Errors and causes of communication failures from hospital information systems to electronic health record: A record-review study

2018 ◽  
Vol 119 ◽  
pp. 47-53 ◽  
Author(s):  
Reza Khajouei ◽  
Reza Abbasi ◽  
Moghaddameh Mirzaee
Keyword(s):  
Information Systems ◽  
Electronic Health Record ◽  
Hospital Information Systems ◽  
Health Record ◽  
Review Study ◽  
Electronic Health ◽  
Record Review

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

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.

scholarly journals Information systems and the electronic health record in primary health care

2007 ◽  
Vol 15 (3) ◽  
pp. 187-192
Author(s):  
Milica Katić ◽  
Dragan Soldo ◽  
Zlata Ozvačić ◽  
Sanja Blažeković-Milaković ◽  
Mladenka Vrcić-Keglević ◽  
...  
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Information Systems ◽  
Electronic Health Record ◽  
Health Record ◽  
Primary Health ◽  
Electronic Health

scholarly journals Clinically Excellent Use of the Electronic Health Record: Review

10.2196/10426 ◽  
2018 ◽  
Vol 5 (4) ◽  
pp. e10426 ◽  
Author(s):  
Leah Wolfe ◽  
Margaret Smith Chisolm ◽  
Fuad Bohsali
Keyword(s):  
Electronic Health Record ◽  
Health Record ◽  
Electronic Health ◽  
Record Review

scholarly journals Patients with unexplained mismatch repair deficiency are interested in updated genetic testing

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Jessica Omark ◽  
Eduardo Vilar ◽  
Y Nancy You ◽  
Leslie Dunnington ◽  
Sarah Noblin ◽  
...  
Keyword(s):  
Genetic Testing ◽  
Electronic Health Record ◽  
Mismatch Repair ◽  
Family Members ◽  
Health Record ◽  
Mismatch Repair Deficiency ◽  
Repair Deficiency ◽  
Perceived Impact ◽  
Electronic Health ◽  
Record Review

Abstract Background Individuals who have colorectal or endometrial cancers displaying loss of immunohistochemical staining of one or more mismatch repair proteins without an identifiable causative germline pathogenic variant have unexplained mismatch repair deficiency (UMMRD). Comprehensive germline genetic testing for Lynch syndrome (LS) includes sequencing and deletion/duplication analysis of MLH1, MSH2, MSH6, and PMS2, deletion analysis of EPCAM, and MSH2 inversion analysis. Updated genetic testing to include elements of comprehensive LS testing not previously completed could further clarify LS status in individuals with UMMRD, allowing for tailored screening guidelines for affected individuals and their family members. However, patient understanding of the potential impact of updated genetic testing for LS is unclear. This study aimed to evaluate the interest in and perceived impact of updated genetic testing among individuals with UMMRD at a tertiary academic center. Methods A survey evaluating interest in and perceived impact of updated genetic testing was mailed to 98 potential participants. Electronic health record review was completed for all individuals meeting eligibility criteria. Thirty-one individuals responded to the survey. Results Results indicate this population is highly interested in updated genetic testing with the perceived impact being primarily for family members to have appropriate genetic testing and screening. Electronic health record review indicates that clinicians have an evolving understanding of causes of UMMRD, representing a potential change in assessment of cancer risk. Conclusions Updated risk assessment and genetic counseling with a discussion of the benefits and limitations of germline and somatic genetic testing, is essential as the understanding of UMMRD and genetic testing recommendations for this population evolve.

Benefits of Both Physical Assessment and Electronic Health Record Review to Assess Frailty Prior to Heart Transplant

2021 ◽  
Author(s):  
Yoon Kyung Lee ◽  
Marina Shukman ◽  
Reshma Biniwale ◽  
Abbas Ardehali ◽  
Megan Kamath ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Heart Transplant ◽  
Health Record ◽  
Physical Assessment ◽  
Electronic Health ◽  
Record Review

scholarly journals Healthcare staff digital literacy levels and their attitudes towards information systems

2019 ◽  
Vol 26 (1) ◽  
pp. 592-612 ◽  
Author(s):  
Angeline Kuek ◽  
Sharon Hakkennes
Keyword(s):  
Information Systems ◽  
Electronic Health Record ◽  
Digital Literacy ◽  
Health Record ◽  
Chi Square ◽  
Record System ◽  
Confidence Levels ◽  
Positive Attitudes ◽  
Electronic Health ◽  
Chi Square Analysis

This study aimed to assess the digital literacy levels and attitudes towards information systems of staff in a health service that will be implementing an electronic health record so that barriers towards implementation could be addressed. A survey measuring staff confidence levels and their attitudes towards information systems was developed. Data were collected over a five-week period, with data analysed using frequency analysis and a chi-square analysis. There were 407 respondents to the survey. The majority (70-80%) of which reported high digital literacy levels, expressing confidence in using technology. Respondents also reported positive attitudes towards information systems. However, one-fifth reported anxiety using information systems. Given poor staff engagement with information systems adversely affects the safety and quality of patient care, health services should provide targeted education and training to address staff with low digital literacy levels and/or confidence with using information systems prior to implementation of an electronic health record system.

scholarly journals Best Paper Selection

2020 ◽  
Vol 29 (01) ◽  
pp. 167-168
Keyword(s):  
Information Systems ◽  
Electronic Health Record ◽  
Rare Disease ◽  
Data Driven ◽  
Health Record ◽  
Quality Changes ◽  
Disease Knowledge ◽  
Data Driven Approach ◽  
Knowledge Enrichment ◽  
Electronic Health

Burek P, Scherf N, Herre H. Ontology patterns for the representation of quality changes of cells in time. J Biomed Semantics 2019;10(1):16 https://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-019-0206-4 Denaxas S, Gonzalez-Izquierdo A, Direk K, Fitzpatrick NK Fatemifar G, Banerjee A, Dobson RJB, Howe LJ, Kuan V, Lumbers RT, Pasea L, Patel RS, Shah AD, Hingorani AD, Sudlow C, Hemingway H. UK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. J Am Med Inform Assoc 2019;26(12):1545-59 https://academic.oup.com/jamia/article/26/12/1545/5536916 Rector A, Schulz S, Rodrigues J-M, Chute CG, Solbrig H. On beyond Gruber: “Ontologies” in today's biomedical information systems and the limits of OWL. J Biomed Inform: X 2019 Jun 1;2:100002 https://academic.oup.com/jamia/article/26/12/1545/5536916 Shen F, Zhao Y, Wang L, Mojarad MR, Wang Y, Liu S, Liu H. Rare disease knowledge enrichment through a data-driven approach. BMC Med Inform Decis Mak 2019;19(1):32 https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-019-0752-9

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