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Zignifica: Precision-Evidence at the point of care

by JG Staal

We help providers find relevant clinical research and easily understand the clinical significance of it. So they can spend less time doing research and more time seeing patients, while improving care.
Beaverdam, VA United States For the Doctors Office AI in Medicine HIT Equity Raise MedStartr Ventures challenge

All Team Company Patients Physicians Partners Mission Innovation Details Investor Info Due Diligence Docs Supporters Comments Updates

About our project

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.

•Provisional Patent.

•Prototype in app stores with positive feedback on concept as well as willingness to pay.

•Started development of MVP.

About Our Team

Creator: JG Staal

Location: Virginia

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

About Team Members

Kim Kristiansen
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
Twitter: @DoloTest

About Our Company


Location: 20065 Beaver Dam Road
Beaverdam, VA 23015

Founded: 2017



Twitter: @zignifica


Product Stage: Prototype/MVP

YTD Sales: Working on it

Employees: 1-2

How We Help Patients

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.


How We Help Physicians

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.

How We Help Partners

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.

Challenge Mission

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:

  • build out and test the algorithms which are required for each research area (and protected by a provisional patent)
  • build out the AI related technology to capture the data from unstructured documents and discover the relevancy for a specific patient/treatment

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.

Innovation Details

Intellectual Property Summary

We have a provisional patent for the system to Evaluate and Report Clinical Usefulness of Findings in Clinical Research.

Clinical Information

Not Applicable

Regulatory Status

Not Applicable

How we will use the funds raised

Expand our alghorithms with additional research areas, to build our MVP as well as our Full Commercial Version and onboard 9,000 physicians by end of 2018.

We have just started our seed funding campaign for $850,000 which will provide a 12 month runway. This funding will be split as follow: Product Development: 61%, Marketing & Sales: 19%, Infrastructure/Support: 15% and Operations: 5%.

Thank You

Help us in our quest to make trustworthy clinical research available at the point-of-care for providers, patients and caregivers.

Thank you!

Kim Kristiansen, MD - Co-Founder & CEO

JG Staal, Co-Founder & COO

Investor Info

Market Size

Total addressable market is $1.1 billion based on markets in USA, Canada, Europe and Australia.

Projected 3 Year Growth

2018: $2.0M

2019: $7.5M

2020: $19.2M

Revenue Model

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.

Due Diligence Docs

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