Putting analytics into action in care coordination research: Emerging issues and potential solutions

Abstract

Care coordination involves shaping patient care activities and sharing information among all participants concerned with a patient's care to achieve safe and effective care. The objectives of care coordination are to promote sharing of patients' clinical information, keep patients and families informed, and manage effective referrals and care transitions. Failures in care coordination account for a large amount of waste per year in the United States. Many innovative healthcare organizations have recently recognized the danger of poorly coordinated care and have implemented analytics to improve it. Therefore, more analytics-based research (especially combining explanatory analytics with predictive analytics) is needed to direct efforts to improve care coordination. This paper focuses on systematically studying the extant literature to understand how analytics play a role in improving care coordination. Our goal is to identify a set of key research questions that would lead to new research areas in the use of analytics for care coordination. Based on these questions, we offer new analytics solution pathways to care coordination problems. K E Y W O R D Sbusiness analytics, care coordination, care transition, referral management … care coordination is not just a value proposition (higher quality, lower costs) but a patientsafety issue. Patients can be harmed when the many moving parts of their care are out of sync. We owe it to them to coordinate the care we provide and prevent this type of medical error.

Impact of credit default swaps on firms’ operational efficiency

“…By matching each treated firm with one control firm with the closest propensity score, we obtain the PSM-matched firms. The logit regression model is as follows: Next, we obtain all the observations from 1997 to 2014 for the PSM-matched firms and use the new sample created to conduct the PSM-difference-in-differences (DiD) test by reestimating our regression equation (3) (Cheng et al, 2020;Fan et al, 2022;Kumar et al, 2022aKumar et al, , 2022bPan & Qiu, 2022). 9 The comparison of the summary statistics of the treatment group and control group before and after PSM is shown in the Supporting Information (Table OA5).…”

Permeation of the term “analytics” in production and operations management research

“…Here, we adopted a simplified method for enhanced visualization that points to an exciting path forward for analytics and operations management researchers. In particular, we expect supply chain (Delasay et al., 2022; Stekelorum et al., 2022) and health‐care (Kumar et al., 2022; Qiu et al., 2022) analytics studies to remain prominent in the near future. In addition, studies on updating real‐time demand will continue to appear as new models and algorithms are developed for doing so.…”

“…In particular, we expect supply chain (Delasay et al, 2022;Stekelorum et al, 2022) and health-care (Kumar et al, 2022;Qiu et al, 2022) analytics studies to remain prominent in the near future. In addition, studies on updating real-time demand will continue to appear as new models and algorithms are developed for doing so.…”

Expanding the boundaries of the discipline: The 30th‐anniversary issue of Production and Operations Management

“…The COVID‐19 pandemic has brought healthcare operations to the forefront (Kumar et al., 2022). Youn et al.…”