Evidence map›Paper›PMID 22703558›Full record

ArticleTheoretical biology & medical modelling2012

Live sequence charts to model medical information.

Eric Aslakson, Smadar Szekely, Suzanne D Vernon, Lucinda Bateman, Jan Baumbach, Yaki Setty

Abstract read
In one paragraph

Article in Theoretical biology & medical modelling, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Eric AslaksonPoiema, LLC, 375 Chelsea Cir NE, Atlanta, GA 30307, USA.
Smadar Szekely
Suzanne D Vernon
Lucinda Bateman
Jan Baumbach
Yaki Setty

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical records accumulate data concerning patient health and the natural history of disease progression. However, methods to mine information systematically in a form other than an electronic health record are not yet available. The purpose of this study was to develop an object modeling technique as a first step towards a formal database of medical records.

methodLive Sequence Charts (LSC) were used to formalize the narrative text obtained during a patient interview. LSCs utilize a visual scenario-based programming language to build object models. LSC extends the classical language of UML message sequence charts (MSC), predominantly through addition of modalities and providing executable semantics. Inter-object scenarios were defined to specify natural history event interactions and different scenarios in the narrative text.

resultA simulated medical record was specified into LSC formalism by translating the text into an object model that comprised a set of entities and events. The entities described the participating components (i.e., doctor, patient and record) and the events described the interactions between elements. A conceptual model is presented to illustrate the approach. An object model was generated from data extracted from an actual new patient interview, where the individual was eventually diagnosed as suffering from Chronic Fatigue Syndrome (CFS). This yielded a preliminary formal designated vocabulary for CFS development that provided a basis for future formalism of these records.

conclusionsTranslation of medical records into object models created the basis for a formal database of the patient narrative that temporally depicts the events preceding disease, the diagnosis and treatment approach. The LSCs object model of the medical narrative provided an intuitive, visual representation of the natural history of the patient's disease.

Indexed as

Medical InformaticsMedical RecordsModels, TheoreticalNarrationFatigue Syndrome, ChronicHumansPhysician-Patient Relations

Identifiers

PMID22703558
PMCPMC3536704

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.