Electronic Healthcare Record

2021 ◽  
pp. 1614-1614
Author(s):  
Simon Glew ◽  
Elizabeth M Ford ◽  
Helen Elizabeth Smith

Introduction and Objectives The accuracy of conclusions based on Electronic Healthcare Record (EHR) research is highly dependent on the correct selection of descriptors (codes) by users. We aimed to evaluate the feasibility and acceptability of filmed vignette monologues as a resource-light method of assessing and comparing how different EHR users record the same clinical scenario. Methods Six short monologues of actors portraying patients presenting allergic conditions to their General Practitioners were filmed head-on then electronically distributed for the study; no researcher was present during data collection. The method was assessed by participant uptake, reported ease of completion by participants, compliance with instructions, the receipt of interpretable data by researchers, and participant perceptions of vignette quality, realism and information content. Results 22 participants completed the study, reporting only minor difficulties. 132 screen prints were returned electronically, enabling analysis of codes, free text and EHR features. Participants assigned a quality rating of 7.7/10 (range 2-10) to the vignettes and rated the extent to which vignettes reflected real-life (86-100%). Between 1 and 2 hours were required to complete the task. Full compliance with instructions varied between participants but was largely successful. Conclusions Filmed monologues are a reproducible, standardized method which require few resources, yet allow clear assessment of clinicians’ and EHRs systems’ impact on documentation. The novel nature of this method necessitates clear instructions so participants can fully complete the study without face to face researcher oversight.


2019 ◽  
Author(s):  
Patrick Arena ◽  
Jingping Mo ◽  
Charu Sabharwal ◽  
Elizabeth Begier ◽  
Xiaofeng Zhou ◽  
...  

Abstract Background: Although stroke is an uncommon but life-threatening complication among spinal surgery patients, the recognition of this adverse event is critical given the aging population undergoing surgical procedures. The objective of this study was to estimate the incidence of stroke among adults undergoing elective posterior lumbar fusion (PLF) during post-operative risk windows and among different subgroups. Methods: A retrospective cohort study using a longitudinal electronic healthcare record (EHR) database was conducted from January 1, 2007 to June 30, 2018. Elective PLF, stroke, and select clinical characteristics were defined based on International Classification of Disease codes. Patients aged 18 to 85 years with ≥ 183 days of enrollment in the database prior to undergoing elective PLF were followed from the index date until the occurrence of stroke, death, loss to follow-up, or end of study period, whichever occurred first. Incidence proportions (IPs) and rates (IRs) of stroke were estimated in the following risk windows: index hospitalization, ≤ 30 days, ≤ 90 days, ≤ 180 days, and ≤ 365 days post-operation Results: A total of 43,063 patients were eligible for the study. The IP of stroke following elective PLF ranged from 0.29% (95% confidence interval [CI]: 0.25%, 0.35%) during index hospitalization to 1.12% (95% CI: 1.03%, 1.23%) ≤ 365 days post-operation; the IR of stroke following elective PLF per 1000 person-years decreased consistently from 229.08 (95% CI: 192.38, 272.78) during index hospitalization to 13.68 (95% CI: 12.51, 14.96) ≤ 365 days post-operation. Stratified analyses revealed that older patients had a higher incidence of stroke. Additionally, black patients had higher stroke incidences than white, Asian, or other patients. Furthermore, the incidence of post-operative stroke was higher among patients with a history of type 2 diabetes than among patients without such history. Conclusions: The incidence of stroke following elective PLF found here using an EHR database is slightly higher than that reported in the literature; however, the discrepancy is due to differences in the variable definitions, study populations, follow-up periods, and data sources between our study and those in the literature.


2011 ◽  
pp. 2808-2828
Author(s):  
Alexander Berler ◽  
Sotiris Pavlopoulos ◽  
Dimitris Koutsouris

It is paradoxical that, although several major technological discoveries such as Magnetic Resonance Imaging and Nuclear Medicine and Digital Radiology, which facilitate improvement in patient care, have been satisfactorily embraced by the medical community, this has not been the case with Healthcare Informatics. Thus, it can be argued that issues such as Data Management, Data Modeling, and Knowledge Management have a long way to go before reaching the maturity level that other technologies have achieved in the medical sector. This chapter proposes to explore trends and best practices regarding knowledge management from the viewpoint of performance management, based upon the use of Key Performance Indicators in healthcare systems. By assessing both balanced scorecards and quality assurance techniques in healthcare, it is possible to foresee an electronic healthcare record centered approach which drives information flow at all levels of the day-to-day process of delivering effective and managed care, and which finally moves towards information assessment and knowledge discovery.


Author(s):  
Kelvin P Jordan ◽  
Karel GM Moons

Electronic healthcare record (EHR) data, collected during the daily business of patient consultations and treatments, offer huge opportunities to expand the range and scale of prognosis research, in particular because of the real-time and continuous recording of potential prognostic factors and health-related events, and the amount of data and individuals involved. However, with these opportunities come challenges related to the size and complexity of EHR data. This chapter provides an overview of these issues.


Author(s):  
Snezana Sucurovic

This chapter presents security solutions in integrated patient-centric Web-based health-care information systems, also known as electronic healthcare record (EHCR). Security solutions in several projects have been presented and in particular a solution for EHCR integration from scratch. Implementations of Public key infrastructure, privilege management infrastructure, role based access control and rule based access control in EHCR have been presented. Regarding EHCR integration from scratch architecture and security have been proposed and discussed. This integration is particularly suitable for developing countries with wide spread Internet while at the same time the integration of heterogeneous systems is not needed. The chapter aims at contributing to initiatives for implementation of national and transnational EHCR in security aspect.


2011 ◽  
pp. 1949-1964
Author(s):  
Snezana Sucurovic

This chapter presents security solutions in integrated patient-centric Web-based health-care information systems, also known as electronic healthcare record (EHCR). Security solutions in several projects have been presented and in particular a solution for EHCR integration from scratch. Implementations of Public key infrastructure, privilege management infrastructure, role based access control and rule based access control in EHCR have been presented. Regarding EHCR integration from scratch architecture and security have been proposed and discussed. This integration is particularly suitable for developing countries with wide spread Internet while at the same time the integration of heterogeneous systems is not needed. The chapter aims at contributing to initiatives for implementation of national and transnational EHCR in security aspect.


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