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Dive into the complexities of clinical freedom and decision-making in healthcare, exploring the balance between freedom and responsibility. Discover the implications of cognitive biases, systematic errors, and the need for intuitive skills in clinical practice. Learn about the application of probabilistic methods, Bayesian reasoning, and decision support software in enhancing clinical care. Explore the cognitive continuum, traditional scientific methods, and the interplay between linear and non-linear models in healthcare decision-making.
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“If things were simple, word would have gotten round.”Derrida - 1988 GP4 – Masterclass November 2001 Dr Alan Hassey
Clinical Freedom • The freedom to get things wrong? • The freedom to do things badly? • The freedom to act against patients’ best interests? • The freedom to evade clinical & professional responsibility? • The freedom to offer second-rate care?
The cost of clinical freedom • Harold Shipman • Bristol babies scandal • Rodney Ledward • Alder Hay post-mortem scandal • What about you….? • What about me….?
How we make decisions • Actuarial judgement is frequently better than clinical judgement • We are better at identifying & coding clinical data than we are at integrating and using it… • We are poor at estimating probabilities - we use heuristics which are generally useful but can lead to systematic errors & biases
Systematic errors or biases • Adjustment - the fallacy of inappropriate extrapolation - prognosis from previous experience • Availability - easily retrievable instances, people tend to prefer causative explanations • Superstition – unlikely events do not have any special significance • Cognitive conceit - the illusion of expertise • Representativeness - the problem of small samples
How we should make decisions • Application of probabilistic methods to clinical reasoning • Bayesian approach - modify our beliefs in the light of new evidence • Post test P = Pre test P x LR • What place for intuition? • Coping with complexity?
Clinical reasoning, decision analysis & support • Two main themes • The application of appropriate linear, probabilistic models to clinical reasoning • The application of expert judgement to clinical reasoning • Decision Support s/w can apply both statistical and expert judgement systems to the process of clinical care
So why health informatics? • Health informatics comprises the science of information management in health care and its application to support clinical practice, decision-making and research. • Triadic consultation • To bring the patient, doctor and relevant information together in such a way as to facilitate clinical care...
A cognitive dilemma Need to develop a new intellectual model to weave together these three strands: • The appropriate application of a scientific (probabilistic/linear) method & cognitive model - the traditional scientific clinical method. • The various narratives that make up the patient's health (illness) story • The unpredictable, intuitive, (Balint-like) flash of understanding (non-linear)
Hamm’s Cognitive Continuum • Formal deductive logic/experiment • Controlled trial with explicit degrees of uncertainty • Critical analysis & epidemiological data • System-aided model based on judgement • Peer-aided review • Intuitive (heuristic) judgement
Hospital Higher probability of disease Disease well-differentiated Disease separated from patient Biomedical labelling Diseases stay, patients come & go GP Lower probability of disease Disease poorly-differentiated Patient & illness inseparable No labels in 30% (+) Patients stay, diseases come & go The need for intuitive skills
Complexity • The DPR is a complex system • Some tasks are dealt with better by intuition • Analysis & recording tends to be reductionist (e.g. clinical codes) • Non-linear science allows us to consider narrative & intuition as part of clinical practice
Linear Traditional scientific method Left brain Logical cognitive model Hypothetico-deductive, pattern recognition Probabilistic Reductionist Evidence-based Quantitative Good for complicated problems Non-linear The “art” of medicine Right brain Intuitive cognitive model Interpretive, contextual Unpredictable (within boundaries) Holistic Narrative-based Qualitative Good for complex problems A new model for clinical method
Models in action Need to understand and apply a clinical method that incorporates • Best scientific evidence & cognitive model (alcoholism, poor diet, smoker) • An appreciation of illness narrative (family, sexual & work problems) • A model for the complexity (non-linearity) of the patient’s environment. (Patient as powerless victim, understanding of context)
Promoting intuitive skills • Level 7 of the cognitive continuum? • Suspend analysis • Intuitive mood • Non-judgemental awareness • 90% of communication is non-verbal • Clinician as healer (Balint > doctor as drug)
Decision support • Models • Rule-based (knowledge or probability) • Connectionist (emergent) • Holistic not problem-based • Narrative not codes • Input from non-verbal communication • Annotate & display whole model
Links to folk models of health & illness Narrative streams that are patient’s history Coded, H-D or P-R, reductionist model, “doctor-centred” Insight contextual understanding “patient-centred” Doctor as “healer” Family, work & sexual problems Self as “victim”, powerless, enhanced status after OD Alcoholic, smoker, self-neglect, attempted suicide Health interventions – physical, psychological, social Links to task models of health & illness Application of EB (Probabilistic) approach to health interventions