. Drivers for Teleconsultation Acceptance in Brazil: Patients’ Perspective during the COVID-19 Pandemic. Revista de Administração Contemporânea 2022;26(2) View
  72. Wiles L, Hibbert P, Stephens J, Molloy C, Maher C, Buchbinder R, Moseley G, O'Sullivan P, Lin I, Briggs A, Slater H, Harris I, Jan S, Dwyer A, Fallon K, Hogg M, Fried K, Needs C, Casey P, Dabestani R, Kay D, Braithwaite J, Runciman W. What Constitutes “Appropriate Care” for Low Back Pain?. Spine 2022;47(12):879 View
  73. Crouch J, Winters K, Zhang L, Stewart M. Telehealth during the pandemic: Patient perceptions and policy implications. Journal of Nursing Scholarship 2023;55(1):141 View
  74. Cornelissen L, Egher C, van Beek V, Williamson L, Hommes D. The Drivers of Acceptance of Artificial Intelligence–Powered Care Pathways Among Medical Professionals: Web-Based Survey Study. JMIR Formative Research 2022;6(6):e33368 View
  75. Aydin G, Kumru S. Paving the way for increased e-health record use: elaborating intentions of Gen-Z. Health Systems 2023;12(3):281 View
  76. Guetz B, Bidmon S. The Impact of Social Influence on the Intention to Use Physician Rating Websites: Moderated Mediation Analysis Using a Mixed Methods Approach. Journal of Medical Internet Research 2022;24(11):e37505 View
  77. Rahi S. Assessing individual behavior towards adoption of telemedicine application during COVID-19 pandemic: evidence from emerging market. Library Hi Tech 2022;40(2):394 View
  78. Bile Hassan I, Murad M, El-Shekeil I, Liu J. Extending the UTAUT2 Model with a Privacy Calculus Model to Enhance the Adoption of a Health Information Application in Malaysia. Informatics 2022;9(2):31 View
  79. Faida E, Supriyanto S, Haksama S, Markam H, Ali A. The Acceptance and Use of Electronic Medical Records in Developing Countries within the Unified Theory of Acceptance and Use of Technology Framework. Open Access Macedonian Journal of Medical Sciences 2022;10(E):326 View
  80. Yousef C, Salgado T, Farooq A, Burnett K, McClelland L, Abu Esba L, Alhamdan H, Khoshhal S, Aldossary I, Alyas O, DeShazo J. Health Care Providers’ Acceptance of a Personal Health Record: Cross-sectional Study. Journal of Medical Internet Research 2021;23(10):e31582 View
  81. Chang H, Wong K, Hung C. Health Beliefs and Social Support Related to Anxiety about Electronic Health Record Systems: A Patient Visit Survey (Preprint). JMIR Formative Research 2021 View
  82. Ramasawmy M, Poole L, Thorlu-Bangura Z, Chauhan A, Murali M, Jagpal P, Bijral M, Prashar J, G-Medhin A, Murray E, Stevenson F, Blandford A, Potts H, Khunti K, Hanif W, Gill P, Sajid M, Patel K, Sood H, Bhala N, Modha S, Mistry M, Patel V, Ali S, Ala A, Banerjee A. Frameworks for Implementation, Uptake, and Use of Cardiometabolic Disease–Related Digital Health Interventions in Ethnic Minority Populations: Scoping Review. JMIR Cardio 2022;6(2):e37360 View
  83. Pagé I, Roos M, Collin O, Lynch S, Lamontagne M, Massé-Alarie H, K. Blanchette A. UTAUT2-based questionnaire: cross-cultural adaptation to Canadian French. Disability and Rehabilitation 2023;45(4):709 View
  84. Emani S, Hsieh Y, Estey G, Parker H, Zhang X, Donelan K, Chung J. Researcher Perceptions of a Self-Service Online Portal to Facilitate Volunteer Recruitment into Clinical Trials. ACI Open 2021;05(02):e59 View
  85. Viana Pereira F, Tavares J, Oliveira T. Adoption of video consultations during the COVID-19 pandemic. Internet Interventions 2023;31:100602 View
  86. Yousef C, Salgado T, Farooq A, Burnett K, McClelland L, Abu Esba L, Alhamdan H, Khoshhal S, Aldossary I, Alyas O, DeShazo J. Predicting Health Care Providers' Acceptance of a Personal Health Record Secure Messaging Feature. Applied Clinical Informatics 2022;13(01):148 View
  87. Phibbs C, Rahman S. A Synopsis of “The Impact of Motivation, Price, and Habit on Intention to Use IoT-Enabled Technology: A Correlational Study”. Journal of Cybersecurity and Privacy 2022;2(3):662 View
