ContextMedia Partner Project — Clinic-Specific Web Sites
I worked with ContextMedia in a team of five people from the Startup Institute to prototype a web application for patients and doctors. This was the final presentation we gave to ContextMedia.
What challenges do you face in recommending non-prescription products and resources to your patients? Obtaining these resources from your doctor? PROBLEM INTERVIEWS More targeted, less open-ended
your challenges in self-managing as a patient? What are your challenges in obtaining information about your chronic condition, both from your doctor and from other resources? ! PROBLEM INTERVIEWS Integrating hypothetical solutions
Directing to resources Patients ! 1. Personalized attention 2. Distinguishing resources 3. Disorganized communication PROBLEM INTERVIEWS Communication Time Trust
video content 3) Direct patients to common, non-prescription healthcare produc 4) Screening tools from leading health associations 5) Explore tools to assist with appointment scheduling Communication & Trust Communication Time Communication & Time Time
feature" ! PHYSICIANS —> want to facilitate self-management ! PATIENTS —> early diagnosis: need emotional support continued treatment: would like quick access ! “Testimonials” section –>" differentiates practical, medical education from establishing connections to others like them
—> want to eliminate wasted time & inefficient communication & focus on larger problems ! PATIENTS —> want to be treated in a manner that’s appropriate to them ! Revelation: Framing marketing/sales strategy
Practice Best Individual Content Popular ≠ Quality Best Playlist Flow: Smoothing e.g., Repetition in Message Total Impact Machines are not good at emotionally subtlety Biggest Challenges and a Game Plan
with Human Selection 30% ! Recipes & Nutrition 20% Personal Story 30% ! Exercise 20% Health ! Information Illustration: Endocrinologist Master Playlist of 60 minutes 647 513 368 231 Total # of Videos Technology Assisted Selection
% Diabetes 80.00% % Type 1 20.00% % Type 2 80.00% % Male 30.00% % Female 70.00% % 17 and under 0.00% % 18-34 0.00% % 35-54 10.00% % 55-64 80.00% % 65 plus 10.00% % African American 40.00% % Asian American 0.00% % Caucasian 20.00% % Hispanic 40.00% Examining the Data
Gender: 70% Female ! Ethnicity: 80% African-American & Hispanic Zipcode: Southern & Coastal Region Rule Based Customization: Condition: 20% Type I Data Insights Layered Over Master Playlist CREATING PLAYLIST
Produce Sample Static Playlist from Extensis Library Future Items to Consider: Strategies to Streamline Production of Master Playlist Customized Ad Delivery in Playlist Rules to Limit Content in Master Playlist