scholarly journals Evaluating the Effects of Electronic Health Records System Adoption on the Performance of Malaysian Health Care Providers

2020 ◽  
Author(s):  
Mohd Idzwan Mohd Salleh ◽  
Rosni Abdullah ◽  
Nasriah Zakaria
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Structural Equation ◽  
Care Delivery ◽  
Equation Modeling ◽  
System Quality ◽  
Care Providers ◽  
Coordinated Care ◽  
Knowledge Quality ◽  
Electronic Health

Abstract Background: The Ministry of Health of Malaysia has invested significant resources to implement an electronic health record (EHR) system to ensure the full automation of hospitals for coordinated care delivery. Thus, evaluating whether the system has been effectively utilized is necessary, particularly regarding how it predicts the work performance of health care providers. Methods: Convenience sampling was employed for data collection in three government hospitals for seven months. A standardized efficacy survey for EHR systems was administered to primary health care providers (specialists, medical officers, and nurses) as they participated in medical education programs. Empirical data were assessed by employing partial least squares-structural equation modeling for hypothesis testing.Results: The results demonstrated that knowledge quality had the highest score for predicting performance and had a large effect size, whereas system compatibility was the strongest component of system quality. The findings indicated that EHR systems supported the clinical tasks and workflows of care providers, which increased system quality, whereas increased quality of knowledge improved user performance. Conclusion: Given these findings, knowledge quality and effective use should be incorporated into the evaluation of EHR system efficacy in health institutions. Data mining features can be integrated into current systems for easily and systematically generating health populations and disease trend analysis, improving clinical knowledge of care providers and aiding in maintaining their productivity. The validated survey instrument can be further tested with empirical surveys in other public and private hospitals with different interoperable EHR systems.

scholarly journals Evaluating the effects of electronic health records system adoption on the performance of Malaysian health care providers

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mohd Idzwan Mohd Salleh ◽  
Rosni Abdullah ◽  
Nasriah Zakaria
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Structural Equation ◽  
Care Delivery ◽  
Primary Care Providers ◽  
Equation Modeling ◽  
System Quality ◽  
Care Providers ◽  
Knowledge Quality ◽  
Electronic Health

Abstract Background The Ministry of Health of Malaysia has invested significant resources to implement an electronic health record (EHR) system to ensure the full automation of hospitals for coordinated care delivery. Thus, evaluating whether the system has been effectively utilized is necessary, particularly regarding how it predicts the post-implementation primary care providers’ performance impact. Methods Convenience sampling was employed for data collection in three government hospitals for 7 months. A standardized effectiveness survey for EHR systems was administered to primary health care providers (specialists, medical officers, and nurses) as they participated in medical education programs. Empirical data were assessed by employing partial least squares-structural equation modeling for hypothesis testing. Results The results demonstrated that knowledge quality had the highest score for predicting performance and had a large effect size, whereas system compatibility was the most substantial system quality component. The findings indicated that EHR systems supported the clinical tasks and workflows of care providers, which increased system quality, whereas the increased quality of knowledge improved user performance. Conclusion Given these findings, knowledge quality and effective use should be incorporated into evaluating EHR system effectiveness in health institutions. Data mining features can be integrated into current systems for efficiently and systematically generating health populations and disease trend analysis, improving clinical knowledge of care providers, and increasing their productivity. The validated survey instrument can be further tested with empirical surveys in other public and private hospitals with different interoperable EHR systems.

scholarly journals Evaluating the Effects of Electronic Health Records System Adoption on the Performance of Malaysian Health Care Providers

2021 ◽  
Author(s):  
Mohd Idzwan Mohd Salleh ◽  
Rosni Abdullah ◽  
Nasriah Zakaria
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Structural Equation ◽  
Care Delivery ◽  
Primary Care Providers ◽  
Equation Modeling ◽  
System Quality ◽  
Care Providers ◽  
Knowledge Quality ◽  
Electronic Health

