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Mesh Commons
Home
Membership
Use Cases
  • Cybersecurity
  • Healthcare
  • Financial Services
Who We Are
  • About Us
  • Our Methodology
More
  • Home
  • Membership
  • Use Cases
    • Cybersecurity
    • Healthcare
    • Financial Services
  • Who We Are
    • About Us
    • Our Methodology
  • Home
  • Membership
  • Use Cases
    • Cybersecurity
    • Healthcare
    • Financial Services
  • Who We Are
    • About Us
    • Our Methodology

Healthcare use case

Challenge

 Clinicians face cognitive overload from fragmented data across multiple patient record, monitoring device, and lab results systems. Under time pressure, critical cues were getting lost, and teams had to rely on memory or workarounds instead of shared situational awareness 

Impact

 Slower diagnoses, inconsistent decisions, and higher risk during emergencies. 

Healthcare solution

Our Methodology

  

Mesh Commons deconstructed the clinical decision workflow to triage or hand-off to the ICU - to identify how information is perceived and compared at each stage.

  • Glance mapping isolates the key data a clinician must recognize within two seconds.
  • Comparison structuring aligns how teams interpret vitals, labs, and alerts across roles.
  • Decision view design visualizes patient state and action options in one cognitive frame.

Outcome

Reduced cognitive load, faster treatment decisions, and clearer collaboration between care teams. 

Take the audit

Get a Cognitive Engineering Audit of your application to reveal how cognitive performance gains could apply to your systems. Submit three screenshots, and we’ll return a detailed deconstruction highlighting optimization opportunities and estimating the potential business value. 

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