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Modeling Flowsheet Data for Clinical Research.

Johnson SG, Byrne MD, Christie B, Delaney CW, LaFlamme A, Park JI, Pruinelli L, Sherman SG, Speedie S, Westra BL - AMIA Jt Summits Transl Sci Proc (2015)

Bottom Line: Health care data included in clinical data repositories (CDRs) are increasingly used for quality reporting, business analytics and research; however, extended clinical data from interprofessional practice are seldom included.This study characterizes the extended clinical data derived from EHR flowsheet data that is available in the University of Minnesota's CDR and describes a process for creating an ontology that organizes that data so that it is more useful and accessible to researchers.The challenges of the manual process and difficulties combining similar concepts are discussed.

View Article: PubMed Central - PubMed

Affiliation: University of Minnesota, Institute for Health Informatics.

ABSTRACT
Health care data included in clinical data repositories (CDRs) are increasingly used for quality reporting, business analytics and research; however, extended clinical data from interprofessional practice are seldom included. With the increasing emphasis on care coordination across settings, CDRs need to include data from all clinicians and be harmonized to understand the impact of their collaborative efforts on patient safety, effectiveness and efficiency. This study characterizes the extended clinical data derived from EHR flowsheet data that is available in the University of Minnesota's CDR and describes a process for creating an ontology that organizes that data so that it is more useful and accessible to researchers. The process is illustrated using a pressure ulcer ontology and compares ease of finding concepts in i2b2 for different data organization approaches. The challenges of the manual process and difficulties combining similar concepts are discussed.

No MeSH data available.


Related in: MedlinePlus

Pressure ulcer ontology
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f2-2087004: Pressure ulcer ontology

Mentions: The iterative process of mapping measures to concepts was performed to produce an ontology for pressure ulcers. The mapping contained 84 concepts (from 96 measures) organized into a hierarchy (Figure 2). These concepts appeared on 72 templates. On average, each concept appeared on 12 templates and one concept (Braden Score) appeared on 28 different templates; 6 of the concepts appeared on only a single template. This mapping process clearly demonstrated that measures for similar concepts were distributed across many different templates and groups in the CDR.


Modeling Flowsheet Data for Clinical Research.

Johnson SG, Byrne MD, Christie B, Delaney CW, LaFlamme A, Park JI, Pruinelli L, Sherman SG, Speedie S, Westra BL - AMIA Jt Summits Transl Sci Proc (2015)

Pressure ulcer ontology
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4525247&req=5

f2-2087004: Pressure ulcer ontology
Mentions: The iterative process of mapping measures to concepts was performed to produce an ontology for pressure ulcers. The mapping contained 84 concepts (from 96 measures) organized into a hierarchy (Figure 2). These concepts appeared on 72 templates. On average, each concept appeared on 12 templates and one concept (Braden Score) appeared on 28 different templates; 6 of the concepts appeared on only a single template. This mapping process clearly demonstrated that measures for similar concepts were distributed across many different templates and groups in the CDR.

Bottom Line: Health care data included in clinical data repositories (CDRs) are increasingly used for quality reporting, business analytics and research; however, extended clinical data from interprofessional practice are seldom included.This study characterizes the extended clinical data derived from EHR flowsheet data that is available in the University of Minnesota's CDR and describes a process for creating an ontology that organizes that data so that it is more useful and accessible to researchers.The challenges of the manual process and difficulties combining similar concepts are discussed.

View Article: PubMed Central - PubMed

Affiliation: University of Minnesota, Institute for Health Informatics.

ABSTRACT
Health care data included in clinical data repositories (CDRs) are increasingly used for quality reporting, business analytics and research; however, extended clinical data from interprofessional practice are seldom included. With the increasing emphasis on care coordination across settings, CDRs need to include data from all clinicians and be harmonized to understand the impact of their collaborative efforts on patient safety, effectiveness and efficiency. This study characterizes the extended clinical data derived from EHR flowsheet data that is available in the University of Minnesota's CDR and describes a process for creating an ontology that organizes that data so that it is more useful and accessible to researchers. The process is illustrated using a pressure ulcer ontology and compares ease of finding concepts in i2b2 for different data organization approaches. The challenges of the manual process and difficulties combining similar concepts are discussed.

No MeSH data available.


Related in: MedlinePlus