OBJECTIVES: Open-source Electronic Health Record (EHR) systems have gained importance. The main aim of our research is to guide organizational choice by comparing the features, functionality, and user-facing system performance of the five most popular open-source EHR systems. METHODS: We performed qualitative content analysis with a directed approach on recently published literature (2012–2017) to develop an integrated set of criteria to compare the EHR systems. The functional criteria are an integration of the literature, meaningful use criteria, and the Institute of Medicine's functional requirements of EHR, whereas the user-facing system performance is based on the time required to perform basic tasks within the EHR system. RESULTS: Based on the Alexa web ranking and Google Trends, the five most popular EHR systems at the time of our study were OSHERA VistA, GNU Health, the Open Medical Record System (OpenMRS), Open Electronic Medical Record (OpenEMR), and OpenEHR. We also found the trends in popularity of the EHR systems and the locations where they were more popular than others. OpenEMR met all the 32 functional criteria, OSHERA VistA met 28, OpenMRS met 12 fully and 11 partially, OpenEHR-based EHR met 10 fully and 3 partially, and GNU Health met the least with only 10 criteria fully and 2 partially. CONCLUSIONS: Based on our functional criteria, OpenEMR is the most promising EHR system, closely followed by VistA. With regards to user-facing system performance, OpenMRS has superior performance in comparison to OpenEMR.
Electronic Health Records ; Electronic Prescribing ; Meaningful Use ; Medical Order Entry Systems ; Medical Records

OBJECTIVES: The usability of clinical information systems (CISs) is known to be an essential consideration in ensuring patient safety as well as integrating clinical flow. This study aimed to determine how usability and safety guidelines of CIS consider clinical workflow through a systematic review in terms of the target systems, methodology, and guideline components of relevant articles. METHODS: A literature search was conducted for articles published from 2000 to 2015 in PubMed, Cochrane, EMBASE, Web of Science, and CINAHL. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement method was employed. Articles containing recommendations, principles, and evaluation items for CIS usability and safety were included. The selected articles were classified according to article type, methodology, and target systems. Taking clinical workflow into consideration, the components of guidelines were extracted and classified. RESULTS: A total of 7,401 articles were identified by keyword search. From the 76 articles remaining after abstract screening, 15 were selected through full-text review. Literature review (n = 7) was the most common methodology, followed by expert opinions (n = 6). Computerized physician order entry (n = 6) was the most frequent system. Four articles considered the entire process of clinical tasks, and two articles considered the principles of the entire process of user interface affecting clinical workflow. Only two articles performed heuristic evaluations of CISs. CONCLUSIONS: The usability and safety guidelines of CISs need improvement in guideline development methodology and with consideration of clinical workflow.
Expert Testimony ; Heuristics ; Hospital Information Systems ; Information Systems* ; Mass Screening ; Medical Order Entry Systems ; Methods ; Patient Safety ; User-Computer Interface

With the advances in the field of oncology, imaging is increasingly used in the follow-up of cancer patients, leading to concerns about over-utilization. Therefore, it has become imperative to make imaging more evidence-based, efficient, cost-effective and equitable. This review explores the strategies and tools to make diagnostic imaging more evidence-based, mainly in the context of follow-up of cancer patients.
Decision Support Systems, Clinical ; Diagnostic Imaging ; Follow-Up Studies ; Humans ; Medical Order Entry Systems

OBJECTIVES: To design a cloud computing-based Healthcare Software-as-a-Service (SaaS) Platform (HSP) for delivering healthcare information services with low cost, high clinical value, and high usability. METHODS: We analyzed the architecture requirements of an HSP, including the interface, business services, cloud SaaS, quality attributes, privacy and security, and multi-lingual capacity. For cloud-based SaaS services, we focused on Clinical Decision Service (CDS) content services, basic functional services, and mobile services. Microsoft's Azure cloud computing for Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) was used. RESULTS: The functional and software views of an HSP were designed in a layered architecture. External systems can be interfaced with the HSP using SOAP and REST/JSON. The multi-tenancy model of the HSP was designed as a shared database, with a separate schema for each tenant through a single application, although healthcare data can be physically located on a cloud or in a hospital, depending on regulations. The CDS services were categorized into rule-based services for medications, alert registration services, and knowledge services. CONCLUSIONS: We expect that cloud-based HSPs will allow small and mid-sized hospitals, in addition to large-sized hospitals, to adopt information infrastructures and health information technology with low system operation and maintenance costs.
Commerce ; Computer Systems ; Decision Support Systems, Clinical ; Delivery of Health Care* ; Electronic Health Records ; Information Services ; Medical Informatics ; Medical Order Entry Systems ; Privacy ; Soaps ; Social Control, Formal

