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Artykuły w czasopismach na temat „Heath information technology acceptance model”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Escobar-Rodríguez, Tomás, Pedro Monge-Lozano, and Ma Mercedes Romero-Alonso. "Acceptance of E-Prescriptions and Automated Medication-Management Systems in Hospitals: An Extension of the Technology Acceptance Model." Journal of Information Systems 26, no. 1 (2012): 77–96. http://dx.doi.org/10.2308/isys-10254.

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ABSTRACT The serious repercussions of heath care errors on patient safety have led hospitals to deploy corrective information technologies. Hospitals are moving away from traditional paper-based systems and focusing on designing new methods that reduce errors, using information technology to catalyze the reengineering process. This paper analyzes the intention of health care personnel (physicians and nurses) to use e-prescriptions and automated medication-management systems (EPAMMS), identifying influencing factors. Understanding these factors provides the opportunity to explore which actions

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Abdekhoda, M., A. Dehnad, A. F. Hosseini, and M. Ahmadi. "Information Technology Acceptance in Health Information Management." Methods of Information in Medicine 53, no. 01 (2014): 14–20. http://dx.doi.org/10.3414/me13-01-0079.

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SummaryObjective: User acceptance of information technology has been a significant area of research for more than two decades in the field of information technology. This study assessed the acceptance of information technology in the context of Health Information Management (HIM) by utilizing Technology Acceptance Model (TAM) which was modified and applied to assess user acceptance of health information technology as well as viability of TAM as a research construct in the context of HIM.Methods: This was a descriptive- analytical study in which a sample of 187 personnel from a population of 36

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Nurhayati, Siti, and Nurul Hidayat. "Acceptance Measurement of Health Insurance Information System Based on Technology Acceptance Model." Jurnal Kesehatan Masyarakat 14, no. 2 (2018): 254–63. http://dx.doi.org/10.15294/kemas.v14i2.11374.

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The objective of this research is to evaluate P-Care BPJS information system based on Technology Acceptance Model (TAM). The type of research is analytical, cross sectional approach. Number of respondents 206 P-Care BPJS users at primary health care. Data analysis using linear regression. Based on correlation test external variables with percieved usefulness, showed high correlation = 0.6 (p <0.001); external variables with percieved ease of use showed moderate correlation = 0.4 (p <0.001); perceived ease of use with attitude showed moderate correlation = 0.5 (p <0.001); percieved use

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Ketikidis, Panayiotis, Tomislav Dimitrovski, Lambros Lazuras, and Peter A. Bath. "Acceptance of health information technology in health professionals: An application of the revised technology acceptance model." Health Informatics Journal 18, no. 2 (2012): 124–34. http://dx.doi.org/10.1177/1460458211435425.

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Yahşi, Ş., I. T. Medeni, T. D. Medeni, and M. S. Güzel. "The Acceptance of Health Information Systems by Senior Citizens: A Technology Acceptance Model." Economy: strategy and practice 20, no. 2 (2025): 37–53. https://doi.org/10.51176/1997-9967-2025-2-37-53.

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With the accelerating ageing of the population, there is an increasing need for older citizens to adapt to using digital healthcare solutions, including Health Information Systems (hereinafter – HIS), as an important element of affordable medicine. The primary purpose of this study is to examine the use and acceptance of HIS among senior citizens in Turkey who are actively employed or capable of working, using the Technology Acceptance Model (hereinafter – TAM) as the theoretical framework. A quantitative research design was applied, including survey data from 221 elderly individuals and a com

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Kim, Hyun Woo, and Hyejung Chang. "Medical Representatives’ User Acceptance of Remote e-Detailing Technology: A Moderated Mediation Analysis of Technology Acceptance Model." Healthcare Informatics Research 28, no. 1 (2022): 68–76. http://dx.doi.org/10.4258/hir.2022.28.1.68.

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Objectives: E-detailing methods have steadily evolved toward more contactless and interactive channels, which have received considerable attention during the coronavirus disease 2019 (COVID-19) crisis. Based on the technology acceptance model, this study attempted to identify medical representatives’ perceptions and attitudes towards individual innovativeness that affected users’ intentions to adopt new e-detailing devices utilizing information and communication technology.Methods: The subjects of the current study were medical representatives at three major multinational or domestic pharmaceu

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Farzandipour, Mehrdad, Somayyeh Ravandi, Hamidreza Gilasi, and Nabiallah Soleimani. "Iranian Health Information Technology Acceptance Model (IHITAM) from Users' Views." Acta Informatica Medica 27, no. 4 (2019): 245. http://dx.doi.org/10.5455/aim.2019.27.245-252.

