Value-based care (VBC) aims to maximize outcomes and experiences that matter to patients relative to the resources spent. The Centers for Medicare & Medicaid Services defines it as a model focused on improving quality, provider performance, and patient experience, with clinicians working together to manage a person’s overall health. In this context, “value” refers not only to clinical effectiveness, but also to what patients truly care about in their health outcomes.
As healthcare systems face rising costs, aging populations, and increasing chronic disease burdens, VBC has emerged as a promising alternative to traditional volume-based models. However, despite strong theoretical appeal, scaling VBC beyond pilot programs remains challenging. In this article, Alcimed explores three critical issues that largely determine whether VBC can deliver on its promise.
At its core, VBC asks a simple but demanding question: are patients actually healthier because of care, and is the system using resources efficiently to achieve that health? Michael Porter defined value as outcomes achieved per dollar spent, emphasizing that value must be assessed across the full cycle of care rather than through isolated services or procedures.
In practice, this requires measuring outcomes that matter to patients—such as functional status and quality of life—while aligning payment systems to reward coordination, prevention, and long-term impact. Organizations like the OECD highlight that many VBC models rely on bundled payments or shared savings mechanisms, which shift part of the financial risk to providers. This makes robust data systems and risk management capabilities essential.
Similarly, NHS England frames value-based healthcare as reducing unwarranted variation and ensuring that the right patient receives the right care at the right time, using available resources efficiently. While definitions may vary, the underlying principle is consistent: healthcare should be evaluated based on the outcomes it delivers relative to its cost.
VBC cannot function without reliable measurement, yet defining and capturing meaningful outcomes remains a major challenge. Traditional healthcare systems are built around clinical indicators and process metrics, which do not always reflect what patients value most, such as quality of life or long-term well-being.
To address this gap, initiatives like the OECD Patient-Reported Indicator Surveys (PaRIS) aim to standardize patient-reported outcomes and experiences (PROMs and PREMs), particularly for chronic disease management. These tools represent an important step toward more patient-centered evaluation.
A well-known example is Erasmus MC, which integrates PROMs such as quality of life into routine care, supported by digital tools and multidisciplinary teams. This approach enables earlier detection of patient issues and supports more personalized treatment decisions.
However, this case also highlights a key limitation of VBC. While PROMs improve communication between patients and clinicians, they do not consistently translate into better outcomes. In addition, response rates remain variable, and the data collected is not always effectively used in clinical practice. More fundamentally, there is still no clear consensus on which outcomes should be prioritized or how they should be linked to costs. As a result, even advanced institutions struggle to convert measurement into real value.
VBC depends on the ability to collect, share, and analyze patient data across the entire care pathway. In reality, healthcare systems remain highly fragmented, with data distributed across hospitals, primary care providers, laboratories, and pharmacies, often stored in incompatible IT systems.
This fragmentation limits both care coordination and outcome measurement. Clinicians frequently lack access to a complete and continuous view of the patient, making it difficult to assess treatment effectiveness or make informed decisions. Even when relevant data exists, it is not consistently integrated or used to guide care.
For example, when a patient moves between different providers, key information such as previous treatments, outcomes, or follow-up results may not be fully accessible. This can lead to duplication of tests, delays in care, or suboptimal treatment decisions. In such an environment, it becomes nearly impossible to measure outcomes across the full care cycle, which is essential for VBC.
Ultimately, the lack of interoperability undermines the foundation of value-based care. Without integrated, longitudinal data, healthcare systems cannot reliably assess performance or identify opportunities to improve value.
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A third major challenge lies in the design of payment models and the alignment of financial incentives among stakeholders. Unlike traditional fee-for-service systems, VBC requires payment structures that reward outcomes rather than volume, often involving shared savings or bundled payments.
However, designing these models is complex and can create unintended consequences. Providers are often required to take on financial risk linked to patient outcomes, which introduces uncertainty and may influence behavior. If incentives are poorly calibrated, providers may avoid high-risk or complex patients, or focus narrowly on measurable indicators rather than overall patient well-being.
This challenge is illustrated by the introduction of bundled payments for hip and knee replacements in Region Stockholm. Under this model, providers receive a fixed payment covering the entire care cycle, encouraging efficiency and coordination.
The reform led to cost reductions and more standardized care processes, demonstrating the potential of VBC.However, it also required careful design to ensure that quality of care was maintained and that providers did not engage in risk selection. This example highlights that while payment reform is essential for VBC, it must be accompanied by robust safeguards and appropriate risk adjustment mechanisms to avoid unintended effects.
Value-based care offers a compelling vision for the future of healthcare, but its implementation remains complex and fragile. Success depends not only on the concept itself, but on the ability of healthcare systems to build the necessary infrastructure.
Reliable outcome measurement, integrated data systems, and well-designed financial incentives are all essential components and they are deeply interconnected. Weakness in any one of these areas can undermine the entire model. Alcimed is ready to support all stakeholder involved in value-based care. Let’s co-create the future together don’t hesitate to contact our team.
About the author,
Chaoyue, Senior Consultant Lead in Alcimed’s Life Sciences team in France
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