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Dr. Michiel Meulendijk

Dr. Michiel Meulendijk

Data Scientist & Researcher in Medical Informatics

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PRESOMATIC

The PRESOMATIC study aims at aiding general practitioners with the early recognition of somatic symptom disorders.

As a researcher and data scientist, I created the data processing pipeline through which the hypotheses were tested.

Software & Publications

    Author Senior Researcher & Data ScientistPosted on October 1, 2017August 8, 2018Categories ResearchTags research

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    I am an information scientist and data expert (data scientist, infrastructure architect, software developer) in the medical domain.

    My fields of work include data analytics, semantic interoperability, governance and FAIR principles, natural language processing, and decision-support systems.

    Latest Publication

    15 entries « ‹ 1 of 15 › »
    Huibers, Corlina J A; Sallevelt, Bastiaan T G M; de Groot, Dominique A; Boer, Maarten J; van Campen, Jos P C M; Davids, Cathelijn J; Hugtenburg, J G; den Tweel, Annemieke Vermeulen Windsant-Van M A; van Hout, Hein P J; van Marum, Rob J; Meulendijk, Michiel C: Conversion of STOPP/START version 2 into coded algorithms for software implementation: a multidisciplinary consensus procedure. International Journal of Medical Informatics, 2018. (Type: Journal Article | Abstract | Links | BibTeX)
    @article{Huibers2018,
    title = {Conversion of STOPP/START version 2 into coded algorithms for software implementation: a multidisciplinary consensus procedure},
    author = {Corlina J.A. Huibers and Bastiaan T.G.M. Sallevelt and Dominique A. de Groot and Maarten J. Boer and Jos P.C.M. van Campen and Cathelijn J. Davids and J.G. Hugtenburg and Annemieke M.A. Vermeulen Windsant-Van den Tweel and Hein P.J. van Hout and Rob J. van Marum and Michiel C Meulendijk},
    doi = {10.1016/j.ijmedinf.2018.12.010},
    year = {2018},
    date = {2018-12-31},
    journal = {International Journal of Medical Informatics},
    abstract = {Background
    The rapid digitalization of medical practice has attracted growing interest in developing software applications for clinical guidelines and explicit screening tools to detect potentially inappropriate prescribing, such as STOPP/START criteria. The aim of the current study was to develop and provide logically unambiguous algorithms of STOPP/START criteria version 2, encoded with international disease and medication classification codes, to facilitate the development of software applications for multiple purposes.

    Methods
    A four round multidisciplinary consensus and validation procedure was conducted to develop implementable coded algorithms for software applications of STOPP/START criteria version 2, based on ICD, ICPC, LOINC and ATC classification databases.

    Results
    Consensus was reached for all 34 START criteria and 76 out of 80 STOPP criteria. The resulting 110 algorithms, modeled as inference rules in decision tables, are provided as supplementary data.

    Conclusion
    This is the first study providing implementable algorithms for software applications based on STOPP/START version 2, validated in a computer decision support system. These algorithms could serve as a template for applying STOPP/START criteria version 2 to any software application, allowing for adaptations of the included ICD, ICPC and ATC codes and changing the cut-off levels for laboratory measurements to match local guidelines or clinical expertise.},
    keywords = {},
    pubstate = {published},
    tppubtype = {article}
    }

    Close

    Background
    The rapid digitalization of medical practice has attracted growing interest in developing software applications for clinical guidelines and explicit screening tools to detect potentially inappropriate prescribing, such as STOPP/START criteria. The aim of the current study was to develop and provide logically unambiguous algorithms of STOPP/START criteria version 2, encoded with international disease and medication classification codes, to facilitate the development of software applications for multiple purposes.

    Methods
    A four round multidisciplinary consensus and validation procedure was conducted to develop implementable coded algorithms for software applications of STOPP/START criteria version 2, based on ICD, ICPC, LOINC and ATC classification databases.

    Results
    Consensus was reached for all 34 START criteria and 76 out of 80 STOPP criteria. The resulting 110 algorithms, modeled as inference rules in decision tables, are provided as supplementary data.

    Conclusion
    This is the first study providing implementable algorithms for software applications based on STOPP/START version 2, validated in a computer decision support system. These algorithms could serve as a template for applying STOPP/START criteria version 2 to any software application, allowing for adaptations of the included ICD, ICPC and ATC codes and changing the cut-off levels for laboratory measurements to match local guidelines or clinical expertise.

    Close

    • doi:10.1016/j.ijmedinf.2018.12.010

    Close

    15 entries « ‹ 1 of 15 › »

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    • xsd2html2xml
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