BACKGROUND AND PURPOSE: Process improvement (PI) is an approach for enhancing the existing quality improvement process by making changes while keeping the existing process. We have shown that implementation of a stroke code program using a computerized physician order entry system is effective in reducing the in-hospital time delay to thrombolysis in acute stroke patients. We investigated whether implementation of this PI could further reduce the time delays by continuous improvement of the existing process. METHODS: After determining a key indicator [time interval from emergency department (ED) arrival to intravenous (IV) thrombolysis] and conducting data analysis, the target time from ED arrival to IV thrombolysis in acute stroke patients was set at 40 min. The key indicator was monitored continuously at a weekly stroke conference. The possible reasons for the delay were determined in cases for which IV thrombolysis was not administered within the target time and, where possible, the problems were corrected. The time intervals from ED arrival to the various evaluation steps and treatment before and after implementation of the PI were compared. RESULTS: The median time interval from ED arrival to IV thrombolysis in acute stroke patients was significantly reduced after implementation of the PI (from 63.5 to 45 min, p=0.001). The variation in the time interval was also reduced. A reduction in the evaluation time intervals was achieved after the PI [from 23 to 17 min for computed tomography scanning (p=0.003) and from 35 to 29 min for complete blood counts (p=0.006)]. CONCLUSIONS: PI is effective for continuous improvement of the existing process by reducing the time delays between ED arrival and IV thrombolysis in acute stroke patients.
Blood Cell Count ; Emergency Medical Services ; Emergency Service, Hospital ; Humans ; Medical Order Entry Systems ; Quality Improvement ; Statistics as Topic ; Stroke*

OBJECTIVES: Some hospitals have implemented computerized physician order entry (CPOE) systems to reduce the medical error rates. However, research in this area has been very limited, especially regarding the impact of CPOE use on the reduction of prescribing errors. Moreover, the past studies have dealt with the overall impact of CPOE on the reduction of broadly termed "medical errors", and they have not specified which medical errors have been reduced by CPOE. Furthermore, the majority of the past research in this field has been either qualitative or has not used robust empirical techniques. This research examined the impacts of usability of CPOE systems on the reduction of doctors' prescribing errors. METHODS: One hundred and sixty-six questionnaires were used for quantitative data analyses. Since the data was not normally distributed, partial least square path modelling-as the second generation of multivariate data analyses-was applied to analyze data. RESULTS: It was found that the ease of use of the system and information quality can significantly reduce prescribing errors. Moreover, the user interface consistency and system error prevention have a significant positive impact on the perceived ease of use. More than 50% of the respondents believed that CPOE reduces the likelihood of drug allergy, drug interaction, and drug dosing errors thus improving patient safety. CONCLUSIONS: Prescribing errors in terms of drug allergy, drug interaction, and drug dosing errors are reduced if the CPOE is not error-prone and easy to use, if the user interface is consistent, and if it provides quality information to doctors.
Drug Hypersensitivity ; Drug Interactions ; Humans ; Medical Errors ; Medical Order Entry Systems ; Statistics as Topic ; Surveys and Questionnaires

OBJECTIVES: The purpose of this study was to design an integrated data management system based on the POCT1-A2, LIS2-A, LIS2-A2, and HL7 standard to ensure data interoperability between mobile equipment, such as point-of-care testing equipment and the existing hospital data system, its efficiency was also evaluated. METHODS: The method of this study was intended to design and realize a data management system which would provide a solution for the problems that occur when point-of-care testing equipment is introduced to existing hospital data, after classifying such problems into connectivity, integration, and interoperability. This study also checked if the data management system plays a sufficient role as a bridge between the point-of-care testing equipment and the hospital information system through connection persistence and reliability testing, as well as data integration and interoperability testing. RESULTS: In comparison with the existing system, the data management system facilitated integration by improving the result receiving time, improving the collection rate, and by enabling the integration of disparate types of data into a single system. And it was found out that we can solve the problems related to connectivity, integration and interoperability through generating the message in standardized types. CONCLUSIONS: It is expected that the proposed data management system, which is designed to improve the integration point-of-care testing equipment with existing systems, will establish a solid foundation on which better medical service may be provided by hospitals by improving the quality of patient service.
Clinical Laboratory Information Systems ; Database Management Systems ; Dietary Sucrose ; Hospital Information Systems ; Humans ; Information Systems ; Medical Order Entry Systems ; Point-of-Care Systems

