scholarly journals The Role of Perceived Usefulness and Attitude on Electronic Health Record Acceptance

2014 ◽  
Vol 5 (4) ◽  
pp. 108-119 ◽  
Author(s):  
Randike Gajanayake ◽  
Tony Sahama ◽  
Renato Iannella
Keyword(s):  
Electronic Health Records ◽  
Healthcare Professionals ◽  
Polynomial Regression ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Information And Communications Technologies ◽  
Health Records ◽  
Communications Technologies ◽  
Electronic Health

Information and communications technologies are a significant component of the healthcare domain, and electronic health records play a major role in it. Therefore, it is important that they are accepted en masse by healthcare professionals. How healthcare professionals perceive the usefulness of electronic health records and their attitudes towards them have been shown to have significant effects on the overall acceptance in many healthcare systems around the world. This paper investigates the role of perceived usefulness and attitude on the intention to use electronic health records by future healthcare professionals using polynomial regression with response surface analysis. Results show that the relationships between these variables are more complex than predicted in prior research. The paper concludes that the properties of the above determinants must be further investigated to clearly understand: (i) their role in predicting the intention to use electronic health records; and (ii) in designing systems that are better adopted by healthcare professionals of the future.

scholarly journals The Role of Perceived Usefulness and Attitude on Electronic Health Record Acceptance

2016 ◽  
pp. 49-59
Author(s):  
Randike Gajanayake ◽  
Tony Sahama ◽  
Renato Iannella
Keyword(s):  
Electronic Health Records ◽  
Healthcare Professionals ◽  
Polynomial Regression ◽  
Perceived Usefulness ◽  
Intention To Use ◽  
Information And Communications Technologies ◽  
Health Records ◽  
Communications Technologies ◽  
Electronic Health

Information and communications technologies are a significant component of the healthcare domain, and electronic health records play a major role in it. Therefore, it is important that they are accepted en masse by healthcare professionals. How healthcare professionals perceive the usefulness of electronic health records and their attitudes towards them have been shown to have significant effects on the overall acceptance in many healthcare systems around the world. This paper investigates the role of perceived usefulness and attitude on the intention to use electronic health records by future healthcare professionals using polynomial regression with response surface analysis. Results show that the relationships between these variables are more complex than predicted in prior research. The paper concludes that the properties of the above determinants must be further investigated to clearly understand: (i) their role in predicting the intention to use electronic health records; and (ii) in designing systems that are better adopted by healthcare professionals of the future.

scholarly journals Factors Determining the Intention to Use Electronic Health Records: An Extension of the Technology Acceptance Model

2020 ◽  
pp. 119-133
Author(s):  
Oladotun O. Okediran ◽  
Wajeed B. Wahab ◽  
Mayowa O. Oyediran
Keyword(s):  
Electronic Health Records ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Healthcare Professionals ◽  
Equation Modeling ◽  
Intention To Use ◽  
System Quality ◽  
Health Records ◽  
Electronic Health ◽  
Acceptance Model

This paper details an empirical investigation of the factors that determine the intention of adopting and using electronic health records (EHR). The paper’s goal is a study aimed at examining the possibilities and intents towards EHR amongst healthcare professionals in Nigeria. In this study, an extended Technology Acceptance Model (TAM) that incorporates Subjective norm, Social influence, Result demonstrability, Computer self-efficacy and System quality to the original TAM constructs was proposed. The proposed model was empirically tested using data collected from a sample of 126 healthcare professionals across 14 healthcare delivery institutions in Oyo State, Southwestern, Nigeria by applying structural equation modeling (SEM). These data were collected by administering a questionnaire containing 30 items. The results of the evaluation showed that all constructs have significant effect on healthcare professionals’ behavioural intention to use EHR.