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Rouidi, Mohammed, Abdelmajid Elouadi, and Amine Hamdoune. "Acceptance and use of telemedicine technology by health professionals: Development of a conceptual model." DIGITAL HEALTH 8 (January 2022): 205520762210816. http://dx.doi.org/10.1177/20552076221081693.

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Recent developments in information technology (IT) in health are extended to highly specialized services, an example is telemedicine technology, understood as the use of IT to enable the transfer of medical information for diagnostic purposes, therapeutic and educational. Despite the benefits of implementing such technology, healthcare professionals, as end users, do not fully utilize it. The Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT), are among the models applied to assess and predict the acceptance and use of telemedicine. This articl

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Tetik, Gözde, Serkan Türkeli, Sevcan Pinar, and Mehveş Tarim. "Health information systems with technology acceptance model approach: A systematic review." International Journal of Medical Informatics 190 (October 2024): 105556. http://dx.doi.org/10.1016/j.ijmedinf.2024.105556.

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Ehteshami, Asghar. "Barcode Technology Acceptance and Utilization in Health Information Management Department at Academic Hospitals According to Technology Acceptance Model." Acta Informatica Medica 25, no. 1 (2017): 4. http://dx.doi.org/10.5455/aim.2017.25.4-8.

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Tao, Da, Zhixi Chen, Mingfu Qin, and Miaoting Cheng. "Modeling Consumer Acceptance and Usage Behaviors of m-Health: An Integrated Model of Self-Determination Theory, Task–Technology Fit, and the Technology Acceptance Model." Healthcare 11, no. 11 (2023): 1550. http://dx.doi.org/10.3390/healthcare11111550.

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Although mobile health (m-health) has great potential to reduce the cost of medical care and improve its quality and efficiency, it is not widely accepted by consumers. In addition, there is still a lack of comprehensive insight into m-health acceptance, especially among consumers with different demographic characteristics. This study aimed to explore the factors affecting consumers’ acceptance and usage behaviors of m-health and to examine whether their roles differ by demographic characteristics. A comprehensive m-health acceptance model was proposed by integrating factors from the Self-Dete

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Widodo, Kristianto Purwoko, Anisa Rachmawati, and Lilis Endang WIjayanti. "Using the Technology Acceptance Model to Analyze Information System Performance." International Journal of Business, Humanities, Education and Social Sciences (IJBHES) 4, no. 2 (2022): 72–77. http://dx.doi.org/10.46923/ijbhes.v4i2.198.

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This article analyzes user perceptions of information systems. The DIY provincial government agency conducted the research. The analysis is based on the Technology Acceptance Model (TAM). Information system performance is associated with perceived usefulness (POU) and perceived ease of use (PEU). Based on the technology acceptance model, the user will be able to accept the information system if the user's information system has a perception that the information system is helpful for the user and easy to use. This article analyzes whether user perceptions of the usefulness and ease of use of in

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Moghbeli, Fateme, Mostafa Langarizadeh, Azita Kouhestani, and Azam Orooji. "Modeling the Acceptance of Hospital Information Systems among Nurses: An Extended Technology Acceptance Model." Iranian Journal of Medical Informatics 7 (May 23, 2018): 1. http://dx.doi.org/10.24200/ijmi.v7i0.147.

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Introduction: The perceived usefulness and perceived ease of use have been considered as the main factors affecting the acceptance of the new technologies since last few decades. However, it appears that these only two factors cannot describe the users’ behavior in the environments like the Hospital Information System. From the technology acceptance standpoint at the individual acceptance level, the present paper tends to develop a Technology Acceptance Model with introducing some external factors.Material and Methods: This study was conducted in 2017. The research population was included 185

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Asmaa Hatem Rashid .et.al, Asmaa Hatem. "Technology Acceptance Models to Improve Adoption of Health Information Systems." Journal of Advanced Sciences and Engineering Technologies 1, no. 1 (2021): 17–29. http://dx.doi.org/10.32441/jaset.01.01.03.

