scholarly journals THE INTERNET OF THINGS (IOT), ELECTRONIC HEALTH RECORD (EHR), AND FEDERAL LEGISLATION: THE CASE FOR A NATIONAL ELECTRONIC PERSONAL HEALTH INFORMATION (EPHI) RECORD SYSTEM

2020 ◽  
Keyword(s):  
Internet Of Things ◽  
Electronic Health Record ◽  
Health Information ◽  
Personal Health Information ◽  
The Internet ◽  
Personal Health ◽  
Federal Legislation ◽  
Health Record ◽  
Record System ◽  
The Internet Of Things

scholarly journals Examining How Internet Users Trust and Access Electronic Health Record Patient Portals: Survey Study

10.2196/28501 ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. e28501
Author(s):  
Rong Yin ◽  
Katherine Law ◽  
David Neyens
Keyword(s):  
Logistic Regression ◽  
Electronic Health Record ◽  
Regression Model ◽  
Health Information ◽  
Logistic Regression Model ◽  
Survey Study ◽  
The Internet ◽  
Health Record ◽  
Patient Portals ◽  
Internet Users

Background Electronic health record (EHR) patient portals are designed to provide medical health records to patients. Using an EHR portal is expected to contribute to positive health outcomes and facilitate patient-provider communication. Objective Our objective was to examine how portal users report using their portals and the factors associated with obtaining health information from the internet. We also examined the desired portal features, factors impacting users’ trust in portals, and barriers to using portals. Methods An internet-based survey study was conducted using Amazon Mechanical Turk. All the participants were adults in the United States who used patient portals. The survey included questions about how the participants used their portals, what factors acted as barriers to using their portals, and how they used and how much they trusted other web-based health information sources as well as their portals. A logistic regression model was used to examine the factors influencing the participants’ trust in their portals. Additionally, the desired features and design characteristics were identified to support the design of future portals. Results A total of 394 participants completed the survey. Most of the participants were less than 35 years old (212/394, 53.8%), with 36.3% (143/394) aged between 35 and 55 years, and 9.9% (39/394) aged above 55 years. Women accounted for 48.5% (191/394) of the survey participants. More than 78% (307/394) of the participants reported using portals at least monthly. The most common portal features used were viewing lab results, making appointments, and paying bills. Participants reported some barriers to portal use including data security and limited access to the internet. The results of a logistic regression model used to predict the trust in their portals suggest that those comfortable using their portals (odds ratio [OR] 7.97, 95% CI 1.11-57.32) thought that their portals were easy to use (OR 7.4, 95% CI 1.12-48.84), and frequent internet users (OR 43.72, 95% CI 1.83-1046.43) were more likely to trust their portals. Participants reporting that the portals were important in managing their health (OR 28.13, 95% CI 5.31-148.85) and that their portals were a valuable part of their health care (OR 6.75, 95% CI 1.51-30.11) were also more likely to trust their portals. Conclusions There are several factors that impact the trust of EHR patient portal users in their portals. Designing easily usable portals and considering these factors may be the most effective approach to improving trust in patient portals. The desired features and usability of portals are critical factors that contribute to users’ trust in EHR portals.

scholarly journals Developing a Transnational Health Record Framework with Level-Specific Interoperability Guidelines Based on a Related Literature Review

Healthcare ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 67
Author(s):  
Ah Ra Lee ◽  
Il Kon Kim ◽  
Eunjoo Lee
Keyword(s):  
Health Information ◽  
Information Technologies ◽  
Business Processes ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Record ◽  
Record System ◽  
Health Records ◽  
Related Literature ◽  
Health Information Interoperability

