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Crowd Sourced Diagnostic Database (CSDD)

by Stephanie Socias, BS (Medical Student)

The CSDD uses word associations to predict the likelihood of a condition/disease. With data gathered from patients, physicians, and med students, the CSDD learns from the past to predict the future.

Tampa, FL Health Information Technology

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About this project

The problem we solve:
For practicing physicians and medical students alike, coming up with an accurate, timely diagnosis can be very difficult. There is much to take into account- medical history, labs, scans, physical exam, etc. Even with all the information before us, it is easy to miss an important detail or seemingly unrelated symptom. We view each patient as a separate entity. Rightly so, of course, as each person is unique. But, what if we did more to learn from past patients and use their data/input to treat the current person?
About our solution:
The CSDD aims to integrate data from physicians, medical students, and patients to form the ultimate crowd sourced database of diagnostic criteria. Physicians, med students, and patients input data to be used as part of the CSDD (in addition to data coming directly from existing databases). The CSDD then uses word associations and likelihood analysis to determine the most probable diagnosis given a constellation of symptoms and/or empirical data. The CSDD also incorporates past cases and historical data. The CSDD's web interface would be open to everyone. Users would input as little or as much information as they choose and the CSDD would present them with a set of possible conditions ordered by probability. Search criteria would fall into categories like "physical exam findings", "lab values", "pain descriptors", "respiratory symptoms", etc.
Progress to date: The CSDD is still in its formative stages. We are conceptualizing the idea while working on database structure and algorithms.

About Our Team

Stephanie Socias, BS (Medical Student)
Medical Student, Medical Student
Medical school: University of Florida
Bio: Software engineer, entrepreneur, and med student who wants to use technology to improve healthcare for all.
Title: Student
LinkedIn: stephsocias

About Our Company

Location: Tampa, Florida
Product stage: idea
Sales: Working on it
Employees: 1-2

How We Help Patients

The CSDD empowers patients to learn more about themselves and contribute to the advancement of medicine. Anyone can use the CSDD's web interface to search symptoms, conditions, etc., but patients are a crucial part of building the CSDD itself. The CSDD is only as good as the data within it. This data would largely come from patients who either directly input their own, personal medical data or give permission for a hospital/physician to provide their data. Every patient can help crowd source the database. Every patient can make the CSDD better for the next person. The more data, the better!

How We Help Education

As a first year med student, it's difficult to match symptoms, lab results, or imaging findings to their specific disease(s). Of course, most symptoms/findings are not pathognomonic for any one disease, but, it sure would be great to have an idea of which diseases go with what! The CSDD would provide just that. You could supply lab values, physical exam findings, or even just symptom descriptions and the CSDD would produce a list of possible causes. Med students are also a crucial part of crowd sourcing the database. I know many students who have excel spreadsheets of diseases/conditions organized by symptoms. Well, what if we put those spreadsheets (and other notes like it), into one big database! The CSDD is just the place. By building up the database (and studying at the same time), med students can learn and contribute to medical progress.

How We Help Physicians

A delayed or inaccurate diagnosis can be catastrophic...I could go on about why an accurate, timely diagnosis is so important, but I think we all get it! The CSDD is the missing piece of digital medicine that can put all our data collection to good use. In the clinics, hospitals, and community, the CSDD is a valuable tool to help physicians find the right diagnosis, confirm a diagnosis, or even prompt a new train of thought on the way to a diagnosis. While physicians can use the CSDD in their daily practice, they also help create it. It is truly a crowd sourced project that begins in the clinics and on the wards. Physicians are the gate keepers of this knowledge. With the CSDD, they can let it all out!

Challenge Mission

Mission: The CSDD crowd sources medical data from physicians, patients, and students to provide a diagnostic tool for the very people who created it.
Use of funds: This is a big project that relies on input/participation from many facets of healthcare. The first part of the project, however, requires solid software engineering and mathematical analysis. We would first use the grant to: (1) Recruit another software developer to help form the underlying architecture of the database; (2) Fund a mathematician who can create the algorithms for data mining and prediction, and; (3) Pay for miscellaneous data server and hosting costs for the platform. With a solid base in place, we would then move to the crux of the project: crowd sourcing the data. The CSDD will only be as good as its data. To that end, part of the grant will be used to recruit medical schools and/or healthcare institutions to become part of the data preparation stages. We would need students to input their data into the system. Hospitals to work with patients to get approval to use their data. And patients themselves to directly add their own data.
Intellectual Property Status: We are not at this stage yet- algorithms/design are still in progress.
FDA Status: NA
Personal Message: Many minds are better than one. In medicine, especially, is this true. The CSDD aims to harness the wisdom of the crowds phenomena for medicine- for patients, physicians, and students. The CSDD depends on crowd sourcing to build its data, but, before we can get there, we need your help. We need to crowd source input and "votes" from you. This is a community project that starts now with your help and will ultimately end with all of you using the CSDD in the future!


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    05/21/2016 KARTHIK SARMA - Medical Student

    Liked the project.

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    04/27/2016 Stephanie Socias - Private

    Liked the project.

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    04/27/2016 Stephanie Socias - Private

    Followed the project.













Stephanie Socias, BS (Medical Student)
University of Florida

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