  88. Cherif E, Mzoughi M. Electronic health record adopters: a typology based on patients’ privacy concerns and perceived benefits. Public Health 2022;207:46 View
  89. Griesser A, Bidmon S. A Process Related View on the Usage of Electronic Health Records from the Patients’ Perspective: A Systematic Review. Journal of Medical Systems 2022;47(1) View
  90. Dederichs M, Nitsch F, Apolinário-Hagen J. Piloting an Innovative Concept of e–Mental Health and mHealth Workshops With Medical Students Using a Participatory Co-design Approach and App Prototyping: Case Study. JMIR Medical Education 2022;8(1):e32017 View
  91. Wu M, Li Y, Ma C. Patients' choice preferences for specialist outpatient online consultations: A discrete choice experiment. Frontiers in Public Health 2023;10 View
  92. Wubante S, Tegegne M, Melaku M, Mengiste N, Fentahun A, Zemene W, Fikadie M, Musie B, Keleb D, Bewoketu H, Adem S, Esubalew S, Mihretie Y, Ferede T, Walle A. Healthcare professionals' knowledge, attitude and its associated factors toward electronic personal health record system in a resource-limited setting: A cross-sectional study. Frontiers in Public Health 2023;11 View
  93. Liu J, Gong X, Weal M, Dai W, Hou S, Ma J. Attitudes and associated factors of patients’ adoption of patient accessible electronic health records in China — A mixed methods study. DIGITAL HEALTH 2023;9 View
  94. Samadbeik M, Aslani N, Maleki M, Garavand A. Acceptance of mobile health in medical sciences students: Applying technology acceptance model. Informatics in Medicine Unlocked 2023;40:101290 View
  95. Spira B. The Drive for Health Equity - The Need to Use Technology to Reduce Healthcare Disparities in Orthopedics. Journal of Orthopaedic Experience & Innovation 2022;3(2) View
  96. Alanazi A, Alanazi M, Aldosari B. Personal Health Record (PHR) Experience and Recommendations for a Transformation in Saudi Arabia. Journal of Personalized Medicine 2023;13(8):1275 View
  97. Griesser A, Bidmon S. A holistic view of facilitators and barriers of electronic health records usage from different perspectives: A qualitative content analysis approach. Health Information Management Journal 2024;53(3):227 View
  98. Aydin G. Increasing mobile health application usage among Generation Z members: evidence from the UTAUT model. International Journal of Pharmaceutical and Healthcare Marketing 2023;17(3):353 View
  99. Aljafari R, Soh F, Setia P, Agarwal R. The local environment matters: Evidence from digital healthcare services for patient engagement. Journal of the Academy of Marketing Science 2024;52(5):1343 View
  100. Huang J, Pang W, Wong Y, Ko S, Yip S, Chan F, Cheung C, Wong W, Cheung N, Wong M. Evaluation on the adoption of eHealth App for electronic health record sharing system in Hong Kong. Annals of the Academy of Medicine, Singapore 2023;52(8):440 View
  101. Atikur Rahaman M, Dilip Taru R, Gupta A, Prajapat V, Ahmed E. Determinants of health-conscious consumers’ intention to adopt fitness apps. Innovative Marketing 2023;19(3):1 View
  102. Guetz B, Bidmon S. Authors’ Reply: “The Problem of Investigating Causal Relationships Between Cognitive and Evaluative Variables”. Journal of Medical Internet Research 2023;25:e52877 View
  103. Wei X, Peng X, Prybutok V. Consumer Behavioral Intention of Adopting Emerging Healthcare Technology. IEEE Transactions on Engineering Management 2024;71:888 View
  104. Kijpaisalratana N, Saoraya J, Nhuboonkaew P, Vongkulbhisan K, Musikatavorn K. Real-time machine learning-assisted sepsis alert enhances the timeliness of antibiotic administration and diagnostic accuracy in emergency department patients with sepsis: a cluster-randomized trial. Internal and Emergency Medicine 2024;19(5):1415 View
