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Journal articles on the topic 'Patient Acceptance of Healthcare'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Gitika, Vyas, and Muzumdar Prathamesh. "Healthcare patient portal usage: Benefits, issues, and challenges." World Journal of Advanced Research and Reviews 16, no. 3 (2022): 807–11. https://doi.org/10.5281/zenodo.7903771.

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The world is on the verge of rapid technological advancements, and acceptance. Healthcare is also influenced by recent innovations such as medical imaging and electronic patient health records. Thus, to maintain the patient's record in this digital era giant healthcare providers are adopting internet-based services such as patient portals that are portraying great results for patient involvement in this mechanism.  However, it has been observed that patients, physicians, and healthcare providers are facing certain challenges to synch the health information cycle among them. Therefore,

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2

Pasyar, Nilofar, Masoume Rambod, Alireza Zare, and Mohammad Hossein Nikoo. "The Predictor Roles of Spiritual Well-Being, Healthcare Professionals’ Support and Shock Anxiety in Implantable Cardioverter-Defibrillator Device Acceptance." Malaysian Journal of Medical Sciences 29, no. 3 (2022): 80–89. http://dx.doi.org/10.21315/mjms2022.29.3.8.

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Background: Acceptance of the implantable cardioverter-defibrillator (ICD) device may be affected by a variety of factors. This study aimed to investigate the predictor roles of spiritual well- being, healthcare professionals’ support and shock anxiety in accepting ICD. Methods: This cross-sectional study was conducted on 100 patients with ICD. The data were collected by the Florida Patient Acceptance Scale, Florida Shock Anxiety Scale, Spiritual Well-Being Scale and Healthcare Professionals’ Support Questionnaire. Results: The mean (SD) scores of patient acceptance, shock anxiety, spiritual w

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Khan, Ihsan Ullah, Urva Rehman, Sidra Hanif, et al. "PATIENT PERSPECTIVES ON THE USE OF AI IN MEDICAL DECISION-MAKING – EXPLORING PATIENT TRUST AND ACCEPTANCE OF AI-DRIVEN HEALTHCARE SERVICES- QUALITATIVE STUDIE." Insights-Journal of Health and Rehabilitation 3, no. 3 (Health & Allied) (2025): 416–22. https://doi.org/10.71000/e5q9ey91.

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Background: As artificial intelligence (AI) becomes increasingly integrated into healthcare, patient perspectives on trust and acceptance are critical to its successful implementation. Despite technological advancements, there remains limited qualitative insight into how patients evaluate and respond to AI-driven medical decision-making systems, particularly in non-Western settings. Objective: To explore patient trust and acceptance of AI-driven healthcare services within the sociocultural and clinical context of Islamabad, Pakistan. Methods: A qualitative study design was employed, utilizing

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Gitika Vyas and Prathamesh Muzumdar. "Healthcare patient portal usage: Benefits, issues, and challenges." World Journal of Advanced Research and Reviews 16, no. 3 (2022): 807–11. http://dx.doi.org/10.30574/wjarr.2022.16.3.1405.

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The world is on the verge of rapid technological advancements, and acceptance. Healthcare is also influenced by recent innovations such as medical imaging and electronic patient health records. Thus, to maintain the patient's record in this digital era giant healthcare providers are adopting internet-based services such as patient portals that are portraying great results for patient involvement in this mechanism. However, it has been observed that patients, physicians, and healthcare providers are facing certain challenges to synch the health information cycle among them. Therefore, the focus

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Rastogi, Sameer, Sudhansu Sekhar Patra, and Nayana Borah. "Investigating Healthcare Professionals’ Acceptance of Cloud Health Technologies in Rural Healthcare Centers." Seminars in Medical Writing and Education 2 (December 30, 2023): 136. https://doi.org/10.56294/mw2023136.

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Cloud health technologies have the potential to enhance healthcare accessibility and service efficiency, particularly in rural areas where medical resources are limited. These technologies enable remote consultations, digital patient records, and real-time data exchange, improving decision-making and patient outcomes. It investigates healthcare professionals' acceptance of cloud health technologies in rural healthcare centers by examining key determinants influencing adoption. A cross-sectional survey was conducted among 320 healthcare professionals selected from various rural hospitals. A str

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Al Zoubi, Mohammad Ahmmad Mahmoud. "Enhancing Patients' Health Outcomes through Telehealth and Remote Monitoring: Exploring Influential Factors on Patient Perception and Acceptance." International Journal of Multidisciplinary Comprehensive Research 1, no. 1 (2022): 33–42. https://doi.org/10.54660/ijmcr.2022.1.1.33-42.

