Interoperability of EMR

Although the Canada federal government has invested over $3.1 billion developing health information technology (HIT), all 10 provinces still have their own separate HIT systems, which are non-interoperable, expensive, and inconsistent. After first reviewing how these systems operate, this paper analyzes the costs and savings of integrating the common billing, lab results, and diagnostic imaging (BLD) functions of these separate systems using free and open-source software and proposes a system for this, HermesAPI...

Quality indicators and standards for pediatric endoscopy have recently been developed by the inaugural working group of the international Pediatric Endoscopy Quality Improvement Network (PEnQuIN). Currently available electronic medical record (EMR) functionalities can enable real-time capture of quality indicators to support continuous quality measurement and improvement within pediatric endoscopy facilities. Ultimately, EMR interoperability and cross-institutional data sharing can serve to validate PEnQuIN standards of care and permit benchmarking across endoscopy services, in the pursuit of elevating the quality of endoscopic care for children everywhere...

There are myriad systems and standards used in imaging informatics. Digital Imaging and Communications in Medicine (DICOM) is the standard for displaying, transferring, and storing medical images. Health Level Seven International (HL7) develops and maintains standards for exchanging, integrating, and sharing medical data. Picture archiving and communication system (PACS) serves as the health provider's primary tool for viewing and interpreting medical images. Medical imaging depends on the interoperability of several of these systems...

BACKGROUND: An eSource generally includes the direct capture, collection, and storage of electronic data to simplify clinical research. It can improve data quality and patient safety and reduce clinical trial costs. There has been some eSource-related research progress in relatively large projects. However, most of these studies focused on technical explorations to improve interoperability among systems to reuse retrospective data for research. Few studies have explored source data collection and quality control during prospective data collection from a methodological perspective...

INTRODUCTION: The use of technological resources to support processes in health systems has generated robust, interoperable and dynamic platforms. In the case of institutions working with neglected tropical diseases (NTD), there is a need for NTD-specific customizations. OBJECTIVES: To establish a medical records platform, specialized for NTD, which would facilitate the analysis of treatment evolution in patients, as well as generate more accurate data about various clinical aspects...

A large number of Electronic Medical Records (EMR) are currently available with a variety of features and architectures. Existing studies and frameworks presented some solutions to overcome the problem of specification and application of clinical guidelines toward the automation of their use at the point of care. However, they could not yet support thoroughly the dynamic use of medical knowledge in EMRs according to the clinical contexts and provide local application of international recommendations. This study presents the development of the Clinical Knowledge Platform (CKP): a collaborative interoperable environment to create, use, and share sets of information elements that we entitled Clinical Use Contexts (CUCs)...

BACKGROUND: A clinical decision support system (CDSS) is recognized as a technology that enhances clinical efficacy and safety. However, its full potential has not been realized, mainly due to clinical data standards and noninteroperable platforms. OBJECTIVE: In this paper, we introduce the common data model-based intelligent algorithm network environment (CANE) platform that supports the implementation and deployment of a CDSS. METHODS: CDSS reasoning engines, usually represented as R or Python objects, are deployed into the CANE platform and converted into C# objects...

The use of photography in routine clinical practice has the potential to increase the efficiency of overall patient care as well as improve clinical documentation and provider-to-provider communication. This is particularly important in the setting of provider burnout in the electronic health record era and during the COVID-19 pandemic. Despite the potential of photographs to enhance workflows and patient care, challenges remain that hinder the successful incorporation of medical photography into clinical practice, often because of inconsistent structure and implementation...

This study aimed to develop a model to predict the 5-year risk of developing end-stage renal disease (ESRD) in patients with type 2 diabetes mellitus (T2DM) using machine learning (ML). It also aimed to implement the developed algorithms into electronic medical records (EMR) system using Health Level Seven (HL7) Fast Healthcare Interoperability Resources (FHIR). The final dataset used for modeling included 19,159 patients. The medical data were engineered to generate various types of features that were input into the various ML classifiers...

BACKGROUND: Wide adoption of electronic medical records (EMR) systems in the United States can lead to better-quality medical care at lower cost. Despite the laws and financial subsidies by the United States government for service providers and suppliers, interoperability still lags. An understanding of the drivers of EMR adoption for physicians and the role of policy-making can translate into increased adoption and enhanced information sharing between medical care providers. METHODS: Physicians across the United States were surveyed to gather primary data on their psychological, social and technical perceptions towards EMR systems...

BACKGROUND: Electronic sources (eSources) can improve data quality and reduce clinical trial costs. Our team has developed an innovative eSource record (ESR) system in China. This study aims to evaluate the efficiency, quality, and system performance of the ESR system in data collection and data transcription. METHODS: The study used time efficiency and data transcription accuracy indicators to compare the eSource and non-eSource data collection workflows in a real-world study (RWS)...

