Abstract: The Probability-Utility Model is dependent on the clinical practice guideline for its function. The Model func-tions to provide decision analyses that demonstrate to clinicians and patients how personal preferences change the charac-ter of best evidence. Initially, patients are provided a clinical practice guideline based on “average patient ” best evidence. The Model works to demonstrate how decision, utility, and cost best evidence impact on decisions. It offers to patients an explanation of these impacts. Thus, patients may become more informed about the choices that go into making optimal clinical decisions for their own personal health care. The model also provides for visual images to be used in discussing their personal cho...
As health professionals and patients are moving toward shared models of decision making, there is a ...
Decision aids (DAs) are tools to support consu-mers make informed health decisions with their practi...
AbstractBecause decision modeling involves the construction of an explicit, mathematically describab...
The need for patient engagement has been recognized by regulatory agencies, but there is no consensu...
Patients are the most important actors in clinical research. Therefore, patient preference informati...
We review two recent trends: the emergence of evidence-based medicine and the growing use of Bayesia...
A decision analysis framework for risk models for health state transitions and valuations is describ...
Abstract Background Tools for shared decision-making (e.g. decision aids) are intended to support he...
Abstract: Decision analysis has become an increasingly popular decision-making tool with a multitude...
Attempts by others to model medical diagnosis and treatment as decision making under risk have found...
Background In shared decision-making, a key step is quantifying the patient's preferences in relatio...
BACKGROUND: Estimating the value of medical treatments to patients is an essential part of healthcar...
As health professionals and patients are moving toward shared models of decision making, there is a ...
The widespread adoption of Information and Communication Technologies (ICT) in the healthcare indust...
Current models of care emphasize the importance of including patients ’ values in the decision-makin...
As health professionals and patients are moving toward shared models of decision making, there is a ...
Decision aids (DAs) are tools to support consu-mers make informed health decisions with their practi...
AbstractBecause decision modeling involves the construction of an explicit, mathematically describab...
The need for patient engagement has been recognized by regulatory agencies, but there is no consensu...
Patients are the most important actors in clinical research. Therefore, patient preference informati...
We review two recent trends: the emergence of evidence-based medicine and the growing use of Bayesia...
A decision analysis framework for risk models for health state transitions and valuations is describ...
Abstract Background Tools for shared decision-making (e.g. decision aids) are intended to support he...
Abstract: Decision analysis has become an increasingly popular decision-making tool with a multitude...
Attempts by others to model medical diagnosis and treatment as decision making under risk have found...
Background In shared decision-making, a key step is quantifying the patient's preferences in relatio...
BACKGROUND: Estimating the value of medical treatments to patients is an essential part of healthcar...
As health professionals and patients are moving toward shared models of decision making, there is a ...
The widespread adoption of Information and Communication Technologies (ICT) in the healthcare indust...
Current models of care emphasize the importance of including patients ’ values in the decision-makin...
As health professionals and patients are moving toward shared models of decision making, there is a ...
Decision aids (DAs) are tools to support consu-mers make informed health decisions with their practi...
AbstractBecause decision modeling involves the construction of an explicit, mathematically describab...