With the advent of digital healthcare without borders, enormous amounts of health information are captured and computerized. As healthcare quality largely depends on the reliability of given health information, personal health records should be accessible according to patients’ mobility, even as they travel or migrate to other countries. However, since all the health information is scattered in multiple places, it is an onerous task to carry it whenever people move to other countries. To effectively and efficiently utilize health information, interoperability, which is the ability of various healthcare information technologies to exchange, to interpret, and to use data, is needed. Hence, building a robust transnational health information infrastructure with clear interoperability guidelines considering heterogeneous aspects is necessary. For this purpose, this study proposes a Transnational Health Record framework, which enables access to personal health records anywhere. We review related literature and define level-specific interoperability guidelines, business processes, and requirements for the Transnational Health Record system framework.

scholarly journals Implementing an Open Source Electronic Health Record System in Kenyan Health Care Facilities: Case Study (Preprint)

2017 ◽  
Author(s):  
Naomi Muinga ◽  
Steve Magare ◽  
Jonathan Monda ◽  
Onesmus Kamau ◽  
Stuart Houston ◽  
...  
Keyword(s):  
Health Care ◽  
Electronic Health Record ◽  
Open Source ◽  
Health Information ◽  
Health Care Facilities ◽  
Health Record ◽  
Record System ◽  
Care Facilities ◽  
Electronic Health

BACKGROUND The Kenyan government, working with international partners and local organizations, has developed an eHealth strategy, specified standards, and guidelines for electronic health record adoption in public hospitals and implemented two major health information technology projects: District Health Information Software Version 2, for collating national health care indicators and a rollout of the KenyaEMR and International Quality Care Health Management Information Systems, for managing 600 HIV clinics across the country. Following these projects, a modified version of the Open Medical Record System electronic health record was specified and developed to fulfill the clinical and administrative requirements of health care facilities operated by devolved counties in Kenya and to automate the process of collating health care indicators and entering them into the District Health Information Software Version 2 system. OBJECTIVE We aimed to present a descriptive case study of the implementation of an open source electronic health record system in public health care facilities in Kenya. METHODS We conducted a landscape review of existing literature concerning eHealth policies and electronic health record development in Kenya. Following initial discussions with the Ministry of Health, the World Health Organization, and implementing partners, we conducted a series of visits to implementing sites to conduct semistructured individual interviews and group discussions with stakeholders to produce a historical case study of the implementation. RESULTS This case study describes how consultants based in Kenya, working with developers in India and project stakeholders, implemented the new system into several public hospitals in a county in rural Kenya. The implementation process included upgrading the hospital information technology infrastructure, training users, and attempting to garner administrative and clinical buy-in for adoption of the system. The initial deployment was ultimately scaled back due to a complex mix of sociotechnical and administrative issues. Learning from these early challenges, the system is now being redesigned and prepared for deployment in 6 new counties across Kenya. CONCLUSIONS Implementing electronic health record systems is a challenging process in high-income settings. In low-income settings, such as Kenya, open source software may offer some respite from the high costs of software licensing, but the familiar challenges of clinical and administration buy-in, the need to adequately train users, and the need for the provision of ongoing technical support are common across the North-South divide. Strategies such as creating local support teams, using local development resources, ensuring end user buy-in, and rolling out in smaller facilities before larger hospitals are being incorporated into the project. These are positive developments to help maintain momentum as the project continues. Further integration with existing open source communities could help ongoing development and implementations of the project. We hope this case study will provide some lessons and guidance for other challenging implementations of electronic health record systems as they continue across Africa.

scholarly journals Examining How Internet Users Trust and Access Electronic Health Record Patient Portals: Survey Study (Preprint)

2021 ◽  
Author(s):  
Rong Yin ◽  
Katherine Law ◽  
David Neyens
Keyword(s):  
Logistic Regression ◽  
Electronic Health Record ◽  
Regression Model ◽  
Health Information ◽  
Logistic Regression Model ◽  
Survey Study ◽  
The Internet ◽  
Health Record ◽  
Patient Portals ◽  
Internet Users

