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Drug DDx: Symptom Search for Personalized Care

by Ben Li , (MD/MBA Student)

An app to help providers identify the drug(s) most likely causing a specific side effect of the patient by eloquently capturing and cross referencing their medication lists.

Nashville, TN Medications

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About this project

The problem we solve:
Too often, a provider or pharmacist is faced with this difficult situation: a patient suffers a particular symptom that is likely related to one of her medications. The question is, which one? With the continuous advent of new medications (over 1,500 FDA approved) and prevalence of polypharmacy, especially in the growing older population, it is not possible to keep up with all known medication side effects and drug interactions. With existing phone applications and drug databases, providers have to look up each drug individually, and cannot search through a patient medication list by side effect prevalence. Especially for a patient on multiple medications, it is difficult to quickly identify which drug or drugs most likely could be contributing to their symptoms, let alone organize this information. The idea behind this app presents a solution for this problem.

About our solution:
Drug DDx is a mobile application that easily captures a patient’s medication list, cross references drug information, and produces a result of the drug(s) most likely causing a symptom (e.g. headache, nausea, etc.). The application is user friendly, simple and intuitive, and provides many features including: 1. The ability to image capture, upload, or manually enter, edit and save any medication list for future use 2. "Search" for any symptom, uncovering which drugs produce that symptom and with what frequency. 3. Click on any drug from this search result to read more detailed information. Past the initial phase, Drug DDx has vast potential for developing predictive algorithms, collecting drug-drug interaction data, and improving our understanding of medication effects. This application can be further adopted by patients to improve understanding of their prescriptions, or can be integrated to work with EMR systems.
Progress to date: This is a brand new idea. We’ve organized a team of medical and graduate students, a Vanderbilt physician and are ready to get the idea off the ground. With Vanderbilt's strong history of clinical informatics development and successful commercialization, we have a large pool of innovators and early adopters to aid in the advancement of our idea. We plan to produce a pretotype, or minimum viable product, to begin testing with a group of Vanderbilt clinicians before moving forward to fully develop the application with programming support from the University.

About Our Team


Mr. Ben Li , (MD/MBA Student)
Medical Student, Medical Student
Location: Nashville, Tennessee
Medical school: Vanderbilt
Bio: Ben Li studied Chemistry and Physics at Harvard University and is currently a MD/MBA candidate in his third year at Vanderbilt University. He is a graduate of the Vanderbilt Program for Interprofessional Learning and serves on the Vanderbilt Student Technology Committee. His research interests include effective communication with patients, quality metrics, and early integration of palliative care and palliative radiotherapy. He plans to specialize in Radiation Oncology.
Hospital Affiliation: Vanderbilt University Medical Center
Title: Medical Student

About Team Members

Thomas Spain
Instructor of Medicine and Pediatrics, MD, MPH
Biography: Dr. Spain is a systems-minded physician with advanced training in quality improvement and population health. He helps clinical, operations, and technology teams design systems and tools that enable excellent patient care and improve how health professionals do and enjoy their work. His current work improves chronic disease management and helps primary care practices transform their models of care to improve value and professional satisfaction.
Rohini Chakravarthy
Medical Student, BA, MD candidate
Biography: Rohini Chakravarthy is a second year medical student at Vanderbilt. She is President of the Vanderbilt Healthcare Improvement Group and founder of the Vanderbilt Medical Innovation Laboratory. Her research interests center around decreasing healthcare costs. She has been involved in prescribing therapeutic alternatives, The Choosing Wisely Campaign, and interprofessional quality improvement education initiatives. She plans to pursue a career in Internal Medicine.
Doug Pet
Medical Student, BS/BA, MD candidate
Biography: Doug Pet is a second year medical student at Vanderbilt and president of the Microbes & Defense Society. He completed a dual bachelors program between Tufts and NECM studying Anthropology, Community Health, and Jazz Performance. He also worked several years in bioethics research, advocacy, and policy related to genetic and reproductive technologies. His current focus includes clinical impacts of personal genome screening and primary care QI. He plans to pursue training in Internal Medicine.
Jason Singer
Medical Student, BA, MD candidate
Biography: Jason Singer studied Biomedical Engineering at Washington University in St. Louis and is currently a M.D. candidate in his third year at Vanderbilt University. He is the President of the Class of 2017 and a 2014 AMA Foundation Excellence in Medicine Award recipient. His research interests include cost transparency, global health innovation, and quality improvement. He plans to specialize in Emergency Medicine and Critical Care.
Tracey Hong
Medical Student, MD/MEng candidate
Biography: Tracey Hong is a third year medical student. She studied biomedical engineering at Vanderbilt University, and will be pursuing a dual master’s degree in Management Science and Engineering at Stanford University during medical school. She has held positions on both the Council of Class Officers and the Wellness Committee at Vanderbilt. Her research interests include medical device design, healthcare systems optimization, and quality improvement. She plans to pursue a career in Anesthesiology.

