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The STAR Model is composed of five major stages: knowledge discovery, evidence summary, translation into practice recommendations, integration into practice, and evaluation. The model is one of the most commonly used frameworks that have shaped evidence-based nursing .
The use of Clinical Data Repositories could provide a wealth of knowledge about patients, their medical conditions, and their outcome. The database could serve as a way to study the relationship and potential patterns between disease progression and management. The term "Medical Data Mining" has been coined for this method of research.
Progress Note - This template represents a patient's clinical status during a hospitalization, outpatient visit, treatment with a LTPAC provider, or other healthcare encounter. [ 14 ] Transfer Summary - The Transfer Summary standardizes critical information for exchange of information between providers of care when a patient moves between ...
Apache cTAKES: clinical Text Analysis and Knowledge Extraction System is an open-source Natural Language Processing (NLP) system that extracts clinical information from electronic health record unstructured text. It processes clinical notes, identifying types of clinical named entities — drugs, diseases/disorders, signs/symptoms, anatomical ...
The original idea for the database began in the canteen of John Radcliffe Hospital in 1990 while James McMorran, a first-year Oxford University clinical student, was writing up his medical notes. Instead of writing notes in longhand, he wrote his notes in ‘mind maps’ of packets of information linking different concepts and conditions in a ...
The patient summary contains a core data set of the most relevant administrative, demographic, and clinical information facts about a patient's healthcare, covering one or more healthcare encounters. It provides a means for one healthcare practitioner, system, or setting to aggregate all of the pertinent data about a patient and forward it to ...
A central part of the openEHR specifications is the set of information models, known in openEHR as 'reference models'. [6] The models constitute the base information models for openEHR systems, and define the invariant semantics of the Electronic Health Record (EHR), EHR Extract, and Demographics model, as well as supporting data types, data structures, identifiers and useful design patterns.
The two main types of CDSS are knowledge-based and non-knowledge-based: [1] An example of how a clinician might use a clinical decision support system is a diagnosis decision support system (DDSS). DDSS requests some of the patients' data and, in response, proposes a set of appropriate diagnoses.