Knowra Clinical decision-making Clinical decision-making Clinical decision-making is the process of selecting healthcare actions by interpreting evidence, risks, and patient circumstances. It combines clinical knowledge with uncertainty, patient preferences, and the practical context of care.
Clinical reasoning : The cognitive process of interpreting clinical information to understand a patient's condition and guide care. It connects observations and medical knowledge to a working assessment.
Evidence-based medicine : The integration of best available research, clinical expertise, and patient values in healthcare decisions. It sets out how research evidence should inform individual care.
Clinical intuition : A rapid judgment formed from experience and pattern recognition, often without conscious step-by-step analysis. Intuition can speed decisions but may be vulnerable to cognitive bias.
Patient safety : The prevention of avoidable harm to patients during the provision of healthcare. Sound choices can prevent treatment errors and reduce avoidable clinical harm.
Bayesian inference : A method of updating the probability of a hypothesis as new evidence becomes available. Clinicians revise diagnostic likelihoods as tests and observations accumulate.
Clinical epidemiology : The application of epidemiological methods to questions about the causes, diagnosis, prognosis, and treatment of health problems. It provides methods for evaluating evidence relevant to patient care.
Analytical reasoning : Deliberate, stepwise evaluation of evidence and alternatives to reach a judgment. It contrasts with rapid intuitive judgment when a case is complex or uncertain.
Medical error : A preventable failure in the process of care that may or may not cause harm. Decision failures can contribute to errors in diagnosis, treatment, or follow-up.
Diagnostic reasoning : The process of generating, evaluating, and revising explanations for a patient's symptoms and signs. Diagnosis often frames which treatments and further tests are considered.
Risk-benefit analysis : A comparison of the expected benefits and harms of an action or intervention. Clinical choices weigh possible improvement against treatment harms.
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