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Telehealth and remote monitoring have revolutionized healthcare delivery by providing continuous, real-time patient care beyond traditional clinical settings. These technologies improve access to healthcare services, enhance chronic disease management, and reduce hospitalizations, ultimately contributing to better health outcomes. However, the success of telehealth relies significantly on patient perception and acceptance, which are influenced by multiple factors. This review explores the key determinants that shape patients' willingness to adopt telehealth and remote monitoring solutions, inc

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Fors, Uno G. H., and Olivier Courteille. "Learner Acceptance of Using Virtual Patient Encounters to Train Foreign Healthcare Professionals in Swedish." International Journal of Virtual and Personal Learning Environments 5, no. 3 (2014): 18–32. http://dx.doi.org/10.4018/ijvple.2014070102.

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Healthcare professionals need good communication skills to be able to communicate with patients. In such provider-patient communication, the professional needs to be well understood by the patient, but also be able to understand subtle parts of a medical history taking dialogue with worried, sick or mentally affected patients. Virtual Patients (VPs) – learning environments that simulate encounters between a patient and a physician – were used to prepare 26 immigrating professionals in Swedish for healthcare practitioners. The professionals were speaking nine different foreign languages and use

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Pantea, Ileana, Nadinne Roman, Angela Repanovici, and Daniela Drugus. "Diabetes Patients’ Acceptance of Injectable Treatment, a Scientometric Analysis." Life 12, no. 12 (2022): 2055. http://dx.doi.org/10.3390/life12122055.

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Diabetes is a condition associated with multiple systemic secondary risk factors, besides pancreatic dysfunctions, affecting the population worldwide and with high costs impacting the healthcare systems. This paper aims to identify the major issues in patients’ adherence to injectable diabetes treatment. After the interrogation of the Web of Science database, a scientometric map was generated, from which six directions of approach were identified as essential factors influencing the patient’s adherence. These directions yielded clusters of related articles. Glycemic control with the endocrinol

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Serrano, Christina I., and Elena Karahanna. "An Exploratory Study of Patient Acceptance of Walk-In Telemedicine Services for Minor Conditions." International Journal of Healthcare Information Systems and Informatics 4, no. 4 (2009): 37–56. http://dx.doi.org/10.4018/jhisi.2009071003.

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Though healthcare costs continue to soar, the healthcare industry lags other service industries in applying information technology to improve customer (i.e., patient) service, improve access to healthcare services, and reduce costs. One particular area of concern is overuse and overcrowding of emergency departments for nonurgent care. Telemedicine is one potentially important application of information technology in this realm. The objective of this study is to examine the antecedents of patient acceptance of walk-in telemedicine services for minor ailments. Drawing upon theoretical models in

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Jeevarekha, B., and P. Shobana. "AI- Powered Patient Engagement: Transforming Healthcare through Personalized Marketing in Coimbatore District." ComFin Research 13, S1-i2 (2025): 127–30. https://doi.org/10.34293/commerce.v13is1-i2.8749.

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This study explores the impact of AI-Powered patient engagement on healthcare outcomes, patient satisfaction, and loyalty. Patient engagement is a critical component of effective healthcare, but traditional engagement strategies often fall short. Leveraging personalized marketing strategies, this research investigation how AI-driven patient engagement can transform the healthcare industry. It enabling healthcare organizations to modify interactions to every single patient’s needs, preferences, and behavior. Ensuring acceptance with regulatory requirements, such as HIPAA, is essential for AI-po

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Ma, Yanbo, Zheng Li, Kaiyue Liu, and Zhengmin Liu. "Price Decision-Making in Dual-Channel Healthcare Services Supply Chain Considering the Channel Acceptance, Price Ceiling,and Public Welfare." International Journal of Environmental Research and Public Health 19, no. 20 (2022): 13028. http://dx.doi.org/10.3390/ijerph192013028.

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Given that an increasing number of online healthcare channels play an essential role as a supply method in the healthcare service supply chain (HSSC), this paper studies the price decision-making problem for a dual-channel HSSC considering the channel acceptance, price ceiling, and public welfare. In this HSSC, a healthcare institution establishes both a traditional offline channel and an online channel to provide healthcare services for some health conditions. Considering the public welfare of healthcare institutions, we employ a sum formula of economic revenue and patient surplus to describe

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Santos Teles, Marco, Karolina Łucja Bryl, Susan Chimonas, et al. "The role of healthcare system distrust in shaping patients’ attitudes and beliefs of artificial intelligence (AI) use in oncology." Journal of Clinical Oncology 43, no. 16_suppl (2025): 1574. https://doi.org/10.1200/jco.2025.43.16_suppl.1574.