About Our Company

Drug DDx
Location: Nashville, Tennessee
Product stage: idea
Sales: Working on it
Employees: 3-5

How We Help Patients

Our innovation helps providers and pharmacists to identify drugs that may be the source of patient symptoms. Instead of deferring an investigation or guessing an approach, the care team can use this app to provide an educated, concrete explanation to the patient, thereby facilitating informed decision making (e.g. changing a drug or dose) in medical management. Early source identification offers the promise to reduce spending on unnecessary diagnostic tests, decrease hospital stay time, and/or prevent medical visits or hospital admissions. Such an improvement decreases the health cost burden for patients while opening availability of resources for other patients.

How We Help Education

In medical education, drugs are taught by their mechanisms. However, in real life, their intended effect is only a piece of their full effect on the human body. Moreover, how a drug behaves in one patient is (as of today) unpredictably different in another patient. On a surface level, our tool helps show students and physicians the adverse effect profiles of drugs as they relate to the patient care setting. More advanced, this application offers tremendous potential for integration with EMR system data in compiling information relevant to drug dosage, symptomatology, interaction, and personalized medicine into clinical practice.

How We Help Physicians

We want to help guide physician decision making when it comes to symptom management. Adding a drug to treat a drug-related symptom is arguably a backwards approach when the culprit drug could otherwise be identified, eliminated or replaced. Our app will empower doctors to confront drug “differential diagnoses” regarding side effects. This is an area of medical management that has inappropriately been neglected in spite of technological growth. This innovation will assist management of polypharmacy, decrease healthcare spending, and begin an era where we can use individual patient medication lists and symptoms to improve our knowledge and practice of modern pharmacy.

Challenge Mission

Mission: Drug DDx was developed with The Vanderbilt Medical Innovation Lab, an organization which connects interdisciplinary trainees and faculty to implement tech solutions to improve healthcare delivery.
Use of funds: INITIAL FUNDING PROPOSAL App Development: $3,000 Marketing: $2,000 We plan to pilot the application within the Vanderbilt provider network and collect information on its use. Because this will primarily be through email and in-app announcements. We can use the majority of this money for improving the application based on initial user feedback. Developing Partnership with LexiComp Drug Database: $10,000 Automated Review and Publishing Drug Interaction Information: $10,000 This critical component of Drug DDx relies an algorithm that is able to parse information intelligently using AI, MLP, and Deep Learning Methods. Total Requested: $25,000
Intellectual Property Status: We have not patented our idea. We hope to make data available to others.
FDA Status: We do not require FDA clearance.
Personal Message: We want to help physicians across all specialties. In today’s busy practice, it makes sense to have a tool that can cross reference drug information on a patient’s medication list in order to provide personalized care. Our idea optimizes this process, and it provides a platform for realistically improving our understanding of drug effects and interactions. Through a simple free app, we believe we can improve patient care, guide physician practice, and prepare for an era of personalized medicine.

Supporters

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    05/23/2016 David Scudder - Medical Student

    Liked the project.

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    05/22/2016 KARTHIK SARMA - Medical Student

    Liked the project.

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    05/20/2016 Wei Kelly Wu - Medical Student

    Liked the project.

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    05/20/2016 Wei Kelly Wu - Medical Student

    Interested in partnership.

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    05/20/2016 Wei Kelly Wu - Medical Student

    Interested in piloting the project.

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    05/20/2016 Samantha Gridley - Medical Student

    Liked the project.

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    05/20/2016 Samantha Gridley - Medical Student

    Interested in partnership.

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    05/20/2016 Wei Kelly Wu - Medical Student

    Interested in trying the project.

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    05/20/2016 Wei Kelly Wu - Medical Student

    Followed the project.

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    05/20/2016 Samantha Gridley - Medical Student

    Interested in mentorship.

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    05/20/2016 Samantha Gridley - Medical Student

    Interested in piloting the project.

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    05/20/2016 Samantha Gridley - Medical Student

    Followed the project.

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    05/20/2016 Samantha Gridley - Medical Student

    Interested in trying the project.

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    05/17/2016 Joseph Isaac Wong - Medical Student

    Interested in other factor.

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    05/17/2016 Jacob Carrigan - Private

    Liked the project.

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    05/17/2016 Shuvro Roy - Medical Student

    Followed the project.

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    05/17/2016 Wesley Sit - Medical Student

    Interested in partnership.

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    05/17/2016 Tracey Hong - Medical Student

    Interested in trying the project.

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    05/17/2016 Joseph Isaac Wong - Medical Student

    Followed the project.

  • image
    05/17/2016 Joseph Isaac Wong - Medical Student

    Interested in trying the project.

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    05/17/2016 Wesley Sit - Medical Student

    Interested in mentorship.

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    05/17/2016 Eszter Szentirmai - Medical Student

    Liked the project.

