Table 5. Publications addressing extension and development of TAM.
| Author(s) | Technology studied | Main topic | Years | Sample | Setting/ Incorporated theories and variable with the TAM | Country |
|---|---|---|---|---|---|---|
| Rawstorne et al 83 | Patient care information system | Identifying the relevant issues necessary for applying the technology acceptance model and the theory of planned behavior to the prediction and explanation of mandated IS usage |
2000 | Nurses ( N = 61) |
Hospital/theory of planned behavior (TPB) | Australia |
| Handy et al 84 | Electronic medical records (EMR) | Studying primary care practitioners' views of an electronic medical records (EMR) system for maternity patients | 2001 | Physicians and midwives ( N = 167) | Hospital/ System acceptability, system characteristics, organizational characteristics, individual characteristics | New Zealand |
| Chismar and Sonja 85 | Internet and Internet-based health applications | Testing the extension to a widely used model in the information systems especially Internet in pediatrics | 2002 | Pediatricians ( N = 89) |
Hospital/ the TAM2 theory | United States |
| Liang et al 86 | Personal digital assistants (PDAs) | Predicting TAM to actual PDA usage | 2003 | Health care professionals ( N = 173) | –/ compatibility, support, personal innovativeness, job relevance | United States |
| Liu and Ma 87 | Service-oriented medical records | Extending TAM by embedding perceived service level (PSL) as a causal antecedent for health care workers' willingness to use application service-oriented medical records | 2005 | Health care worker ( N = 79) |
Hospital/ Perceived service level | United States |
| Han et al 43 | Mobile system | Examining acceptance of mobile system among physicians with the aid from mainly TAM, UTAUT and Personal Innovativeness in the Domain of Information Technology (PIIT) models | 2006 | Physicians ( N = 151) |
Health care sector/ gender, experience, age, personal innovativeness, compatibility, social influence | Finland |
| Liu and Ma 88 | Electronic medical records (EMR) | Introducing the notion of perceived system performance (PSP) to extend the TAM |
2006 | Medical professionals ( N = 77) | Hospital/ Perceived system performance | United States |
| Palm et al 89 | Clinical information system (CIS) | Designing an electronic survey instrument from two theoretical models (Delone and McLean, and TAM) to assess the acceptability of an integrated CIS | 2006 | Physicians, nurses, and secretaries ( N = 324) |
Hospital/ Building on the TAM and the DeLone and McLean ISS models | France |
| Kim and Chang 90 | Health information Web sites | Identifying the core functional factors in designing and operating health information Web sites | 2007 | Users ( N = 228) |
Home/ Information search, usage support, customization, purchase, and security | South Korea |
| Wu et al 91 | Mobile health care systems | Examining determines mobile health care systems (MHS) acceptance by health care professionals based on revised TAM | 2007 | Physicians, nurses, and medical technicians ( N = 137) | Hospital/ MHS self-efficacy, technical support and training, compatibility | Taiwan |
| Tung et al 92 | Electronic logistics information system | Nurses' acceptance of the electronic logistics information system with new hybrid TAM | 2008 | Nurses ( N = 258) |
Hospital/ Perceived financial cost, compatibility, trust | Taiwan |
| Lai et al 93 | Tailored Interventions for management of DEpressive Symptoms (TIDES) | Designing Tailored Interventions for management of DEpressive Symptoms (TIDES) program based on an extension of the TAM | 2008 | Patients ( N = 32) |
Clinics/ framework based on TAM2 (subjective norm, job relevance, experience) and modified TAM (socio-demo, adjustment, job relevance) | United States |
| Wu et al 94 | Adverse event reporting system | Investigating determines acceptance of adverse event reporting systems by health care professionals with extending TAM that integrates variables connoting trust and management support into the model | 2008 | Health care professionals ( N = 290) |
Hospital/ trust, management support, subjective norm | Taiwan |
| Yu et al 95 | Health information technology applications | Applying a modified version of the TAM2 to examine the factors determining the acceptance of health IT applications | 2009 | Staff members from long-term care facilities ( N = 134) | Long-term care/ age, subjective norm, image, job level, work experience, computer skills, voluntariness | Australia |
