Materialization of Regional Health Information Networks in Greece: Electronic Health Record Barriers & Enablers

Over 90% of US hospitals provide patients with access to e-copy of their health records, but the utilization of electronic health records by the US consumers remains low. Guided by the comprehensive information-seeking model, this study used data from the National Cancer Institute’s Health Information National Trends Survey 4 (Cycle 4) and examined the factors that explain the level of electronic health record use by cancer patients. Consistent with the model, individual information-seeking factors and perceptions of security and utility were associated with the frequency of electronic health record access. Specifically, higher income, prior online information seeking, interest in accessing health information online, and normative beliefs were predictive of electronic health record access. Conversely, poorer general health status and lack of health care provider encouragement to use electronic health records were associated with lower utilization rates. The current findings provide theory-based evidence that contributes to the understanding of the explanatory factors of electronic health record use and suggest future directions for research and practice.

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Incorporating Pharmacogenomics into Health Information Technology, Electronic Health Record and Decision Support System: An Overview

Journal of Medical Systems ◽

10.1007/s10916-016-0673-4 ◽

2016 ◽

Vol 41 (2) ◽

Cited By ~ 4

Author(s):

Abdullah Alanazi

Keyword(s):

Information Technology ◽

Decision Support ◽

Decision Support System ◽

Electronic Health Record ◽

Health Information Technology ◽

Health Information ◽

Support System ◽

Health Record ◽

Electronic Health

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Search Functionality Within the Electronic Health Record and Health Information Exchange Databases

Proceedings of IMPRS ◽

10.18060/24610 ◽

2020 ◽

Vol 3 ◽

Author(s):

Brandon Gregory ◽

Jordan Hill ◽

Titus Schleyer

Keyword(s):

Electronic Health Record ◽

Health Information ◽

Patient Information ◽

Information Exchange ◽

Health Information Exchange ◽

Healthcare Delivery ◽

Healthcare Providers ◽

Health Record ◽

Search Function ◽

Electronic Health

Background and Hypothesis: In the US today, over 95% of healthcare institutions operate using the electronic health record (EHR). While proven to be a substantial improvement to medical practice, the substantial amount of retained information within those records has made searching the EHR for relevant material difficult and too time consuming. We hypothesize that by providing a search function within the EHR with added capability of collaborative filtration, physicians will be better able to retrieve important patient information and thus provide more efficient care. Project Methods: Emergency Department physicians of Sidney & Lois Eskenazi Hospital and Indiana University Health Hospital were recruited to partake in this study based on their use and familiarity of the EHR Cerner and/or Health Information Exchange (HIE) CareWeb Search function. Participants filled out a pre-interview, Likert-scale questionnaire to determine their general impressions of search functions and the frequency with which they were used. Additional insight was obtained during an interview focusing on participants’ previous experiences searching within the EHR/HIE. Participants were then shown a mock-up of potential collaborative filtering integration into CareWeb in order to collect opinions regarding the feature’s usability/practicality, display/format, and a number of suggested terms. Results: From the pilot study, current challenges that limit clinician search function use include limited time in clinician workflow, information overload, and inaccurate results. Clinicians are more likely to conduct searches when treating patients who have limited medical history, complex histories, known recent visitations, and/or who have been seen at other institutions. Participants demonstrated interest in a collaborative filtration search feature; they expressed a preference to have the feature recommend five related search terms. Potential Impact: The data from this study aims to refine the way healthcare providers search within the EHR/HIE. This will allow healthcare providers to more efficiently extract relevant patient information for improved healthcare delivery and proficient clinician workflow.

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Electronic health record use-diffusion patterns and eSharing of health information among US office-based physician practices

Health Policy and Technology ◽

10.1016/j.hlpt.2019.07.005 ◽

2019 ◽

Vol 8 (3) ◽

pp. 228-236

Author(s):

Bola F. Ekezue ◽

Jennifer Bushelle-Edghill ◽

Burcu Adivar ◽

Su Dong ◽

J. Lee Brown

Keyword(s):

Electronic Health Record ◽

Health Information ◽

Health Record ◽

Physician Practices ◽

Electronic Health

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The value of connected health information: perceptions of electronic health record users in Canada

BMC Medical Informatics and Decision Making ◽

10.1186/s12911-016-0330-3 ◽

2016 ◽

Vol 16 (1) ◽

Cited By ~ 22

Author(s):

Sukirtha Tharmalingam ◽

Simon Hagens ◽

Jennifer Zelmer

Keyword(s):

Electronic Health Record ◽

Health Information ◽

Health Record ◽

Connected Health ◽

Electronic Health

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A health information infrastructure enabling secure access to the life-long multimedia electronic health record

International Congress Series ◽

10.1016/j.ics.2004.03.275 ◽

2004 ◽

Vol 1268 ◽

pp. 289-294 ◽

Cited By ~ 8

Author(s):

M Tsiknakis ◽

D Katehakis ◽

S.C Orphanoudakis

Keyword(s):

Electronic Health Record ◽

Health Information ◽

Information Infrastructure ◽

Health Record ◽

Secure Access ◽

Electronic Health

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Data Incompleteness Preventing Information Communication from Hospital Information Systems to the Iranian National Electronic Health Record (SEPAS)

Frontiers in Health Informatics ◽

10.30699/fhi.v10i1.320 ◽

2021 ◽

Vol 10 (1) ◽

pp. 97

Author(s):

Reza Abbasi ◽

Reza Khajouei ◽

Monireh Sadeghi Jabali ◽

Moghadameh Mirzaei

Keyword(s):

Information System ◽

Information Systems ◽

Electronic Health Record ◽

Health Information ◽

Information Quality ◽

Clinical Information ◽

Health Information Systems ◽

Hospital Information Systems ◽

Health Record ◽

Electronic Health

Introduction: One of the well-known problems related to the information quality is the information incompleteness in health information systems. The purpose of this study was to investigate the completeness rate of patients’ information recorded in the hospital information system, sending information from which to Iranian electronic health record system (SEPAS) seemed to be unsuccessful.Methods: This study was conducted in six hospitals associated with Kerman University of Medical Sciences (KUMS) in Iran. In this study, 882 records which had failed to be sent from three hospital information systems to SEPAS were reviewed and the data were collected using a checklist. Data were analyzed using the descriptive and inferential statistics with SPSS.18.Results: A total of 18758 demographic and clinical information elements were examined. The rate of completeness was 55%. The highest completeness rate of demographic information was related to name, surname, gender, nationality, date of birth, father's name, marital status, place of residence, telephone number (79-100%), and in clinical information it was related to the final diagnosis (74%). The completeness rate of some information elements was significantly different among the hospitals (p <0.05). The completeness rate of information communicated to the Iranian national electronic health record was at a moderate level.Conclusion: This study showed that completeness rate is different among hospitals using the same hospital information system. The results of this study can help the health policymakers and developers of the national electronic health record in developing countries to improve completeness rate and also information quality in health information systems.

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