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AQ Safety is a Albuquerque, NM-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
We empower the most underserved stakeholder in the healthcare system – the family caregiver. While training programs exist for home health aides or nurses to help manage care of the elderly, family members, who provide 80%+ of care to loved ones aging-in-place, have limited access to training. For example, actionable education like how to prevent falls in the house, safely transfer from a bed or chair, or manage difficult behaviour when a loved one has dementia. Recognizing that this content exists but isn`t available to families, Trualta adapted professional-level healthcare training for the family member audience. We deliver the training via an informal and interactive online learning environment, and tailor the learning to each caregiver`s situation. The program incentivizes engagement with a rewards system, and users can redeem rewards for helpful products and services. Our customers, healthcare payers and providers in Canada & the US, offer Trualta at point-of-care to better enable families to transition aging loved ones from hospital to home, and sustain independent living. Through clinical validation studies in the US and Canada, we are linking participation in Trualta`s program to improved outcomes and reduced costs. We are a proud resident company of the Biomedical Zone in downtown Toronto and the Invest Ottawa Accelerator program. If you are passionate about educating and enabling families to improve care for our aging population, drop us a note at info@trualta.com – we`d love to hear from you.
Health New England Inc is a Springfield, MA-based company in the Healthcare, Pharmaceuticals, & Biotech sector.
Carta empowers hospitals to personalize the delivery of care to the individual needs of each patient. Our insight here is that personalizing care is not only good from an outcome/clinical perspective (where most people focus in the context of personalization) but is also the best way to optimize operations. Currently, hospitals have to over provision their resources because they are set up to serve the generic patient; planning ahead for exactly the resources needed– no more, no less– is the best way to gain efficiency. The approach we`re advocating and enabling is to: 1) Find past patients similar to the current one being treated 2) Quantify what exactly happened to them during their journey through the hospital (this is where our model comes in) 3) Use machine learning to project what the particular patient in question will need, and what the patient can expect their experience to be in the hospital We`re applying this approach now to two use cases– supplies projection and bed usage projection– and we have a bunch of other use cases we`re planning on addressing in the future.
E.I. Medical is a Loveland, CO-based company in the Healthcare, Pharmaceuticals, and Biotech sector.