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1574 Background: AI offers significant potential to improve cancer care, yet little is known about patients’ attitudes and beliefs around its use and which factors influence acceptance of this new technology. Distrust in healthcare is increasingly prevalent and may hinder patient perceptions of innovations such as AI. This study aimed to evaluate the relationship between healthcare system distrust and acceptance of AI in oncology. Methods: We conducted a cross-sectional survey study with patients at an urban academic cancer center. We developed an 8-item AI Patient Acceptance scale, where pati

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Racz, Aleksandar, Tomislav Rukavina, Vanja Vasiljev, Andrea Armano, and Ljerka Armano. "Integration of complementary and alternative medicine into the healthcare and educational system: Perspectives of healthcare professionals and oncology patients." International Journal of Innovative Research and Scientific Studies 8, no. 2 (2025): 1070–85. https://doi.org/10.53894/ijirss.v8i2.5407.

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This study examines the attitudes of healthcare professionals and oncology patients toward integrating complementary and alternative medicine (CAM) into healthcare and education. The aim is to identify differences in perception, acceptance, and interest in CAM education, as well as key challenges and opportunities for its implementation in Croatia. Methods: A cross-sectional study was conducted with 832 respondents (411 patients and 421 healthcare professionals). Standardized questionnaires assessed attitudes, acceptance levels, and the need for further education. Differences between patients

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Tahseen, Shazma, Husan Bano Channar, Urooj Bhatti, Tasleem Akhtar Laghari, Sana Areej, and Shah Muhammad Kamran. "Unveiling Healthcare Practitioners' Knowledge and Acceptance of Artificial Intelligence in Healthcare." Journal of Health and Rehabilitation Research 4, no. 2 (2024): 859–64. http://dx.doi.org/10.61919/jhrr.v4i2.889.

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Background: The rapid advancement of artificial intelligence (AI) is poised to revolutionize healthcare delivery systems profoundly. With its capacity to enhance diagnostics, treatment, and patient care, understanding AI's role and integration in healthcare is crucial for medical professionals and students. Objective: This study aims to assess the familiarity, knowledge, and comprehension of AI among medical students and physicians, identifying both challenges and opportunities associated with its use in medicine. Methods: A structured questionnaire, adapted from established scales, was used t

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Suayan, Maria Angelyne. "The Persuasive Appeal of Provider-Patient Interaction in the Acceptance of COVID-19 Vaccine at a Health Service Unit in Isabela." Journal of Interdisciplinary Perspectives 2, no. 5 (2024): 106–16. https://doi.org/10.5281/zenodo.10930669.

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<strong>Abstract. </strong>The study examined the persuasive appeal of provider-patient interactions in a health service unit in Isabela, focusing on vaccine acceptance. Using the Aristotle Rhetoric triangle framework, it analyzed the effectiveness of Logos, Pathos, and Ethos in influencing vaccine acceptance across different demographic groups. A mixed-methods descriptive design was employed, with quantitative data collected through surveys and qualitative data through focus interviews. The findings indicate that vaccine acceptance and hesitancy are complex and influenced by various fact

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Rudawska, Iga, Katarzyna Krot, and Małgorzata Porada-Rochoń. "Unveiling the nexus of technology acceptance in healthcare: Empirical exploration of the multifaceted drivers." Human Technology 20, no. 1 (2024): 114–30. http://dx.doi.org/10.14254/1795-6889.2024.20-1.6.

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In the rapidly evolving landscape of healthcare, the integration of cutting-edge technologies has become pivotal for enhancing patient care, optimizing operational efficiency, and driving overall advancements in the field. However, the successful adoption of these technologies hinges upon the acceptance and utilization by healthcare stakeholders, particularly patients. Unraveling the complexities of technology acceptance in the healthcare domain necessitates a nuanced understanding of the underlying factors that shape individuals' attitudes and behaviors towards technology. This paper aims to

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Qureshi, Mahmooda, Steven M. Gordon, Belinda Yen-Lieberman, and David G. Litaker. "Controlling Varicella in the Healthcare Setting: Barriers to Varicella Vaccination Among Healthcare Workers." Infection Control & Hospital Epidemiology 20, no. 7 (1999): 516–18. http://dx.doi.org/10.1086/501663.

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AbstractWe surveyed healthcare workers to determine factors that may influence acceptance of varicella-zoster virus vaccine. Of 2,801 workers tested, 90 were susceptible to varicella; of workers offered vaccination, 68% accepted. Workers providing direct patient care were 3.7-fold more likely than other workers to accept VZV vaccination (P=.04).

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Almojaibel, Abdullah A. "Development and Validation of the Saudi Telehealth Acceptance Scale Based on the Unified Theory of Acceptance and Use of Technology." Saudi Journal of Medicine & Medical Sciences 12, no. 3 (2024): 236–43. http://dx.doi.org/10.4103/sjmms.sjmms_358_23.

