Literature DB >> 26817266

The Risks and Rewards of Value-Based Reimbursement.

Robert J Henkel, Patricia A Maryland.   

Abstract

As healthcare systems across the country shift to value-based care, they face an enormous challenge. Not only must they reimagine how they identify, engage, and manage the care of patients, they also need to determine new ways of engaging and aligning physicians and other caregivers in creating better-coordinated care across the continuum. This article explores how healthcare systems making the transition from volume to value can maximize their reward while managing their risk. As the largest not-for-profit healthcare system in the United States and the largest Catholic healthcare system in the world, Ascension is committed to making its own transition, marked by broad-based innovation. We call this goal the Quadruple Aim: improving health outcomes, patient experiences, and provider experiences while lowering the overall cost of care. Healthcare systems and providers have many value-based models to choose from, including pay for performance (P4P), shared savings, bundled payments, shared risk, global capitation, and provider-sponsored health plans. Analysis of these options should include an evaluation of market readiness (i.e., the ability of a health system to align with the needs of employers or commercial insurers in a given market). Healthcare systems also must be prepared to invest in resources that facilitate effective transitions and continuity of care--for example, care management. In addition, they need to recognize that as they focus on wellness, inpatient volumes will decline, requiring cost-structure adjustments and added ancillary services to compensate for this decline. Some healthcare systems are even exploring the possibility of becoming their own payer, taking on more risk and responsibility for the health of patients and populations.

Entities:  

Mesh:

Year:  2015        PMID: 26817266

Source DB:  PubMed          Journal:  Front Health Serv Manage        ISSN: 0748-8157


  3 in total

1.  Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography.

Authors:  Ayis Pyrros; Jorge Mario Rodríguez-Fernández; Stephen M Borstelmann; Judy Wawira Gichoya; Jeanne M Horowitz; Brian Fornelli; Nasir Siddiqui; Yury Velichko; Oluwasanmi Koyejo Sanmi; William Galanter
Journal:  J Am Coll Radiol       Date:  2022-01       Impact factor: 5.532

2.  Eleven-year trends of inpatient pacemaker implantation in patients diagnosed with sick sinus syndrome.

Authors:  Avirup Guha; Xiao Xiang; Devin Haddad; Benjamin Buck; Xu Gao; Michael Dunleavy; Ellen Liu; Dilesh Patel; Vadim V Fedorov; Emile G Daoud
Journal:  J Cardiovasc Electrophysiol       Date:  2017-06-22       Impact factor: 2.942

3.  Factors Influencing Variations in Hospitalization for Diabetes with Hypoglycemia.

Authors:  Waleed Kattan; Thomas T H Wan
Journal:  J Clin Med       Date:  2018-10-18       Impact factor: 4.241

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.