Healthplus.ai is on a mission to enable proactive surgical care through personalised complication predictions and management for over 50 million patients annually by 2027 and be the surgical patient risk management platform of the future.
We use existing data, validated & locally recalibrated machine learning algorithms. We integrate with the existing workflow to aid clinical staff to deliver proactive and individualised care to support your clinical work, your hospital and your patients. Together with you, we deliver a better experience for health care provider and patient, and better surgical outcomes at lower cost. To fully support your work, hospital and patient.
Siri van der Meijden
Data Scientist
MSc in Technical Medicine from TU Delft. Performing a joint PhD on validation of our tool with University of Leiden.
Kathryn Lake
Data Scientist
BSc in Chemica! Engineering and 4+ years’ hands-on experience in applying advanced anaJytics, computer vision and machine learning.
Bart Steverink
CTO | Co-founder
Application, SaaS, Cloud Application, Custom Software Development and IT Consulting specialist.
Maryse Wiewel
Product owner
MD, PhD with a background in clinical microbiology, infectious diseases and population health management and the ambition to make healthcare pro-active and person-focused.
Pedro Juan Segura
Data Scientist
Experienced data scientist with a background in bioinformatics and biostatistics.
Frank Kleijer
CFO
Ambitious CFO with senior leadership experience in several companies, and a training in management accounting and control.
Marisa Polo
QARA Officer
LLM in EU Law (IP) and with experience in quality systems and regulatory compliance for the medical device industry.
Bart Geerts
CEO | Co-founder
Specialist physician and entrepreneur that supports patients and health care providers with machine learning and other digital tools to improve health and health care.
Laurens Schinkelshoek
Data Scientist
Data scientist with a passion to bring the promise of AI to the reality of the clinic.
Nuno Lima
QARA manager
MSc in Biophysics and Nanosystems, with experience in quality systems and regulatory compliance for the medical device industry.
Luuk Mes
Data engineer
Data Engineer with a passion to utilise his skills to improve society by ensuring exceptional data quality, integrity, and automation of data pipelines.
“ We help hospitals to focus on what really matters and ensure safer recovery of patients ”
Henk van Houten
Chairman of the board, Netherlands Academy of Engineering
Former Global CTO Royal Philips N.V.
Dr. Fenna Heyning
Health innovator &
Former director Foundation for Cooperation of Top-Clinical hospitals (STZ)
Dr. Emma Bruns
Resident Surgery & Journalist at NRC
Prof Geert Kazemier
Head of HPB Surgery Amsterdam UMC
Healthplus.ai has been awarded the CES 2024 innovation award in the ‘digital health’ category with their Software as a Medical Device PERISCOPE. CES is the world’s premier technology event and the CES Innovation Awards spotlight design and engineering excellence.
Healthplus.ai has been nominated for the computable awards 2023 in the category tech-startups. A total of 41 candidates have been reviewed by a panel of 20 experts based on the product, market, team and business. Only 10 candidates are nominated and will move on to the next round.
Healthplus.ai is mentioned as one of the 10 most forward thinking deep tech companies in Europe. The company is recognized for their innovative digital solution in healthcare.
Healthplus.ai was awarded the AIZ 2023 Award by the Nederlandse AI Coalitie|NL AIC, Insurance association, patient groups and the Dutch Ministry of Health.
It is a recognition of the work by the Healthplus.ai team and its partners (Leiden University Medical Center, Radboudumc, Ziekenhuis Oost-Limburg (ZOL), Rigshospitalet and others).
On 14th February 2023, Healthplus.ai received the award for Health Innovation 2023 of the province Noord-Holland from Smart Health Amsterdam, Amsterdam Economic Board, AHTI, Sigra, Zorg2025 and Health Holland from an expert jury.
Predictors of 30-Day Mortality Among Dutch Patients Undergoing Colorectal Cancer Surgery, 2011-2016 (JAMA)
Van den Bosch et al
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI (NATURE & BMJ)
Vasey et al
Possibilities and challenges for artificial intelligence and machine learning in perioperative care (BJA)
van der Meijden et al.