Negotiating stigma in health care: disclosure and the role of electronic health records

2015 ◽  
Vol 24 (3) ◽  
pp. 227-241 ◽  
Author(s):  
Timothy Stablein ◽  
Joseph Lorenzo Hall ◽  
Chauna Pervis ◽  
Denise L. Anthony
Keyword(s):  
Health Care ◽  
Electronic Health Records ◽  
Health Records ◽  
Electronic Health

The Impact of the Global, Extensible Electronic Health Record

2011 ◽  
pp. 3-13 ◽  
Author(s):  
David W. Forslund ◽  
David G. Kilman
Keyword(s):  
Electronic Health Records ◽  
Negative Impact ◽  
Global Scale ◽  
Global Perspective ◽  
Health Records ◽  
Technological Advances ◽  
The World ◽  
Electronic Health ◽  
The Impact

With the arrival of the “World Wide Web,” we have witnessed a transition toward a truly global perspective with respect to electronic health records. In recent years, much more discussion has focused on the potential for international virtual electronic health records and what is required for them to become a reality in the world today (Kilman & Forslund, 1997). As the Internet becomes more ubiquitous and Web-enabled, we see access to electronic health records using these technologies becoming more commonplace. Even so, these Web-enabled health records still remain technologically isolated from other medical records in the distributed continuum of care; much of the standardization challenge still stands before us. We have witnessed startling technological advances, but we still face considerable obstacles to the goal of having globally standardized electronic health records. In this chapter we describe some of the issues associated with Web-enabled health records, the role of standards in the evolution of Web-enabled health records, and some of the barriers to the development of globally accessible electronic health records. We discuss possible ways to overcome these barriers and the kinds of benefits and opportunities that global health records will help provide. The global scale perspective makes more evident the very real and potentially tragic consequences of prolonged and unnecessary delays in deploying these technologies. Therefore, in an effort to promote a fuller consciousness of health safety, the chapter concludes with a comparative look at the negative impact of impediments in the movement toward global extensible electronic health records.

Satisfaction and perceived usefulness with newly-implemented Electronic Health Records System among pediatricians at a university hospital

2019 ◽  
Vol 169 ◽  
pp. 51-57 ◽  
Author(s):  
Fahad Alsohime ◽  
Mohamad-Hani Temsah ◽  
Ayman Al-Eyadhy ◽  
Fahad A. Bashiri ◽  
Mowafa Househ ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Perceived Usefulness ◽  
University Hospital ◽  
Health Records ◽  
Electronic Health

scholarly journals Barriers and facilitators to data quality of electronic health records used for clinical research in China: a qualitative study

BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e029314 ◽  
Author(s):  
Kaiwen Ni ◽  
Hongling Chu ◽  
Lin Zeng ◽  
Nan Li ◽  
Yiming Zhao
Keyword(s):  
Qualitative Study ◽  
Electronic Health Records ◽  
Clinical Research ◽  
Data Quality ◽  
Healthcare Professionals ◽  
Barriers And Facilitators ◽  
Health Records ◽  
Improve Data Quality ◽  
Electronic Health

ObjectivesThere is an increasing trend in the use of electronic health records (EHRs) for clinical research. However, more knowledge is needed on how to assure and improve data quality. This study aimed to explore healthcare professionals’ experiences and perceptions of barriers and facilitators of data quality of EHR-based studies in the Chinese context.SettingFour tertiary hospitals in Beijing, China.ParticipantsNineteen healthcare professionals with experience in using EHR data for clinical research participated in the study.MethodsA qualitative study based on face-to-face semistructured interviews was conducted from March to July 2018. The interviews were audiorecorded and transcribed verbatim. Data analysis was performed using the inductive thematic analysis approach.ResultsThe main themes included factors related to healthcare systems, clinical documentation, EHR systems and researchers. The perceived barriers to data quality included heavy workload, staff rotations, lack of detailed information for specific research, variations in terminology, limited retrieval capabilities, large amounts of unstructured data, challenges with patient identification and matching, problems with data extraction and unfamiliar with data quality assessment. To improve data quality, suggestions from participants included: better staff training, providing monetary incentives, performing daily data verification, improving software functionality and coding structures as well as enhancing multidisciplinary cooperation.ConclusionsThese results provide a basis to begin to address current barriers and ultimately to improve validity and generalisability of research findings in China.

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