| Dasgupta et al 96 | Personal digital assistants (PDAs) | Evaluating pharmacists' behavioral intention to use PDAs with TAM2 | 2009 | Pharmacists ( N = 295) |
Hospital and community pharmacies/ The TAM2 theory | United States |
| Ilie et al 97 | Electronic medical record (EMR) | Examining physicians' responses to uses of EMR bases on TAM | 2009 | Physicians ( N = 199) |
Hospital/ System accessibility | United States |
| Trimmer et al 98 | Electronic medical records (EMRs) | Application models TAM, UTAUT, and organizational culture in several different phase for acceptance EMR | 2009 | Physicians ( N = –) |
Residency in family medicine/ Derived from TAM, UTAUT, and organizational culture | United States |
| Lin and Yang 99 | Asthma care mobile service (ACMS) = mobile phone | Integrating TAM and “subjective norm” and “innovativeness” in acceptance ACMS | 2009 | Patients ( N = 229) |
Remote areas/ person-centered, communication | China |
| Aggelidis and Chatzoglou 100 | Hospital information system (HIS) | Examining HIS acceptance by hospital personnel bases on TAM | 2009 | Hospital personnel ( N = 283) |
Hospital/ Derived based on UTAUT and TAM (Compatibility, training, social influence, facilitating condition, self-efficiency, anxiety) | Greece |
| Hyun et al 101 | Structured narrative electronic health record (EHR) model (electronic nursing documentation system) | Applying theory-based (combined technology acceptance model and task-technology fit model) and user-centered methods to explore nurses' perceptions of functional requirements for an electronic nursing documentation system | 2009 | Nurses ( N = 17) |
Hospital/ Combined TAM and task-technology fit (TTF) model | United States |
| Vishwanath et al 102 | Personal digital assistant (PDA) | Exploring the determinants of personal digital assistant (PDA) adoption in health care with TAM | 2009 | Physicians ( N = 215) |
Hospital/ age , position in hospital , cluster ownership , specialty | United States |
| Morton and Susan 103 | Electronic health record (EHR) | Adopting of an interoperable EHR in ambulatory card uses innovation diffusion theory and the TAM | 2010 | Physicians ( N = 802) |
University/ Combining innovation diffusion theory (IDT) and the TAM | United States |
| Zhang et al 104 | Mobile homecare nursing | Applying TAM2 in mobile homecare nursing | 2010 | Nurses ( N = 91) |
Home/ The TAM2 theory | Canada |
| Stocker 105 | Electronic medical records (EMRs) | Evaluating the TAM relevance of the intention of nurses to use electronic medical records in acute health care settings | 2010 | Nurses ( N = 97) |
Hospital/ Environment or context, nurse characteristics, EHR characteristic | United States |
| Lim et al 106 | Mobile phones | Women's acceptance of using mobile phones to seek health information basis on TAM | 2011 | Women ( N = 175) |
Home care/ Self-efficacy , anxiety , prior experience | Singapore |
| Schnall and Bakken 107 | Continuity of care record (CCR) | Assessing the applicability of TAM constructs in explaining HIV case managers' behavioral intention to use a CCR | 2011 | Managers ( N = 94) |
Center of HIV care/ Perceived barriers to use | United States |
| Kowitlawakul 108 | Telemedicine/electronic or remote technology (eICU) | Determining factors and predictors that influence nurses' intention to use the eICU technology bases on TAM | 2011 | Nurses ( N = 117) |
Hospital/ Support from physicians, years working in the hospital, support from administrator | United States |
| Egea and González 109 | Electronic health care records (EHCR) | Explaining physicians' acceptance for electronic health care records (EHCR systems) | 2011 | Physicians ( N = 254) |
Hospital/ Perceptions of institutional trust, perceived risk, information integrity | Spain |
| Hsiao et al 110 | Hospital information systems (HIS) | The application of TAM for evaluate HIS in among nursing personnel | 2011 | Nurses ( N = 501) |
Hospital/ system quality, information quality, user self-efficacy, compatibility, top management support, and project team competency | Taiwan |
| Orruño et al 111 | Teledermatology | Examining intention of physicians to use teledermatology using a modified TAM | 2011 | Physicians ( N = 171) |
Home/ Subjective norm, facilitator, habit, compatibility | Spain |
