Data visualisation to enable better cancer care

In collaboration with Fred Hutch Cancer Research Center, I led the design of "Pathways," a data-driven tool aimed at improving the quality and efficiency of cancer care. By working closely with subject matter experts, data scientists, and business stakeholders, we created a solution that empowers providers and payers to make more informed decisions, leading to better patient outcomes and cost management.

Overview

The landscape of cancer care is becoming increasingly complex in the US. Rising patient numbers, escalating treatment costs, and the need for more effective and patient-centred approaches present significant challenges to healthcare organisations. In this project, our goal was to explore how data could be leveraged to address these challenges and drive meaningful improvements across the cancer care journey.

My collaboration with Fred Hutch Cancer Research Center, a global leader in cancer research and treatment, provided me with a unique opportunity to work alongside experts in the field from Fred Hutch Institute in the US. I ran a research to understand the diverse needs and motivations of users within the healthcare system, focusing on both providers (medical directors, physicians) and payers (national account managers, contracting departments).

For providers, the tool was designed to illuminate quality gaps in care delivery, enabling them to compare patient outcomes, track improvement over time, and monitor adherence to best practices. For payers, the focus was on providing insights into cost drivers and supporting value-based care models.

To effectively communicate complex data, I designed a system of consistent symbols and a meaningful colour palette. The colour palette represented key factors affecting cancer care, such as time, cost, off-path deviations, and adverse events, allowing users to quickly identify areas of concern.

A tree structure inspired on the work of Edward Tufte was chosen to represent patient pathways, providing a clear visualisation of how different factors influence the overall care journey.

The tool's screen hierarchy was carefully designed to facilitate information discovery, enabling users to navigate from a high-level overview to granular details as needed. This allowed both providers and payers to gain a comprehensive understanding of the data, contextualise it within their specific roles, and make informed decisions to improve cancer care value.

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Meaningful colours

A carefully designed colour palette represents key factors affecting cancer care, enabling quick identification of trends and anomalies.

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Representative path

Patient pathways are visualised using a tree structure, illustrating the flow of care and associated metrics.

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Consistent Symbols

A system of consistent symbols represents quantities and issues along the patient pathway.

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From big picture to detail

The screen hierarchy allows users to navigate from a high-level overview to detailed information, supporting different levels of analysis.

The highlights

The Pathways tool is designed for the key players in cancer care in the US: providers (doctors), payers (insurance), and researchers, enabling them to improve care quality and manage costs.

Understanding the pain points in improving cancer care value

A crucial aspect of this project was to deeply understand the needs and motivations of users within the healthcare system, both providers and payers. This involved close collaboration with the clinical team at Fred Hutch to:

  • Conduct interviews with directors, physicians, national account managers, and contracting departments to understand their roles, responsibilities, challenges, and goals.
  • Observe workflows and decision-making processes to identify opportunities for the tool to integrate seamlessly into their daily routines.
  • Analyse data requirements, working with data scientists to determine the relevant data points and metrics that would provide the most valuable insights for each user group.
  • Identify pain points to understand the specific challenges faced by providers in delivering high-quality care and by payers in managing costs.

This research enabled us to design a tool that directly addressed the needs of both providers and payers, empowering them to improve cancer care value from their respective perspectives.

Enabling better decisions that drive driving action

The ultimate goal of the Pathways tool was to empower users to take action and improve cancer care.

  • Providing user-defined filters: We enabled users to filter the data based on their specific needs and interests, allowing them to focus on relevant patient populations or treatment protocols.
  • Presenting a quick snapshot of key metrics: We build a dashboard-like overview that provided a quick summary of the main pathway data, allowing users to quickly grasp the overall picture.
  • Visualizing pathway anomalies: We used visual cues to highlight deviations from expected patterns or outliers in the data, enabling users to identify potential issues.
  • Facilitating contextual comparison: We allowed users to compare data across different patient groups, providers, or time periods, enabling them to identify best practices and areas for improvement.
  • Supporting informed decision-making: We designed the tool to provide the information and context users needed to answer their specific questions, take appropriate actions, and improve the quality and efficiency of cancer care.