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How Potrero Medical Enabled Faster AKI Risk Detection

A bedside tablet application replaced manual blood work review with automated trend visualisation, enabling clinicians to identify Acute Kidney Injury risk indicators earlier and act faster.

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Case Study Overview

How Potrero Medical Enabled Faster AKI Risk Detection

A bedside tablet application replaced manual blood work review with automated trend visualisation, enabling clinicians to identify Acute Kidney Injury risk indicators earlier and act faster.

An abstract image of a medical device and some random medical equipment
Outcomes

Outcomes at a Glance

Business Outcome

Clinicians can identify AKI risk indicators earlier, supporting timely intervention

How It Was Achieved

Automated processing of blood work data replaces manual CSV review at the point of care

Business Outcome

Complex datasets surfaced as visual trends at the bedside, reducing interpretation time

How It Was Achieved

Proprietary medical equations compute AKI-related patterns and generate analytical graphs instantly

Business Outcome

Clinical workflow time freed from manual data processing and formula computation

How It Was Achieved

Automated backend calculations remove the administrative bottleneck from the diagnostic process

Client Bio

About the Client

potrero-logo
Client
Potrero Medical
Industry
Healthcare
Situation

The Situation

Acute Kidney Injury (AKI) is a critical condition where early detection can significantly alter patient outcomes. Clinicians needed a reliable, point-of-care solution to monitor and predict AKI risk using extensive patient blood work data. The volume and complexity of that data made manual review impractical in the fast-paced environment of an ICU. What was needed was a system that could process large datasets and surface meaningful trends quickly enough to inform real-time clinical decisions at the bedside.

Impact

The Impact

Without an automated solution, clinicians relied on manual review of large CSV datasets or cumbersome legacy tools to process blood work values. In a clinical setting, this delay is not an administrative inconvenience; it is a delay in recognising the early warning signs of kidney failure.

The inability to quickly visualise trends introduced a genuine risk of missing time-sensitive indicators critical for early intervention. Every hour of delayed interpretation is an hour in which a patient's condition can deteriorate without clinical response. For a platform serving clinicians at one of the most recognised hospitals in the United States, that was not an acceptable baseline.

They're really smart people and are very ethical.
Praveena Mallarkandy, Director of Software, Potrero Medical
Resolution

The Resolution

An IoT-enabled tablet application was developed and integrated into Potrero Medical's accutab clinical ecosystem. Built on Flutter, Node.js, and Python, the solution was designed for use at the bedside, not at a workstation.

Data ingestion and processing:

  • Clinicians upload large clinical datasets directly at the bedside, with no need to transfer data to a separate system
  • The backend processes blood work values using proprietary medical equations to assess AKI-related patterns, replacing manual formula computation entirely
  • Results are generated in real time, with no batch delays

Visualisation and clinical decision support:

  • The application automatically generates analytical graphs showing variations and trends in blood work values over time
  • Graphs are designed for point-of-care interpretation, surfacing the clinical signal without requiring data expertise
  • The interface integrates into the existing accutab workflow, minimising disruption to established clinical practice

The result: clinicians have a time-efficient tool to interpret blood work changes and make informed decisions without leaving the patient's side.

For Your Org

What This Means for Your Organisation

If your team is building software for clinical or regulated healthcare environments, the same principles apply: fast, accurate data processing at the point of use, visualisation designed for the end user's context, and integration with existing clinical workflows. Getting these right requires both technical depth and an understanding of how clinicians actually work.

Building Clinical or Healthcare Applications?

If you're developing software for clinical or regulated environments, we can help you move from concept to a production-ready application without compromising on accuracy or compliance. Talk to us about your project.

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