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Create new means for patients to share symptoms and updates with doctors
Challenge Type: math & sciences
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$1,000
top 10
310
submissions
DONE
104 months ago

Patients managing chronic conditions often suffer from more than one diagnosis, and live with the constant reminder that they are “sick”. They want to be engaged in their care and feel “normal”. Patients also may need to manage multiple medications, which may have different guidance for administration and storage e.g. take on an empty stomach; take with a light meal; take 2x/day; take every 12 hours; store in the refrigerator, etc. They want to simplify their life.

On the other hand, physicians are interested in additional data that shows successful disease management and patient adherence and compliance over time. Currently, this data is nearly impossible to extract reliably from clunky, electronic medical records or short office visits.

Deliverables

We’d like to leverage the wealth of patient data (e.g. biometric, mood, adherence to medications; symptom tracking, etc.) to:

A) support patients in proactively managing their disease(s)

B) provide the physician with valuable inputs and trends over time.

Imagine yourself diagnosed with a chronic disease such as high cholesterol, rheumatoid arthritis, asthma, hypertension or others. A new technology has been developed to help you manage the disease and share information with your doctor.

Submit the following:

1. What is this technology? Where does it live? How does a patient interact with it?

2. What information does it track and how does it collect this data? (active inputs vs. passive data collection)

3. As a patient, what would you want to learn from this technology?

4. How would you share this data with your physician? With your network?

5. In what scenarios would you use it?

Assume this technology has access to a wealth of data (your health history, biometric data, symptoms, and medication usage trends). Feel free to leverage any platforms or systems (hardware, software, packaging, mobile, wearables, drones, 3d printing, facial recognition, etc).

    Submissions will be graded on the following criteria:
  • Meets Deliverables
  • Creativity
  • Clarity
Reward Tiers
5 Winners
will receive $150 each
5 Honorable Mentions
will receive $50 each
Leaderboard
$150.00 Jenn Ott University of Missouri - Columbia
$150.00 Devin Gustus Pasco-Hernando State College
$150.00 David Fraley Indiana University
$150.00 Mina Kodsi Rensselaer Polytechnic Institute
$150.00 Meera R Stanford University
$50.00 Lisa Hoover Oakland Community College
$50.00 Jennifer Pi University of California at San Diego
$50.00 Jayroop Ramesh aus
$50.00 Mihir Mathur University of California, Los Angeles
$50.00 Suyash Dhoot Indian Institute of Technology, Bombay
Submission questions


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