scholarly journals The Limitations of Using the Existing TAM in Adoption of Clinical Decision Support System in Hospitals

2014 ◽  
Vol 3 (2) ◽  
pp. 56-68 ◽  
Author(s):  
Pouyan Emaeilzadeh ◽  
Murali Sambasivan ◽  
Hossein Nezakati
Keyword(s):  
Information Technology ◽  
Decision Support ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Clinical Decision Support ◽  
Clinical Information ◽  
Clinical Decision ◽  
Successful Implementation ◽  
Clinical Information Technology ◽  
Acceptance Model

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 literature is whether healthcare professionals are willing to adopt and use clinical information technology while performing their tasks. Although adoption of various information technologies has been studied using the technology acceptance model (TAM), the study of technology acceptance for professional groups (such as physicians) has been limited. Physician adoption of clinical information technology is important for its successful implementation. Therefore, the purpose of this study is to gain a better insight about factors affecting physicians’ acceptance of clinical decision support systems (CDSS) in a hospital setting. The results reflect the importance of perceived threat to professional autonomy, perceived interactivity with clinical IT, perceived usefulness and perceived ease of use in determining physicians’ intention to use CDSS.

Validity Testing of Technology Acceptance Model Based on Factor Analysis Approach

2017 ◽  
Vol 5 (3) ◽  
pp. 697 ◽  
Author(s):  
Darmawan Napitupulu ◽  
Jimmy Abdel Kadar ◽  
Rahmi Kartika Jati
Keyword(s):  
Information Technology ◽  
Factor Analysis ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
User Acceptance ◽  
Perceived Usefulness ◽  
Analysis Approach ◽  
Successful Implementation ◽  
Tam Model ◽  
Acceptance Model

Successful implementation of Information Technology can be judged or predicted from the user acceptance. Technology acceptance model (TAM) is a model that is built to analyze and understand the factors that influence the acceptance of the use of technologies based on the users perspective. In other words, TAM offers a powerful explanation related to acceptance of the technology and its behavior. TAM model has been applied widely to evaluate various information systems (IS) or information technology (IT), but it is the lack of research related to the evaluation of the TAM model itself. This study aims to determine whether the model used TAM is still relevant today considering rapid development of information communication technology (ICT). In other words, this study would like to test whether the TAM measurement indicators are valid and can represent each dimension of the model. The method used is quantitative method with factor analysis approach. The results showed that all indicators valid and can represent each dimension of TAM, those are perceived usefulness, perceived ease of use and behavioral intention to use. Thus the TAM model is still relevant used to measure the user acceptance of technology.

Why Do Physicians Reject the Electronic Health Record: A Theoretical Perspective? (Preprint)

2018 ◽  
Author(s):  
Weam Alfayez ◽  
Arwa Alumran ◽  
Dr Saja A. Al-Rayes
Keyword(s):  
Information Technology ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Health Record ◽  
Record System ◽  
Factors Influencing ◽  
Tam Model ◽  
Electronic Health ◽  
Acceptance Model

BACKGROUND Many theories/ models adopted from behavioral sciences literature or developed within the field of information technologies could help in understanding the technology acceptance, usage, and effective adoption. OBJECTIVE The main aim of this paper is to review the different theories/ models that can help in understanding information technology/system acceptance and use, and to choose the most appropriate theoretical framework that could be applied to understand the factors influencing physicians’ use of the Electronic Health Record system (EHR) at King Fahd Military Medical Complex (KFMMC) in Dhahran city, Saudi Arabia. METHODS The theories/ models were reviewed using scientific databases. The inclusion criteria were if the theories/ models used to explain individual behaviors toward accepting and using of information technology including the once conducted within the healthcare. RESULTS The review showed that there were five theories/ models were used within information technology studies to understand the technology acceptance and used. There were Theory of Reasoned Action, Theory of Planned Behaviour, Innovation Diffusion Theory, Unified theory of acceptance and use of technology, and Technology Acceptance Model. Each has different explanatory power of technology use. The most appropriate theoretical framework to understand the reason behind physician use of the EHR at KFMMC would be the Technology Acceptance Model (TAM). TAM model could explain up to 75% of the variation in the behavioral intention (acceptance), and up to 62% of the variation in the actual use. It is the gold standard for assessing the usage of health technologies and systems. In fact, the TAM model is one of the core models used to explore the physician’s perceptions of the Electronic Health Record system adoption. CONCLUSIONS This review showed that there are different theories available in the literature can be used to justify the reason behind electronic health record acceptance. TAM is one of the effective, simplest models used to understand the factors influencing physicians to use the EHR-system. Further studies need to apply the TAM model to check its ability in explaining the reason behind EHR within different hospitals in Saudi Arabia

scholarly journals Iranian Health Information Technology Acceptance Model (IHITAM) from Users' Views

