AIMC Topic: Electronic Health Records

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Using EHRs for Heart Failure Therapy Recommendation Using Multidimensional Patient Similarity Analytics.

Studies in health technology and informatics
Electronic Health Records (EHRs) contain a wealth of information about an individual patient's diagnosis, treatment and health outcomes. This information can be leveraged effectively to identify patients who are similar to each for disease diagnosis ...

Enrich classifications in psychiatry with textual data: an ontology for psychiatry including social concepts.

Studies in health technology and informatics
We propose a modular approach to develop an ontology of psychiatry, ONTOPSYCHIA, based on Patient Discharges Summaries (PDS) and divided into three modules (i.e. social, mental disorders and treatments). We decided to take into account the social asp...

Toward a patient safety upper level ontology.

Studies in health technology and informatics
Patient Safety (PS) standardization is the key to improve interoperability and expand international share of incident reporting system knowledge. By aligning the Patient Safety Categorial Structure (PS-CAST) to the Basic Formal Ontology version 2 (BF...

Biomarkers in the ontology for general medical science.

Studies in health technology and informatics
A great deal of recent work has been devoted to the topic of biomarkers as aids to diagnosis, prognosis and treatment evaluation. Basing our work on the Ontology for General Medical Science (OGMS) and on the specifications provided by the Institute o...

Design, development and first validation of a transcoding system from ICD-9-CM to ICD-10 in the IT.DRG Italian project.

Studies in health technology and informatics
In Italy, ICD-9-CM is currently used for coding health conditions at hospital discharge, but ICD-10 is being introduced thanks to the IT-DRG Project. In this project, one needed component is a set of transcoding rules and associated tools for easing ...

A methodology for mining clinical data: experiences from TRANSFoRm project.

Studies in health technology and informatics
Data mining of electronic health records (eHRs) allows us to identify patterns of patient data that characterize diseases and their progress and learn best practices for treatment and diagnosis. Clinical Prediction Rules (CPRs) are a form of clinical...

Health consumer-oriented information retrieval.

Studies in health technology and informatics
While patients can freely access their Electronic Health Records or online health information, they may not be able to correctly understand the content of these documents. One of the challenges is related to the difference between expert and non-expe...

Synthesizing analytic evidence to refine care pathways.

Studies in health technology and informatics
Care pathways play significant roles in delivering evidence-based and coordinated care to patients with specific conditions. In order to put care pathways into practice, clinical institutions always need to adapt them based on local care settings so ...

Automatic extraction of numerical values from unstructured data in EHRs.

Studies in health technology and informatics
Clinical data recorded in modern EHRs are very rich, although their secondary use research and medical decision may be complicated (eg, missing and incorrect data, data spread over several clinical databases, information available only within unstruc...

Prompting physicians to address a daily checklist for antibiotics: do we need a co-pilot in the ICU?

Current opinion in critical care
PURPOSE OF REVIEW: Failed opportunities to reduce morbidity and mortality occur when evidence-based therapies are not fully implemented in clinical practice. We reviewed the recent literature on implementation strategies in the intensive care unit, w...