Getting Personal About Electronic Health Records: Modeling the Beliefs of Personal Health Record Users and Non-Users

2006 ◽  
Author(s):  
Corey M. Angst ◽  
Ritu Agarwal
Keyword(s):  
Electronic Health Records ◽  
Personal Health Record ◽  
Personal Health ◽  
Health Record ◽  
Health Records ◽  
Electronic Health

scholarly journals The effect of hospital information systems on healthcare facilities efficiency indicators

2015 ◽  
Vol 96 (2) ◽  
pp. 227-233
Author(s):  
Sh M Gimadeev ◽  
A I Latypov ◽  
S V Radchenko ◽  
D F Khaziakhmetov
Keyword(s):  
Information Systems ◽  
Electronic Health Records ◽  
Personal Health Record ◽  
Hospital Information Systems ◽  
Operating Conditions ◽  
Personal Health ◽  
Health Record ◽  
Health Records ◽  
Healthcare Facilities ◽  
Electronic Health

Aim. Comparative assessment of an automation facilities influence on labor input and business processes’ productivity indicators related to primary functions of healthcare facilities of different types.Methods. We performed medical personnel’s work timing in emergency rooms, as well as medical records timing in clinical departments. The automated electronic health records processing while operating hospital information systems created by authors among different types of healthcare facilities was also performed. Output data included personal health record operation periods values and system events timestamps.Results. The data concerning hospital information systems’ influence on electronic health records operating time changes and hospitalization delays was obtained. A correlation between the initial hospitalization delay and hospital capacity was discovered (r=0.917). The emergency room automation significantly reduces hospitalization delays. Under clinical information system operating conditions, the primary examination time recording increases twice, while the time spent for all other electronic health records decreases in higher order. Considerable difference between primary examination recording time and the time, necessary for other personal health record registrations, has satisfactory interpretation within the heterogeneous medical data sources integration model, but not within usability model. In general, the gained data does not confirm results of previously published researches pointing the increased time doctors spent for data management in automation conditions.Conclusion. Hospital information systems implementation improved the specialist’s labor productivity and main working processes work capacity. The obtained data indicate a greater influence of automation in large healthcare facilities and reject usability hypothesis of hospital information systems efficiency.

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.

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.

Privacy Considerations for Electronic Health Records

2012 ◽  
pp. 1387-1402
Author(s):  
Mary Kuehler ◽  
Nakeisha Schimke ◽  
John Hale
Keyword(s):  
Technology Policy ◽  
Medical Images ◽  
Medical Condition ◽  
Personal Health Record ◽  
Record Management ◽  
Health Record ◽  
Patient Privacy ◽  
Management Tools ◽  
Health Records ◽  
Electronic Health

Electronic Health Record (EHR) systems are a powerful tool for healthcare providers and patients. Both groups benefit from unified, easily accessible record management; however, EHR systems also bring new threats to patient privacy. The reach of electronic patient data extends far beyond the healthcare realm. Patients are managing their own health records through personal health record (PHR) service providers, and businesses outside of the healthcare industry are finding themselves increasingly linked to medical data. The Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule and other regulatory measures establish baseline standards for protecting patient privacy, but the inclusion of medical images in patient records presents unique challenges. Medical images often require specialized management tools, and some medical images may reveal a patient’s identity or medical condition through re-linkage or inherent identifiability. After exploring EHR systems in-depth and reviewing health information policy, the chapter explores how privacy challenges associated with EHR systems and medical images can be mitigated through the combined efforts of technology, policy, and legislation designed to reduce the risk of re-identification.

Personal Health Records Systems Go Mobile

2011 ◽  
pp. 750-772
Author(s):  
Phillip Olla ◽  
Joseph Tan
Keyword(s):  
Health Information ◽  
Mobile Device ◽  
Personal Health Record ◽  
Personal Health Records ◽  
Personal Health ◽  
Health Record ◽  
Health Records ◽  
Extant Literature ◽  
The Past ◽  
Secure Environment

This chapter provides an overview of mobile personal health record (MPHR) systems. A Mobile personal health record is an eclectic application through which patients can access, manage, and share their health information from a mobile device in a private, confidential, and secure environment. Personal health records have evolved over the past three decades from a small card or booklet with immunizations recorded into fully functional mobile accessible portals, and it is the PHR evolution outside of the secure healthcare environment that is causing some concerns regarding privacy. Specifically, the chapter reviews the extant literature on critical evaluative components to be considered when assessing MPHR systems.

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