2019 ◽  
Vol 27 (4) ◽  
pp. 245
Author(s):  
Mehrdad Farzandipour ◽  
Somayyeh Ravandi ◽  
Hamidreza Gilasi ◽  
Nabiallah Soleimani
Keyword(s):  
Information Technology ◽  
Technology Acceptance ◽  
Health Information Technology ◽  
Health Information ◽  
Technology Acceptance Model ◽  
Acceptance Model

scholarly journals A Behavioral Study on Middle-Class Consumers in Adopting M-Commerce in East Java

2018 ◽  
Vol 14 (2) ◽  
pp. 113-125
Author(s):  
Mariatul Ulfa Mansyur ◽  
Bambang Hariadi ◽  
Wuryan Andayani
Keyword(s):  
Information Technology ◽  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Innovation Diffusion ◽  
Planned Behavior ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Diffusion Theory ◽  
Innovation Diffusion Theory ◽  
Acceptance Model

Abstract: A Behavioral Study on Middle-Class Consumers in Adopting M-Commerce in East Java. The objective of this study is to examine factors that influence the behavioral intention of consumers in using and adopting m-commerce. This study combines Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and Innovation Diffusion Theory (IDT). The data of this study were collected through a survey and samples were selected by using convenience sampling technique with SEM-PLS requirement as many as ten times the number of paths. The data were analyzed using Partial Least Square (PLS). The results of this study show that perceived usefulness, perceived ease of use, social influence, and personal innovativeness affecs behavioral intention. Furthermore, behavioral intention affects actual user, i.e. consumers, to use and adopt m-commerce information technology. This study implies that vendors of m-commerce information technology and management should pay more attention to and reconsider perceived usefulness, perceived ease of use, social influence, personal innovativeness, behavioral intention, and consumers as actual users, when they make decision regarding adoption and appliance of m-commerce.Keywords: m-commerce information technology adoption, consumer behavior, Technology Acceptance Model, Theory of Planned Behavior, Innovation Diffusion TheoryAbstrak: Studi Keperilakuan Konsumen Kelas Menengah dalam Pengadopsian M-Commerce di Jawa Timur. Studi ini bertujuan untuk menguji faktor-faktor yang memengaruhi minat perilaku konsumen dalam menggunakan maupun mengadopsi m-commerce. Studi ini merupakan penggabungan model Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), dan Innovation Diffusion Theory (IDT). Studi ini menggunakan metode survey, sampel dipilih dengan menggunakan teknik convenience sampling, dan teknik analisis yang digunakan adalah SEM-PLS. Studi ini menemukan bahwa konstruk persepsi kegunaan, persepsi kemudahan penggunaan, pengaruh sosial dan keinovatifan pribadi berpengaruh terhadap minat perilaku. Selanjutnya, studi ini juga menemukan bahwa minat perilaku berpengaruh terhadap pengguna yang sesungguhnya, yaitu konsumen, terkait dengan penggunaan maupun adopsi m-commerce. Implikasi studi ini adalah vendor layanan teknologi informasi m-commerce dan manajemen harus memperhatikan dan mempertimbangkan lagi persepsi kegunaan, persepsi kemudahan, pengaruh sosial, keinovatifan pribadi, minat perilaku dan konsumen sebagai pengguna sesungguhnya dalam mengambil keputusan terkait dengan pengenalan dan adopsi m-commerce.Kata kunci: Adopsi Teknologi Informasi M-commerce, Perilaku Konsumen, Technology Acceptance Model, Theory of Planned Behavior, Innovation Diffusion Theory