| Melas et al 112 | Clinical information systems | Explaining intention to use clinical information systems based on TAM | 2011 | Medical staff (total [ N = 604], physicians= 534) | Hospital/ Physician specialty, ICT knowledge, ICT feature demand | Greece |
| Pai and Kai 113 | Health care information systems | Adopting the system and services based on Model proposed by DeLone and Mclean and TAM | 2011 | Nurses, head directors, and other related personnel ( N = 366) |
Hospital/Model proposed by DeLone and Mclean and TAM | Taiwan |
| Jimoh et al 114 | Information and communication technology (ICT) | Using modified TAM in among maternal and child health workers | 2012 | Health workers ( N = 200) |
Rural regions/knowledge, endemic barriers (knowledge a separate factor from attitude) | Nigeria |
| Lu et al 115 | Hospital information system (HIS) | Exploring factors influencing the acceptance of HISs by nurses with derived model from TAM | 2012 | Nurses ( N = 277) |
Hospital/ Information system success model | Taiwan |
| Lakshmi and Rajaram 116 | Information technology (IT) applications and innovativeness | Analyzing the influence of IT applications and innovativeness on the acceptance of rural health care services uses by TAM | 2012 | Health personnel ( N = 465) |
Rural centers/ Information technology exposure, innovativeness, online information dependence | India |
| Jian et al 117 | USB-based personal health records (PHRs) | Factors that influencing consumer adoption of USB-based personal health records by TAM | 2012 | Patients ( N = 1,465) |
Hospital/ Subjective norm | Taiwan |
| Escobar-Rodríguez et al 118 | e-Prescriptions and automated medication management systems | Investigating health care personnel to use e-prescriptions and automated medication management systems with extensive TAM | 2012 | Physicians, nurses ( N = 209) |
Hospital/ perceived compatibility , perceived usefulness to enhance control systems, training , perceived risks | Spain |
| Ketikidis et al 119 | HIT systems | Applying modified TAM in acceptance of HIT systems in health care personnel | 2012 | Health professionals (nurses and medical doctors) ( N = 133) |
Hospital/ Computer anxiety , relevance , self-efficacy , subjective and descriptive norms , familiarity / use of computers | Greece |
| Chen and Hsiao 120 | Hospital information system (HIS) | Examining acceptance of hospital information systems (HIS) by physicians | 2012 | Physicians ( N = 81) |
Hospital/ System quality , information quality , service quality | Taiwan |
| Kim and Park 121 | Health information technology (HIT) | Developing and verify the extended technology acceptance model (TAM) in health care | 2012 | Health consumers ( n = 728) |
Home/ Incorporating the Health Belief Model (HBM) and theory of planned behavior (TPB), along with the TAM | South Korea |
| Parra et al 122 | Care service for the treatment of acute stroke patients based on telemedicine (TeleStroke) | Development, implementation, and evaluation of a care service for the treatment of acute stroke patients based on telemedicine (TeleStroke) using a TAM | 2012 | Medical professionals ( N = 34) |
Hospital/ Subjective norm, facilitating conditions | Spain |
| Gagnon et al 123 | Telemonitoring system | Using a modified TAM to evaluate health care professionals' adoption of a new telemonitoring system | 2012 | Health care professionals ( N = 234) |
Hospital/ habit, compatibility, facilitators, subjective norm | Spain |
| Wangia 124 | Immunization registry | Extending with contextual factors (contextualized TAM) to test hypotheses about immunization registry usage | 2012 | Immunization registry end-users ( n = 100) |
Unit of immunization registry/ job-task change, commitment to change, system interface characteristic, subjective norm, computer self-efficacy | United States |
| Wong et al 125 | Intelligent Comprehensive Interactive Care (ICIC) system (Telemedical) | Evaluating the users' intention using a modified technological acceptance model (TAM) | 2012 | Elderly people ( N = 121) |
Elderly care/ The TAM2 theory and enjoyment factor | Taiwan |
| Holden et al 126 | Bar-coded medication administration (BCMA) | Identifying predictors of nurses' acceptance of bar-coded medication administration (BCMA) | 2012 | Nurses ( N = 83) |
Hospital/ Social influence, training, technical support, age, experience, satisfaction | United States |
| Dünnebeil et al 127 | Electronic health (e-health) in ambulatory care (Telemedicine) | Extending technology acceptance models (TAMs) for electronic health (e-health) in ambulatory care settings by physicians | 2012 | Physicians ( N = 117) |
