Prognosisbased

Prognosisbased is an adjective describing approaches, decisions, or policies that are guided by explicit prognosis estimates of future outcomes, such as survival or disease progression. It is used across disciplines where forecasting patient trajectories or program outcomes informs actions.

In healthcare, prognosisbased care tailors treatment intensity, surveillance, or palliative care to the predicted course of illness. Prognostic scores, trajectory models, and life expectancy estimates provide the basis for selecting interventions, ordering tests, or planning conversations about goals of care.

In public health and health policy, prognosisbased planning uses projected outcomes—such as population-level survival, complication rates, or resource needs—to allocate limited resources, design programs, and set priorities.

Benefits include alignment with patient preferences and objectives, avoidance of futile or burdensome interventions, and more efficient use of resources. It can support shared decision-making by clarifying likely futures and enabling patients and clinicians to choose among options with an understanding of expected trajectories.

Limitations include uncertainty in prognostic estimates, model biases, and variability across individuals. Ethical concerns may arise around equity, informed consent, and the risk of self-fulfilling forecasts. Ongoing validation, calibration, and transparency are important to maintain trust and accuracy in prognosisbased approaches.

The term is not widely standardized and is used descriptively to capture a class of prognosis-driven methods rather than as a formal clinical category. Related concepts include prognosis, prognostic models, risk stratification, predictive analytics, and patient-centered care.