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Background: Telehealth is in early stages in the Kingdom of Saudi Arabia (KSA). Identifying barriers to using telehealth is an essential step prior to its implementation; however, no theoretically based scales exist for the same purpose. Objective: To design a theory-based scale capable of measuring telehealth users’ perceptions of benefits, barriers, and social influence in the KSA. Methods: The Saudi Telehealth Acceptance Scale (STAS) was constructed based on the Unified Theory of Acceptance and Use of Technology and its content validity was determined by eight experts using the modified Del

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Rahmawati, Nahardian Vica, Nihayatul Munaa, and Faizatul Ummah. "Lean Healthcare Implementation: How is The Employee’s Acceptance?" BIO Web of Conferences 54 (2022): 00020. http://dx.doi.org/10.1051/bioconf/20225400020.

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Lean healthcare is a new concept in hospital management that not only focus on patient value but also efficiency. This study aimed to understand how far the employees bring lean healthcare implementation in to their daily work. Lean healthcare phylosophy tend to built a lean culture. This study used a descriptive qualitative study design with lean team in several unit in Panti Rapih Hospital. This study adopted an instrument of Lean in Healthcare Quistionaire which measure four domain principal of lean, they are pylosophy, process, people and partner, and problem solving. Result of this study

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Stoumpos, Angelos I., Fotis Kitsios, and Michael A. Talias. "Digital Transformation in Healthcare: Technology Acceptance and Its Applications." International Journal of Environmental Research and Public Health 20, no. 4 (2023): 3407. http://dx.doi.org/10.3390/ijerph20043407.

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Technological innovation has become an integral aspect of our daily life, such as wearable and information technology, virtual reality and the Internet of Things which have contributed to transforming healthcare business and operations. Patients will now have a broader range and more mindful healthcare choices and experience a new era of healthcare with a patient-centric culture. Digital transformation determines personal and institutional health care. This paper aims to analyse the changes taking place in the field of healthcare due to digital transformation. For this purpose, a systematic bi

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E Sobaih, Abu Elnasr, Asma Chaibi, Zeineb Al Hadi Nagara, and Ibrahim A. Elshaer. "Patient-centered insights: Unraveling the drivers of AI acceptance in healthcare." International Journal of Innovative Research and Scientific Studies 8, no. 2 (2025): 103–12. https://doi.org/10.53894/ijirss.v8i2.5129.

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The research study delved into the nuanced human aspect of artificial intelligence (AI) in health care, focusing on what is fundamentally important to patients in accepting this radical technology. With patients at the center of the research, it explored how social influence, individual backup choices, and trust influence the acceptance of AI healthcare services. The survey, which used 450 participants, tested Structural Equation Modeling (SEM) using AMOS and found the powerful role of such factors. Social influence (what do others think or say about AI) comes out strongly to shape patients’ p

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Chaibi, Asma, Riadh Brini, Ichraf Ben Flah, and Abu Elnasr E. Sobaih. "Understanding AI Acceptance in Healthcare: A Mixed-Method Study on Trialability and Doctor-Patient Relationships." Journal of Posthumanism 5, no. 1 (2025): 89–118. https://doi.org/10.63332/joph.v5i1.486.

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The implementation of artificial intelligence is transforming healthcare practices by its ability to improve its practices. However, despite the benefits, its widespread acceptance remains a challenge. This study aims to advance the understanding of the key antecedents of AI acceptance by patients, using an extension of the TAM by incorporating trialability and doctor-patient relationships. A sequential mixed-method approach was employed, beginning with semi-structured interviews to identify adaptable factors in healthcare and then a survey to validate the qualitative findings through Structur

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Jeong, Chung Hyeon, and BoRin Kim. "NAVIGATING THE DIGITAL DIVIDE: FACTORS INFLUENCING PATIENT PORTAL ADOPTION BY OLDER ADULTS DURING THE PANDEMIC." Innovation in Aging 7, Supplement_1 (2023): 1086. http://dx.doi.org/10.1093/geroni/igad104.3489.

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Abstract The pandemic rapidly accelerated the adoption of digital healthcare technologies, including patient portals. The patient portals enhance patient-provider communication, streamline medical records management, and provides tailored education materials. Nevertheless, older patients, known as heavy healthcare users, often encounter challenges when adopting patient portals. This digital divide could lead to worsening health and healthcare disparities. Guided by the Senior Technology Acceptance and Adoption Model (STAM), this study explored the factors influencing the adoption of patient po

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Rai, Pawan. "Integrating Blockchain Technology in Healthcare: Enhancing Data Security and Protecting Patient Privacy." Journal of Scientific Advances 1, no. 01 (2025): 43–52. https://doi.org/10.63665/jsa.v1i1.05.

