scholarly journals A Development of Medical Records Management System to Health Care Decision Makers using Cloud Technologies

2020 ◽  
Vol 9 (4) ◽  
pp. 1320-1323
Keyword(s):  
Health Care ◽  
Electronic Health Record ◽  
Health Care Facilities ◽  
Health Record ◽  
Record System ◽  
Cloud Data ◽  
Model Complex ◽  
Electronic Health ◽  
Clinical Records ◽  
Cloud Servers

Electronic Health Record systems continue to be incorporated into health care facilities to reduce the problems and limits of paper-based methodology but their deployment has been slow due to high investment and storage costs. The Enterprise Electronic Cloud-based Health Record System is planned, created and checked for recording, recovering, chronicling and surveying patients and other clinical records. Cloud Data fills in as a coordinates information bank over every single authoritative emergency clinic, middleware gives a typical stage to all electronic health record frameworks between remote medical clinics while a security approval server gives access to approves clients and denies unapproved clients access to records or assets in the system. In this model, complex mixes are redistributed to open cloud servers, leaving nearly the whole intricate of private key generator, sender and beneficiary. In addition, PKG communication costs with users have been optimized. In addition, we are building a comprehensive library called libabe compatible with mobile devices, and the access control mechanism is distributed in a logical environment, including public cloud servers, a laptop and an inexpensive mobile device with interactive resources.

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 Implementing an Open Source Electronic Health Record System in Kenyan Health Care Facilities: Case Study

2018 ◽  
Vol 6 (2) ◽  
pp. e22 ◽  
Author(s):  
Naomi Muinga ◽  
Steve Magare ◽  
Jonathan Monda ◽  
Onesmus Kamau ◽  
Stuart Houston ◽  
...  
Keyword(s):  
Health Care ◽  
Electronic Health Record ◽  
Open Source ◽  
Health Care Facilities ◽  
Electronic Health Record System ◽  
Health Record ◽  
Record System ◽  
Care Facilities ◽  
Electronic Health

Implementation and evaluation of Stanford Health Care store-and-forward teledermatology consultation workflow built within an existing electronic health record system

2018 ◽  
Vol 26 (3) ◽  
pp. 125-131 ◽  
Author(s):  
Grace E Kim ◽  
Olga K Afanasiev ◽  
Chris O’Dell ◽  
Christopher Sharp ◽  
Justin M Ko
Keyword(s):  
Health Care ◽  
Electronic Health Record ◽  
Primary Care Physicians ◽  
Health Record ◽  
Record System ◽  
Privacy Concerns ◽  
Successful Model ◽  
Dermatology Clinic ◽  
Electronic Health ◽  
Store And Forward

Introduction Teledermatology services that function separately from patients’ primary electronic health record (EHR) can lead to fragmented care, poor provider communication, privacy concerns and billing challenges. This study addresses these challenges by developing PhotoCareMD, a store-and-forward (SAF) teledermatology consultation workflow built entirely within an existing Epic-based EHR. Methods Thirty-six primary care physicians (PCPs) from eight outpatient clinics submitted 215 electronic consults (eConsults) for 211 patients to a Stanford Health Care dermatologist via PhotoCareMD. Comparisons were made with in-person referrals for this same dermatologist prior to initiation of PhotoCareMD. Results Compared to traditional in-person dermatology clinic visits, eConsults decreased the time to diagnosis and treatment from 23 days to 16 hours. The majority (73%) of eConsults were resolved electronically. In-person referrals from PhotoCareMD (27%) had a 50% lower cancellation rate compared with traditional referrals (11% versus 22%). The average in-person visit and documentation was 25 minutes compared with 8 minutes for an eConsult. PhotoCareMD saved 13 additional clinic hours to be made available to the dermatologist over the course of the pilot. At four patients per hour, this opens 52 dermatology clinic slots. Over 96% of patients had a favourable experience and 95% felt this service saved them time. Among PCPs, 100% would recommend PhotoCareMD to their colleagues and 95% said PhotoCareMD was a helpful educational tool. Discussion An internal SAF teledermatology workflow can be effectively implemented to increase access to and quality of dermatologic care. Our workflow can serve as a successful model for other hospitals and specialties.

scholarly journals How well is the electronic health record supporting the clinical tasks of hospital physicians? A survey of physicians at three Norwegian hospitals

