Shared Decision-Making Depth vs. Visit Throughput Pressure

Business Context

Shared decision-making, in which patients are actively engaged in weighing the risks, benefits, and personal values relevant to a clinical decision rather than simply being told what to do, is associated with improved patient satisfaction, better treatment adherence, and decisions more aligned with individual patient preferences and values. However, genuine shared decision-making takes meaningful time, and visit-based scheduling models under throughput pressure can leave clinicians with insufficient time to engage in the depth of discussion shared decision-making requires, particularly for complex or preference-sensitive decisions.

Healthcare TRIZ Resolution

Rather than compressing shared decision-making uniformly to fit standard visit lengths, or extending all visit lengths uniformly regardless of decision complexity, the resolution identifies preference-sensitive decision points in advance, using clinical criteria that flag when a decision genuinely has multiple reasonable options depending on patient values, and schedules dedicated, appropriately lengthened visit time specifically for these decision points, supported by structured decision aids that patients can review independently beforehand to prepare for a more focused, efficient shared discussion during the visit itself.

Applicable TRIZ Principles

Principle 1 – Segmentation Identify preference-sensitive decisions as a distinct category requiring different visit structure than routine decisions.

Principle 10 – Prior Action Provide structured decision aids for patients to review before the visit, so in-visit discussion can be more focused and efficient.

Principle 3 – Local Quality Allocate additional visit time specifically to decisions that genuinely require it, rather than uniformly across all visit types.

Expected Outcome

Preserved decision-making depth

Better matched visit time allocation

Improved treatment adherence

Reduced clinician time pressure on complex decisions

Decision Indicators

Early indicators that this contradiction is limiting organizational performance include:

No structured process identifying preference-sensitive decisions in advance of a scheduled visit

Clinicians reporting they routinely feel unable to adequately discuss complex, preference-sensitive decisions within standard visit time

No use of patient decision aids to prepare patients for shared decision-making discussions before the visit

Treatment choices for preference-sensitive conditions showing low variation across patients, suggesting limited genuine engagement with individual patient values

Patient experience data indicating dissatisfaction specifically with feeling rushed during major treatment decisions

Monitoring these indicators helps clinical and scheduling leadership match visit structure to the genuine time requirements of shared decision-making rather than applying uniform visit length regardless of decision type.