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You need to visualize patient data for advocacy. What are the best tools to use?

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As a patient advocate, you need to communicate complex and sensitive information to various audiences, such as patients, caregivers, health professionals, policymakers, and the public. One of the most effective ways to do that is to use data visualization, which is the process of transforming data into graphical or interactive formats that can reveal patterns, trends, and insights. Data visualization can help you tell compelling stories, persuade decision-makers, and educate your community. But what are the best tools to use for data visualization? In this article, we will explore some of the options and criteria that you should consider when choosing a data visualization tool for your patient advocacy work.

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Arnab Paul

Founder & CEO - Patient Planet I Independent Director I AI - Focus Group at WHO

1 Why data visualization matters

Data visualization is not only about making your data visually appealing, but also about making it meaningful and actionable. As a patient advocate, data visualization can be used to raise awareness and empathy for the issues and challenges that patients face, as well as to highlight disparities in health care access, quality, and outcomes. It can also be used to compare and contrast different options and scenarios for treatment, prevention, and policy. Furthermore, data visualization can demonstrate the impact and value of your interventions and recommendations while engaging and empowering your audience to participate and take action.

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Jason Newman, MHA, LNHA, CPHQ

Nursing Home Administrator, Healthcare Quality Professional, Health Sciences Educator.
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Data visualization for patient advocates is necessary. By visualizing population-wide patient data, one can determine where gaps in patient care exist based on health inequalities. Patient advocates can plan for performance improvement for underserved populations using visualization tools.

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Arnab Paul

Founder & CEO - Patient Planet I Independent Director I AI - Focus Group at WHO
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In the realm of patient advocacy, data visualization stands as a potent ally, transforming raw numbers into compelling stories that drive change. By choosing the right tools and crafting a narrative that resonates, advocates can elevate their efforts, influencing policies, and inspiring positive transformations in healthcare. As the healthcare landscape continues to evolve, the integration of data visualization into advocacy strategies will undoubtedly play a pivotal role in shaping a patient-centric future.

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2 What to look for in a data visualization tool

When selecting a data visualization tool, there are various factors to consider. You need to think about the type and source of your data, including the amount, format, and frequency of updates. Additionally, you should consider the purpose and audience of your visualization, such as the message you want to convey and the level of detail and interactivity required. Furthermore, features and functionality are important, such as the types of charts, maps, dashboards, or other visuals that can be created. You also need to consider the cost and availability of the tool, including the technical requirements and limitations. All these elements will help you choose the right data visualization tool for your needs.

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3 How to evaluate data visualization tools

To help you find the best data visualization tool for your needs, you can use a simple evaluation framework consisting of three steps. First, define your data visualization objectives and identify the key metrics or indicators you want to measure or monitor. Second, establish the essential features or functions your data visualization tool should have, as well as any nice-to-have or optional features. Lastly, compare and test the potential data visualization tools based on your criteria and assess their performance in terms of ease of use, quality of output, and compatibility with your data and audience.

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4 Some examples of data visualization tools

For some ideas and inspiration, here are examples of data visualization tools that you can use or explore for your patient advocacy work. Tableau is a popular and powerful tool that enables you to create interactive dashboards and reports with various types of charts, maps, and filters. You can also try Power BI from Microsoft, which allows you to create and publish interactive data visualizations with a drag-and-drop interface. Google Data Studio is free and easy-to-use, integrating with Google products to create dynamic reports and dashboards. Lastly, Flourish is a web-based data visualization tool that lets you create stunning and interactive visualizations with templates or custom code. All of these tools offer different versions, including free public versions, paid services, and nonprofit discounts.

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5 How to improve your data visualization skills

Data visualization is not only about choosing the right tool, but also applying the right principles and practices. To improve your data visualization skills, you can learn from experts such as The Data Visualization Catalogue, Storytelling with Data, and the Data Visualization Society. Additionally, you can seek feedback and inspiration from platforms like Makeover Monday, DataViz Feedback, and the Data Visualization Awards. Lastly, you can experiment and have fun with tools like Datawrapper, D3.js, and Kaggle to create interactive data visualizations.

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Arnab Paul

Founder & CEO - Patient Planet I Independent Director I AI - Focus Group at WHO
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Data visualization is both a science and an art, requiring a blend of technical proficiency and creative intuition. By committing to continuous learning, mastering data interpretation, diversifying your toolkit, understanding design principles, seeking feedback, participating in the community, practicing regularly, and staying inspired, you can elevate your data visualization skills to new heights. As the demand for data-driven insights continues to rise, cultivating these skills positions you as a thought leader in the dynamic and influential realm of data visualization.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Arnab Paul

Founder & CEO - Patient Planet I Independent Director I AI - Focus Group at WHO
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The choice of a data visualization tool is just one aspect of effective patient advocacy. Equally important is the ability to weave a compelling narrative around the data. Advocates must consider the audience they are addressing, employing visualizations that resonate with policymakers, healthcare professionals, and the general public alike. A successful narrative should: Highlight Key Insights: Clearly articulate the most critical findings within the patient data to underscore the significance of the advocacy cause. Supplement quantitative data with qualitative narratives, sharing the personal stories of patients to humanize the data and evoke empathy.

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You need to visualize patient data for advocacy. What are the best tools to use?

1

2

3

4

5

6

1 Why data visualization matters

2 What to look for in a data visualization tool

3 How to evaluate data visualization tools

4 Some examples of data visualization tools

5 How to improve your data visualization skills

6 Here’s what else to consider

Patient Advocacy

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You need to visualize patient data for advocacy. What are the best tools to use?

1

2

3

4

5

6

1 Why data visualization matters

2 What to look for in a data visualization tool

3 How to evaluate data visualization tools

4 Some examples of data visualization tools

5 How to improve your data visualization skills

6 Here’s what else to consider

Patient Advocacy

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