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    05/17/2016 Wesley Sit - Medical Student

    Interested in piloting the project.

  • image
    05/17/2016 Wesley Sit - Medical Student

    Liked the project.

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    05/17/2016 Wesley Sit - Medical Student

    Interested in other factor.

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    05/17/2016 Tracey Hong - Medical Student

    Followed the project.

  • image
    05/17/2016 Tracey Hong - Medical Student

    Interested in partnership.

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    05/17/2016 Jacob Carrigan - Private

    Followed the project.

  • image
    05/17/2016 Jacob Carrigan - Private

    Interested in trying the project.

  • image
    05/17/2016 Shuvro Roy - Medical Student

    Liked the project.

  • image
    05/17/2016 Joseph Isaac Wong - Medical Student

    Liked the project.

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    05/17/2016 Eszter Szentirmai - Medical Student

    Followed the project.

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    05/17/2016 Wesley Sit - Medical Student

    Followed the project.

  • image
    05/17/2016 Joseph Isaac Wong - Medical Student

    Interested in partnership.

  • image
    05/17/2016 Wesley Sit - Medical Student

    Interested in trying the project.

  • image
    05/17/2016 Joseph Isaac Wong - Medical Student

    Interested in mentorship.

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    05/17/2016 Tracey Hong - Medical Student

    Liked the project.

  • image
    05/17/2016 Joseph Isaac Wong - Medical Student

    Interested in piloting the project.

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    05/16/2016 JASON SINGER - Medical Student

    Followed the project.

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    05/16/2016 JASON SINGER - Medical Student

    Interested in trying the project.

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    05/16/2016 Ashley Wu - Private

    Followed the project.

  • image
    05/16/2016 Ashley Wu - Private

    Interested in mentorship.

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    05/16/2016 JASON SINGER - Medical Student

    Liked the project.

  • image
    05/16/2016 Ashley Wu - Private

    Interested in piloting the project.

  • image
    05/16/2016 Ashley Wu - Private

    Interested in trying the project.

  • image
    05/16/2016 Ashley Wu - Private

    Interested in other factor.

  • image
    05/16/2016 Ashley Wu - Private

    Interested in partnership.

  • image
    05/16/2016 Ashley Wu - Private

    Liked the project.

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    05/15/2016 Douglas Pet - Medical Student

    Liked the project.

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    05/15/2016 Zongyang Mou - Medical Student

    Liked the project.

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    05/15/2016 Douglas Pet - Medical Student

    Followed the project.

  • image
    05/15/2016 Douglas Pet - Medical Student

    Interested in trying the project.

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    05/15/2016 Zongyang Mou - Medical Student

    Followed the project.

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    05/14/2016 Rohini Chakravarthy - Medical Student

    Interested in partnership.

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    05/14/2016 Michael Raddatz - Medical Student

    Liked the project.

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    05/14/2016 Rob Cronin - Physician

    Interested in trying the project.

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    05/14/2016 Rob Cronin - Physician

    Followed the project.

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    05/14/2016 Rohini Chakravarthy - Medical Student

    Interested in other factor.

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    05/14/2016 Rohini Chakravarthy - Medical Student

    Liked the project.

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    05/14/2016 Michael Raddatz - Medical Student

    Interested in trying the project.

  • image
    05/14/2016 Michael Raddatz - Medical Student

    Followed the project.

  • image
    05/14/2016 Rohini Chakravarthy - Medical Student

    Interested in mentorship.

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    05/14/2016 Rob Cronin - Physician

    Liked the project.

  • image
    05/14/2016 Rohini Chakravarthy - Medical Student

    Interested in piloting the project.

  • image
    05/14/2016 Rohini Chakravarthy - Medical Student

    Interested in trying the project.

  • image
    05/14/2016 Rohini Chakravarthy - Medical Student

    Followed the project.

  • image
    05/14/2016 Michael Raddatz - Medical Student

    Interested in other factor.

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    05/10/2016 Shawn Barton - Medical Student

    Liked the project.

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    05/10/2016 Joseph Elsakr - Medical Student

    Followed the project.

  • image
    05/10/2016 Shawn Barton - Medical Student

    Followed the project.

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    05/10/2016 Joseph Elsakr - Medical Student

    Liked the project.

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    05/09/2016 Julian Genkins - Medical Student

    Followed the project.

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    05/09/2016 Julian Genkins - Medical Student

    Interested in piloting the project.

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    05/09/2016 Julian Genkins - Medical Student

    Interested in trying the project.

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    05/09/2016 Julian Genkins - Medical Student

    Liked the project.

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    05/09/2016 Mr. Ben Li - Medical Student

    Followed the project.

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    05/08/2016 Mr. Ben Li - Medical Student

    Liked the project.

21

likes

19

Follows

0

Pilots

0

Partners

95

Interest
Score

13

Adoption
Score


Ben Li , (MD/MBA Student)
Medical Student
Medical Student
Vanderbilt

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