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Traceability based description of clinical processes: Extension of IHE guidelines for phlebotomy workflows
Alessandro Sulis, Francesca Frexia, Vittorio Meloni, Massimo Gaggero, Mauro Del Rio, Riccardo Triunfo, Daniela Ghironi, Federico Caboni, Gianluigi Zanetti
Jazyk angličtina Země Česko
Typ dokumentu práce podpořená grantem
- MeSH
- algoritmy MeSH
- chybná diagnóza prevence a kontrola MeSH
- data mining MeSH
- flebotomie * MeSH
- klinické laboratorní techniky MeSH
- laboratoře normy MeSH
- navrhování softwaru * MeSH
- nemocniční informační systémy MeSH
- organizační modely MeSH
- počítačová simulace * MeSH
- počítačové systémy MeSH
- průběh práce MeSH
- řízení kvality MeSH
- sběr dat MeSH
- zajištění kvality zdravotní péče MeSH
- Publikační typ
- práce podpořená grantem MeSH
The increasing diffusion of data acquisition systems paves the way to traceability based process management and definition. In the clinical context, IHE formalizes the reference guidelines, periodically enhanced to reflect processes evolution. In this work we describe how we have modeled the phlebotomy process following the IHE references and best-practices to obtain a fully traceable workflow. The work has resulted in two new transactions for the IHE LBL profile, describing samples containers production and samples collection. The complete workflow has been implemented and successfully tested in real clinical environments. The traceability data acquired have then been studied using Process Mining techniques to compare the production model with idealized workflow and guide further developments.
Citace poskytuje Crossref.org
Literatura
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- $a The increasing diffusion of data acquisition systems paves the way to traceability based process management and definition. In the clinical context, IHE formalizes the reference guidelines, periodically enhanced to reflect processes evolution. In this work we describe how we have modeled the phlebotomy process following the IHE references and best-practices to obtain a fully traceable workflow. The work has resulted in two new transactions for the IHE LBL profile, describing samples containers production and samples collection. The complete workflow has been implemented and successfully tested in real clinical environments. The traceability data acquired have then been studied using Process Mining techniques to compare the production model with idealized workflow and guide further developments.
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