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Blockchain technology has emerged as a transformative solution in the healthcare sector, offering robust mechanisms to enhance data security and protect patient privacy. This paper explores the potential of blockchain to address critical challenges related to data management in healthcare, such as interoperability, data integrity, and unauthorized access. The study analyzes the applications of blockchain in various healthcare contexts, including electronic health records (EHRs), clinical trials, and supply chain management. Results indicate that blockchain technology can significantly improve

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Kouroubali, Angelina, Lefteris Koumakis, Haridimos Kondylakis, and Dimitrios G. Katehakis. "Smart Healthcare Apps for Quality Cancer Patient Support." International Journal of Big Data and Analytics in Healthcare 5, no. 1 (2020): 28–48. http://dx.doi.org/10.4018/ijbdah.2020010103.

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This paper analyzes the clinical and technological characteristics of cancer mobile apps that enable patients to securely record, manage, and share their information. It proposes an integrated approach towards developing quality mobile health apps for cancer and discusses issues relevant to the enhancement of patient experience and acceptance, adherence to treatment, and effective support of coordinated care. Regulation, standardization, and interoperability together with the existence of useful, accurate, and reliable tools for active patient engagement are important aids towards efficient ca

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Mathew, Joshy, Akansha Mer, and Vimlesh Tanwar. "Healthcare Customers’ Intention to Adopt AI Technologies: A Systematic Literature Review and Future Research Directions." International Research Journal of Multidisciplinary Scope 05, no. 04 (2024): 224–41. http://dx.doi.org/10.47857/irjms.2024.05i04.01507.

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This systematic literature review (SLR) explores the factors determining healthcare customers' intention to adopt artificial intelligence (AI) technologies. Various established theoretical frameworks such as TAM, TAM, UTAUT, BRT, and BHM and their predictors are analysed to comprehend the readiness of healthcare customers to embrace AI-powered technologies in their daily lives. Adhering to PRISMA guidelines, twenty-two studies from diverse databases were meticulously reviewed and synthesised to comprehensively evaluate the determinants influencing the acceptance of AI technologies in healthcar

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Langer, Ferdinand, Korinna Welte, Jette Widmer, Peter Schmid, Thomas Maier, and Michael Trick. "Advancement and evaluation of a medical organization device." Current Directions in Biomedical Engineering 10, no. 4 (2024): 408–11. https://doi.org/10.1515/cdbme-2024-2100.

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Abstract In anaesthesia and intensive care medicine, managing the multitude of signal and substance lines connected to patients presents challenges, risking dislocations, incorrect treatment, and increased workload for healthcare professionals. Existing solutions for signal and substance line management have seen limited acceptance, lacking universality and flexibility. Addressing these challanges, the “intelligent Medical Organization Device” (iMOD) was developed as a modular tool. iMOD, evaluated through simulator training, demonstrated positive results in intuitiveness and acceptance. Feedb

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Janvi, Kalra, Dhawan Pankaj, Rani Sapna, and Saxena Vidushi. "A Cross-Sectional Study to Analyse Patients' Decision-Making Variables for Prosthodontic Treatment." Indian Journal of Science and Technology 17, no. 23 (2024): 2381–89. https://doi.org/10.17485/IJST/v17i23.423.

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Abstract <strong>Objectives:</strong> The patient's attitude, appropriate treatment planning, and decision-making are necessary to fabricate dental prostheses. This study aimed to evaluate the factors influencing patients' decision-making, patient expectations, and approval of the suggested treatment strategy regarding prosthodontic treatment by the population in the Faridabad region. <strong>Methods:</strong> A cross-sectional survey was carried out amongst 143 patients in the Department of Prosthodontics at Manav Rachna Dental College, Faridabad, over one month to determine pa

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Salah Salem Alamri. "Health Data Managers' Perceptions and Acceptance of Health Management Information Systems." Power System Technology 47, no. 4 (2023): 912–27. https://doi.org/10.52783/pst.1599.

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Health Management Information Systems (HMIS) are comprehensive systems designed to automate and streamline healthcare operations. These systems store, process, retrieve, and transmit information and thus facilitate better management of healthcare processes. Health data managers play an essential role in overseeing patient data in hospital settings. Their main responsibilities include maintaining, retrieving, analyzing, and securing patient records. Management of records is critical as it directly relates to patient care and plays a crucial role in decision-making processes. The task of the hea

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Onyeachu, Precious, and Malcolm Clarke. "A Patient Technology Acceptance Model (PTAM) for Adoption of Telehealth." Digital Medicine and Health Technology 2022 (March 28, 2022): 1–19. http://dx.doi.org/10.5772/dmht.02.

