Understanding a patient’s personal, cultural, and social perspective on illness comes from the explanatory model approach. This framework asks patients to express what they think is causing the illness, what they expect to happen, and what counts as evidence of health or disease. The two questions “how is your health?” and “how do you know?” are tools to elicit the patient’s own criteria for health and illness, revealing beliefs about symptoms, causes, and the meaning of their condition. By capturing these beliefs, clinicians can align explanations, plan, and recommendations with what the patient values and trusts, which helps communication and adherence. The other concepts focus more on the clinician’s or society’s viewpoint rather than the patient’s own explanations. The medical model centers on disease from the clinician’s lens; the cultural competence model emphasizes the clinician’s ability to interact across cultures; and the social determinants framework looks at structural factors affecting health.

CDSS mitigation of cognitive bias works by prompting a comprehensive reevaluation, standardizing care pathways, signaling when data conflict or are missing, and providing data-driven risk estimates. This combination is exactly described by listing Comprehensive Second Look, Care Pathways, Conflicting or Missing Data, and Risk Estimates. The comprehensive second look helps prevent premature conclusions, standardizing pathways reduces variation and overreliance on memory, alerts about conflicting or missing data surface issues that might otherwise be overlooked, and data-driven risk estimates give objective context for decisions. The other descriptions mix in terms like anchoring, premature closure, or intuitive judgments, which don’t align with the stated mitigation approach that emphasizes structured processes and objective data.

Identifying hazards is the starting point in risk management planning. A solid risk plan proceeds by surfacing all potential risks or hazards that could affect objectives, then evaluating how likely each is and how severe the impact would be. That assessment guides prioritization and the development of appropriate responses, such as controls, mitigation steps, or contingency plans, and it also sets up who is responsible and how progress will be monitored. Without first identifying hazards, you can’t meaningfully assess, prioritize, or manage risks, so this step is foundational to an effective plan. The other activities mentioned aren’t about managing risk. A marketing strategy focuses on reaching customers and growing revenue, not on identifying or mitigating risks. Capital budgeting deals with evaluating investments and financing, which is financial planning rather than risk management. A staff lunch schedule is an operational detail and not part of the risk assessment and response process.

Understanding how many adverse events are judged preventable shows how often harm in care could have been avoided with different actions or safer systems. In studies like this, each adverse event is reviewed and labeled as preventable or not based on predefined criteria, then the percent labeled preventable is reported. If about 22% of adverse events are judged preventable, that means roughly one in five harms could have been prevented with better safety practices, teamwork, protocols, or system design. It indicates a substantial opportunity to reduce harm through targeted safety improvements. The smaller percentages (5-6%, 1-2%, or 10-12%) would imply far fewer events are avoidable, which would suggest a much smaller margin for improvement; the 22% figure best reflects a meaningful, actionable safety gap.