Nabla opens a health tech stack for patient engagement – TechCrunch

After setting out to examine digital healthcare from the inside by launching its own women's health clinic as an app last year, French startup Nabla is executing the next step in a planned pivot to b2b -- announcing today that it's opened its machine learning tech stack to other digital health businesses and healthcare providers so they can offer what it bills as "personalized medicine". Nabla's AI-powered patient communications and engagement/retention platform is designed to support clinicians to deliver a more continuous, data-driven service, whether the client is offering real-time telehealth consultations or delivering a service to patients via asynchronous, text-based messaging. Nabla's messaging and teleconsultation communication modules sit as a layer atop the customer healthcare service, ingesting and structuring patient data -- with its machine learning software supporting clinicians with real-time prompts and visualizations, as well as offering ongoing patient outreach features to extend service provision. The startup argues its approach can improve medical outcomes by supporting healthcare professionals to be able to ask relevant questions during a consultation, based on the AI's ability to aggregate patient activity and surface contextually relevant data -- and afterwards, with features like automated transcription and by suggesting updates a clinician could make to a patient's medical file. It likens the platform's capabilities to having a really attentive family doctor who knows their patient's full medical history and situation -- and has a fault-less memory for all that detail.