Ambulatory care/ building based on TAM and UTAUT (process orientation, importance of standardization, e-health knowledge, importance of documentation, importance of data security, intensity of IT utilization ) | Germany |
| Asua et al 128 | Telemonitoring | Examining the psychosocial factors related to telemonitoring acceptance among health care based on TAM2 | 2012 | Nurses, general practitioners, and pediatricians ( N = 268) |
Homecare/ Habit , compatibility , facilitator , subjective norm | Spain |
| Kummer et al 129 | Sensor-based medication administration systems | Usage of professional ward nurses toward sensor-based medication systems based on an TAM2 | 2013 | Nurses ( N = 579) |
Health associations/ Qualitative overload , quantitative overload , personal innovativeness | Australia |
| Sedlmayr et al 130 | Clinical decision support systems for medication | Testing acceptance of system by ED physicians with TAM2 | 2013 | Physicians ( N = 9) |
Hospital/ Resistance to change(RTC),compatibility (COM) | Germany |
| Abu-Dalbouh 131 | Mobile health applications | Using TAM to evaluate the system mobile tracking model | 2013 | Health care professionals ( N = –) |
–/ User satisfaction, attribute of usability | Saudi Arabia |
| Tavakoli et al 132 | Electronic medical record (EMR) | Investigating the TAM using EMR | 2013 | Users of EMR ( n = census) |
Central Polyclinic Oil Industry/data quality, user interface | Iran |
| Buenestado et al 133 | Clinical decision support systems (CDSS) based on computerized clinical guidelines and protocols (CCGP) | Determining acceptance of initial disposition of physicians toward the use of CDSS based on (CCGP) | 2013 | Physicians ( N = 8) |
Hospital/ compatibility, habits, facilitators, subjective norm | Spain |
| Escobar-Rodriguez and Bartual-Sopena 134 | Enterprise resources planning (ERP) systems | Analyzing the attitude of health care personnel toward the use of an ERP system in public hospital | 2013 | Health care personnel ( n = 59) |
Hospital/ Experience with IT, training, support, age | Spain |
| Su et al 135 | Telecare systems | Integrating patient trust with the TAM to explore the usage intention model of Telecare systems | 2013 | Patients ( N = 365) |
Hospital/Patient trust (including Social Trust, Institutional Trust) | Taiwan |
| Alali and Juhana 136 | Virtual communities of practice (VCoPs) | Exploring VCoPs satisfaction based on the technology acceptance model (TAM) and DeLone and McLean IS success model | 2013 | Practitioners ( N = 112) |
Hospital/ Developing from TAM and DeLone and McLean IS success models (knowledge quality [KQ], system quality [SyQ], service quality [SeQ], satisfaction [SAT]) | Malaysia |
| Wang et al 137 | Telecare system | Using telecare system to construct medication safety mechanisms for remote area elderly uses TAM | 2013 | Elderly patients ( N = 271) |
Remote areas/ Person-centered caring , communication | Taiwan |
| Chen et al 138 | Hospital e-appointment system | Understanding the influence on continuance intention in the hospital e-appointment system based on extended TAM | 2013 | Citizens ( N = 334) |
Home/ Relationship quality (including trust, satisfaction), continuance intention | Taiwan |
| Sicotte et al 139 | Electronic prescribing | Identifying the factors that can predict physicians' use of electronic prescribing bases on expansion of the technology acceptance model (TAM) | 2013 | Physicians ( N = 61) |
City region/ Social influence, practice characteristics, physician characteristics | Canada |
| Liu et al 140 | Web-based personal health record system | Extending TAM that integrates the physician–patient relationship (PPR) construct into TAM's original constructs for acceptance of Web-based personal health record system | 2013 | Patients ( N = 50) |
Medical center/ Physician–patient relationship (PPR) | Taiwan |
| Ma et al 141 | Blended e-learning systems (BELS) | Integrating task-technology fit (TTF), computer self-efficacy, the technology acceptance model and user satisfaction to hypothesize a theoretical model, to explain and predict user's behavioral intention to use a BELS | 2013 | Nurses ( N = 650) |
Hospitals and medical centers/ Integrating the TAM and task-technology fit (TTF) | Taiwan |
