Improving workload management for reducing readmissions and follow-up visits in outpatient practice using a novel application - Cohort Knowledge Solutions (CKS)

Divaakar Siva Baala Sundaram, Shivaram P. Arunachalam, Tiffany M. Berg, Carolyn M. Devens, Laurie L. Bicknese, Beena A. Thattil, Praveen K. Ramu, Rajeev Chaudhry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Electro Information Technology, EIT 2017
PublisherIEEE Computer Society
Pages134-137
Number of pages4
ISBN (Electronic)9781509047673
DOIs
StatePublished - Sep 27 2017
Event2017 IEEE International Conference on Electro Information Technology, EIT 2017 - Lincoln, United States
Duration: May 14 2017May 17 2017

Other

Other2017 IEEE International Conference on Electro Information Technology, EIT 2017
CountryUnited States
CityLincoln
Period5/14/175/17/17

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Health
Health care
Application programs
Information technology

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Sundaram, D. S. B., Arunachalam, S. P., Berg, T. M., Devens, C. M., Bicknese, L. L., Thattil, B. A., ... Chaudhry, R. (2017). Improving workload management for reducing readmissions and follow-up visits in outpatient practice using a novel application - Cohort Knowledge Solutions (CKS). In 2017 IEEE International Conference on Electro Information Technology, EIT 2017 (pp. 134-137). [8053344] IEEE Computer Society. https://doi.org/10.1109/EIT.2017.8053344

Improving workload management for reducing readmissions and follow-up visits in outpatient practice using a novel application - Cohort Knowledge Solutions (CKS). / Sundaram, Divaakar Siva Baala; Arunachalam, Shivaram P.; Berg, Tiffany M.; Devens, Carolyn M.; Bicknese, Laurie L.; Thattil, Beena A.; Ramu, Praveen K.; Chaudhry, Rajeev.

2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society, 2017. p. 134-137 8053344.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sundaram, DSB, Arunachalam, SP, Berg, TM, Devens, CM, Bicknese, LL, Thattil, BA, Ramu, PK & Chaudhry, R 2017, Improving workload management for reducing readmissions and follow-up visits in outpatient practice using a novel application - Cohort Knowledge Solutions (CKS). in 2017 IEEE International Conference on Electro Information Technology, EIT 2017., 8053344, IEEE Computer Society, pp. 134-137, 2017 IEEE International Conference on Electro Information Technology, EIT 2017, Lincoln, United States, 5/14/17. https://doi.org/10.1109/EIT.2017.8053344
Sundaram DSB, Arunachalam SP, Berg TM, Devens CM, Bicknese LL, Thattil BA et al. Improving workload management for reducing readmissions and follow-up visits in outpatient practice using a novel application - Cohort Knowledge Solutions (CKS). In 2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society. 2017. p. 134-137. 8053344 https://doi.org/10.1109/EIT.2017.8053344
Sundaram, Divaakar Siva Baala ; Arunachalam, Shivaram P. ; Berg, Tiffany M. ; Devens, Carolyn M. ; Bicknese, Laurie L. ; Thattil, Beena A. ; Ramu, Praveen K. ; Chaudhry, Rajeev. / Improving workload management for reducing readmissions and follow-up visits in outpatient practice using a novel application - Cohort Knowledge Solutions (CKS). 2017 IEEE International Conference on Electro Information Technology, EIT 2017. IEEE Computer Society, 2017. pp. 134-137
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