Electronic Health Records Implementation in Jordan: Perceptions of Healthcare Providers and Determinant Factors (Preprint)

2020 ◽  
Author(s):  
Tamadur Shudayfat ◽  
Çağdaş Akyürek ◽  
Noha Al-Shdayfat ◽  
Hatem Alsaqqa
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Healthcare Providers ◽  
Health Record ◽  
Health Records ◽  
Context Factors ◽  
Electronic Health ◽  
Acceptance Model

BACKGROUND Acceptance of Electronic Health Record systems is considered an essential factor for an effective implementation among the Healthcare providers. In an attempt to understand the healthcare providers’ perceptions on the Electronic Health Record systems implementation and evaluate the factors influencing healthcare providers’ acceptance of Electronic Health Records, the current research examines the effects of individual (user) context factors, and organizational context factors, using Technology Acceptance Model. OBJECTIVE The current research examines the effects of individual (user) context factors, and organizational context factors, using Technology Acceptance Model. METHODS A quantitative cross-sectional survey design was used, in which 319 healthcare providers from five public hospital participated in the present study. Data was collected using a self-administered questionnaire, which was based on the Technology Acceptance Model. RESULTS Jordanian healthcare providers demonstrated positive perceptions of the usefulness and ease of use of Electronic Health Record systems, and subsequently, they accepted the technology. The results indicated that they had a significant effect on the perceived usefulness and perceived ease of use of Electronic Health Record, which in turn was related to positive attitudes towards Electronic Health Record systems as well as the intention to use them. CONCLUSIONS User attributes, organizational competency, management support and training and education are essential variables in predicting healthcare provider’s acceptance toward Electronic Health records. These findings should be considered by healthcare organizations administration to introduce effective system to other healthcare organizations.

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 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.

scholarly journals Electronic Health Records (EHR)

2012 ◽  
Vol 3 (3) ◽  
pp. 201-210 ◽  
Author(s):  
Tom Seymour ◽  
Dean Frantsvog ◽  
Tod Graeber
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Radio Frequency Identification ◽  
Healthcare Providers ◽  
Health Record ◽  
Clinical Documentation ◽  
Health Records ◽  
Quality Healthcare ◽  
Documentation Quality ◽  
Electronic Health

Electronic Health Records are electronic versions of patients’ healthcare records. An electronic health record gathers, creates, and stores the health record electronically. The electronic health record has been slow to be adopted by healthcare providers. The federal government has recently passed legislation requiring the use of electronic records or face monetary penalties. The electronic health record will improve clinical documentation, quality, healthcare utilization tracking, billing and coding, and make health records portable. The core components of an electronic health record include administrative functions, computerized physician order entry, lab systems, radiology systems, pharmacy systems, and clinical documentation. HL7 is the standard communication protocol technology that an electronic health record utilizes. Implementation of software, hardware, and IT networks are important for a successful electronic health record project. The benefits of an electronic health record include a gain in healthcare efficiencies, large gains in quality and safety, and lower healthcare costs for consumers. Electronic health record challenges include costly software packages, system security, patient confidentiality, and unknown future government regulations. Future technologies for electronic health records include bar coding, radio-frequency identification, and speech recognition. 

scholarly journals Pilot Study of Meaningful Use of Electronic Health Records in Radiation Oncology

2012 ◽  
Vol 8 (4) ◽  
pp. 219-223 ◽  
Author(s):  
Xinglei Shen ◽  
Adam P. Dicker ◽  
Laura Doyle ◽  
Timothy N. Showalter ◽  
Amy S. Harrison ◽  
...  
Keyword(s):  
Pilot Study ◽  
Electronic Health Records ◽  
Electronic Health Record ◽  
Radiation Oncology ◽  
Meaningful Use ◽  
Health Record ◽  
Health Records ◽  
Widespread Adoption ◽  
Electronic Health

Most large academic radiation oncology practices have incorporated electronic health record systems into practice and plan to meet meaningful use requirements. Further work should focus on needs of smaller practices, and specific guidelines may improve widespread adoption.

Electronic Health Record System using Blockchain

2019 ◽  
Vol 1 (2) ◽  
pp. 57-61
Author(s):  
Sangeetha R ◽  
Harshini B ◽  
Shanmugapriya A ◽  
Rajagopal T.K.P.
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Family Health ◽  
Health Record ◽  
Medical Organization ◽  
Record System ◽  
Health Records ◽  
Related Information ◽  
Health Related ◽  
Electronic Health

This paper deals with the Electronic Health Records for storing information of the patient which consist of the medical reports. Electronic Health Records (EHRs) are entirely controlled by Hospitals instead of patients, which complicates seeking medical advices from different hospitals. In the existing system of storing details of the patients are very dependent on the servers of the organization. In the proposed all the information of the patient are stored in the blockchain by using the Metamask and these details are stored in the block chain as a blocks of data. Each block consists of the data which is encrypted data. Electronic Health Record (EHR) systems record health-related information on an individual so that it can be consulted by clinicians or staff for patient care. The data is encrypted by the algorithm known as SHA-256 which is used to encrypt all the data of the patients into a single line 256 bit encrypted text which will be stored in the block at etherscan. These records for not only useful for the consultation but also for creation of historic family health information tree that keeps track of genetic health issues and diseases it can also be used for any health service with the authorization from both the patient and medical organization.

scholarly journals Phenotyping issues for exploring electronic health records to design clinical trials

2020 ◽  
Vol 17 (4) ◽  
pp. 402-404
Author(s):  
Jill Schnall ◽  
LingJiao Zhang ◽  
Jinbo Chen
Keyword(s):  
Clinical Trials ◽  
Electronic Health Records ◽  
Electronic Health Record ◽  
Statistical Methods ◽  
Gold Standard ◽  
The Other ◽  
Health Record ◽  
Health Records ◽  
Electronic Health ◽  
Downstream Analysis

For utilizing electronic health records to help design and conduct clinical trials, an essential first step is to select eligible patients from electronic health records, that is, electronic health record phenotyping. We present two novel statistical methods that can be used in the context of electronic health record phenotyping. One mitigates the requirement for gold-standard control patients in developing phenotyping algorithms, and the other effectively corrects for bias in downstream analysis introduced by study samples contaminated by ineligible subjects.

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