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Population aging is a global phenomenon, with the proportion of the population over the age of 60 increasingly rapidly. It is essential to gain an understanding of the factors that influence acceptance of technologies when they are introduced as part of the monitoring and management of clinical conditions. This study undertakes semi-structured interviews of elderly patients being monitored for Chronic Obstructive Pulmonary Disease (COPD), Congestive Heart Failure (CHF) or diabetes to determine the factors they deemed most important for acceptance of the technology. 18 women and 12 men with age

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Koh, Woon-Puay, Wai-Yee Ng, Joachim Wen-Kien Yau, et al. "Acceptance of Information and Communication Technologies for Healthcare Delivery: A SingHealth Polyclinics Study." Annals of the Academy of Medicine, Singapore 38, no. 6 (2009): 529–36. http://dx.doi.org/10.47102/annals-acadmedsg.v38n6p529.

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Objective: This study aimed to determine the prevalence of short message system (SMS) and internet usage in patients visiting the SingHealth Polyclinics and to measure patients’ acceptance of using these technologies in healthcare delivery. Materials and Methods: A representative sample of patients visiting the 9 SingHealth Polyclinics were interviewed in-person by trained medical students. Collected information included demographic characteristics, access to and usage of mobile phone/SMS and internet, as well as acceptance and concerns on using these technologies in primary healthcare deliver

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Hughes, Stephen, and Christopher Seenan. "Community paramedicine home visits: patient perceptions and experiences." Journal of Paramedic Practice 13, no. 6 (2021): 248–57. http://dx.doi.org/10.12968/jpar.2021.13.6.248.

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Background: Community paramedicine (CP) is an emerging model of community-based healthcare delivered around the world by paramedics with additional skills, education and training. There is a lack of qualitative research on patient perceptions and experiences of this phenomenon. Aims: The study aimed to explore patient perceptions and experiences of CP home visits delivered by specialist paramedics (SPs) in a Scottish urban general practice home-visit setting. Patient acceptance and CP primary-care strategic value were examined. Methods: An explorative qualitative study using purposive sampling

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Mustofa, Syaiful. "SMALL BUSINESS MANAGEMENT: THE KEY TO SUCCESS– A STUDY ON ERFANET INTERNET TECHNICAL SERVICES." Proceeding of International Conference on Social Science and Humanity 2, no. 1 (2025): 773–77. https://doi.org/10.61796/icossh.v2i1.223.

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Objective: This study investigates the application of the Technology Acceptance Model (TAM) in adopting Hospital Information Management Systems (HIMS) and related healthcare technologies from 2020 to 2025. Method: Through a systematic literature review, 20 studies were analyzed to identify key factors influencing HIMS adoption, barriers, facilitators, and their impact on healthcare service quality and patient satisfaction. Results: Perceived usefulness (PU) and perceived ease of use (PEOU) consistently emerged as critical determinants of acceptance, underscoring the importance of user-friendly

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Carrera, Alessandro, Emanuele Lettieri, Gaia Lietti, Sara Martignoni, Chiara Sgarbossa, and Joseph Cafazzo. "Therapies go digital. What drives physicians’ acceptance?" PLOS ONE 19, no. 5 (2024): e0303302. http://dx.doi.org/10.1371/journal.pone.0303302.

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National healthcare systems face multiple challenges, including the increasing demand for care and decreasing availability of healthcare professionals. Digital health technologies represent opportunities that offer improved efficiency, accessibility, and patient care. In this scenario, Digital Therapeutics are technological advancements to treat or alleviate a disease and deliver a medical intervention with evidence-based therapeutic impacts and regulatory approval. Digital Therapeutics are a paradigm shift for physicians, who exercise caution in terms of trust and wide usage. Digital Therapeu

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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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Zulzilah, Siti, and John R. S. P. K. M. Isa. "Decoding Patient Interactions with AI-Based Virtual Health Assistants." CARAKA : Indonesia Journal of Communication 5, no. 2 (2024): 180–90. https://doi.org/10.25008/caraka.v5i2.173.

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The study examines patient interactions with virtual health assistants based on artificial intelligence in telemedicine applications, analyzing the dynamics and effectiveness of communication. The method used in this study is to use literature studies to identify trends, benefits, and challenges in integrating artificial intelligence into patient care. The findings reveal the key trends and benefits and challenges associated with integrating AI into patients' care, provide valuable insights to optimize telemedicine through AI technology, and offer practical implications for healthcare provider

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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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Zippel-Schultz, Bettina, Alexander Palant, Casper Eurlings, et al. "Determinants of acceptance of patients with heart failure and their informal caregivers regarding an interactive decision-making system: a qualitative study." BMJ Open 11, no. 6 (2021): e046160. http://dx.doi.org/10.1136/bmjopen-2020-046160.