Abstract Background: The Ministry of Health of Malaysia has invested significant resources to implement an electronic health record (EHR) system to ensure the full automation of hospitals for coordinated care delivery. Thus, evaluating whether the system has been effectively utilized is necessary, particularly regarding how it predicts the post-implementation primary care providers’ performance impact. Methods: Convenience sampling was employed for data collection in three government hospitals for seven months. A standardized efficacy survey for EHR systems was administered to primary health care providers (specialists, medical officers, and nurses) as they participated in medical education programs. Empirical data were assessed by employing partial least squares-structural equation modeling for hypothesis testing.Results: The results demonstrated that knowledge quality had the highest score for predicting performance and had a large effect size, whereas system compatibility was the strongest component of system quality. The findings indicated that EHR systems supported the clinical tasks and workflows of care providers, which increased system quality, whereas increased quality of knowledge improved user performance. Conclusion: Given these findings, knowledge quality and effective use should be incorporated into the evaluation of EHR system efficacy in health institutions. Data mining features can be integrated into current systems for easily and systematically generating health populations and disease trend analysis, improving clinical knowledge of care providers and aiding in maintaining their productivity. The validated survey instrument can be further tested with empirical surveys in other public and private hospitals with different interoperable EHR systems.

scholarly journals Evaluating The Performance Of Malaysian Health Care Providers With Partial Least Squares Path Modeling

2020 ◽  
Author(s):  
Mohd Idzwan Mohd Salleh ◽  
Rosni Abdullah ◽  
Nasriah Zakaria
Keyword(s):  
Health Care ◽  
Least Squares ◽  
Partial Least Squares ◽  
Health Care Providers ◽  
Care Delivery ◽  
Equation Modeling ◽  
System Quality ◽  
Care Providers ◽  
Knowledge Quality ◽  
Effective Use

Abstract Background: The Ministry of Health Malaysia invested significant resources to implement an electronic health record (EHR) system to ensure the full automation of hospitals for coordinated care delivery. Thus, evaluating whether the system has been utilized effectively is necessary, particularly on how it predicts the work performance of the health care providers. Methods: Convenience sampling was employed for data collection in three government hospitals for seven months. A standardized effectiveness survey for EHR systems was administered to health care providers (specialists, medical officers, and nurses) as they participated in medical education programs. Power analysis was conducted before and after the study to ensure adequate sample sizes and sufficient power. The empirical data was assessed by employing partial least squares-structural equation modeling for hypotheses testing. Results: As a results, knowledge quality had the highest score in predicting performance and had a large effect size, whereas system compatibility became the strongest component of system quality. The findings indicated that EHR systems supported the clinical tasks and workflows of care providers, which increased system quality, whereas increased quality of knowledge improved user performance. Conclusion: Therefore, knowledge quality and effective use should be incorporated into the evaluation study of EHR system effectiveness in health institutions. Data mining feature can be integrated into current systems for generating health populations and disease trend analysis easily and systematically, therefore improving clinical knowledge of care providers and effective use to maintain their productivity. The validated survey instrument can be further tested with empirical surveys in other public and private hospitals with different interoperable EHR systems.

Naming Notes: Transitions from Free Text to Structured Entry

1995 ◽  
Vol 34 (01/02) ◽  
pp. 57-67 ◽  
Author(s):  
J. Gregory ◽  
J. E. Mattison ◽  
C. Linde
Keyword(s):  
Health Care ◽  
Electronic Health Record ◽  
Health Care Providers ◽  
Medical Records ◽  
Care Delivery ◽  
Free Text ◽  
Development Effort ◽  
Health Record ◽  
Care Providers ◽  
Electronic Health

Abstract:To practice medicine in the near future, health care providers in the USA need an information infrastructure they do not yet have. We offer a contribution from social science research to discussions of current medical records practices and how health care activity systems may be transformed by the advent of electronic health records. The goal of the paper is to set forth a framework that connects over-arching questions concerning medical informatics systems development with the practical, cultural and conceptual issues involved in transitions from handwritten and other free text documentation to structured entry of medical records to build patient profiles. The research is broadly framed by an interest in how reciprocal modifications of the design and use of an electronic health record are negotiated in an iterative prototyping project. It is conducted as part of a complex multi-disciplinary research and development effort to create an electronic health record prototype for use in the integrated health care delivery environment of the Southern California Kaiser Permanente Medical Care Program.