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Technology acceptance model (TAM) used to enhance understanding of technology acceptance in the workplace as healthcare environment. The use of technology in the healthcare environment improves healthcare outcomes, control the healthcare data, improve collaboration and skills among healthcare staff and reduce organizational expenses. Recent literature studies done indicated lack of adoption of technology as the health information systems (HISs), this be affect on collaboration among healthcare staff this in turn affect on healthcare outcomes and medical research findings. This research attempt

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Rashid, Asmaa Hatem, Shady Gomaa Abdulaziz, and Norizan Binti Mohd Yasin. "Technology Acceptance Models to Improve Adoption of Health Information Systems." Journal of advanced Sciences and Engineering Technologies 1, no. 1 (2018): 17–29. http://dx.doi.org/10.32441/jaset.v1i1.66.

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Technology acceptance model (TAM) used to enhance understanding of technology acceptance in the workplace as healthcare environment. The use of technology in the healthcare environment improves healthcare outcomes, control the healthcare data, improve collaboration and skills among healthcare staff and reduce organizational expenses. Recent literature studies done indicated lack of adoption of technology as the health information systems (HISs), this be affect on collaboration among healthcare staff this in turn affect on healthcare outcomes and medical research findings. This research attempt

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Kim, Jeongeun, and Hyeoun-Ae Park. "Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention." Journal of Medical Internet Research 14, no. 5 (2012): e133. http://dx.doi.org/10.2196/jmir.2143.

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Indah, Naryanti, Agushybana Farid, and Sediyono Eko. "Evaluation of Non-Communicable Disease Information System Acceptance (SI-PTM) using the Technology Acceptance Model (TAM)." International Journal of Innovative Science and Research Technology 7, no. 6 (2022): 347–51. https://doi.org/10.5281/zenodo.6789538.

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Non-communicable diseases (NCDs) cause 71% of deaths in the world and 76% in Indonesia. Therefore, a systematic and continuous health surveillance system is needed for control and prevention measures with complete, up-to-date and real-time recording and reporting. 90% of excel manual recording and delivery of reports are done by email. So we need an information system that supports surveillance of noncommunicable diseases. The model used in this study uses the Technology Acceptance Model to determine perceptions of usefulness, perceived convenience, attitudes and user intentions. This type of

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Holahan, Patricia J., Blake J. Lesselroth, Kathleen Adams, Kai Wang, and Victoria Church. "Beyond technology acceptance to effective technology use: a parsimonious and actionable model." Journal of the American Medical Informatics Association 22, no. 3 (2015): 718–29. http://dx.doi.org/10.1093/jamia/ocu043.

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Abstract Objective To develop and test a parsimonious and actionable model of effective technology use (ETU). Design Cross-sectional survey of primary care providers (n = 53) in a large integrated health care organization that recently implemented new medication reconciliation technology. Methods Surveys assessed 5 technology-related perceptions (compatibility with work values, implementation climate, compatibility with work processes, perceived usefulness, and ease of use) and 1 outcome variable, ETU. ETU was measured as both consistency and quality of technology use. Results Compatibility wi

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Damanik, Ferina Septiani, Anna Wahyuni Widayanti, and Chairun Wiedyaningsih. "USER ACCEPTANCE OF MOBILE-JKN: INSIGHTS FROM THE TECHNOLOGY ACCEPTANCE MODEL." Jurnal Administrasi Kesehatan Indonesia 12, no. 2 (2024): 206–17. https://doi.org/10.20473/jaki.v12i2.2024.206-217.

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Background: Technological advancements in healthcare have driven BPJS Kesehatan Indonesia to develop the Mobile JKN application to enhance accessibility, efficiency, and quality of services. Despite its potential benefits, the implementation of this application faces various challenges, such as application errors, differing levels of digital literacy, and data security issues, necessitating an evaluation of its adoption and acceptance. Aims: To analyse the public acceptance of Mobile JKN based on the Technology Acceptance Model (TAM) variable while also exploring user experiences towards the a

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Ahlan, Abd Rahman, and Barroon Isma'eel Ahmad. "An overview of patient acceptance of Health Information Technology in developing countries: a review and conceptual model." International Journal of Information Systems and Project Management 3, no. 1 (2022): 29–48. http://dx.doi.org/10.12821/ijispm030102.

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The potential to improve the quality, efficiency, outcomes, patient safety and reduce cost of healthcare by Health Information Technology (HIT) has been established by researchers. But unfortunately HIT systems are not properly utilized or are not widely available. This problem is even more glaring in developing countries. This article presents a review of some available HIT systems in order to assess the level of their presence and the technology used in developing them. Works related to acceptance of HIT systems were also reviewed so as to study the gaps in this area and propose a solution i

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Tao, Da, Fenglian Shao, Hailiang Wang, Mian Yan, and Xingda Qu. "Integrating usability and social cognitive theories with the technology acceptance model to understand young users’ acceptance of a health information portal." Health Informatics Journal 26, no. 2 (2019): 1347–62. http://dx.doi.org/10.1177/1460458219879337.

