Meet our smart medical assistant. An innovative tool for clinics. doctors. patients.
The MIA app utilizes waiting time in the waiting rooms of affiliated family doctor's offices or urgency care centres to let patients fill in an interactive form to describe their health issue.
The intelligent platform that helps physicians provide the highest quality of patient care, and improves medical decision-making, by managing data more efficiently and reaching the right diagnosis more quickly.
The innovative solution that streamlines patient care in clinics by expediting triage and speeding medical history collection, which improves patient flow while still providing the highest quality of patient care and satisfaction.
What is Medvice?
Medvice is simply the most advanced, intelligent suite of e-health services designed to make healthcare more efficient, affordable, and sustainable for all. Our uniquely engineered software gathers standardized, real-world patient data, for the most accurate medical AI on the market. Medvice is designed from the ground up to give doctors, clinics, and patients the health care solutions they need today.
Synergism between doctor and machine, the best of both worlds.
Medvice leverages the best artificial intelligence technologies, with the best human intelligence and care-giving, to help patients, doctors, and clinics make informed healthcare decisions and improve clinical processes and diagnostic outcomes.
The Medvice MIA improves medical information collection, processing, and
management to eliminate redundancy and save time for patients, clinics, and doctors.
Created to support the best medical decision-making with the most accurate medical artificial intelligence, to screen for red-flag symptoms and speed diagnoses.
Medvice was invented by doctors with first-hand experience of the challenges of primary and
urgent patient care today. Our solution makes healthcare more affordable and accessible by
reducing patient loads in clinics and urgent care centers, without compromising a patient’s
peace of mind or quality of care.
Artificial intelligence and machine learning
Medvice uses the most advanced intelligence on the market to constantly evolve its accuracy and improve healthcare outcomes.
Uniquely reliable data
The Medvice machine learning algorithms are refined and improved with user-donated data, creating a unique and accurate dataset based on real-world presentations. This dataset allows the Medvice.Ai to be more effective than any other medical algorithm.
Our groundbreaking user interface makes medical information and symptoms easier than ever to capture and record accurately. The Medvice UI has been designed in partnership with Pharos to be simple for everyone to use, regardless of ability, age, or health condition.
Highest quality standards
Medvice is driven by a mission to improve health care around the world. Medvice optimizes the highest quality triage standards (NTS) and adheres to the strictest medical and security standards.
Sustainable health care for all
Medvice was created with the vision to support sustainable, affordable healthcare for all. It is the only app of its kind designed to meet the needs of patients, physicians, and clinics.
Use the simple, intuitive Medvice app touchscreen to describe your symptoms, medical history, and concerns.
The Medvice UI has been developed in collaboration with Pharos to ensure that it is intuitive and accessible for all, regardless of health or ability.
Save time and money by not going to your GP or emergency room when it isn't necessary.
Know that your medical information and history is protected by cutting edge security at all times.
Enjoy greater peace of mind about your medical concerns and decisions.
Get thorough, accurate information about a patient's symptoms and medical history before they walk into the office.
Automating part of the triage and medical history capturing process streamlines 1:1 patient time. Use the extra time to stay on schedule, or to have more detailed office visits.
Medvice.Ai establishes predictive differential diagnoses.
Medvice.Ai is built on gathering voluntarily donated, anonymized, real patient data, for the fastest and most accurate identification of atypical presentations.
Suggesting Medvice @home consults to patients may reduce unnecessary office visits for non-urgent complaints.
Get thorough, accurate information about a patient's symptoms and medical history in the waiting room, with the simple, intuitive Medvice touchscreen interface or MIA (Medical Interactive Anamnestics).
Medvice.Ai gathers symptoms and alerts staff to urgent conditions, and the extended capabilities of Medvice can even start triage while the patient is still at home.
Improve operational efficiency and reduce waiting times, increasing patient satisfaction.
Medvice can reduce the workload of nurses and triagists by managing redundant data entry tasks, increasing data accuracy and potentially reducing costs.
The Medvice.Ai leverages the power of a self-generated, clean, real medical database to quickly identify atypical presentations and establish differential diagnoses.
Suggesting Medvice @home consults to patients may reduce unnecessary visits to clinics and urgent care centers, by giving them the reassurance they need (coming soon).
Cofounder - C.E.O
Cofounder - COO
Meet the team.
Business Manager CMO
Communication Head PR Manager
Prof. Zaid al Ars
Senior AI lead
Junior AI developer
Back end developer
Front end developer
Web & SEO Manager
Medvice is being developed in collaboration with two world renowned universities, and multiple clinics and hospitals, such as the SMASH outpatient primary healthcare and HagaZiekenhuis (Hospital) in the Hague, in order to seamlessly develop and integrate the Medvice solution in clinics across the Netherlands. We are also collaborating with Pharos, the Dutch Institute of Expertise on Health Disparities, to ensure that our user experience is simple, effective, and accessible for all.
Our Early Adopters
Our early adopters are among the largest and busiest primary healthcare clinics and Emergency Rooms in the Netherlands.
Our partners enable access to an extensive network of health and machine learning experts and visionaries.
