Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

128
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
128
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

573
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
573
Design Consideration01:22

Design Consideration

187
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key...
187
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

101
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
101
Actuarial Approach01:20

Actuarial Approach

79
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
79
Relative Risk01:12

Relative Risk

171
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
171

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Assertive community treatment for complex and costly patients.

The American journal of managed care·2025
Same author

Leading with Love: An Evidence-Informed Framework for Leading Health System Transformation.

Population health management·2025
Same author

Longitudinal, relationship-based case management: a prospective cohort trial.

The American journal of managed care·2025
Same author

Role of Diabetes Self-management Education for Our Health Systems and Economy.

The Journal of clinical endocrinology and metabolism·2025
Same author

AI and Falls Detection: Great Promise but Gaps in Evidence.

Population health management·2025
Same author

Creative destruction and surgery: The underappreciated X factor.

Surgery·2024

Related Experiment Video

Updated: Jul 4, 2025

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.1K

A Path to Risk: Critical Elements of a Structured Approach.

Mark E Schario1,2, Peter J Pronovost3,4, Patrick Runnels5,6

  • 1UH Quality Care Network & UH Accountable Care Organization, University Hospitals Health System, Cleveland, Ohio, USA.

Population Health Management
|February 7, 2024
PubMed
Summary

Value-based care requires providers to manage both quality and cost. This framework outlines key structural elements for organizations to successfully navigate downside risk arrangements in healthcare.

Keywords:
2-sided riskpayer provider partnershippopulation healthrisk bearingvalue

More Related Videos

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K
Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
08:13

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Published on: January 20, 2019

6.6K

Related Experiment Videos

Last Updated: Jul 4, 2025

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.1K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.1K
Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion
08:13

Development and Implementation of a Multi-Disciplinary Technology Enhanced Care Pathway for Youth and Adults with Concussion

Published on: January 20, 2019

6.6K

Area of Science:

  • Healthcare Management
  • Health Economics
  • Value-Based Care Models

Background:

  • Value-based care (VBC) arrangements are central to accountable care.
  • Most current contracts involve only upside risk, rewarding providers for good performance.
  • Payers are shifting towards downside risk, recalling challenges from past global capitation models.

Purpose of the Study:

  • To present a framework for succeeding in value-based arrangements.
  • To identify essential structural elements for provider organizations assuming downside risk.
  • To offer a practical model for navigating VBC contracts.

Main Methods:

  • Focus on a framework developed at University Hospitals Accountable Care Organization.
  • Applied approach to identify critical structural components.
  • Analysis of essential elements for managing financial and quality outcomes.

Main Results:

  • Identified key elements for success in VBC: quality performance and reporting, risk adjustment, utilization management, care management, network integrity, technology, and contracting.
  • Demonstrated the applicability of these elements even without downside risk.
  • Provided a strategic roadmap for value-based care adoption.

Conclusions:

  • Successful assumption of downside risk in VBC requires robust structural elements.
  • The presented framework offers a practical guide for provider organizations.
  • Strategic planning and implementation of these components are crucial for VBC success.