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The past decade has seen the proliferation of health information portals; however, consumer acceptance of the portals has proven difficult and rate of use has been limited. This study developed a consumer acceptance model by integrating usability and social cognitive theories with the technology acceptance model to explain young Internet users’ acceptance of health information portals. Participants (n = 201) completed a self-report questionnaire measuring model constructs after attending a usability testing with a typical health information portal. Results showed that the hypothesized model ac

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Bramo, Senait Samuel, Amare Desta, and Munavvar Syedda. "Acceptance of information communication technology-based health information services: Exploring the culture in primary-level health care of South Ethiopia, using Utaut Model, Ethnographic Study." DIGITAL HEALTH 8 (January 2022): 205520762211311. http://dx.doi.org/10.1177/20552076221131144.

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Introduction In sub-Saharan African countries including Ethiopia, the acceptance of Information Communication Technology (ICT) in health is at the proof-of-concept level with a few unsustainable piecemeal of pilot projects. Thus, a desirable willingness of acceptance among healthcare providers is a paramount. Material and Methods Eight months elapsed ethnographic study design was conducted using participant observation and key informant interviews. The data were entered on Qualitative Data Analysis mine software version 1.4. The quotes and field notes were thematized. The Unified Technology Ac

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Middlemass, Jo B., Jolien Vos, and A. Niroshan Siriwardena. "Perceptions on use of home telemonitoring in patients with long term conditions – concordance with the Health Information Technology Acceptance Model: a qualitative collective case study." BMC Medical Informatics and Decision Making 17, no. 1 (2017): 89. https://doi.org/10.1186/s12911-017-0486-5.

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<strong>Background: </strong>Health information technology (HIT) may be used to improve care for increasing numbers of older people with long term conditions (LTCs) who make high demands on health and social care services. Despite its potential benefits for reducing disease exacerbations and hospitalisations, HIT home monitoring is not always accepted by patients. Using the Health Information Technology Acceptance Model (HITAM) this qualitative study examined the usefulness of the model for understanding acceptance of HIT in older people (≥60 years) participating in a RCT for older people with

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Lin, Hsien-Cheng. "Nursesʼ Satisfaction With Using Nursing Information Systems From Technology Acceptance Model and Information Systems Success Model Perspectives". CIN: Computers, Informatics, Nursing 35, № 2 (2017): 91–99. http://dx.doi.org/10.1097/cin.0000000000000293.

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Putrawan, Syach Fitra Wahyu, and Jaka Nugraha. "System Quality and Information Quality to Use of Simpus: Technology Acceptance Model Perspective." Journal of Office Administration : Education and Practice 4, no. 2 (2024): 107–19. https://doi.org/10.26740/joaep.v4n2.p107-119.

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This research aims to analyze the influence of system quality and information quality on using the community health center management information system at the UPT Tanggunggunung Community Health Center. In the context of primary health services in Indonesia, community health centers have a crucial role, so the effective implementation and use of campus are essential. System quality and information quality are two key factors that are believed to influence the level of use of community health center management information systems. The research method used is quantitative with explanatory resea

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Prabowo, Nugroho Agung, Ahmad Naim Che Pee @. Che Hanapi, and Ibrahim Ahmad. "Investigating Technology Acceptance Model (TAM) for E-Da’wah: A Systematic Literature Review." E3S Web of Conferences 500 (2024): 01012. http://dx.doi.org/10.1051/e3sconf/202450001012.

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This literature review research aims to conduct a systematic review of the use of the Technology Acceptance Model (TAM) in the context of E-Da’wah. E-Da’wah is a new approach in da'wah that uses information and communication technology as a means to convey religious messages to the community. Information and communication technology has opened up new opportunities to spread da'wah more effectively and widely, but the acceptance and adoption of this technology by the public remains a relevant and interesting issue to be researched. This article will present a summary and analysis of previous st

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Edy Susanto, Iswari Septiana Nindi Wulandari, Nadilla Putri Melisa, et al. "Analysis Of Information System Implementation Electronic Medical Record With Technology Acceptance Model." Jurnal Rumpun Ilmu Kesehatan 1, no. 2 (2021): 69–77. http://dx.doi.org/10.55606/jrik.v1i2.2196.

