TY - GEN
T1 - Improving workload management for reducing readmissions and follow-up visits in outpatient practice using a novel application - Cohort Knowledge Solutions (CKS)
AU - Sundaram, Divaakar Siva Baala
AU - Arunachalam, Shivaram P.
AU - Berg, Tiffany M.
AU - Devens, Carolyn M.
AU - Bicknese, Laurie L.
AU - Thattil, Beena A.
AU - Ramu, Praveen K.
AU - Chaudhry, Rajeev
N1 - Publisher Copyright:
© 2017 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/9/27
Y1 - 2017/9/27
N2 - Outpatient practice forms an integral part of medical care for patients needing care who are not admitted into the hospital, but receive the needed care and are discharged the same day which also largely includes primary care service. The growing demand for primary care physicians added by the complexity in managing outpatient practice effectively demands an optimized practice management system to coordinate care between different departments and provide high quality care on a timely fashion. The advent of health information technology has rapidly changed the way how outpatient practice has been done especially with the use of Electronic Health Records (EHR). Efficient use of such EHR has always been challenging, and several commercial software applications are available to facilitate outpatient practice management such as Microsoft's Amalga. However, commercial software does not aptly fit the needs of dynamically changing requirements in a hospital setting. Hence, the outpatient practice management department in Mayo Clinic which consistently ranks at the top in providing high quality care developed a custom outpatient practice application called Cohort Knowledge Solutions (CKS) to optimize the practice workflow and hence needs of the patients. This paper describes the design and development of CKS system, and its application in CTP/palliative care department and heart clinic which improved workload management, reduced follow up visits and readmission of patients using CKS.
AB - Outpatient practice forms an integral part of medical care for patients needing care who are not admitted into the hospital, but receive the needed care and are discharged the same day which also largely includes primary care service. The growing demand for primary care physicians added by the complexity in managing outpatient practice effectively demands an optimized practice management system to coordinate care between different departments and provide high quality care on a timely fashion. The advent of health information technology has rapidly changed the way how outpatient practice has been done especially with the use of Electronic Health Records (EHR). Efficient use of such EHR has always been challenging, and several commercial software applications are available to facilitate outpatient practice management such as Microsoft's Amalga. However, commercial software does not aptly fit the needs of dynamically changing requirements in a hospital setting. Hence, the outpatient practice management department in Mayo Clinic which consistently ranks at the top in providing high quality care developed a custom outpatient practice application called Cohort Knowledge Solutions (CKS) to optimize the practice workflow and hence needs of the patients. This paper describes the design and development of CKS system, and its application in CTP/palliative care department and heart clinic which improved workload management, reduced follow up visits and readmission of patients using CKS.
UR - http://www.scopus.com/inward/record.url?scp=85033697801&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85033697801&partnerID=8YFLogxK
U2 - 10.1109/EIT.2017.8053344
DO - 10.1109/EIT.2017.8053344
M3 - Conference contribution
AN - SCOPUS:85033697801
T3 - IEEE International Conference on Electro Information Technology
SP - 134
EP - 137
BT - 2017 IEEE International Conference on Electro Information Technology, EIT 2017
PB - IEEE Computer Society
T2 - 2017 IEEE International Conference on Electro Information Technology, EIT 2017
Y2 - 14 May 2017 through 17 May 2017
ER -