PURPOSE: The purpose of this cross-sectional study was to examine current status of IT-based medication error prevention system construction and the relationships among system construction, medication error management climate and perception for system use. METHODS: The participants were 124 patient safety chief managers working for 124 hospitals with over 300 beds in Korea. The characteristics of the participants, construction status and perception of systems (electric pharmacopoeia, electric drug dosage calculation system, computer-based patient safety reporting and bar-code system) and medication error management climate were measured in this study. The data were collected between June and August 2011. Descriptive statistics, partial Pearson correlation and MANCOVA were used for data analysis. RESULTS: Electric pharmacopoeia were constructed in 67.7% of participating hospitals, computer-based patient safety reporting systems were constructed in 50.8%, electric drug dosage calculation systems were in use in 32.3%. Bar-code systems showed up the lowest construction rate at 16.1% of Korean hospitals. Higher rates of construction of IT-based medication error prevention systems resulted in greater safety and a more positive error management climate prevailed. CONCLUSION: The supportive strategies for improving perception for use of IT-based systems would add to system construction, and positive error management climate would be more easily promoted.
Adult ; Female ; Health Personnel/*psychology ; Hospital Information Systems ; Humans ; Male ; Medical Order Entry Systems ; Medication Errors/*prevention & control ; Medication Systems, Hospital/statistics & numerical data ; Middle Aged ; Perception ; Quality Assurance, Health Care ; Safety Management/statistics & numerical data ; User-Computer Interface

OBJECTIVES: Human factors engineering is a discipline that deals with computer and human systems and processes and provides a methodology for designing and evaluating systems as they interact with human beings. This review article reviews important current and past efforts in human factors engineering in health informatics in the context of the current trends in health informatics. METHODS: The methodology of human factors engineering and usability testing in particular were reviewed in this article. RESULTS: This methodology arises from the field of human factors engineering, which uses principles from cognitive science and applies them to implementations such as a computer-human interface and user-centered design. CONCLUSIONS: Patient safety and best practice of medicine requires a partnership between patients, clinicians and computer systems that serve to improve the quality and safety of patient care. People approach work and problems with their own knowledge base and set of past experiences and their ability to use systems properly and with low error rates are directly related to the usability as well as the utility of computer systems. Unusable systems have been responsible for medical error and patient harm and have even led to the death of patients and increased mortality rates. Electronic Health Record and Computerized Physician Order Entry systems like any medical device should come with a known safety profile that minimizes medical error and harm. This review article reviews important current and past efforts in human factors engineering in health informatics in the context of the current trends in health informatics.
Cognitive Science ; Computer Systems ; Electronic Health Records ; Humans ; Informatics ; Knowledge Bases ; Medical Errors ; Medical Order Entry Systems ; Patient Care ; Patient Safety ; Practice Guidelines as Topic

PURPOSE: The purpose of this article was to evaluate the efficiency of an automated prescription program serving pediatric patients who visited our emergency department. We expected that the program would reduce pediatric patient prescription errors and shorten the length of stay in the emergency department. METHODS: We developed the computerized physician order entry system to serve the pediatric patients visiting the emergency department and recommended that the emergency medicine residents use this program. We compared the rate of error as it affected prescription dosage and length of stay in the emergency department, before and after the program was deployed. We also performed a survey with 20 emergency medicine residents that have used the program. RESULTS: Of the total number of prescriptions filled, the number of prescription dosing errors observed was 40(4.5%) before and 22(2.8%) after the program was deployed. The results of the survey revealed high system usability and satisfaction. However, the length of stay in the emergency department was not affected. CONCLUSION: The computerized physician order entry system for pediatric patients visiting the emergency department was effective in reducing prescription related medical errors.
Emergencies ; Emergency Medicine ; Humans ; Length of Stay ; Medical Errors ; Medical Order Entry Systems ; Prescriptions