| Escobar-Rodríguez and Romero-Alonso 142 | Automated unit-based medication storage and distribution systems | Identifying attitude of nurses toward the use of automated unit-based medication storage and distribution systems and influencing factors bases on TAM | 2013 | Nurses ( N = 118) |
Hospital/ Training, perceived risk, experience level | Spain |
| Huang 143 | Telecare | Exploring people's intention to use telecare with aid from structural equation modeling (SEM) technique that is a modification of TAM | 2013 | People ( N = 369) |
City region/ Innovativeness, subjective norm | Taiwan |
| Portela et al 144 | Pervasive Intelligent Decision Support System (PIDSS) | Adopting of INTCare system making use of TAM3 in the ICU | 2013 | Nurses ( N = 14) |
ICU/ The TAM3 theory | Portugal |
| Johnson et al 145 | Evidence-adaptive clinical decision support system | Acceptance of evidence-adaptive clinical decision support system associated with an electronic health record system using TAM | 2014 | Internal medicine residents ( N = 44) |
Hospital/User satisfaction, computer knowledge, general optimism, self-reported usage, usage trajectory group, institutionalized use | United States |
| Zhang et al 146 | Mobile health | Assessment and acceptance between privacy and using mobile health with aid from TAM | 2014 | Patients ( N = 489) |
Hospital/ Personalization, privacy | China |
| Andrews et al 147 | Personally controlled electronic health record (PCEHR) | Examining how individuals in the general population perceive the promoted idea of having a PCEHR | 2014 | Patients ( N = 750) |
Homecare/Social norm, privacy concern, trust, perceived risk, controllability, Web self-efficacy, compatibility, perceived value | Australia |
| Gagnon et al 148 | Electronic health record (EHR) | Identifying the main determinants of physician acceptance of EHR in a sample of general practitioners and specialists | 2014 | Physicians ( N = 157) |
Hospital/ Integrating original TAM, extended TAM, psychosocial model | Canada |
| Hwang et al 149 | Prehospital telemetry | Factors influencing the acceptance of telemetry by emergency medical technicians in ambulances uses by extended TAM | 2014 | Emergency medical technicians ( n = 136) |
Hospital/ Job fit, loyalty, organizational facilitation, subjective norm, expectation confirmation, clinical factors, nonclinical factors | South Korea |
| Tsai 150 | Telehealth system | Integrating extended TAM and health belief model (HBM) for to identify factors that influence patients' adoption to use telehealth | 2014 | Patients ( N = 365) |
Home/ Integrating extended technology acceptance model (extended TAM) and health belief model (HBM) | Taiwan |
| Rho et al 151 | Telemedicine | Developing telemedicine service acceptance model based on the TAM with the inclusion of three predictive constructs from the previously published telemedicine literature: (1) accessibility of medical records and of patients as clinical factors, (2) self-efficacy as an individual factor, and (3) perceived incentives as regulatory factors | 2014 | Physicians ( N = 183) |
Medical centers and hospitals/ Self-efficacy, accessibility, perceived incentives | South Korea |
| Tsai 152 | Telehealth | Developing a comprehensive behavioral model for analyzing the relationships among social capital factors (social capital theory), technological factors (TAM), and system self-efficacy (social cognitive theory) in telehealth | 2014 | End users of a telehealth system ( N = 365) |
City region/ Integrating social capital theory (social trust, institutional trust, social participation), social cognitive theory (system self-efficacy) and TAM | Taiwan |
| Horan et al 153 | Online disability evaluation system | Developing a conceptual model for physician acceptance based on the TAM | 2004 | Physicians ( N = 141) |
Hospital/ Organizational readiness, technical readiness, perceived readiness, work practice compatibility, social demographics | United States |
| Saigí-Rubió et al 154 | Telemedicine | Analyzing the determinants of telemedicine use in the three countries with TAM | 2014 | Physicians ( N = 510) |
Hospital, health care centers of the urban and rural/ Optimism , propensity to innovate , level of ICT use | Spain, Colombia, and Bolivia |
| Steininger and Barbara 155 | Electronic health record (EHR) | Examining and extending factors influence acceptance levels among physicians, uses a modified (TAM) | 2015 | Physicians ( N = 204) |
Hospital/ Social impact, HIT experience, privacy concerns | Austria |
