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Girish Suryajoies

Principal UX Designer

 Health Monitoring 

role: Senior Design Consultant

team: 5

responsibility: Design Lead / Strategy / Designer Reviewer

duration: 12+ Months

Introduction

The PhysIQ clinical portal is a web, mobile, and tablet-based dashboard enabling clinicians to remotely monitor patient physiological data streamed from wearable biosensors. As a core part of the FDA-cleared pinpointIQ platform, it supports remote patient monitoring (RPM) and virtual care models such as post-acute care, hospital-at-home, and clinical trials.

Requirement

  • Improving the user experience (usability, clinician workflow, satisfaction)

  • Extending the feature set (workflow automation, risk prediction, data integration) for clinicians in both healthcare and life sciences settings

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Goal

  • Gain foundational understanding of RPM and virtual care enablement

  • Capture the perspectives and workflow needs of clinician users

  • Assess the current PhysIQ clinician portal to uncover usability or workflow gaps

  • Identify and prioritize feature/functionality improvements focused on the event workflow (from event detection to intervention and documentation).

Double Diamond Process for Clinician Portal

Discover (Explore Problem)

  • Conduct interviews and shadow clinicians, nurses, and trial operators to observe real-world event workflows, pain points with current UI, and issues like alert fatigue.

  • Gather feedback on mobile/tablet usage, clinical trial needs, and documentation bottlenecks.

  • Benchmark innovative dashboards, timeline views, and notification strategies used in healthcare technology.

Define (Clarify Opportunity)

  • Synthesize insights from discovery into key problem statements:
    - Too many unprioritized alerts overwhelm clinicians.
    - Event data lacks contextual timeline and severity annotation.
    - Dashboard layout is cluttered and role-agnostic.
    - Mobile workflow isn't intuitive or fast for urgent actions.
    - Trial teams need cohort views and regulatory template support.

  • Prioritize design goals for the event timeline, severity prioritization, and real-time mobile access.​

Develop (Generate Solutions)

  • Ideate and co-create annotated event timeline concepts, UI sketches for role-based dashboards, severity-based alert systems, and streamlined notification flows.

  • Prototype one-click intervention features (call, message, escalate), custom cohort documentation templates, and touch-optimized bedside tablet screens.

  • Test prototypes with end-users (clinicians, nurses, trial operators) for usability, clarity, and responsiveness.

Deliver (Implement & Refine)

  • Roll out validated features: event timeline view, severity-layered alerts, and mobile/tablet integration for bedside and remote care.

  • Launch user-centered dashboards tailored by clinical role, supported by flexible real-time data visualization and patient baseline comparisons.

  • Provide trial teams with study-based workflow grouping and regulatory-aligned templates.

  • Gather ongoing feedback, iterate quickly, and update features to improve event workflow, engagement, and compliance.

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6.2_RolesPermissions_Web Portal -Clinical Viewer I.png
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53.2_Watchlist - Event selection flow.png
57.6_Watchlist - Coverage right click.png

Value additions

  • Use AI models to predict early deterioration risk (e.g., based on continuous biosensor data trends, AI flags a high probability of a future cardiac event before vitals cross thresholds).

  • AI can classify events automatically (low/medium/high severity) to prioritize clinician attention, reducing false alarms and alert fatigue.

  • Automatically generate concise clinical summaries of patient data trends and event logs, helping clinicians save time
    in reviews.

  • Move from static, population-level thresholds to individualized baselines where the AI dynamically adjusts thresholds based on patient-specific biometrics.

  • AI can suggest anomaly patterns in trial populations, improving early signal detection and reducing data review time for research teams.

  • Integrate a chatbot assistant for clinicians that can respond to queries

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