Search results for "Electronic health records"
showing 10 items of 23 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…
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…
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…
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…
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…
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.
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 …
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…
Patterns of liver injury in COVID-19 - a German case series.
2020
BACKGROUND: Reports of liver injury in patients with novel coronavirus disease 2019 (COVID-19) are emerging from China and the USA. A wide variety of liver function test abnormalities and few cases of severe liver failure have been reported. No data on the hepatic phenotype from Europe are available at current. METHODS: We report a case series of 44 consecutive patients hospitalized for COVID-19 in Germany. RESULTS: At the time of admission, aspartate aminotransferase greater than the upper limit of normal was present in 70%, while alanine aminotransferase was elevated in 15.8%. Markers of cholestatic liver injury were altered only in a minority of patients. During hospitalization, 31% and …
Mortality and cardiovascular disease burden of uncontrolled diabetes in a registry-based cohort: the ESCARVAL-risk study
2018
Background: Despite the epidemiological evidence about the relationship between diabetes, mortality and cardiovascular disease, information about the population impact of uncontrolled diabetes is scarce. We aimed to estimate the attributable risk associated with HbA1c levels for all-cause mortality and cardiovascular hospitalization.Methods: Prospective study of subjects with diabetes mellitus using electronic health records from the universal public health system in the Valencian Community, Spain 2008–2012. We included 19,140 men and women aged 30 years or older with diabetes who underwent routine health examinations in primary care.Results: A total of 11,003 (57%) patients had uncontrolle…