Low-Fidelity Clinical Decision Making Tree

A decision tree to help speech-language pathologists (SLPs) decide the assessments to use and characteristics to look at when working with patients with right-hemisphere dysfunction following a stroke.

Understanding the Needs

The problem

The clinical decision guide will synthesize research recommendations to guide SLPs through selecting materials and assessing patients appropriately.

The Users

SLPs across diverse care levels (acute care, inpatient rehabilitation, day rehabilitation programs and outpatient).

The Project

  • Met with key stakeholders, practice leaders and SLPs to understand the gaps in knowledge and pain points during the assessment process.

  • Created an intuitive flow chart for users to identify key information to complete assessments of patients.

Synthesizing and Wireframing

Synthesized research to match deficit areas with prescribed assessments

Design Elements

  • Arrows to guide the user through the chart

  • Use of color to group similar information: general information (yellow), high assessment track information (high) and low assessment track information (green).

  • Use of proximity and spacing to guide the users eyes

Deliverables and Next Steps

Deliverables

  • Research synthetization chart

  • Decision-tree for clinicians to reference

  • Presentation in a 2 hour continuing education course with case study applications

Next Steps

I envision this project becoming an living application or as part of a website. Rather than being a decision tree, the application would lead clinicians through the process where scores can be input and items can be selected for the system to guide the user to an appropriate diagnosis.

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Low-Fidelity Prototype in Figma