by JG Staal
The problem we solve: Only 15% of medical research provides useful information. For physician, patients/caregiver it is not clear which medical research is trustworthy and meaningful. Patients and Providers cannot be sure they have access to the best treatments and there is a substantial risk of both suboptimal and over-treatment.
About our solution: A SaaS solution that helps providers find relevant clinical research and identifies the clinical significance of it using proprietary classification systems/models. Our solution analyses clinical research based on 50+ data markers and determine the clinical significance (rather than the statistical significance) of it. When somebody searches for clinical research using other search tools, they will ‘just’ get results based on matching keywords. Whereas Zignifica ‘adds’ data/information to each research paper in terms of clinical significance. We also add ICD-10 codes to each paper we analyze in order to allow for integration with EMRs (and improve general searchability). We leverage AI (NLP / IBM Watson) to capture the data that is used for these algorithms. Our algorithms are based on what is taught in Med School, with the difference that we fully process these automatically leveraging AI technology and do an evaluation based on an easy to understand classification system.Progress to date:
•Development of Algorithms & Classification system for Diabetes, Cardiovascular, Oncology, COPD, Osteoporosis and Chronic Pain.
•Prototype in app stores with positive feedback on concept as well as willingness to pay.
•Started development of MVP.
Creator: JG Staal
Bio: I am passionate about technology driven change. The type of change that challenges the status quo and that leads to drastic improvements. I am intrigued by what makes change ‘stick’ and makes it successful, whether it is the People, the Process or the Technology. I am excited that I help to improve the health of people worldwide as a health transformer. Over 25 years of experience in: - Starting and scaling successful companies (Tahzoo). - Managing and building international teams at Fortune 500 companies as well as Small & Medium Businesses in healthcare, finance and telecom. - Building solutions leveraging Artificial Intelligence, Machine Learning & Predictive Analytics
Title: Founder & COO
Advanced Degree(s): BS, Executive Master
Co-Founder & CEO, MD
Biography: Over 25 years of experience in: - Practicing medicine (Primary Care practice). - Peer-reviewing Medical Research. - Participating as TedMed Research Scholar. - Starting and scaling successful companies (DoloTest).
Title: Co-Founder & CEO
Advanced Degree(s): MD
For caregivers and patients it is typically impossible and in addition very frustrating to identify clinically meaningful clinical trials. Zignifica helps patients and caregivers to find relevant clinical research and provides a classification system (from A through F) to easily understand the clinical significance of that research.
Zignifica helps providers find relevant clinical research (leveraging AI and Machine Learning) and easily understand the clinical significance through a proprietary and industry-first classification system, so they can spend less time on doing research and more time seeing patients while delivering better care at the same time.
We want to partner with Health systems in the USA and in Europe to trial our MVP in a primary care setting. Initially this will be through physicians logging into the solution, but can be followed by API based solution that will integrate with EMR to identify relevant and trustworthy clinical research for patient/treatment.
Key Milestones Achieved and Planned
January 2016: Idea initiation and start of building algorithms for determining clinical significance
June 2016: Validated & Confirmed concepts during Evidence Based Medicine conference in Oxford, UK
December 2016: Finalized algorithms for Chronic Pain, Diabetics and Cardiology
December 2016: Filed provisional patent
January 2017: Founded Zignifica
February 2017: Finalized algorithms for Oncology
March 2017: Prototype in the App Store and in Google Play
April 2017: Winner hackathon at IBM Watson/Galvanize Cognitive Builder Faire
August 2017: Awarded by StartUp Health to join their group of moonshot companies.
Our Competitive Advantages
Unlike other clinical research tools, Zignifica allows, as an Industry-first, the ability for the physician to identify trustworthiness of research as well as the relevance of research to a specific patient/treatment.
Barriers to Entry
It will take significant time for others to:
Traction, Funding and Partners
We have self funded the company thus far.
Zignifica is part of StartUp Health’s Global Army of Health Transformers.
Zignifica is part of the IBM Global Enterpreneur Program.
Total addressable market is $1.1 billion based on markets in USA, Canada, Europe and Australia.
Projected 3 Year Growth
We sell our solution to physicians in Canada, USA, Europe and Australia. Our initial focus will be on primary care.
Our recurring revenue comes from a monthly subscription fee per physician.
Unlike other clinical research tools, Zignifica allows, as an Industry-first, the ability for the physician to identify trustworthiness of research and relevance of research to a specific patient/treatment. We focus on clinical significance, rather than statistical significance.
We have received initial positive feedback on our prototype (available in AppStore and Google Play) on both the concept as well as the willingness to pay.
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