Researchers at Case Western Reserve University Release New Data on Chronic Kidney Disease (Redesigning Kidney Disease Care To Improve Value Delivery): Kidney Diseases and Conditions – Chronic Kidney Disease

2021 OCT 08 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Data detailed on Kidney Diseases and Conditions - Chronic Kidney Disease have been presented. According to news originating from Cleveland, Ohio, by NewsRx correspondents, research stated, “This article describes the articulation, development, and deployment of a machine learning (ML) model-driven value solution for chronic kidney disease (CKD) in a health system. The ML model activated an electronic medical record (EMR) trigger that alerted CKD patients to seek primary care.”

Financial support for this research came from University Hospitals Accountable Care Organization.

Our news journalists obtained a quote from the research from Case Western Reserve University, “Simultaneously, primary care physicians (PCPs) received an alert that a CKD patient needed an appointment. Using structured checklists, PCPs addressed and controlled comorbid conditions, reconciled drug dosing and choice to CKD stage, and ordered prespecified laboratory and imaging tests pertinent to CKD. After completion of checklist prescribed tasks, PCPs referred patients to nephrology. CKD patients had multiple comorbidities and ML recognition of CKD provided a facile insight into comorbid burden. Operational results of this program have exceeded expectations and the program is being expanded to the entire health system.”

According to the news editors, the research concluded: “This paradigm of ML-driven, checklist-enabled care can be used agnostic of EMR platform to deliver value in CKD through structured engagement of complexity in health systems.”

This research has been peer-reviewed.

For more information on this research see: Redesigning Kidney Disease Care To Improve Value Delivery. Population Health Management, 2021. Population Health Management can be contacted at: Mary Ann Liebert, Inc, 140 Huguenot Street, 3RD Fl, New Rochelle, NY 10801, USA. (Mary Ann Liebert, Inc. - www.liebertpub.com; Population Health Management - http://www.liebertpub.com/overview/population-health-management-formerly-disease-management/301/)

The news correspondents report that additional information may be obtained from Titte R. Srinivas, Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH 44106, United States. Additional authors for this research include Justin J. Coran, Peter J. Pronovost, Esther J. Thatcher, Bradley Patton, Brayden Dunn, Sandeep Palakodeti, Todd Zeiger, Brandi N. Dobbs, Valerie Reese, Patrick Runnels and Nagaraju Sarabu.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1089/pop.2021.0112. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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