modelling
Yu S et al, Journal of Biomedical Informatics, 2011
Clinical Archetypes provide a means for health professionals to design what should be communicated as part of an Electronic Health Record (EHR). An ever-growing number of archetype definitions follow this health information modelling approach, and this international archetype resource will eventually cover a large number of clinical concepts. On the other hand, Clinical Terminology systems that can be referenced by archetypes also have a wide coverage over many types of health-care information.
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20 December 2011 | No Comments »
Categories: Science | Tag(s): Archetypes, modelling, Ontology, SNOMED, Terminology
Wes Rishel, Gartner
“HL7 attended the meeting in London where a consensus was developed that represents a draft of the statement that CIMI issued. Upon seeing the final draft HL7 specifically requested that its name be placed on the list of signatories to the document.
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16 December 2011 | No Comments »
Categories: News | Country: United States | Tag(s): HL7, modelling, Standards
Heather Leslie, Archetypical
“With the recent public statement from the Clinical Information Modelling Initiative (CIMI) my cynical heart feels a little flutter of excitement. Maybe, just maybe, we are on the brink of a significant disruption in eHealth.
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15 December 2011 | No Comments »
Categories: News | EHR: EHR | Tag(s): Health Information Exchange, modelling, openEHR
Thomas Beale, Woland's Cat
“The Clinical Information Modelling Initiative (CIMI) group led by Dr Stan Huff (Intermountain Health, Utah) met here in London 29 Nov – 1 Dec to make a final decision on formalism, from the two remaining – openEHR archetypes and various forms of UML (previous posts on CIMI: DCMs & RM, on formalisms).
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14 December 2011 | No Comments »
Categories: News | EHR: EHR | Tag(s): Archetypes, modelling, openEHR
Guy Boulton, Journal Sentinel
“The information that exists in Medicare billing records, patient registries and electronic health records could help answer one of the most common questions in modern medicine: How well does one treatment work compared with another?
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4 September 2011 | No Comments »
Categories: News | Country: United States | EHR: EHR, EHR USA | Tag(s): Effectiveness, modelling, Research, Software
Rector AL et al, J Am Med Inform Assoc, 18(4)
Objectives
(a) To determine the extent and range of errors and issues in the Systematised Nomenclature of Medicine – Clinical Terms (SNOMED CT) hierarchies as they affect two practical projects. (b) To determine the origin of issues raised and propose methods to address them.
Methods
The hierarchies for concepts in the Core Problem List Subset published by the Unified Medical Language System were examined for their appropriateness in two applications. Anomalies were traced to their source to determine whether they were simple local errors, systematic inferences propagated by SNOMED’s classification process, or the result of problems with SNOMED’s schemas. Conclusions were confirmed by showing that altering the root cause and reclassifying had the intended effects, and not others.
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11 July 2011 | No Comments »
Categories: Science | EHR: EHR | Tag(s): Knowledge Management, modelling, Ontology, SNOMED, Terminology
Eric, Healthbase Australia Blog
“It seems that there are very few people involved in health information standards that are able to discern the difference between a thing in the singular and things in the plural! Perhaps many people can discern the difference but just don’t realize how difficult it is for computers to discern the difference.
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9 January 2011 | No Comments »
Categories: News | Country: Australia | Tag(s): Coding, modelling, Standards, Terminology
Herasevich, Vitaly et al, Mayo Clinic Proceedings, 85(3)
OBJECTIVE:
To develop and validate an informatics infrastructure for syndrome surveillance, decision support, reporting, and modeling of critical illness.
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22 March 2010 | No Comments »
Categories: Science | Country: United States | EHR: EHR | Tag(s): Decision Support, emr, Infrastructure, Intensive care, modelling, Reporting, Surveillance
