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Kate Brigham – PatientsLikeMe: Adventures with Data Visualizations

May 24, 2011 By Jonathan Jeter Leave a Comment

UIE Web App Master’s Tour – Seattle, Washington – May 24, 2011

Kate Brigham - PatientsLikeMe - Adventures with Data Visualizations
Kate Brigham - Adventures with Data Visualizations

8 in 10 internet users have looked online for health information

patientslikeme helps patients track chronic conditions and learn from the experience from other people who are experiencing the same symptoms, medications and conditions

People share stories as part of a typical conversation. PatientsLikeMe tracks all data about members by translating stories into data.

Given my status, what is the best outcome I can hope to achieve and how do I get there? – establish a baseline for member engagement

Make it easy for people to create data

If you’re asking people to invest time and energy to give you the data, let them know how it will benefit them.

Don’t be afraid to experiment.

Make forms easy

Start with questions that are easy to answer and don’t use jargon…

Read the rest of Kate Brigham – PatientsLikeMe: Adventures with Data Visualizations

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Filed Under: User Interface / User Experience Design Tagged With: accurate term, Amyotrophic lateral sclerosis, Ask an Expert, Benjamin Heywood, best outcome, Chronic (medicine), chronic conditions, Clinical trial, data accuracy, data users, Data Visualizations, digestible pieces, Divide data, health information, help users, internet users, Kate Brigham, large amounts, member engagement, PatientsLikeMe, Paul Wicks, questions visitors, simpler components, single question, Technology Internet, Technology Review, text labels, typical conversation, UI, UIE, UIE Web App, user answer, UX, visual cues, web app, Web App Master, Web App Master's Tour

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