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ObjectiveHeart failure is a growing challenge to healthcare systems worldwide. Technological solutions have the potential to improve the health of patients and help to reduce costs. Acceptability is a prerequisite for the use and a successful implementation of new disruptive technologies. This qualitative study aimed to explore determinants that influence the acceptance of patients and their informal caregivers regarding a patient-oriented digital decision-making solution—a doctor-at-home system.DesignWe applied a semistructured design using an interview guide that was based on a theoretical f

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Academic, Journal of International University of Erbil, and Kakarash Zana Azeez. "The Transformative Impact of Artificial Intelligence (AI) on Enhancing Healthcare Systems in the Middle East." Academic Journal of International University of Erbil 01, no. 02 (2025): 1–16. https://doi.org/10.5281/zenodo.15255983.

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This review explores the transformative potential of integrating Artificial Intelligence (AI) technologies in healthcare across the Middle East. The study underscores the substantial benefits AI brings to patient care, exemplified by the deployment of Chabot’s for disseminating critical COVID-19 information during the pandemic, enhancing patient experiences through streamlined access to medical records and online appointments, and the proliferation of health-related mobile applications, thus significantly advancing patient-centered care. However, the review acknowledges the challenges as

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Sung, Joseph. "Artificial intelligence in medicine: Ethical, social and legal perspectives." Annals of the Academy of Medicine, Singapore 52, no. 12 (2023): 695–99. http://dx.doi.org/10.47102/annals-acadmedsg.2023103.

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Artificial intelligence (AI) has permeated into every aspect of medicine and promises to provide accurate diagnosis, better management decision and improved outcome for patients and healthcare system. However, ethical, social and legal issues need to be resolved for successful implementation of AI tools in clinical practice. In order to gain trust and acceptance, AI algorithms should offer maximum explainability and inclusiveness. Robust evidence of benefit to patients and healthcare services has to be provided to gain justification of using these tools. Doctor–patient relationship needs to be

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Cotten, Shelia, Aishah Khan, Catherine Mobley, et al. "ETHICS AND ACCEPTANCE OF AI." Innovation in Aging 8, Supplement_1 (2024): 280. https://doi.org/10.1093/geroni/igae098.0911.

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Abstract Over the past 18 months, artificial intelligence (AI) applications have proliferated and been disseminated across wider audiences than in prior time periods. AI tools are increasingly being used as part of new biomedical devices and may become more integrated into healthcare processes over time. While AI applications may have significant value in healthcare and helping support older adults and individuals across the life course through a variety of mechanisms, if individuals do not perceive these tools as ethical and are not accepting of these new tools, they are likely to fail. Cotte

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Duroseau, Nathalie, Tobi Abramson, Kathleen Pergament, et al. "Acceptance of technology-based tools in a sample of Parkinson’s patients." Chronic Illness 13, no. 1 (2016): 3–13. http://dx.doi.org/10.1177/1742395316653453.

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Objectives Parkinson’s disease is the second most common neurodegenerative movement disorder in the United States. Patients’ opinions of technology-based tools for education and communication as related to Parkinson’s disease are unclear with little documented research addressing the issue. The goal of this research was to investigate patient opinions about technology-based tools with a focus on differences between patients of different age groups. Methods A cross-sectional survey was used to assess views on using multiple different electronic methods for receiving instructions and communicati

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Diaz, Mayte, Anne Havrilla, and Cindi L. Dabney. "Perioperative guidelines for transgender and gender-diverse patients." Nursing 55, no. 6 (2025): 28–35. https://doi.org/10.1097/nsg.0000000000000201.

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Abstract: The healthcare needs of transgender and gender-diverse (TGD) patients, particularly in the perioperative setting, require specialized knowledge and sensitivity. It is estimated there are approximately 25 million people who identify as TGD worldwide, with 1-1.4 million residing in the US. As acceptance and recognition of these patients increase, the likelihood of encountering them in the perioperative setting increases. This article discusses perioperative guidelines for healthcare teams to ensure equitable, respectful, and competent patient-centered care for TGD patients. Key topics

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Manjit Sandhu. "AI-Powered Virtual Health Assistants: Bridging Gaps in Patient Care." Journal of Electrical Systems 20, no. 10s (2024): 2360–67. http://dx.doi.org/10.52783/jes.5583.

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Virtual health assistants (VHAs) are the new generation of patient care that is based on artificial intelligence to enhance the healthcare system. The purpose of this paper is to identify the potential of AI-powered VHAs in addressing the gaps in patient care with a focus on the aspects of access, productivity, and results. Both survey data on the frequency of VHA and the medical condition of patients, as well as interviews with both the providers and patients were employed. Some of the findings include the following; VHAs have led to the improvement in the management of chronic diseases, pati

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Al Kuwaiti, Ahmed, Khalid Nazer, Abdullah Al-Reedy, et al. "A Review of the Role of Artificial Intelligence in Healthcare." Journal of Personalized Medicine 13, no. 6 (2023): 951. http://dx.doi.org/10.3390/jpm13060951.