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At the Health Center an electronic medical record information system (RME) is used in the department registration, poly general, poly elderly, poly tooth, poly MCH, room integrated, room mtbs, psychology, physiotherapy, laboratory and nutrition. Perceived use describes the extent to which they can accept A technology specifically system record medical electronic (RME). Objective study This For analyze how much the perception and use of the electronic medical record information system (RME), how simple and easy it is to implement an electronic medical record information system (RME). And how mu

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Bahanan, Lina, and Maha Alsharif. "Factors affecting the acceptance of teledentistry determined using the technology acceptance model: A cross-sectional study." DIGITAL HEALTH 9 (January 2023): 205520762311580. http://dx.doi.org/10.1177/20552076231158034.

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Objective The aim of this pilot study is to identify the main predictors and barriers that influence user intention to adopt teledentistry services among the Saudi population. Methods A total of 426 respondents completed a questionnaire. Our study used the technology acceptance model to predict how users will adopt teledentistry. An analysis of the factors that influence patient users’ intention to utilize teledentistry was conducted using partial least square structural equation modeling. Results Among the factors that influenced the intention to use teledentistry services, social influence p

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Esber, André, Martin Teufel, Lisa Jahre, Jürgen in der Schmitten, Eva-Maria Skoda, and Alexander Bäuerle. "Predictors of patients’ acceptance of video consultation in general practice during the coronavirus disease 2019 pandemic applying the unified theory of acceptance and use of technology model." DIGITAL HEALTH 9 (January 2023): 205520762211493. http://dx.doi.org/10.1177/20552076221149317.

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Background The coronavirus disease 2019 pandemic has led to an increase in remote consultations in health care. This study aimed to assess the acceptance of video consultation as an alternative to face-to-face in-office visits in general practice (GP) and to investigate its drivers and barriers. Methods A cross-sectional study was conducted in Germany during the coronavirus disease 2019 pandemic from December 2020 to April 2021. Participants were recruited among patients in 16 GP surgeries. Assessed were sociodemographic and medical data as well as information and communications technology rel

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Ahlan, Abd Rahman, and Barroon Isma’eel Ahmad. "User Acceptance of Health Information Technology (HIT) in Developing Countries: A Conceptual Model." Procedia Technology 16 (2014): 1287–96. http://dx.doi.org/10.1016/j.protcy.2014.10.145.

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Putri Luthfiya, Dzulfa, Eko Susanto, and Tomy Andrianto. "Applying the Technology Acceptance Model to Design Wellness Tourism E-Guidebook." Journal of Tourism Sustainability 1, no. 2 (2021): 82–94. http://dx.doi.org/10.35313/jtos.v1i2.16.

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Wellness tourism is becoming one trend as people desire to travel for fitness and mental health purposes. Wellness tourism resources are one of the South Bandung area's advantages. Information media is needed to be an alternative to the market under developing information about wellness tourism in the region. This applied research designed the wellness tourism e-guidebook by applying the Technology Acceptance Model (TAM) as the basis of a design by collecting opinions from 125 respondents who were processed statistically descriptive. The design process uses the canva application, Qr Code, and

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Armini, Ni Kadek, Aris Puji Widodo, and Suhartono Suhartono. "Model Evaluasi Penerimaan Pengguna Sistem Informasi Rekam Medis di Sektor Kesehatan." Jurnal Manajemen Kesehatan Indonesia 5, no. 2 (2017): 111–18. http://dx.doi.org/10.14710/jmki.5.2.2017.111-118.

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In the development of advanced technology, information users are required to follow the progress that has grown rapidly. One of the programs implemented by the Ministry of Health of the Republic of Indonesia has issued a policy that guides the implementation of health development implemented by the government and private sector in order to improve the quality of information in this case the quality of medical record information. And one of the efforts to improve the quality of medical record information in the hospital in the form of the application of Medical Record Information System (SIRM).

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Rohim, Abdul, Ansarul Fahrudda, Heru Suswojo, and Pipit Wiliyanarti. "Analysis of SI PENDEKAR Implementation with Technology Acceptance Model at Dr. Soedono General Hospital." Health and Technology Journal (HTechJ) 3, no. 3 (2025): 358–64. https://doi.org/10.53713/htechj.v3i3.355.