BACKGROUND: We aimed to build a common terminology in the domain of cervical cancer, named Cervical Cancer Common Terminology (CCCT), that will facilitate clinical data exchange, ensure quality of data and support large scale data analysis. METHODS: The standard concepts and relations of CCCT were collected from ICD-10-CM Chinese Version, ICD-9-PC Chinese Version, officially issued commonly used Chinese clinical terms, Chinese guidelines for diagnosis and treatment of cervical cancer and Chinese medical book Lin Qiaozhi Gynecologic Oncology...

OBJECTIVE: During the COVID-19 pandemic, federally qualified health centers rapidly mobilized to provide SARS-CoV-2 testing, COVID-19 care, and vaccination to populations at increased risk for COVID-19 morbidity and mortality. We describe the development of a reusable public health data analytics system for reuse of clinical data to evaluate the health burden, disparities, and impact of COVID-19 on populations served by health centers. MATERIALS AND METHODS: The Multi-State Data Strategy engaged project partners to assess public health readiness and COVID-19 data challenges...

OBJECTIVE: We aimed to establish a comprehensive digital phenotype for postpartum hemorrhage (PPH). Current guidelines rely primarily on estimates of blood loss, which can be inaccurate and biased and ignore complementary information readily available in electronic medical records (EMR). Inaccurate and incomplete phenotyping contributes to ongoing challenges in tracking PPH outcomes, developing more accurate risk assessments, and identifying novel interventions. MATERIALS AND METHODS: We constructed a cohort of 71 944 deliveries from the Mount Sinai Health System...

ObjectiveThe aim of this study was to describe nurses' and midwives' experiences following the first phase of the implementation of an electronic medical record (EMR) system at a large public health service in metropolitan Melbourne, Australia.MethodsFour focus groups were held 8-10 months after implementation of the EMR. Transcripts were analysed using thematic analysis.ResultsOf 39 participants, 25 were nurses (64%), 12 were midwives (31%) and two did not provide this information. The mean (±s.d.) duration of clinical experience was 15...

BACKGROUND: The lack of interoperability is one of the biggest obstacles to the complete digitalization of patient health information in electronic medical records (EMR). The high volume of data breaches has put pressure on care providers to adopt data protection measures to remain compliant with legal requirements. Extreme data protection measures can impede information flow, but they also instill confidence in secure information sharing. This study investigates how the adoption of security measures, privacy regulations, and communication standards has impacted patient health information interoperability at technical (TI), semantic (SI), and organizational (OI) levels within the hospitals...

Natural language processing (NLP), which aims to convert human language into expressions that can be analyzed by computers, is one of the most rapidly developing and widely used technologies in the field of artificial intelligence. Natural language processing algorithms convert unstructured free text data into structured data that can be extracted and analyzed at scale. In medicine, this unlocking of the rich, expressive data within clinical free text in electronic medical records will help untap the full potential of big data for research and clinical purposes...

BACKGROUND: Communication and comprehension of medical information are known barriers in health communication and equity, especially for non-English-speaking caregivers of children with special health care needs. OBJECTIVE: The objective of this proposal was to develop an interoperable and scalable medical translation app for non-English-speaking caregivers to facilitate the conversation between provider and caregiver/patient. METHODS: We employed user-centered and participatory design methods to understand the problems and develop a solution by engaging the stakeholder team (including caregivers, physicians, researchers, clinical informaticists, nurses, developers, nutritionists, pharmacists, and interpreters) and non-English-speaking caregiver participants...

OBJECTIVE: Pharmacists from The University of British Columbia Pharmacists Clinic provide comprehensive medication management services once to twice a month through the co-location model at multiple general practice clinics beginning from 2014 and consistently since 2016. For some of the clinics, this was the first experience with a co-located allied health professional. The objective of this study was to examine the perspectives of physicians who had a relatively long-standing relationship with a co-located pharmacist to identify barriers and facilitators to integrating a clinical pharmacist...

PURPOSE: To describe the benefits of smart infusion pump interoperability with an electronic medical record (EMR) system in an adult intensive care unit (ICU) setting. SUMMARY: In order to assess the impact of smart infusion pump and EMR interoperability, we observed whether there were changes in the frequency of electronic medication administration record (eMAR) documentation of dose titrations in epinephrine and norepinephrine infusions in the ICU setting. As a secondary endpoint, we examined whether smart pump/EMR interoperability had any impact on the rate of alerts triggered by the dose-error reduction software...