Search results for "Health Records"

showing 10 items of 27 documents

Administrative Coding in Electronic Health Care Record‐Based Research of NAFLD: An Expert Panel Consensus Statement

2021

BACKGROUND AND AIMS: Electronic health record (EHR)-based research allows the capture of large amounts of data, which is necessary in nonalcoholic fatty liver disease (NAFLD), where the risk of clinical liver outcomes is generally low. The lack of consensus on which International Classification of Disease (ICD) codes should be used as exposures and outcomes limits comparability and generalizability of results across studies. We aimed to establish consensus among a panel of experts on ICD codes that could become the reference standard and provide guidance around common methodological issues.APPROACH AND RESULTS: Researchers with an interest in EHR-based NAFLD research were invited to collect…

0301 basic medicinemedicine.medical_specialtyFIBROSIS STAGEBiomedical ResearchConsensusClinical SciencesImmunologyDiseaseMedical Biochemistry and MetabolomicsDIAGNOSISVALIDATIONArticle03 medical and health sciences0302 clinical medicineClinical ResearchNon-alcoholic Fatty Liver DiseaseEpidemiologyHealth caremedicineElectronic Health RecordsHumansGeneralizability theoryALGORITHMFATTY LIVER-DISEASEStatement (computer science)Gastroenterology & HepatologyHepatologybusiness.industryMORTALITYComparabilityClinical CodingReference Standards3. Good healthGood Health and Well Being030104 developmental biology3121 General medicine internal medicine and other clinical medicineFamily medicineInclusion and exclusion criteria030211 gastroenterology & hepatologyPatient SafetybusinessPsychologyREAL-WORLDCoding (social sciences)Hepatology
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EHRtemporalVariability: delineating temporal dataset shifts in electronic health records

2020

AbstractBackgroundTemporal variability in healthcare processes or protocols is intrinsic to medicine. Such variability can potentially introduce dataset shifts, a data quality issue when reusing electronic health records (EHRs) for secondary purposes. Temporal dataset shifts can present as trends, abrupt or seasonal changes in the statistical distributions of data over time, being particularly complex to address in multi-modal and highly coded data. These changes, if not delineated, can harm population and data-driven research, such as machine learning. Given that biomedical research repositories are increasingly being populated with large historical data from EHRs, there is a need for spec…

0303 health scienceseducation.field_of_studybusiness.industryComputer sciencePopulationReuseHealth recordsData science3. Good health03 medical and health sciencesIdentification (information)0302 clinical medicineSoftwareData qualityRange (statistics)030212 general & internal medicineUser interfacebusinesseducation030304 developmental biology
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Patient Accessible Electronic Health Records: Impacts on Nursing Documentation Practices at a University Hospital

2018

In a Norwegian health region, patients have online access to their own electronic health record and they can also read the nursing documentation. This paper presents a qualitative study made at a university hospital to investigate how patient accessible electronic health records impact on nursing documentation practices. Semi-structured interviews were made with 12 informants from 5 cardiology departments at one hospital regarding how they used electronic nursing documentation in their daily practice and how they experienced patient accessible nursing documentation. The nurses emphasized that they focused on a clear and well-written nursing documentation, but in some situations, they were h…

Access to InformationHospitals UniversityHealth Records PersonalNorwayNursing RecordsElectronic Health RecordsHumansDocumentationStudies in health technology and informatics
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Active learning strategies for the deduplication of electronic patient data using classification trees.

2012

Graphical abstractDisplay Omitted Highlights? Active learning for medical record linkage is used on a large data set. ? We compare a simple active learning strategy with a more sophisticated variant. ? The active learning method of Sarawagi and Bhamidipaty (2002) 6] is extended. ? We deliver insights into the variations of the results due to random sampling in the active learning strategies. IntroductionSupervised record linkage methods often require a clerical review to gain informative training data. Active learning means to actively prompt the user to label data with special characteristics in order to minimise the review costs. We conducted an empirical evaluation to investigate whether…

Active learningComputer scienceActive learning (machine learning)Information Storage and RetrievalContext (language use)Health InformaticsSemi-supervised learningMachine learningcomputer.software_genreSet (abstract data type)Artificial IntelligenceBaggingData deduplicationElectronic Health RecordsHumansbusiness.industryString (computer science)Decision TreesOnline machine learningComputer Science ApplicationsData miningArtificial intelligenceMedical Record LinkageString metricbusinesscomputerAlgorithmsJournal of biomedical informatics
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Clinical profiles and quality of care of subjects with type 2 diabetes according to their cardiovascular risk: an observational, retrospective study

2021

Abstract Background The European Society of Cardiology (ESC) recently defined cardiovascular risk classes for subjects with diabetes. Aim of this study was to explore the distribution of subjects with type 2 diabetes (T2D) by cardiovascular risk groups according to the ESC classification and to describe the quality indicators of care, with particular regard to cardiovascular risk factors. Methods The study is based on data extracted from electronic medical records of patients treated at the 258 Italian diabetes centers participating in the AMD Annals initiative. Patients with T2D were stratified by cardiovascular risk. General descriptive indicators, measures of intermediate outcomes, inten…