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Health information systems are important in providing efficient and effective services in the era of rapid development of information technology today. This study analyzed healthcare workers' acceptance of the benefits of implementing the Integrated Outpatient Revisit Patient Service Information System (SI PENDEKAR) at the outpatient clinic in Dr. Soedono General Hospital. This study used quantitative analysis with a cross-sectional approach. The questionnaire used a Technology Acceptance Model (TAM) instrument to evaluate officer acceptance of SI PENDEKAR innovation. The research subjects inc

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Rahimi, Bahlol, Hamed Nadri, Hadi Lotfnezhad Afshar, and Toomas Timpka. "A Systematic Review of the Technology Acceptance Model in Health Informatics." Applied Clinical Informatics 09, no. 03 (2018): 604–34. http://dx.doi.org/10.1055/s-0038-1668091.

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Background One common model utilized to understand clinical staff and patients' technology adoption is the technology acceptance model (TAM). Objective This article reviews published research on TAM use in health information systems development and implementation with regard to application areas and model extensions after its initial introduction. Method An electronic literature search supplemented by citation searching was conducted on February 2017 of the Web of Science, PubMed, and Scopus databases, yielding a total of 492 references. Upon eliminating duplicates and applying inclusion and e

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Boontarig, Waransanang, Borworn Papasratorn, and Wichian Chutimaskul. "The Unified Model for Acceptance and Use of Health Information on Online Social Networks." International Journal of E-Health and Medical Communications 7, no. 1 (2016): 31–47. http://dx.doi.org/10.4018/ijehmc.2016010102.

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Online social networks provide a novel opportunity to improve public health through effective health information dissemination. Developing a dissemination strategy, however, requires an understanding of individuals' beliefs and attitudes about using both the technology and information. Previous research has focused primarily on either technology adoption or information adoption behaviors. This study aims to bridge the gap by developing a unified model of acceptance and use of information technology for predicting intention to use health information through online social networks. Empirical res

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Ljubicic, Vladimir, Panayiotis H. Ketikidis, and Lambros Lazuras. "Drivers of intentions to use healthcare information systems among health and care professionals." Health Informatics Journal 26, no. 1 (2018): 56–71. http://dx.doi.org/10.1177/1460458218813629.

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Although investment in healthcare technology is rapidly increasing, the readiness to use emerging technologies among healthcare professionals is still low. The present study relies on an integrated model derived from the unified theory of acceptance and use of technology and the diffusion of innovation model to assess the factors that predicted healthcare professionals’ intentions to use healthcare information systems. Using a cross-sectional correlational design, 105 healthcare professionals (M age = 41.06, standard deviation = 9.18; 49% consultants and General Practitioners (GPs); 56.2% fema

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Pedersen, P. E., T. Gundersen, O. Hejlesen, and R. Fensli. "Sensor Acceptance Model – Measuring Patient Acceptance of Wearable Sensors." Methods of Information in Medicine 47, no. 01 (2008): 89–95. http://dx.doi.org/10.3414/me9106.

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Summary Objectives: This project focuses on how patients respond to wearable biomedical sensors, since patient acceptance of this type of monitoring technology is essential for enhancing the quality of the data being measured. There is a lack of validated questionnaires measuring patient acceptance of telemedical solutions, and little information is known of how patients evaluate the use of wearable sensors. Methods: In information systems research, surveys are commonly used to evaluate the user satisfaction of software programs. Based on this tradition and adding measures of patient satisfact

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Devkota, Bijita, Fernando Montalvo, Daniel S. McConnell, and Janan A. Smither. "Combined Model of Technology Use and Medical Adherence in eHealth Technology Implementation." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 65, no. 1 (2021): 776–80. http://dx.doi.org/10.1177/1071181321651295.

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eHealth applications are expected to improve the effectiveness and efficiency of healthcare systems by providing improved medical information flow between medical providers and patients. Although the technology is expected to empower patients, lower treatment costs, and provide real-time collection of health data, individuals may be apprehensive about the use and efficacy of eHealth technologies. Medical professionals are often unaware of human factors technology acceptance or usability models which impact the use of medically focused technology, such as eHealth applications. Similarly, human

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Kimberly, W. Bartholomew. "Technology Acceptance of Patient Portals by Providers and Medical Staff: A Case Study." Journal of Information Sciences and Computing Technologies 6, no. 1 (2017): 577–81. https://doi.org/10.5281/zenodo.3968403.