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Thomas Roger Schopf ◽  
Bente Nedrebø ◽  
Karl Ove Hufthammer ◽  
Inderjit Kaur Daphu ◽  
Hallvard Lærum
Keyword(s):  
Health Care ◽  
Electronic Health Record ◽  
Electronic Health Record System ◽  
System Stability ◽  
Medical Decision ◽  
Health Record ◽  
Clinical Workflow ◽  
Online Questionnaire ◽  
Record System ◽  
Electronic Health

Abstract Background The electronic health record is expected to improve the quality and efficiency of health care. Many novel functionalities have been introduced in order to improve medical decision making and communication between health care personnel. There is however limited evidence on whether these new functionalities are useful. The aim of our study was to investigate how well the electronic health record system supports physicians in performing basic clinical tasks. Methods Physicians of three prominent Norwegian hospitals participated in the survey. They were asked, in an online questionnaire, how well the hospital’s electronic health record system DIPS supported 49 clinical tasks as well as how satisfied they were with the system in general, including the technical performance. Two hundred and eight of 402 physicians (52%) submitted a completely answered questionnaire. Results Seventy-two percent of the physicians had their work interrupted or delayed because the electronic health record hangs or crashes at least once a week, while 22% had experienced this problem daily. Fifty-three percent of the physicians indicated that the electronic health record is cumbersome to use and adds to their workload. The majority of physicians were satisfied with managing tests, e.g., requesting laboratory tests, reading test results and managing radiological investigations and electrocardiograms. Physicians were less satisfied with managing referrals. There was high satisfaction with some of the decision support functionalities available for prescribing drugs. This includes drug interaction alerts and drug allergy warnings, which are displayed automatically. However, physicians were less satisfied with other aspects of prescribing drugs, including getting an overview of the ongoing drug therapy. Conclusions In the survey physicians asked for improvements of certain electronic health record functionalities like medication, clinical workflow support including planning and better overviews. In addition, there is apparently a need to focus on system stability, number of logins, reliability and better instructions on available electronic health record features. Considerable development is needed in current electronic health record systems to improve usefulness and satisfaction.

scholarly journals Disrupted and Restored Patient Experience With Transition to New Electronic Health Record System

2021 ◽  
Vol 8 ◽  
pp. 237437352110340
Author(s):  
Dajun Tian ◽  
Christine M. Hoehner ◽  
Keith F. Woeltje ◽  
Lan Luong ◽  
Michael A. Lane
Keyword(s):  
Health Care ◽  
Electronic Health Record ◽  
Patient Experience ◽  
Healthcare Providers ◽  
Interrupted Time Series ◽  
Hospital Staff ◽  
Health Record ◽  
Record System ◽  
Electronic Health ◽  
The Impact

Transitioning from one electronic health record (EHR) system to another is of the most disruptive events in health care and research about its impact on patient experience for inpatient is limited. This study aimed to assess the impact of transitioning EHR on patient experience measured by the Hospital Consumer Assessment of Healthcare Providers and Systems composites and global items. An interrupted time series study was conducted to evaluate quarter-specific changes in patient experience following implementation of a new EHR at a Midwest health care system during 2017 to 2018. First quarter post-implementation was associated with statistically significant decreases in Communication with Nurses (−1.82; 95% CI, −3.22 to −0.43; P = .0101), Responsiveness of Hospital Staff (−2.73; 95% CI, −4.90 to −0.57; P = .0131), Care Transition (−2.01; 95% CI, −3.96 to −0.07; P = .0426), and Recommend the Hospital (−2.42; 95% CI, −4.36 to −0.49; P = .0142). No statistically significant changes were observed in the transition, second, or third quarters post-implementation. Patient experience scores returned to baseline level after two quarters and the impact from EHR transition appeared to be temporary.

Business: The Electronic Health Record: Front Line Experience

2011 ◽  
Vol 21 (1) ◽  
pp. 18-22
Author(s):  
Rosemary Griffin
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Electronic Health Record ◽  
Financial Incentives ◽  
Best Practice ◽  
Health Care Systems ◽  
The United States ◽  
Health Record ◽  
Health Trends ◽  
Electronic Health

National legislation is in place to facilitate reform of the United States health care industry. The Health Care Information Technology and Clinical Health Act (HITECH) offers financial incentives to hospitals, physicians, and individual providers to establish an electronic health record that ultimately will link with the health information technology of other health care systems and providers. The information collected will facilitate patient safety, promote best practice, and track health trends such as smoking and childhood obesity.

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

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