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Artificial intelligence (AI) applications have transformed healthcare. This study is based on a general literature review uncovering the role of AI in healthcare and focuses on the following key aspects: (i) medical imaging and diagnostics, (ii) virtual patient care, (iii) medical research and drug discovery, (iv) patient engagement and compliance, (v) rehabilitation, and (vi) other administrative applications. The impact of AI is observed in detecting clinical conditions in medical imaging and diagnostic services, controlling the outbreak of coronavirus disease 2019 (COVID-19) with early diag

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Parikh, R. M., and S. Shrivastav. "Service Design Approach to Elevate the Patient Experience during Home X-Rays." Proceedings of the Design Society 2 (May 2022): 1331–40. http://dx.doi.org/10.1017/pds.2022.135.

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AbstractHealthcare services have evolved with advances in science, technology and societal needs. Despite being around for two decades, 'X-ray at Home' has seen limited adoption. Understanding its enablers and disablers can lead to insights to develop an accessible healthcare service ecosystem. Healthcare organisations have adopted design thinking to develop new products but healthcare service design is still in its introductory phase. This qualitative study describes the current state of home X-ray services in Mumbai and proposes touchpoints for raising awareness, acceptance and patient exper

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Mousa Altamimi, Ahmad, Hazem Qattous, Duaa Barakat, and Lubna Hazaimeh. "Factors Influencing Adoption of Blockchain Technology in Jordan: The Perspective of Health Care Professionals." Interdisciplinary Journal of Information, Knowledge, and Management 19 (2024): 012. http://dx.doi.org/10.28945/5287.

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Aim/Purpose: This paper investigates the user acceptability of blockchain technology in the healthcare sector, with a specific focus on healthcare professionals in Jordan. Background: The study seeks to identify the factors that affect healthcare professionals’ use and acceptance of blockchain technology in Jordan. Methodology: The study’s research framework integrates factors from the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). A questionnaire was distributed to collect data from 372 healthcare professionals in Jordan, and the results

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Kee, Jiar Yeo, Hussien Ahmed Al-Ashwal Rania, Handayani Lina, and Hui Lee Shih. "Healthcare receivers' acceptance of telecardiology in Malaysia." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 3 (2019): 1128–35. https://doi.org/10.12928/TELKOMNIKA.v17i3.12212.

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This quantitative study investigates acceptance towards implementation of telecardiology in Malaysia. The purpose of this study is to explore and understand the potential factors that could be the key elements in cultivating positive behaviour towards telecardiology adoption in Malaysia. Data was gathered by using survey method from 149 patients and publics who use internet service in their daily lives. The questionnaire was developed by integrating Technology Readiness Index (TRI), Technology Acceptance Model (TAM) and Theory of Planned Behaviour (TPB) which consists of 42 items. Descriptive

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Thompson, Aleesha, Drianca Naidoo, Eliza Becker, Kevin M. Trentino, Dharjinder Rooprai, and Kenneth Lee. "Remote Monitoring and Virtual Appointments for the Assessment and Management of Depression via the Co-HIVE Model of Care: A Qualitative Descriptive Study of Patient Experiences." Healthcare 12, no. 20 (2024): 2084. http://dx.doi.org/10.3390/healthcare12202084.

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Objective: This qualitative study sought to explore patient experiences with technologies used in the Community Health in a Virtual Environment (Co-HIVE) pilot trial. Technology is becoming increasingly prevalent in mental healthcare, and user acceptance is critical for successful adoption and therefore clinical impact. The Co-HIVE pilot trialled a model of care whereby community-dwelling patients with symptoms of depression utilised virtual appointments and remote monitoring for the assessment and management of their condition, as an adjunct to routine care. Methods: Using a qualitative descr

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Kissi, Jonathan, Baozhen Dai, Courage SK Dogbe, Jonathan Banahene, and Oyeh Ernest. "Predictive factors of physicians’ satisfaction with telemedicine services acceptance." Health Informatics Journal 26, no. 3 (2019): 1866–80. http://dx.doi.org/10.1177/1460458219892162.

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Despite the significant increase in telemedicine services technology, its adoption and use have been quite slow in some healthcare settings. It is generally accepted in today’s globalizing world that the success of telemedicine services relies on users’ satisfaction. Satisfying physicians and patients is one of the crucial objectives of telemedicine success. This study seeks to evaluate physicians’ satisfaction with telemedicine services adoption and utilization using the technology acceptance model. A structured questionnaire based on the construct of technology acceptance model was used to s

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