BACKGROUND Electronic health record (EHR) patient portals are designed to provide medical health records to patients. Using an EHR portal is expected to contribute to positive health outcomes and facilitate patient-provider communication. OBJECTIVE Our objective was to examine how portal users report using their portals and the factors associated with obtaining health information from the internet. We also examined the desired portal features, factors impacting users’ trust in portals, and barriers to using portals. METHODS An internet-based survey study was conducted using Amazon Mechanical Turk. All the participants were adults in the United States who used patient portals. The survey included questions about how the participants used their portals, what factors acted as barriers to using their portals, and how they used and how much they trusted other web-based health information sources as well as their portals. A logistic regression model was used to examine the factors influencing the participants’ trust in their portals. Additionally, the desired features and design characteristics were identified to support the design of future portals. RESULTS A total of 394 participants completed the survey. Most of the participants were less than 35 years old (212/394, 53.8%), with 36.3% (143/394) aged between 35 and 55 years, and 9.9% (39/394) aged above 55 years. Women accounted for 48.5% (191/394) of the survey participants. More than 78% (307/394) of the participants reported using portals at least monthly. The most common portal features used were viewing lab results, making appointments, and paying bills. Participants reported some barriers to portal use including data security and limited access to the internet. The results of a logistic regression model used to predict the trust in their portals suggest that those comfortable using their portals (odds ratio [OR] 7.97, 95% CI 1.11-57.32) thought that their portals were easy to use (OR 7.4, 95% CI 1.12-48.84), and frequent internet users (OR 43.72, 95% CI 1.83-1046.43) were more likely to trust their portals. Participants reporting that the portals were important in managing their health (OR 28.13, 95% CI 5.31-148.85) and that their portals were a valuable part of their health care (OR 6.75, 95% CI 1.51-30.11) were also more likely to trust their portals. CONCLUSIONS There are several factors that impact the trust of EHR patient portal users in their portals. Designing easily usable portals and considering these factors may be the most effective approach to improving trust in patient portals. The desired features and usability of portals are critical factors that contribute to users’ trust in EHR portals. CLINICALTRIAL

scholarly journals Evaluation of the electronic health record system in maternal and child health centers of Marie Stopes International Ethiopia

2019 ◽  
Vol 3 ◽  
pp. 1655
Author(s):  
Tizita Gizaw ◽  
Mengistu Bogale ◽  
Tilahun Alemayehu
Keyword(s):  
Child Health ◽  
Electronic Health Record ◽  
Health Information ◽  
Maternal And Child Health ◽  
Care Delivery ◽  
Health Record ◽  
Record System ◽  
Cross Sectional ◽  
Electronic Health ◽  
And Child Health

Background: The Health Information Management Systems Society (HIMSS) defines an Electronic Health Record (EHR) as a longitudinal electronic record of patient health information generated by one or more encounters in any care delivery setting”. EHR systems improve quality and adaptability of care, contributing to patient safety. The system is also efficient and provides real-time administration to patients. Driven by the need to facilitate clinical and administrative process, and to reduce medical errors, Marie Stopes international Ethiopia (MSIE) implemented EHR system in its maternal and child health (MCH) centers. This study sought to evaluate the EHR system in six departments (inpatient, outpatient, pharmacy, laboratory, reception cashiers and MCH managers) of these MCH centers in terms of ease of performing tasks and satisfaction with the system. Methods: A cross-sectional method with formative evaluation was used to address the objective. A sample size of 54 were used for the investigation. The participants were from six departments (inpatient, outpatient, pharmacy, laboratory, reception cashiers and MCH managers) within three MCH centers. Data was collected using structured, self-administered questionnaires and interviews and analyzed using SPSS 20. Results: In total, 83% of respondents found that performing tasks using EHR made tasks easier; the lowest score was from Pharmacy department (48%). The overall satisfaction with EHR was 87%. The lowest score is from the indicator “the system meets my needs” (80%). Conclusions: Staffs in all department reported the EHR system as “very good” for both ease of performing their daily tasks and satisfaction with the system. In addition, the study revealed that ease of performing tasks and satisfaction with the system were varied by department and specific task within the department. It is essential to know the needs and requirements of each department before implementation of the system and user feedback for long lasting uptake and impact.

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