Peach IntelliHealth

In collaboration with Peach IntelliHealth, this project focused on the critical goal of developing an AI/ML-powered mobile application designed to predict and prevent acute patient deterioration and cardiac arrest within immediate timeframes.

By leveraging the power of data analytics, the initiative aimed to significantly improve patient outcomes and contribute to a more efficient healthcare system by reducing associated costs.

Goal

To contribute to the design of a user-centric mobile application that empowers medical specialists and assistants in a Singaporean hospital with timely AI-driven insights for proactive patient care.

Target Audience

Medical specialists and assistants within a hospital setting who require immediate, data-driven insights to prevent acute patient deterioration.

Role & Responsibilities

• Digital Designer, supporting the design lead and the development team.

• Collaborated in redesigning key UI components and creating detailed mockups to ensure an intuitive and efficient experience for medical professionals.

Design Process

Explore the interactive high-fidelity prototype to experience the intended user flow:
Peach Hi-Fi Prototype.

Impact and Results

The design and UX work on Peach IntelliHealth translated into significant clinical and operational outcomes, demonstrating the direct impact of AI/ML when channeled through an actionable user interface.

• 30% Reduction in Length-of-Stay (LOS): The availability of the application and its predictive insights during the 9-month intervention period resulted in a notable 30% reduction in average patient Length-of-Stay (LOS). When the application was phased out, LOS returned to pre-intervention levels, validating the system's effectiveness.

• Proactive Decision-Making: The mobile interface provided Healthcare Professionals (HCPs) with 24/7 access to predictive scores and risk information. This enabled them to review the patient’s health trajectory and escalate care or allocate resources 24 hours in advance of symptom manifestation.

• Enhanced Care Coordination: By expanding access to critical information beyond nurse stations or the patient bedside, the design promoted greater convenience and coordination of care for sepsis and other conditions.