The French Ministry of Health chooses PromTime to incentivize practitioners on high-value care.
The International Consortium for Health Outcomes Measurement (ICHOM) partners with PromTime to co-develop a strategic project.
ICHOM – a renowned organization that produces global standard sets of outcome measures that matter most to patients – has established a partnership with PromTime to co-develop the Machine Readable Standard Set (MRSS). For a pathology such as cataracts, the MRSS digitalizes the ICHOM data dictionary with a unique data format compatible with most electronic medical records. The ICHOM-PromTime Strategic Project accelerates the implementation of the PromTime model for scaling a value-based approach across France, Europe, and possibly beyond.
Today, most health systems do not evaluate the outcomes of treatments they pay for. PromTime’s mission is to tackle this challenge by measuring and benchmarking health gains in real life, i.e., by quantifying the patient quality of life across the entire cycle of care.
PromTime develops unique expertise based on the calibration of real-life data registries, a secured digital architecture, statistical algorithms, targeted incentives, a learning community of practitioners, independent governance on data integrity. Based on the Necker campus in Paris, PromTime is growing globally with strategic partnerships and international scientific collaborations.
« We are delighted that ICHOM and PromTime have started this Strategic Project as it will increase the adoption of our Cataracts standard set across France and hopefully on a global scale. »
« PromTime is a neutral facilitator that decisively accelerate the power of real-world data registries built on outcomes patients define as important »
« PromTime's data integrity audit is an essential step towards creating an independent and reliable ecosystem based on patient outcomes, transparency, and high-value care »
« Improving patient outcomes through a holistic approach that includes digital innovations in disease management, evidence-based algorithm for clinical decision making, and aligning incentives for health care providers is a shared goal across populations ».