| Basak et al 156 | Personal digital assistant (PDA) | Using an extended TAM for exploring intention to use personal digital assistant (PDA) technology among physicians | 2015 | Physicians ( N = 339) |
Hospital/ Integrating the TAM and DeLone and McLean IS success models (knowledge quality, system quality, service quality and user satisfaction) | Turkey |
| Al-Adwan and Hilary 157 | Electronic health record (EHR) | Applying a modified version of the revised TAM to examine EHR acceptance and utilization by physicians | 2015 | Physicians ( N = 227) |
Hospital/ Compatibility , habit , subjective norm , facilitators | Jordan |
| Kowitlawakul et al 158 | Electronic health record for nursing education (EHRNE) | Investigating the factors influencing nursing students' acceptance of the EHRs in nursing education using the extended TAM with self-efficacy as a conceptual framework | 2015 | Students ( N = 212) |
Clinics/ Self-efficacy | Singapore |
| Michel-Verkerke et al. 59 | Patient record development (EPR) | Developing a model derived from the DOI and TAM theory for predicting EPR | 2015 | Patients ( N = –) |
–/ Derived from DOI and TAM theory | The Netherlands |
| Lin 160 | Hospital information system (HIS) | Using the perspective of TAM; national cultural differences in terms of masculinity/femininity, individualism/collectivism, power distance, and uncertainty avoidance are incorporated into the TAM as moderators | 2015 | Nurses ( N = 261) |
Hospital/ Power distance, uncertainly avoidance, masculinity or femininity, individualism or collectivism, time orientation | Taiwan |
| Abdekhoda et al 59 | Electronic medical records (EMRs) | Assessing physicians' attitudes toward EMRs' adoption by a conceptual path model of TAM and organizational context variables | 2015 | Physicians ( N = 330) |
Hospital/ Management support, training, physicians' involvement, physicians' autonomy, doctor–patient relationship | Iran |
| Gartrell et al 161 | Electronic personal health records (ePHRs) | Using a modified technology acceptance model on nurses' personal use of ePHRs | 2015 | Nurses ( N = 847) |
Hospital/ Perceived data privacy and security protection, perceived health-promoting role model | United States |
| Carrera and Lambooij 162 | Out-of-office blood pressure monitoring | Developing an analytical framework based on the TAM, the theory of planned behavior, and the model of personal computing utilization to guide the implementation of out-of-office BP monitoring methods | 2015 | Patients, physicians ( N = 6) |
–/Framework based on the TAM, the TPB (including self-efficiency, social norm), and the model of personal computing utilization (including enabling conditions) | The Netherlands |
| Sieverdes et al 163 | Mobile technology | Investigating kidney transplant patients attitudes and perceptions toward mobile technology with aid from the technology acceptance model and self-determination theory | 2015 | Patients ( N = 57) |
Medical center/ Frameworks from the TAM and self-determination theory (SDT) | United States |
| Song et al 164 | Bar code medication administration technology | Using bar code medication administration technology among nurses in hospitals with TAM | 2015 | Nurses ( N = 163) |
Hospital/ Feedback and communication about errors, age, teamwork within hospital units, hospital management support for patient safety, nursing shift, education, computer skills, technology length of use | United States |
| Jeon and Park 165 | Mobile obesity-management applications (apps) | The acceptance of mobile obesity-management applications (apps) by the public were analyzed using a mobile health care system (MHS) (TAM) | 2015 | Public (health consumer) ( N = 94) |
Homecare/ Compatibility, self-efficacy, technical support and training | South Korea |
| Alrawabdeh et al 166 | Electronic health record (EHR) | The revealing factors that affect the adoption of EHR | 2015 | Final users ( N = 6) |
Health sector of NHS/ Clinical safety, security, integration, and information sharing | United Kingdom |
| Escobar-Rodríguez and Lourdes 167 | Enterprise resources planning (ERP) | Impact of cultural factors on user attitudes toward ERP use in public hospitals and identifying influencing factors uses by TAM | 2015 | Users ( N = 59) |
Hospital/ Resistance to be controlled, perceived risks, resistance to change | Spain |
| Briz-Ponce and García-Peñalvo 168 | Mobile technology and “apps” | Measurement and explain the acceptance of mobile technology and “apps” in medical education | 2015 | Students, medical professionals ( N = 124) |