AdultBlood GlucoseMalelcsh:Diseases of the circulatory (Cardiovascular) systemmedicine.medical_specialtyTime FactorsEndocrinology Diabetes and MetabolismType 2 diabetesIncretinsRisk AssessmentDiabetes mellitusInternal medicinemedicineElectronic Health RecordsHumansHypoglycemic AgentsMedical prescriptionSodium-Glucose Transporter 2 InhibitorsOriginal InvestigationAgedQuality Indicators Health CareRetrospective StudiesAngiologyCardiovascular risk Humans Hypoglycemic Agents Incretins Italy Male Middle Aged Retrospective Studies Risk Assessment Sodium-Glucose Transporter 2 Inhibitors Time Factors Treatment Outcome Quality Indicators Health Care Quality of care Type 2 diabetes Adult Aged Aged 80 and over Biomarkers Blood Glucose Cardiovascular Diseases Diabetes Mellitus Type 2 Dipeptidyl-Peptidase IV Inhibitors Heart Disease Risk Factors Female Electronic Health RecordsAged 80 and overDipeptidyl-Peptidase IV Inhibitorsbusiness.industryMedical recordQuality of careType 2 diabetesRetrospective cohort studyMiddle AgedCardiovascular riskmedicine.diseaseTreatment OutcomeDiabetes Mellitus Type 2ItalyCardiovascular DiseasesHeart Disease Risk Factorslcsh:RC666-701AlbuminuriaFemaleObservational studymedicine.symptomCardiology and Cardiovascular MedicinebusinessBiomarkersCardiovascular Diabetology
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Missing values in deduplication of electronic patient data

2011

Data deduplication refers to the process in which records referring to the same real-world entities are detected in datasets such that duplicated records can be eliminated. The denotation ‘record linkage’ is used here for the same problem.1 A typical application is the deduplication of medical registry data.2 3 Medical registries are institutions that collect medical and personal data in a standardized and comprehensive way. The primary aims are the creation of a pool of patients eligible for clinical or epidemiological studies and the computation of certain indices such as the incidence in order to oversee the development of diseases. The latter task in particular requires a database in wh…

Computer sciencemedia_common.quotation_subjectInferenceHealth InformaticsAmbiguityPatient dataMissing datacomputer.software_genreResearch and ApplicationsRegressionNeoplasmsStatisticsData deduplicationElectronic Health RecordsHumansData miningImputation (statistics)Medical Record LinkageRegistriescomputerRecord linkagemedia_common
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A cloud based architecture to support Electronic Health Record.

2014

We introduce a novel framework of electronic healthcare enabled by a Cloud platform able to host both Hospital Information Systems (HIS) and Electronic Medical Record (EMR) systems and implement an innovative model of Electronic Health Record (EHR) that is not only patient-oriented but also supports a better governance of the whole healthcare system. The proposed EHR model adopts the state of the art of the Cloud technologies, being able to join the different clinical data of the patient stored within the HISs and EMRs either placed into a local Data Center or hosted into a Cloud Platform enabling new directions of data analysis.

E-Health Cloud Computing Electronic Health Record Health AnalyticsHospital Information SystemsElectronic Health RecordsHumansCloud ComputingData CurationStudies in health technology and informatics
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Sharing With Care - Multidisciplinary Teams and Secure Access to Electronic Health Records

2018

Published: Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies Vol 5 2018

EngineeringMedical education020205 medical informaticsbusiness.industryMultidisciplinary approach0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingJoint (building)02 engineering and technologyHealth recordsbusinessProceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies
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Planning integrated care at primary care centres: lessons learnt through research in stratification tools in the Valencian Healthcare System

2018

Introduction and policy context: In the Valencian Region social services and the healthcare system are not connected. Also there is not any normative jointly regulating resources, services or aid benefits that would mean an integrated care IC portfolio.  Primary care PC centres are the closest and most trustworthy care facility for patients in the Spanish context. Also, PC is one of the most suitable resources to address needs of complex patients, as elderly and/or those with chronic conditions, through an IC approach, but there are some barriers that block its real and effective deployment. Objective and target population: Authors have studied the viability, implementation and development …

Health (social science)Process managementSociology and Political Sciencebusiness.industryHealth PolicyInteroperabilityPsychological interventionContext (language use)Population healthIntegrated careIdentification (information)Multidisciplinary approachHealth careprimary care; stratification tools; complex patients; electronic health records; policy recommendationsBusinessInternational Journal of Integrated Care
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HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study

2022

Heterogeneity is a problem in storing and exchanging data in a digital health information system (HIS) following semantic and structural integrity. The existing literature shows different methods to overcome this problem. Fast healthcare interoperable resources (FHIR) as a structural standard may explain other information models, (e.g., personal, physiological, and behavioral data from heterogeneous sources, such as activity sensors, questionnaires, and interviews) with semantic vocabularies, (e.g., Systematized Nomenclature of Medicine—Clinical Terms (SNOMED-CT)) to connect personal health data to an electronic health record (EHR). We design and develop an intuitive health coaching (eCoach…

Health Records PersonalHL7; FHIR; SNOMED-CT; PHR; PGHD; PHR-S FM; interoperability; eCoach; TSDElectronic Health RecordsSystematized Nomenclature of MedicineElectrical and Electronic EngineeringBiochemistryInstrumentationProof of Concept StudyVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Atomic and Molecular Physics and OpticsAnalytical ChemistrySemanticsSensors; Volume 22; Issue 10; Pages: 3756
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