  105. Altawaiha I, Atan R, Yaakob R, Abdullah R. A three-step SEM-Bayesian network approach for predicting the determinants of CloudIoT-based healthcare adoption. International Journal of Information Technology 2024 View
  106. Wei X, Cao Y, Peng X, Prybutok V. A meta-analysis of technology acceptance in healthcare from the consumer’s perspective. Health Marketing Quarterly 2024;41(2):192 View
  107. Alarcon-Urbistondo P, Perez-Aranda J, Casado-Molina A. Key determinants of intention to use virtual reality in medical training. Virtual Reality 2024;28(2) View
  108. Griesser A, Mzoughi M, Bidmon S, Cherif E. How do opt-in versus opt-out settings nudge patients toward electronic health record adoption? An exploratory study of facilitators and barriers in Austria and France. BMC Health Services Research 2024;24(1) View
  109. Sritong C, Sawangproh W, Teangsompong T, Jayasingh S. Unveiling the adoption of metaverse technology in Bangkok metropolitan areas: A UTAUT2 perspective with social media marketing and consumer engagement. PLOS ONE 2024;19(6):e0304496 View
  110. Lek J, Cham K, Merolli M. Evaluating perceived technology self-efficacy and telehealth acceptance in optometry students. Clinical and Experimental Optometry 2024:1 View
  111. Tan T, Lim S, Vun C. Role of Technology Self-Efficacy and Digital Alliance in Digital Mental Health Tool Acceptance Among University Students in Singapore. International Journal of Crowd Science 2024;8(3):101 View
  112. Abebe S, Endehabtu B, Walle A, Hailu D, Yeshaneh A, Dres E, Yimmam M, Gashu K. Intention to use personal health record system and its predictors among chronic patients enrolled at public hospitals in Bahir Dar city, northwest Ethiopia: using modified UTAUT2 model. Frontiers in Medicine 2024;11 View
  113. Malarvizhi C, Al Mamun A, Reza M, Masud M. Ageing well with tech: Exploring the determinants of e-healthcare services adoption in an emerging economy. DIGITAL HEALTH 2024;10 View
  114. Mariño R, Capurro D, Merolli M. Pilot implementation of a telehealth course for health professions students. BMC Medical Education 2024;24(1) View
  115. Wubete Abebe A, Tilahun B, Mekonnen Z, Tegegne M. Intention to use patient portal and its predictors among patient with diabetes in Amhara region referral hospitals, Northwest Ethiopia, 2023: UTAUT-2 model. DIGITAL HEALTH 2024;10 View
  116. Yang Y, Tavares J, Oliveira T. A New Research Model for Artificial Intelligence–Based Well-Being Chatbot Engagement: Survey Study. JMIR Human Factors 2024;11:e59908 View
  117. Fazen L, Martin B, Isakari M, Kowalski-McGraw M, McLellan R, Ahsan R, Berenji M. Occupational Electronic Health Records. Journal of Occupational & Environmental Medicine 2024;66(11):e614 View
  118. 강 찬, 원 유, 김 학, 이 유. 패션 라이프로깅 앱 채택에 관한 연구. Journal of the Korean Society of Clothing and Textiles 2024;48(5):974 View

Books/Policy Documents

  1. Magalhães D, Martins J, Gonçalves R, Branco F, Oliveira M, Moreira F. Recent Advances in Information Systems and Technologies. View
  2. Alzahrani S, Daim T. R&D Management in the Knowledge Era. View
  3. Triberti S, Brivio E. P5 eHealth: An Agenda for the Health Technologies of the Future. View
  4. Alshoumr B, Yu P. Encyclopedia of Gerontology and Population Aging. View
  5. Alzahrani S, Daim T. R&D Management in the Knowledge Era. View
  6. Habibzadeh H, Soyata T. Connected Health in Smart Cities. View
  7. Alshoumr B. Encyclopedia of Gerontology and Population Aging. View
  8. Yao L, Wang X, Chen Z, Wu G. Security and Privacy in New Computing Environments. View
  9. Tavares J. Political and Economic Implications of Blockchain Technology in Business and Healthcare. View
  10. Ramalingam V, Mariappan D, Premkumar S, Ramesh Kumar C. Blockchain Security in Cloud Computing. View
  11. Alshoumr B, Yu P. Encyclopedia of Gerontology and Population Aging. View
  12. Sharma P, Kumar T, Tyagi S. International Conference on Innovative Computing and Communications. View