A Prescriptive Analytic Solution to the Problem of No-Shows
- The patients at-risk of missing an appointment, showing up late, or cancelling within a specified timeframe
- The factors influencing that risk of cancelation including the clinical and non-clinical drivers such as lack of access to transportation, depression, and language barriers
- Insight into which patients can be impacted and the specific actions that will reduce the risk of a no-show appointment
 T. Gebhart, "No-Show Management in Primary Care: A Quality Improvement Project," Sholar Archive, p. 28, 13 April 2017.
 P. Bjorn Berg, B. Michael Murr, M. David Chermak, M. Jonathan Woodall, M. M. Michael Pignone, M. M. Robert S. Sandler and P. Brian Denton, "Estimating the Cost of No-shows and Evaluating the Effectos of Mitigation Strategies," Medical Decision Making, vol. 33, no. 8, pp. 976-985, 2013.
 M. Fred DeGrandis, L. Hultine and M. Craig Nielsen, Reducing No-Shows to Enhance Patient Access and Provider Satisfaction, ACHE Managment Innovations Poster Session, 2016.
 P. Naomi L. Lacy, M. M. Audrey Paulman, B. Matthew D. Reuter and M. A. F. Bruce Lovejoy, "Why We Don't Come: Patient Perceptions on No-Shows," The Annals of Family Medicine, vol. 2, no. 6, pp. 541-545, 2004.
Cognitive Technology Empowers Swift, Effective Healthcare Workflows—Improving Patient Outcomes and Empowering CaregiversLet’s start with a quick study in what makes a technology fail. The CueCat was a much-hype...
Onslow Memorial Hospital Shows the Industry that Even a Small Hospital can Achieve Prescriptive Analytic SuccessOnslow Memorial Hospital is a 160-bed hospital serving coastal Carolina that has taken bold steps...