TY - GEN
T1 - Using Unstructured Data to Identify Readmitted Patients
AU - Rastegar-Mojarad, Majid
AU - Lovely, Jenna K.
AU - Pankratz, Joshua
AU - Sohn, Sunghwan
AU - Ihrke, Donna M.
AU - Merchea, Amit
AU - Larson, David W.
AU - Liu, Hongfang
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/8
Y1 - 2017/9/8
N2 - Readmission rate is a quality metric for hospitals. The electronic medical record is the main source to identify readmitted patients and calculating readmission rates. Difficulties remain in identifying patients readmitted to a facility different than the one performing the procedure. In this study, we assessed the impact of using unstructured data in detecting readmission within 30 days of surgery. We implemented two rule-based systems to recognize any mention of readmission in follow-up phone call conversions. We evaluated our systems on datasets from two hospitals. Our evaluation showed using unstructured data, in addition to structured data, increased sensitivity in the both dataset, from 53 to 81 and 66 to 87 percent.
AB - Readmission rate is a quality metric for hospitals. The electronic medical record is the main source to identify readmitted patients and calculating readmission rates. Difficulties remain in identifying patients readmitted to a facility different than the one performing the procedure. In this study, we assessed the impact of using unstructured data in detecting readmission within 30 days of surgery. We implemented two rule-based systems to recognize any mention of readmission in follow-up phone call conversions. We evaluated our systems on datasets from two hospitals. Our evaluation showed using unstructured data, in addition to structured data, increased sensitivity in the both dataset, from 53 to 81 and 66 to 87 percent.
UR - http://www.scopus.com/inward/record.url?scp=85032359856&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032359856&partnerID=8YFLogxK
U2 - 10.1109/ICHI.2017.99
DO - 10.1109/ICHI.2017.99
M3 - Conference contribution
AN - SCOPUS:85032359856
T3 - Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017
SP - 1
EP - 4
BT - Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017
A2 - Cummins, Mollie
A2 - Facelli, Julio
A2 - Meixner, Gerrit
A2 - Giraud-Carrier, Christophe
A2 - Nakajima, Hiroshi
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Healthcare Informatics, ICHI 2017
Y2 - 23 August 2017 through 26 August 2017
ER -