TY - GEN
T1 - Analysis of clinical variations in asthma care documented in electronic health records between staff and resident physicians
AU - Sohn, Sunghwan
AU - Wi, Chung Il
AU - Juhn, Young J.
AU - Liu, Hongfang
N1 - Publisher Copyright:
© 2017 International Medical Informatics Association (IMIA) and IOS Press.
PY - 2017
Y1 - 2017
N2 - Clinical documentation using free text to describe a patient's medical status is an essential component of electronic health records (EHRs), and the quality of information in documents plays a critical role in clinical practice and translational research. Physicians are the primary creators of EHRs, but their clinical practices vary substantially, resulting in variations in clinical documentation. These variations can represent a source for potential bias in clinical outcomes and downstream applications using EHRs. Asthma is one example, presenting an inconsistent ascertainment process and criteria. A recent study revealed that resident physicians' knowledge of asthma diagnosis and management is relatively limited. In this study, we examined clinical documentation variations in asthma care between staff and resident physicians using individual words, topics, and asthma-related concepts in EHR clinical narratives. Additionally, we discuss potential biases in building an informatics model and further compare asthma diagnosis and outcomes between two physician groups.
AB - Clinical documentation using free text to describe a patient's medical status is an essential component of electronic health records (EHRs), and the quality of information in documents plays a critical role in clinical practice and translational research. Physicians are the primary creators of EHRs, but their clinical practices vary substantially, resulting in variations in clinical documentation. These variations can represent a source for potential bias in clinical outcomes and downstream applications using EHRs. Asthma is one example, presenting an inconsistent ascertainment process and criteria. A recent study revealed that resident physicians' knowledge of asthma diagnosis and management is relatively limited. In this study, we examined clinical documentation variations in asthma care between staff and resident physicians using individual words, topics, and asthma-related concepts in EHR clinical narratives. Additionally, we discuss potential biases in building an informatics model and further compare asthma diagnosis and outcomes between two physician groups.
KW - Asthma
KW - Documentation
KW - Electronic health records
UR - http://www.scopus.com/inward/record.url?scp=85040518222&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85040518222&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-830-3-1170
DO - 10.3233/978-1-61499-830-3-1170
M3 - Conference contribution
C2 - 29295287
AN - SCOPUS:85040518222
T3 - Studies in Health Technology and Informatics
SP - 1170
EP - 1174
BT - MEDINFO 2017
A2 - Dongsheng, Zhao
A2 - Gundlapalli, Adi V.
A2 - Marie-Christine, Jaulent
PB - IOS Press
T2 - 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
Y2 - 21 August 2017 through 25 August 2017
ER -