30 October 2017: Areti Manataki Title: Studying Electronic Health Record Workflows with the Use of Process Mining and Observational Techniques Abstract: Electronic health records (EHRs) are known to transform clinical practices in ways that may enhance or impede the quality of care. There is, therefore, a need for in-depth analysis of EHR workflows, particularly in complex clinical environments. In this talk I will describe recent work in collaboration with the Arizona State University and the Mayo Clinic, addressing precisely this need. We employed a multi-method approach, comprising of process mining, interviews and observational techniques, to investigate EHR-based pre-operative workflows in the Jacksonville Mayo Clinic. The combination of these methods allowed us to provide a rich and multi-faceted description of EHR workflow, including personnel roles and interactions with patient cases, time spent on paper-based artefacts vs. EHR, and patient-based workflow. The work described in this talk was supported through a Postdoctoral and Early Career Researcher Exchanges (PECE) grant from the Scottish Informatics & Computer Science Alliance (SICSA). Oct 30 2017 14.00 - 15.00 30 October 2017: Areti Manataki Studying Electronic Health Record Workflows with the Use of Process Mining and Observational Techniques IF 4.31/4.33
30 October 2017: Areti Manataki Title: Studying Electronic Health Record Workflows with the Use of Process Mining and Observational Techniques Abstract: Electronic health records (EHRs) are known to transform clinical practices in ways that may enhance or impede the quality of care. There is, therefore, a need for in-depth analysis of EHR workflows, particularly in complex clinical environments. In this talk I will describe recent work in collaboration with the Arizona State University and the Mayo Clinic, addressing precisely this need. We employed a multi-method approach, comprising of process mining, interviews and observational techniques, to investigate EHR-based pre-operative workflows in the Jacksonville Mayo Clinic. The combination of these methods allowed us to provide a rich and multi-faceted description of EHR workflow, including personnel roles and interactions with patient cases, time spent on paper-based artefacts vs. EHR, and patient-based workflow. The work described in this talk was supported through a Postdoctoral and Early Career Researcher Exchanges (PECE) grant from the Scottish Informatics & Computer Science Alliance (SICSA). Oct 30 2017 14.00 - 15.00 30 October 2017: Areti Manataki Studying Electronic Health Record Workflows with the Use of Process Mining and Observational Techniques IF 4.31/4.33
Oct 30 2017 14.00 - 15.00 30 October 2017: Areti Manataki Studying Electronic Health Record Workflows with the Use of Process Mining and Observational Techniques
