Clinical Decision Support Platform for Cardiovascular Analysis

Turning complex health data into clear, actionable insights for clinicians.

Product impact

Bridged the gap between complex health data and confident clinical decision-making.
Improved clinical decision-making
by enabling clinicians to transform complex healthcare data into interpretable cardiovascular insights through a structured analysis workflow
Increased confidence in analysis
by providing transparency into the analysis process by allowing users to inspect signal quality, select data windows, and review supporting measurements before saving results
Streamlined diagnostic workflows
by consolidating patient intake, signal review, analysis, and reporting into a single end-to-end platform, reducing workflow fragmentation

Overview

Impulse Medical, a start-up medical software company in San Diego, wanted to build a software that supports cardiovascular assessment through the analysis of physiological data.
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Due to the proprietary nature of the product, specific workflows. algorithms, and clinical outputs are omitted in this case study.

The challenge

The challenge was not to maximize features or display all the data available, but to help users quickly understand what information mattered most and what actions to take next. The stakeholders had a lot of different capabilities they initially thought they wanted to include in the MVP version but we quickly learned a lot of the "nice to haves" were actually distracting users from efficiently utilizing the product.

Challenges:
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• Large amounts of data and technical information
• Multiple decision points
• Need for accurach and confidence
• Complex clinical workflows

Designing for clarity and action

My approach was to create a simple workflow that allowed clinicians to utilize the data and make confident decisions for what actions to take from the output. Rather than focusing solely on data presentation, I focused on:
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• Reducing cognitive load and visual noise
• Establishing clear information hierarchy
• Creating guided workflows
• Balancing simplicity with accuracy
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The workflow

A structured workflow helped guide users through a complex process while minimizing steps and maximizing trust and accuracy. We identified requirements for MVP that would build trust in users and make the data upload and review process extremely easy to utilize.
Mapping the end-to-end workflow helped identify opportunities to reduce cognitive load, improve guidance, and support confident decision-making.

Designing for decision-making

1. Structured intake workflows reduced friction while ensuring users had the information required to move forward

2. Introduced clear review and selection patterns to support confidence before analysis

3. Key information was surfaced and complex information was organized into digestable sections. Even more detailed information that was nice to have but not necessary to move forward in the flow were placed in menus/settings and modals

Product impact

This product bridged the gap between complex health data and confident clinical decision-making. The resulting experience transformed technical information into a structured workflow that helped clinicians review, interpret, and act on data more effectively.

Key takeaways

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