An integrated electronic health record and information system for Australia?

2000 ◽  
Vol 172 (1) ◽  
pp. 25-27 ◽  
Author(s):  
Christopher D Mount ◽  
Christopher W Kelman ◽  
Leonard R Smith ◽  
Robert M Douglas
Keyword(s):  
Information System ◽  
Electronic Health Record ◽  
Health Record ◽  
Electronic Health

scholarly journals Creation and Use of an Electronic Health Record Reporting Database to Improve a Laboratory Test Utilization Program

2018 ◽  
Vol 09 (03) ◽  
pp. 519-527 ◽  
Author(s):  
Danielle Kurant ◽  
Jason Baron ◽  
Genti Strazimiri ◽  
Kent Lewandrowski ◽  
Joseph Rudolf ◽  
...  
Keyword(s):  
Information System ◽  
Laboratory Test ◽  
Electronic Health Record ◽  
Health Care Systems ◽  
Management Program ◽  
Health Record ◽  
Laboratory Information System ◽  
Utilization Management ◽  
Laboratory Utilization ◽  
Electronic Health

Objectives Laboratory-based utilization management programs typically rely primarily on data derived from the laboratory information system to analyze testing volumes for trends and utilization concerns. We wished to examine the ability of an electronic health record (EHR) laboratory orders database to improve a laboratory utilization program. Methods We obtained a daily file from our EHR containing data related to laboratory test ordering. We then used an automated process to import this file into a database to facilitate self-service queries and analysis. Results The EHR laboratory orders database has proven to be an important addition to our utilization management program. We provide three representative examples of how the EHR laboratory orders database has been used to address common utilization issues. We demonstrate that analysis of EHR laboratory orders data has been able to provide unique insights that cannot be obtained by review of laboratory information system data alone. Further, we provide recommendations on key EHR data fields of importance to laboratory utilization efforts. Conclusion We demonstrate that an EHR laboratory orders database may be a useful tool in the monitoring and optimization of laboratory testing. We recommend that health care systems develop and maintain a database of EHR laboratory orders data and integrate this data with their laboratory utilization programs.

scholarly journals The Benefits and Challenges of an Interfaced Electronic Health Record and Laboratory Information System: Effects on Laboratory Processes

2017 ◽  
Vol 141 (3) ◽  
pp. 410-417 ◽  
Author(s):  
Athena K. Petrides ◽  
Ida Bixho ◽  
Ellen M. Goonan ◽  
David W. Bates ◽  
Shimon Shaykevich ◽  
...  
Keyword(s):  
Information System ◽  
Electronic Health Record ◽  
Government Regulation ◽  
Turnaround Time ◽  
Health Record ◽  
Laboratory Information System ◽  
Before And After ◽  
Electronic Health ◽  
Ordered Data ◽  
The Impact

Context.— A recent government regulation incentivizes implementation of an electronic health record (EHR) with computerized order entry and structured results display. Many institutions have also chosen to interface their EHR with their laboratory information system (LIS). Objective.— To determine the impact of an interfaced EHR-LIS on laboratory processes. Design.— We analyzed several different processes before and after implementation of an interfaced EHR-LIS: the turnaround time, the number of stat specimens received, venipunctures per patient per day, preanalytic errors in phlebotomy, the number of add-on tests using a new electronic process, and the number of wrong test codes ordered. Data were gathered through the LIS and/or EHR. Results.— The turnaround time for potassium and hematocrit decreased significantly (P = .047 and P = .004, respectively). The number of stat orders also decreased significantly, from 40% to 7% for potassium and hematocrit, respectively (P < .001 for both). Even though the average number of inpatient venipunctures per day increased from 1.38 to 1.62 (P < .001), the average number of preanalytic errors per month decreased from 2.24 to 0.16 per 1000 specimens (P < .001). Overall there was a 16% increase in add-on tests. The number of wrong test codes ordered was high and it was challenging for providers to correctly order some common tests. Conclusions.— An interfaced EHR-LIS significantly improved within-laboratory turnaround time and decreased stat requests and preanalytic phlebotomy errors. Despite increasing the number of add-on requests, an electronic add-on process increased efficiency and improved provider satisfaction. Laboratories implementing an interfaced EHR-LIS should be cautious of its effects on test ordering and patient venipunctures per day.