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With the passing of the Affordable Care Act in the United States in 2010, electronic health records, including patient portals, were integrated into most medical practices with the hope that these systems would help to better manage and secure healthcare information. The shift over time from paper-based medical processes to electronic health records could help provide patients greater access to their Protected Health Information. A digital divide can occur in medical practices where only some patients have access to their health information. This case study involved physician-managed ambulator

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Jaradat, Mohammed Issa Riad Mousa, Ziad Moh', and d. Ali Smadi. "Applying the technology acceptance model to the introduction of mobile healthcare information systems." International Journal of Behavioural and Healthcare Research 4, no. 2 (2013): 123. http://dx.doi.org/10.1504/ijbhr.2013.057363.

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Amali, Lanto Ningrayati, Muhammad Rifai Katili, Sitti Suhada, Lillyan Hadjaratie, and Hanifah Mardlatillah. "Technology Acceptance Model in Government Context: A Systematic Review on the Implementation of IT Governance in a Government Institution." Jurnal Online Informatika 7, no. 1 (2022): 80. http://dx.doi.org/10.15575/join.v7i1.853.

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Recent trends of studies on technology acceptance in local government had recently been popular; the studies focused on identifying the predictors of human behavior in potential acceptance or rejection of technology. This study investigated the use of information technology/information system (henceforth, IT/IS) acceptance in government as a means to improve the quality of public service and strive for transparent governance. A mixed-methods (quantitative and qualitative) study was conducted, and data were collected through questionnaires involving 125 respondents, interviews, and observations

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Emaeilzadeh, Pouyan, Murali Sambasivan, and Hossein Nezakati. "The Limitations of Using the Existing TAM in Adoption of Clinical Decision Support System in Hospitals." International Journal of Research in Business and Social Science (2147-4478) 3, no. 2 (2014): 56–68. http://dx.doi.org/10.20525/ijrbs.v3i2.98.

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The technology acceptance model (TAM) has been widely used to study user acceptance of new computer technologies. Previous studies claimed that future technology acceptance research should explore other additional explanatory variables, which may affect the originally proposed constructs of the TAM. The use of information technology in the health care sector and especially in hospitals offers great potential for improving the performance of physicians, increasing the quality of services and also reducing the organizational expenses. However, the main challenge that arises according to the lite

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Schretzlmaier, Patrik, Achim Hecker, and Elske Ammenwerth. "Extension of the Unified Theory of Acceptance and Use of Technology 2 model for predicting mHealth acceptance using diabetes as an example: a cross-sectional validation study." BMJ Health & Care Informatics Online 29, no. 1 (2022): e100640. http://dx.doi.org/10.1136/bmjhci-2022-100640.

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ObjectivesMobile health applications are instrumental in the self-management of chronic diseases like diabetes. Technology acceptance models such as Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) have proven essential for predicting the acceptance of information technology. However, earlier research has found that the constructs “perceived disease threat” and “trust” should be added to UTAUT2 in the mHealth acceptance context. This study aims to evaluate the extended UTAUT2 model for predicting mHealth acceptance, represented by behavioral intention, using mobile diabetes applic

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Wahyu Astani, Ni Made Mira, Ni Luh Putu Arum Puspitaning Ati, and Ernawaty Ernawaty. "ANALYSIS OF ACCEPTANCE OF E-HEALTH APPLICATION BY USERS IN PRIMARY HEALTHCARE CENTER IN SURABAYA CITY." Indonesian Journal of Public Health 16, no. 1 (2021): 66. http://dx.doi.org/10.20473/ijph.v16i1.2021.66-78.

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This study used the observational quantitative method to analyze the acceptance of information technology in the form of thee-Health. The theory of acceptance was further analyzed using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. UTAUT model is the latest unified model that is an appropriate to explain the acceptance and use of information systems. The research objective was to analyze perceptions of the use of e-Health applications in the Surabaya City Health Center. The research design method used was cross-sectional design. The selected samples of 100 people were d

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Sholihah, Siti Ma'rufatus, Aang Subiyakto, Suci Ratnawati, and Miftakhul Nuuril Azizah. "Qualitative Evaluation of User Acceptance Readiness to the Implementation of the Health Center Management Information System (SIMPUS) at the South Tangerang City Health Center." Applied Information System and Management (AISM) 5, no. 1 (2022): 1–6. http://dx.doi.org/10.15408/aism.v5i1.10589.

