Related Experiment Video
Updated: Jul 13, 2025
06:10
Using Generative Art to Convey Past and Future Climate Transitions
Published on: March 31, 2023
993
Demystifying Prognosis : Understanding the Science and Art of Prognostication
Shauna Gibbons1, Christian T Sinclair2
1Division of Palliative Medicine, University of Kansas Health System, 4000 Cambridge St, Kansas City, KS, USA. sgibbons@kumc.edu.
Cancer Treatment and Research
|October 18, 2023
Summary
Prognostication, the science of predicting patient outcomes, is crucial for goal-concordant care. Enhancing medical education in prognosis communication is essential for patient-centered medicine.
Area of Science:
- Medical Education
- Clinical Skills
- Patient Care
Background:
- Historically, prognostication was not a core clinical skill in medicine.
- Modern medicine is increasingly emphasizing patient autonomy and end-of-life discussions.
- This shift necessitates a greater focus on the science and communication of prognosis.
Purpose of the Study:
- To explore the science of prognostication.
- To examine methods for formulating accurate prognoses.
- To discuss challenges in communicating prognosis to patients.
Main Methods:
- Literature review on prognostication science.
- Analysis of methods for prognosis formulation.
- Discussion of communication strategies for prognosis.
Main Results:
- Prognostication is integral to goal-concordant patient care.
- Patient-centered care models highlight the importance of prognosis.
- Effective communication of prognosis is key.
Conclusions:
- Medical education must incorporate prognostication as a core skill.
- Improved understanding and communication of prognosis enhance patient care.
- Further emphasis on teaching prognosis is recommended.
Related Concept Videos
01:12Hindsight Biases
3.4K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
3.4K
01:05Estimation of the Physical Quantities
4.3K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
4.3K
01:21Cancer Survival Analysis
357
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
357
01:18Steps in Outbreak Investigation
135
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
135
01:03Prediction Intervals
2.3K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
2.3K
01:13Psychology as a Science
716
Psychology, as a scientific discipline, aims to understand the mind and behavior through rigorous and systematic methods. The foundation of psychological research is evidence-based, relying heavily on the scientific method to derive and validate knowledge. This structured approach ensures that findings are reliable, valid, and applicable to broader contexts.
The scientific method in psychology involves six critical steps: making observations, formulating hypotheses, conducting tests, analyzing...
The scientific method in psychology involves six critical steps: making observations, formulating hypotheses, conducting tests, analyzing...
716