TY - JOUR
T1 - Consensus Development of a Modern Ontology of Emergency Department Presenting Problems--The Hierarchical Presenting Problem Ontology (HaPPy)
AU - Horng, Steven
AU - Greenbaum, Nathaniel R.
AU - Nathanson, Larry A.
AU - McClay, James C.
AU - Goss, Foster R.
AU - Nielson, Jeffrey A.
N1 - Funding Information:
Administrative support was partially funded by an American College of Emergency Physicians Section Grant.
Publisher Copyright:
© 2019 Georg Thieme Verlag KG Stuttgart. New York.
PY - 2019
Y1 - 2019
N2 - Objective Numerous attempts have been made to create a standardized presenting problem or chief complaint list to characterize the nature of an emergency department visit. Previous attempts have failed to gain widespread adoption as they were not freely shareable or did not contain the right level of specificity, structure, and clinical relevance to gain acceptance by the larger emergency medicine community. Using real-world data, we constructed a presenting problem list that addresses these challenges. Materials and Methods We prospectively captured the presenting problems for 180,424 consecutive emergency department patient visits at an urban, academic, Level I trauma center in the Boston metro area. No patients were excluded. We used a consensus process to iteratively derive our system using real-world data. We used the first 70% of consecutive visits to derive our ontology, followed by a 6-month washout period, and the remaining 30% for validation. All concepts were mapped to Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT). Results Our system consists of a polyhierarchical ontology containing 692 unique concepts, 2,118 synonyms, and 30,613 nonvisible descriptions to correct misspellings and nonstandard terminology. Our ontology successfully captured structured data for 95.9% of visits in our validation data set. Discussion and Conclusion We present the HierArchical Presenting Problem ontologY (HaPPy). This ontology was empirically derived and then iteratively validated by an expert consensus panel. HaPPy contains 692 presenting problem concepts, each concept being mapped to SNOMED CT. This freely sharable ontology can help to facilitate presenting problem-based quality metrics, research, and patient care.
AB - Objective Numerous attempts have been made to create a standardized presenting problem or chief complaint list to characterize the nature of an emergency department visit. Previous attempts have failed to gain widespread adoption as they were not freely shareable or did not contain the right level of specificity, structure, and clinical relevance to gain acceptance by the larger emergency medicine community. Using real-world data, we constructed a presenting problem list that addresses these challenges. Materials and Methods We prospectively captured the presenting problems for 180,424 consecutive emergency department patient visits at an urban, academic, Level I trauma center in the Boston metro area. No patients were excluded. We used a consensus process to iteratively derive our system using real-world data. We used the first 70% of consecutive visits to derive our ontology, followed by a 6-month washout period, and the remaining 30% for validation. All concepts were mapped to Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT). Results Our system consists of a polyhierarchical ontology containing 692 unique concepts, 2,118 synonyms, and 30,613 nonvisible descriptions to correct misspellings and nonstandard terminology. Our ontology successfully captured structured data for 95.9% of visits in our validation data set. Discussion and Conclusion We present the HierArchical Presenting Problem ontologY (HaPPy). This ontology was empirically derived and then iteratively validated by an expert consensus panel. HaPPy contains 692 presenting problem concepts, each concept being mapped to SNOMED CT. This freely sharable ontology can help to facilitate presenting problem-based quality metrics, research, and patient care.
KW - chief complaint
KW - emergency department
KW - emergency medicine
KW - ontology
KW - presenting problem
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U2 - 10.1055/s-0039-1691842
DO - 10.1055/s-0039-1691842
M3 - Article
C2 - 31189204
AN - SCOPUS:85067463175
SN - 1869-0327
VL - 10
SP - 409
EP - 420
JO - Applied Clinical Informatics
JF - Applied Clinical Informatics
IS - 3
ER -