scholarly journals Implementing electronic health records (EHRs): health care provider perceptions before and after transition from a local basic EHR to a commercial comprehensive EHR

2017 ◽  
Vol 25 (6) ◽  
pp. 618-626 ◽  
Author(s):  
Marie Krousel-Wood ◽  
Allison B McCoy ◽  
Chad Ahia ◽  
Elizabeth W Holt ◽  
Donnalee N Trapani ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Preventive Care ◽  
Care Delivery ◽  
Primary Care Providers ◽  
Easy Access ◽  
Care Providers ◽  
Before And After ◽  
Electronic Health

Abstract Objective We assessed changes in the percentage of providers with positive perceptions of electronic health record (EHR) benefit before and after transition from a local basic to a commercial comprehensive EHR. Methods Changes in the percentage of providers with positive perceptions of EHR benefit were captured via a survey of academic health care providers before (baseline) and at 6–12 months (short term) and 12–24 months (long term) after the transition. We analyzed 32 items for the overall group and by practice setting, provider age, and specialty using separate multivariable-adjusted random effects logistic regression models. Results A total of 223 providers completed all 3 surveys (30% response rate): 85.6% had outpatient practices, 56.5% were >45 years old, and 23.8% were primary care providers. The percentage of providers with positive perceptions significantly increased from baseline to long-term follow-up for patient communication, hospital transitions – access to clinical information, preventive care delivery, preventive care prompt, preventive lab prompt, satisfaction with system reliability, and sharing medical information (P < .05 for each). The percentage of providers with positive perceptions significantly decreased over time for overall satisfaction, productivity, better patient care, clinical decision quality, easy access to patient information, monitoring patients, more time for patients, coordination of care, computer access, adequate resources, and satisfaction with ease of use (P < 0.05 for each). Results varied by subgroup. Conclusion After a transition to a commercial comprehensive EHR, items with significant increases and significant decreases in the percentage of providers with positive perceptions of EHR benefit were identified, overall and by subgroup.

scholarly journals The impact of training on the use of electronic health records

1970 ◽  
Vol 9 (3) ◽  
pp. 140-147
Author(s):  
B Devkota ◽  
JF Lamia ◽  
N Pommer ◽  
J Smith ◽  
B Whitman
Keyword(s):  
Health Care ◽  
Electronic Health Records ◽  
Learning Outcomes ◽  
Health Care Providers ◽  
Positive Impact ◽  
Care Delivery ◽  
Care Providers ◽  
Health Records ◽  
Electronic Health ◽  
The Impact

Background: Studies have found that health information technology can improve the quality and efficiency of care delivery through better decision support. Objective: To gauge the effectiveness of electronic health records (EHR) training that was delivered to health care providers in an academic practice, to leverage feedback from the training evaluation to inform the content and process of training health care providers and to understand the impact of EHR implementation on all facets of health care delivery. Methods: A mixed methods instrument was designed to assess learning outcomes (cognitive, attitudinal and behavioral) associated with EHR training. A sample of 220 health care providers who regularly interacted with the EHR system was included. Participants were asked to evaluate cognitive, attitudinal, and behavioral aspects of their training with the EHR system. A multidimensional assessment of learning outcomes was selected. Results: On behavioral theme, 50% of our survey respondents answered the questions positively, 28% did not, 16% had mixed feelings, 3% felt EHR had negative impacts and 3% were neutral. On cognitive theme 31% felt EHR had a positive impact, 33% felt it had drawbacks whereas 35% left the answers blank and 1% felt they had no idea. On attitudinal theme, there was positive response from 45%, 21% had negative feelings about the system, 5% were neutral and the rest 25% did not answer. Conclusions: In this study, we found that majority of the respondents were satisfied with the EHR for behavioral and attitudinal themes. Future studies with mandatory response to cognitive theme will help figure out the satisfaction of survey respondents on all themes. DOI: http://dx.doi.org/10.3126/hren.v9i3.5580   HR 2011; 9(3): 140-147