Predicting Internet Use

2011 ◽  
pp. 13-29 ◽  
Author(s):  
William R. Chrismar ◽  
Sonja Wiley-Patton
Keyword(s):  
Information Technology ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Extended Model ◽  
It Adoption ◽  
Business Managers ◽  
Intention To Adopt ◽  
Medical Sector ◽  
Acceptance Model ◽  
Health Applications

The technology acceptance model (TAM; Davis, 1989) has been widely used by information technology researchers to gain a better understanding of information technology (IT) adoption and its use in organizations. While TAM has been applied and tested in academic and corporate settings, involving students, business managers, and clerical and administrative types as participants, few studies have evaluated TAM in the healthcare environment. This chapter examines the applicability of the extended technology acceptance model (TAM2; Ventkatesh & Davis, 2000) in the context of physicians’ intention to adopt Internet-based health applications. Data was collected in a survey of pediatricians to see how well the extended model fits in the medical sector. This chapterdiscusses the implications, limitations, and possible explanations for the inconsistent results found within the model when applied to such professional users as physicians.

scholarly journals Acceptability and Barriers to Use of the ASMAN Provider-Facing Electronic Platform for Peripartum Care in Public Facilities in Madhya Pradesh and Rajasthan, India: A Qualitative Study Using the Technology Acceptance Model-3

2020 ◽  
Vol 17 (22) ◽  
pp. 8333
Author(s):  
Gulnoza Usmanova ◽  
Ashley Gresh ◽  
Megan A. Cohen ◽  
Young-Mi Kim ◽  
Ashish Srivastava ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Clinical Decision ◽  
Madhya Pradesh ◽  
Middle Income ◽  
Record Keeping ◽  
The Government ◽  
Acceptance Model ◽  
Long Term Impact

The evolving field of mobile health (mHealth) is revolutionizing collection, management, and quality of clinical data in health systems. Particularly in low- and middle-income countries (LMICs), mHealth approaches for clinical decision support and record-keeping offer numerous potential advantages over paper records and in-person training and supervision. We conducted a content analysis of qualitative in-depth interviews using the Technology Acceptance Model 3 (TAM-3) to explore perspectives of providers and health managers in Madhya Pradesh and Rajasthan, India who were using the ASMAN (Alliance for Saving Mothers and Newborns) platform, a package of mHealth technologies to support management during the peripartum period. Respondents uniformly found ASMAN easy to use and felt it improved quality of care, reduced referral rates, ensured timely referral when needed, and aided reporting requirements. The TAM-3 model captured many determinants of reported respondent use behavior, including shifting workflow and job performance. However, some barriers to ASMAN digital platform use were structural and reported more often in facilities where ASMAN use was less consistent; these affect long-term impact, sustainability, and scalability of ASMAN and similar mHealth interventions. The transitioning of the program to the government, ensuring availability of dedicated funds, human resource support, and training and integration with government health information systems will ensure the sustainability of ASMAN.

scholarly journals Informatics and interaction: Applying human factors principles to optimize the design of clinical decision support for sepsis

2019 ◽  
Vol 26 (1) ◽  
pp. 642-651
Author(s):  
Laura Schubel ◽  
Danielle L Mosby ◽  
Joseph Blumenthal ◽  
Muge Capan ◽  
Ryan Arnold ◽  
...  
Keyword(s):  
Information Technology ◽  
Decision Support ◽  
Human Factors ◽  
Organ Failure ◽  
Health Information Technology ◽  
Health Information ◽  
Clinical Decision Support ◽  
Clinical Care ◽  
Clinical Decision ◽  
Wide Range

In caring for patients with sepsis, the current structure of electronic health record systems allows clinical providers access to raw patient data without imputation of its significance. There are a wide range of sepsis alerts in clinical care that act as clinical decision support tools to assist in early recognition of sepsis; however, there are serious shortcomings in existing health information technology for alerting providers in a meaningful way. Little work has been done to evaluate and assess existing alerts using implementation and process outcomes associated with health information technology displays, specifically evaluating clinician preference and performance. We developed graphical model displays of two popular sepsis scoring systems, quick Sepsis Related Organ Failure Assessment and Predisposition, Infection, Response, Organ Failure, using human factors principles grounded in user-centered and interaction design. Models will be evaluated in a larger research effort to optimize alert design to improve the collective awareness of high-risk populations and develop a relevant point-of-care clinical decision support system for sepsis.

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