Electronic Health Record Proposal for Long-Term Preservation

2013 ◽  
pp. 529-548
Author(s):  
Juanjo Bote
Keyword(s):  
Information System ◽  
Electronic Health Record ◽  
Digital Libraries ◽  
Reference Model ◽  
Digital Preservation ◽  
Health Record ◽  
Information Unit ◽  
Term Basis ◽  
Electronic Health

This chapter introduces a model approach to long-term digital preservation of Electronic Health Record (EHR). The long-term digital preservation is an emerging trend in the environment of digital libraries. However, legal or business needs may cause the use of digital preservation strategies in different fields. This is the case of the EHR as part of the information system of a healthcare institution. After a reasonable space of time without activity, an EHR becomes a passive information unit. Consequently, this passive information unit remains safe in a separate information system where the main purpose is digitally preserving this information on a long-term basis. There are two appropriate methodologies, Trustworthy Repository Audit and Certification Criteria (TRAC) and a Reference Model for Open Archival Information System (OAIS). These methodologies can widely be adopted by health care organizations to preserve EHR in the long-term.

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 Stand-alone Laboratory Information Systems Versus Laboratory Modules Incorporated in the Electronic Health Record

2015 ◽  
Vol 139 (3) ◽  
pp. 311-318 ◽  
Author(s):  
John H. Sinard ◽  
William J. Castellani ◽  
Myra L. Wilkerson ◽  
Walter H. Henricks
Keyword(s):  
Decision Making ◽  
Information System ◽  
Electronic Health Record ◽  
Active Role ◽  
Decision Making Process ◽  
Health Record ◽  
Pathology Laboratory ◽  
Multiple Dimensions ◽  
Electronic Health ◽  
Laboratory Information Systems

The increasing availability of laboratory information management modules within enterprise electronic health record solutions has resulted in some institutional administrators deciding which laboratory information system will be used to manage workflow within the laboratory, often with minimal input from the pathologists. This article aims to educate pathologists on many of the issues and implications this change may have on laboratory operations, positioning them to better evaluate and represent the needs of the laboratory during this decision-making process. The experiences of the authors, many of their colleagues, and published observations relevant to this debate are summarized. There are multiple dimensions of the interdependency between the pathology laboratory and its information system that must be factored into the decision. Functionality is important, but management authority and gap-ownership are also significant elements to consider. Thus, the pathologist must maintain an active role in the decision-making process to ensure the success of the laboratory.

scholarly journals Nurturing the digital baby: Open innovation for development and optimization

2020 ◽  
Vol 26 (4) ◽  
pp. 2407-2421
Author(s):  
Brendan Paul Murphy ◽  
Paidi O’Raghallaigh ◽  
Michelle Carr
Keyword(s):  
Information System ◽  
Action Research ◽  
Electronic Health Record ◽  
Design Research ◽  
System Development ◽  
Research Approach ◽  
Health Record ◽  
Information System Development ◽  
Action Research Approach ◽  
Electronic Health

The primary aim around developing and optimizing an electronic health record is to improve patient care and population health. The objective of this study is to design and evaluate an action research approach for the optimization of the design of a summary page artefact within an electronic health record for newborn healthcare. An action research approach was chosen for its participatory democratic process for developing practical knowledge and solutions. Collaborative workshops lead by an independent graphic facilitator with a ‘bottom up’ approach, involving self-selected motivated members from multidisciplinary healthcare teams, were designed and conducted. To evaluate this approach, insights were drawn from behavioural and design science paradigms to demonstrate that knowledge and understanding of the design problem and its solution were acquired in building the optimized summary page artefact. Information system development for healthcare requires consideration not just of what we do but how and why we do things. Our analysis demonstrates that action design research represents an agile and lean approach for successful optimization and implementation of information system development in healthcare.

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