"Our chairman of the board and I, see that [Medvice] could be beneficial to the efficiency and quality of our services"
SMASH outpatient primary healthcare clinics, The Hague
"Every day we experience friction with what our patients want and how much capacity we have for giving them good advice of consultation, and every day I personally think: ‘We could improve this workflow with eHealth’. [Medvice] MIA could be a way out of this friction."
Dr. Bart Timmers
General Practitioner and GP-trainer
"AI in the healthcare sector will only add value when this is a solution to a real felt problem in the workplace, such as overworked clinics, long waiting times etc."
Prof. dr. Niels Chavannes
Professor of General Practice and e-Health, Leiden University Medical Centre
Frequently asked questions
The global healthcare sector is overburdened for several reasons. In many countries, the population is aging, and requires more medical care. In many places, there is an overall shortage of physicians. In the Netherlands, the GP is the “gatekeeper” for almost all medical care, expanding the demand for their services. Finally, people often seek acute health care when their GP is unavailable, sometimes in non-urgent cases. Medvice seeks to reduce this burden in two ways:
- By providing patients with the accurate, personalized, always-available medical information they need, calming their concerns and ensuring that acute healthcare is only sought out when it is medically necessary
- By supporting physicians, clinics, and urgent care centers with improved patient flow and efficiency. The Medvice application improves data collection and management, saving staff time, while the Medvice.Ai helps screen for red flag symptoms and reach a differential diagnosis more quickly
Medical reasoning is necessary in order to find the proper diagnosis or act out a medical decision. The basis for medical reasoning is mostly of associative nature, where risk-, lifestyle- and epidemiological factors play an important role. In practice, patients rarely present themselves with the full scale of classical symptoms (“textbook symptoms”), and may present with atypical symptoms. In many cases, medical history or symptom information is simply incomplete. Physicians are then at risk of basing their diagnosis and treatment plans on incomplete or unclear data. Using Machine Learning algorithms trained by real patient data, Medvice.Ai is able to predict a list of possible diagnoses (“differential diagnosis”) based on said incomplete information or an atypical combination of symptoms. In the long run, using Machine Learning technology can function as a proper screening tool to pick up clinical associations missed by the GP.
Current existing triage protocols, like the NTS (Dutch) or MTS (UK) presently give an indication about the level of urgency of a certain physical problem. Unfortunately, these standards only prioritize on the basis of urgency, but do not gather any other necessary medical information which could later be useful for the consulting physician. Medvice not only integrates these validated triage standards, but also digitally and interactively initiates the general part of the medical history taking process. This saves time for the patient, since they can complete the information while they are waiting, and saves time for physicians and clinical staff, since they don’t need to spend crucial time with the patient simply gathering and recording this data.
Machine-learning systems rely on “training data” in order to increase their accuracy. In some sectors, such as the automotive sector, relevant datasets are readily available as they are being generated by automotive companies themselves. However, almost every other sector, and particularly the healthcare sector, relies on either third party, unclean and free text data, or “text-book” dataset (also called synthetic data). Most companies therefore value complete, structured, standardized and clean datasets, yet know these dataset are not easy or cheap to obtain. With Medvice, we pioneer and engineer our medical history taking software (MIA) so that, with consent of the patient, we can securely, pseudonymously, store standardized, structured, labeled, and clean datasets for training of the Medvice.AI and also other analytic purposes. There is no limit in this form of data gathering, and the increase rate of data acquisition during the upscaling stage has the potential to better the world.
As a medical e-consultation app, Medvice offers services parallel to none. We are the only suite of services designed to meet the needs of patients, doctors, and clinics with our simple, intuitive data gathering, and comprehensive set of applications. Our machine learning algorithm improves constantly, enriched by anonymous, voluntary sharing from our patients and validation from our physicians. We use next-generation technology to keep medical data accessible, controlled, and secure. Being founded by conscientious doctors, we adhere to the strictest medical standards. Medvice is uniquely designed to relieve the strain on our healthcare systems by:
As a patient, you will be asked to share data after you have filled out the details of your medical complaint using the Medvice Interactive Anamnesis, or MIA. The data is only shared after informed consent. This data entails purely medical, yet minimal personal information. For example, no names or addresses are included. As it is nearly impossible to ensure 100% real anonymous data, Medvice follows the latest GDPR guidelines and works with pseudonymous data. This means that data can be amended in such a way that no individuals can be identified from those data (whether directly or indirectly) without a "key" that allows the data to be re-identified. A good example of pseudonymous data is coded data sets used in clinical trials, and with Medvice, pseudonymous data is coded medical data sets obtained from the patient using the MIA app. Pseudonymous data are still treated as personal data because they enable the identification of individuals (albeit via a key). However, provided that the "key" that enables re identification of individuals is kept separate and secure, the risks associated with pseudonymous data are likely to be lower, and so the levels of protection required for those data are likely to be lower. Pseudonymisation of data provides advantages. It can allow organisations to satisfy their obligations of "privacy by design" and "privacy by default" and it may be used to justify processing that would otherwise be deemed "incompatible" with the purposes for which the data were originally collected. In addition, the GDPR explicitly encourages organisations to consider pseudonymisation as a security measure.