Mediktor. From symptoms to action within 3 minutes.

Mediktor is the most advanced and accurate AI based technology for clinical triage, pre-diagnose and decision-making support

What did you do the last time you felt symptoms? You rushed into the hospital, you scheduled an appointment with an specialist, you googled them, you called your mom,... We are certain that 70% of the time people make wrong decisions that may be unnecessarily expensive, inconvenient and clinically unsafe. The way people access to healthcare nowadays prevents insurance companies and health systems from being efficient and generates high levels of frustration among patients.

By combining multiple technologies and techniques such as AI, Machine
Learning, Natural Language Recognition (NLR), MEDIKTOR replicates
physician’s logic and acumen to assess patient's symptoms and come up with
preliminary conclusions on potential conditions. Once potential
conditions are identified, our clients’ criteria and rules are applied to
connect patients with the most appropriate level care. Under any circumstance MEDIKTOR substitutes physicians/clinicians but gathers and
analyzes information that enables smart patient routing and enhances
patient/physician healthcare experience. 

Mediktor enables insurance companies and health systems be more efficient and thus affordable preventing them from allocating endless resources (call centers,...) to funnel an overflowing demand for healthcare. In addition, Mediktor prevents payors from paying for services that the patient didn't need (ER, specialist,...). As far as we know, 88% of the banal consultations,
which represent most of the consultation cases done through Mediktor,
could be handled with the combination of Mediktor and the interaction
with a physician via chat/video/call. Mediktor also provides a better patient experience and reduces physician burnout.

This is an existing technology and a 3rd/4th generation product. MEDIKTOR is the only symptom checker in the market scientifically validated to be 91.3% accurate. Using Harvard Medical Schools criteria for their benchmark published in 2015, MEDIKTOR’s accuracy is of 97% (independently certified by Munich RE). Our level of accuracy is scientifically validated by a first clinical trial at Hospital Clinic (Barcelona, Spain) in 2017 with a sample of 1,000 patients that visited Clinic’s ED.

Mediktor has developed state-of-the-art technology:

- Machine Learning. Mediktor learns and applies intuition the same way a
physician would do. On top of the core knowledge that was built up from
on-line and off-line medical literature, we designed a layer of machine
learning that keeps enhancing the algorithm with every consultation

- Natural Language Recognition. Mediktor uses its own NLR tool that
allows patients communicate with the algorithm with their own, plain
words. Our NLR tool is able to identify most common typos.

- Omni-channel. Mediktor is available in all interfaces including web, app, chatbot and voice recognition.

• Results of 4 clinical trials underway
• Enhance chatbot version
• Additional conditions added (mainly pediatrics, mental health and derma)
• Additional languages: Hindi, French, Dutch, Arabic.
• Verticals per pathology (chronic mainly) for the pharma industry (in collaboration with IBM) and population health management
• Integrate with professional virtual assistants (IPSoft’s Amelia)
• Others, not to be disclosed.

Our mission is to transform the way people access healthcare world wide to make it more reachable to anyone in a safe, convenient and cost effective way. Our vision is that in 3-5 years any access to health care should be guided and supported by technologies like Mediktor

With that people from any social and economic level will have imminent, on-demand access to the right level of care at any time and any where. Just like we do have access to pretty much any other type of service we need in our life.

We are a B2B solution so our customers stay with us as long as we provide efficiency to their workflow. Our customers have existing connections with the communities they serve a will keep using the same channels to do so.

Mediktor is embedded into our customer's platform (API-centrict) and implementation is 4-6 weeks. Only the front end for Hospital requires a longer period due to integration with HIS and EHR. POCs with limited integration can be launched in 2-4 weeks thanks to our SDK.

Our most mature implementations are in the B2C space and with Global Private Health Insurance Companies (B2B):

B2C: launched in late 2014, our B2C experience accumulates more than 2.5 million consultations from people from 200 countries in the world.

B2B: Munich RE launched Digital Doctor (a joint developed solution including MEDIKTOR as symptom checker) to their almost 1 million members in Spain. This solution is being deployed in other affiliates in health systems in Dubai and Abu dhabi. Also, Mediktor is being used at Hospital King Faisal (Kigali, Rwanda) the call center is attending 5,000 calls/month

The feedback from users is outstanding with an overall 9/10 satisfaction rating and 100% NPS (Net Promoter Score). This is the reason why we expect that more and more people will use MEDIKTOR in the future. On top of that, this behavior will be encouraged by all key players in the healthcare industry (payors, health systems,...) as they seek improving patient experience, improving health outcome, reducing healthcare costs and reducing physician burnout.

We already have more than 2,5 million consultations coming from +200 countries in the world. Our expectations is to reach +50millions in the next 3 years.

The two main resources needed to succeed are clinical acumen and funds. The skills that enable us to attract those resources are deeply rooted in our team, specially in our founders.

Oscar Garcia-esquirol is an active physician with track record working in various clinical areas in hospitals. He leads a team of 3 doctors and 2 nurses that feed and test the algorithm.

Cristian Pascual is an active Angel investor and provides access to capital. Some of his investments have generated relevant exits: Wallapop (30M raised); Leading investor in AudienceMedia; and Lestbonus (40M raised).

We have a 3-tier business model:

• License fee: One-time payment. License fee includes basic integration fees.
• Maintenance: Yearly payment. 20% of the one-time license fee.
• Variable payment: variable payment with a flexible approach (from Per use, to PMPM  PUPM, Revenue share,…) based on the business model and incentives of our clients. Long term, win-win models are set up in place base on business case jointly developed with our partners.

Occasionally, additional cost may apply: translations, SDKs, specific complex integrations,… Those additional services are driven by specific client’s request.

We were invited to apply and thought that it would be a good opportunity to align ourselves with an institution that excels at innovation.

SOLVE can provide us with network capabilities with both commercial partners and with health institutions that would speed up market traction and vet our technology in the USA and other markets, respectively. On top of that, we have not applied for grants in the USA due to its complexity and SOLVE can help us navigate through the system.

Healthcare industry is not a first-mover when it comes to innovate, so adoption cycles are very slow. For instance, before working with a health system or payor our technology must be vetted by a number of people including Chief Medical Officer and CTO.

SOLVE can speed up this process and and help us evangelize the ecosystem to let them know that AI-based symptom checker is a must-have and that augmented intelligence provided by CDSs truly enriches management and physicians decisions.