Glossary

Healthcare in 3D Terms and Phrases

  • Barriers to Value — Organizational, semantical, and technological interoperabilities that inhibit the flow of information between Network Entities, making the value of Provider Actions difficult, if not impossible, to evaluate.
  • Future Value Outcomes — The ratio of predicted outcomes to cost, the 3rd dimension of HCn3d. Note: Value can be defined in ways other than monetary cost. For example longevity and pain management.
  • p-value — Is a measure of the probability that an observed difference could have occurred just by random chance. The lower the p-value, the greater the statistical significance of the observed difference. In a nutshell, the greater the difference between two observed values, the less likely it is that the difference is due to simple random chance, and this is reflected by a lower p-value. — What a p-value tells you about statistical significance | Accessed December 14, 2021. Typically a p-value of .05 is used as the cutoff for significance. If the p-value is less than .05 it is concluded that a significant difference does exist. Essentially a less than 5% chance a conclusion is wrong. — What Can You Say When Your P-Value is Greater Than 0.05? | Accessed December 15, 2021 Video Primer: p-values: What they are and how to interpret them
  • Q-value (Action value) (Machine Reinforcement Learning) — Is the prediction of the Q Function which formulates the highest probable Reward from the sequences of State/Action pairs, essentially a consideration of all Action Spectrums from the current cube through the last cube achieving the desired Trajectory. It is HCn3D best “guess” for the desired future outcomes at the current Inflection Point. Together with Policy the application of Counterfactual analysis.
  • Value — Ratio of outcomes to cost.
  • Value (Machine Reinforcement Learning) — Is reflected in the Action Spectrum at the end of a cube sequence, essentially a long-term return value as opposed to a short-term reward.
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