Genetic Predispositions, Prophylactic Treatments and Private Health Insurance: Nothing is Better Than a Good Pair of Genes

1997 ◽  
Vol 23 (1) ◽  
pp. 45-68 ◽  
Author(s):  
Alexandra K. Glazier
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Genetic Predisposition ◽  
Genetic Linkage ◽  
Dna Analysis ◽  
Care Delivery ◽  
Medical Community ◽  
Care Providers ◽  
Linkage Studies ◽  
Prophylactic Measures

Discovering the genetic basis of a particular disease is not only of great interest to the medical community; private health insurers are also anxiously awaiting the results of genetic linkage studies. Apart from the scientific value of DNA studies, the results of genetic linkage research are relevant to health care delivery in two principal ways. First, identifying the genetic origin of a disease may allow doctors to detect the disease earlier. If doctors know that an individual is genetically predisposed to a particular disease, then health care providers can increase screening efforts and watch for early symptoms. Second, if an individual has a genetic predisposition to a particular disease, health care providers may employ preventive or “prophylactic" measures to reduce or eliminate the risk of developing the disease or condition to which the individual is genetically predisposed. Genetic linkage studies will soon allow more individuals to learn of their own genetic predispositions to certain diseases. Currently genetic predisposition tests (both pedigrees of family history and DNA analysis) can indicate that an individual is at high risk for developing a disease.

Nurse Practitioner Challenges to the Orthodox Structure of Health Care Delivery: Regulation and Restraints on Trade

1985 ◽  
Vol 11 (2) ◽  
pp. 195-225
Author(s):  
Karla Kelly
Keyword(s):  
Health Care ◽  
Health Care Providers ◽  
Health Care Delivery ◽  
Nurse Practitioners ◽  
Nurse Practitioner ◽  
Allied Health ◽  
Care Delivery ◽  
The United States ◽  
Care Providers ◽  
Allied Health Care

AbstractUntil recently, physicians have been the primary health care providers in the United States. In response to the rising health care costs and public demand of the past decade, allied health care providers have challenged this orthodox structure of health care delivery. Among these allied health care providers are nurse practitioners, who have attempted to expand traditional roles of the registered nurse.This article focuses on the legal issues raised by several major obstacles to the expansion of nurse practitioner services: licensing restrictions, third party reimbursement policies, and denial of access to medical facilities and physician back-up services. The successful judicial challenges to discriminatory practices against other allied health care providers will be explored as a solution to the nurse practitioners’ dilemma.

scholarly journals Attitudes toward Health Systems Financing in Chile

2021 ◽  
Vol 58 ◽  
pp. 004695802110201
Author(s):  
Pablo A. González ◽  
Laura L. Gutiérrez ◽  
Juan Carlos Oyanedel ◽  
Héctor Sánchez-Rodríguez
Keyword(s):  
Health Systems ◽  
Health Care Providers ◽  
Structural Equation ◽  
Public Attitudes ◽  
Equation Modeling ◽  
Care Providers ◽  
Public Provision ◽  
The Public ◽  
People’S Attitudes ◽  
Willingness To Contribute

This article presents an exploratory model to classify public attitudes towards health systems financing and organization. It comprises 5 factors (pay-as-you-use, solidarity, willingness to contribute, mixed financing, and public provision) measured by 17 indicators, selected through Exploratory Structural Equation Modeling (ESEM) applied to a sample of Chilean adults. Based on this model, cluster analysis proposed 2 groups: “Taxes-public” and “Insurance-choice,” representing 47% and 53% of interviewees, respectively. The results show differences between groups concerning the evaluation of both health care providers and insurers. The second cluster tends to evaluate them more harshly, showing less willingness to contribute further, less solidarity, more agreement with the current financing arrangement in terms of the mixture and its insurance (as opposed to purchasing of service based on health problems), and more support for choice of provider. These results highlight the need to consider people’s attitudes in the public discussion of health systems financing.

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