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The success of implementing an Information System (IS) depends on how the system is run by its users. User readiness plays an essential role in ensuring the successful implementation of new technology or system. To improve the quality of health services, the South Tangerang City Health Center has implemented the Health Center Management Information System (SIMPUS), but it is not following its objectives. The implementation of SIMPUS further hampers the smooth running of health services and the performance of the Puskesmas. This study aims to understand the level of user acceptance of SIMPUS im

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Widianto, Heru, Ahmad R. Pratama, and Rahadian Kurniawan. "Analisis Faktor Penerimaan Media Internet sebagai Sumber Informasi Kesehatan dengan Model UTAUT dan HBM." JURNAL MEDIA INFORMATIKA BUDIDARMA 5, no. 4 (2021): 1470. http://dx.doi.org/10.30865/mib.v5i4.3292.

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People are increasingly turning to the internet for health-related information. It is very easy to perform or obtain health-related services or information on the internet using different types of devices. This study's goal is to assess public acceptance of the internet as a source of health information by combining the Unified Theory of Acceptance and Use of Technology (UTAUT) with the Health Belief Model (HBM). SEM techniques were used to analyze data collected from 324 respondents via online questionnaires. Two factors from the HBM model: self efficacy (SE) and cues to action (CA) were foun

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Al-Sulimani, Tagreed Sadeek, and Waad Bouaguel. "Understanding Factors Influencing Diabetic Patients’ Intention to Use Digital Health Services in Saudi Arabia Using the Technology Acceptance Model." International Journal of Environmental Research and Public Health 21, no. 7 (2024): 889. http://dx.doi.org/10.3390/ijerph21070889.

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This study employs the Technology Acceptance Model to investigate the factors influencing Saudi Arabian diabetic patients’ intention to use digital health services. There is an urgent need to investigate the possibilities of digital health services in managing diabetes given the startlingly rapidly increasing prevalence rate of diabetes in KSA. The study examines the variables affecting patients’ acceptance and desire to use digital health tools to manage their diabetes. The study employs the Technology Acceptance Model to ascertain the crucial factors that impact patients’ opinions regarding

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rani, Mrs Annavarapu Usha, and Dr Jacqueline Williams. "REVIEW ARTICLE ON THE BARRIERS IN HEALTH CARE INFORMATION TECHNOLOGY ADOPTION." RESEARCH RESERVOIR 8, no. 1 (2022): 83–86. https://doi.org/10.47211/trr.2022.v08i01.020.

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Research history on the adoption of information technology has a history of more than 30 years. During this period, different theoretical models have been designed and implemented to evaluate an individual’s adoption of new technology. TAM is one of these approaches. In ongoing many years, a few models have been proposed in the area of innovation acknowledgment. Among these models are the "Assignment Technology Fit (TTF) model," the "Innovation Acceptance Model (TAM)," and the "Bound together Theory of UTAUT model." IT speculations to foresee the reaction of end-clients in IT are vital. As far

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Francis, Rita P. "Examining Healthcare Providers' Acceptance of Data From Patient Self-Monitoring Devices Using Structural Equation Modeling With the UTAUT2 Model." International Journal of Healthcare Information Systems and Informatics 14, no. 1 (2019): 44–60. http://dx.doi.org/10.4018/ijhisi.2019010104.

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As wide-scale adoption by the market and consumers of ubiquitous devices or mobile apps that track fitness, sleep, nutrition, and basic metabolic parameters increases, it is vital to understand the attitudes of healthcare providers toward these devices. No researcher has previously examined how constructs related to technology acceptance have impacted healthcare providers' behavioral intention for self-monitoring devices (SMD). This was a quantitative, non-experimental study to examine SMD acceptance, intent to use, and other factors important to physicians regarding SMD. Statistical analysis

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Lestari, Isni Puji, Risqa Rina Darwita, and Febriana Setiawati. "HUBUNGAN ANTARA FAKTOR DETERMINAN UTAUT DENGAN MINAT DOKTER GIGI TERHADAP PENGGUNAAN TELEDENTISTRY: STUDI PILOT." Cakradonya Dental Journal 15, no. 1 (2023): 23–31. http://dx.doi.org/10.24815/cdj.v15i1.27717.

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The development of Information and Communication Technology (ICT) in the health sector is growing with the existence of teledentistry. This revolution in fact has triggered problems in terms of acceptance of ICT adoption which is still low for both patients, health practitioners and health care providers. Approaches based on behavioral theories are widely used to assess ICT acceptance. The purpose of this article is to explain the concepts and determinants of Unified Theory of Acceptance and Use of Technology (UTAUT) model that can predict the behavioral intention in using teledentistry. This

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