University/ Reliability, social influence, facilitating conditions, self-efficacy, anxiety, recommendation | Spain |
| Lai et al 169 | Mobile hospital registration system | The use of the mobile hospital registration system | 2015 | Patients ( N = 501) |
Hospital/ Information technology experience (ITE) | Taiwan |
| Al-Nassar et al 170 | Computerized physician order entry (CPOE) | Behavior of CPOE among physicians in hospitals based on the technology acceptance model (TAM) | 2016 | physicians ( N = –) |
Hospital/ Instability of new software providers, software quality | Jordan |
| Lin et al 171 | Devices for monitoring elderly people's postures and activities | Designing and development of a novel, textile-based, intelligent wearable vest for real-time posture monitoring and emergency warnings | 2016 | Elderly people ( N = 50) |
Homecare/ Technology anxiety | Taiwan |
| Suresh et al 172 | Health information technology (HIT) | Analyzing the application of the technology acceptance model (TAM) by outpatients | 2016 | Patients ( N = 200) |
Hospital/ Customized information, trustworthiness | India |
| Ifinedo 173 | Information systems (ISs) | The moderating effects of demographic and individual characteristics on nurses' acceptance of information systems (IS) | 2016 | Nurses ( N = 197) |
Hospital/ Education, computer knowledge | Canada |
| Goodarzi et al 174 | Picture archiving and communication system (PACS) | The TAM has been used to measure the acceptance level of PACS in the emergency department | 2016 | Users ( N = census) |
Hospital/ Change | Iran |
| Abdekhoda et al 175 | Electronic medical records (EMRs) | Integrating a model to explore physicians' attitudes toward using and accepting EMR in health care | 2016 | Physicians ( N = 330) |
Hospital/ Integrated TAM and diffusion of innovation theory (DOI) model | Iran |
| Strudwick et al 176 | Electronic health record (EHR) | Developing integrated TAM using theory of reasoned action, theory of planned behavior, and the TAM to explain behavior among nurses | 2016 | Nurses ( N = –) |
–/ Combining three different models theory of reasoned action (TRA), theory of planned behavior (TPB), and TAM | Canada |
| Hsiao and Chen 177 | Computerized clinical practice guidelines | Investigating critical factors influencing physicians' intention through an integrative model of activity theory, and the technology acceptance model | 2016 | Physicians ( N = 238) |
Hospital/ incorporating activity theory (three dimensions of factors) with TAM concepts (intention as dependent variable) | Taiwan |
| Saigi-Rubió et al 178 | Telemedicine | Investigating determinants of telemedicine use in clinical practice among medical professionals using the TAM2 and microdata | 2016 | Physicians ( N = 96) |
Health care institution/Security and confidentiality, subjective norm, physician's relationship with ICTs | Spain |
| Lin et al 179 | Nursing information system (NIS) | Developing a conceptual framework that is based on the technology acceptance model 3 (TAM3) and behavior theory | 2016 | Nurses ( N = 245) |
Hospital/ Framework that is based on the TAM3 and behavior theory (prior experience) | Taiwan |
| Ducey and Coovert 180 | Tablet computer | Evaluating practicing pediatricians to use of tablet based on extended technology acceptance model | 2016 | Pediatricians (physicians) ( N = 261) |
Hospital/ Subjective norm, compatibility, reliability | United States |
| Holden et al 181 | Novel health IT, the large customizable interactive monitor | Examining pediatric intensive care unit nurses' perceptions, acceptance, and use of a novel health IT, the large customizable interactive monitor bases on TAM2 | 2016 | Nurses ( N = 167) |
Hospital/ Social influence, perceived training on system, satisfaction with system, complete use of system | United States |
| Omar et al 182 | Prescribing decision support systems (EPDSS) | Investigating perception and use of EPDSS at a tertiary care using TAM2 | 2017 | Physicians(pediatricians) ( N = –) |
Hospital/ The TAM2 theory | Sweden |
Abbreviations: DOI, diffusion of innovation; HIV, human immunodeficiency virus; ICT, information and communication technology; ICU, intensive care unit; IS, information system; IT, information technology; NHS, National Health Service; USB, Universal Serial Bus; UTAUT, unified theory of acceptance and use of technology.