Digital Health is offering much-needed solutions to the pressing health problems brought on as a result of our modern lifestyle. By applying data-analytics to data collected by wearables and sensors, among other channels, digital health platforms can have a huge impact on health conditions that are affected by behavior. By providing recommendations and insights, consumers are learning how to change their behavior and improve their physical and mental health.
Valera Health offers a behavioral health application that provides analytics, high-quality telepsychiatry, and responsive case management. Valera Health analyzes insurance claims in order to help payers and providers identify patients with comorbid medical and behavioral health conditions. Primary care providers are then supported by trained remote case managers for behavioral activation and coordination supervised by psychiatrists. The app also applies Valera’s tracking algorithms for identifying passive data (e.g. distance traveled, amount of texting, etc.) and active data about patient sentiment and use.See full profile >>
Sweetch is a clinically validated platform that utilizes Artificial Intelligence (AI) to significantly increase individuals’ adherence to essential health promotion, disease prevention, and disease management recommendations, in a highly personalized and scalable way. Sweetch was developed as a platform for any large-scale clinical outcome prediction, and personalized, data-driven, wellness prevention intervention in the most cost-effective patients. Sweetch's Just-in-Time Adaptive Intervention (JITAI) approach, implements a personalized and fully-automated intervention that focuses on emotional support and motivation in order to drive behavior change. Sweetch's AI-powered Behavioral Intelligence Engine converts millions of data points originating from a user's smartphone, connected devices, and patient-reported outcomes, into contextual, hyper-personalized, just-in-time, just-in-place recommendations. Through analyzing the user’s current context, past behaviors, and real-world capabilities, Sweetch proprietary algorithms identify the individual’s compliance patterns, and continuously adapt the recommendations to each user leading to significantly improved adherence and ultimately improved health outcomes. Diabetes is Sweetch's first use case.See full profile >>
Somatix provides a wearable remote patient-monitoring software platform for healthcare. The company's solution uses patented gesture-detection technology and machine-learning algorithms to analyze users' gesture data in real time. The algorithms remotely and passively detect physical and emotional indicators to generate insights on risk factors for adverse events, poor medical compliance, inactivity, falls, dehydration, and more. This data delivers important clinical insights to healthcare providers, helping them maintain continuous contact with and improve the wellbeing of those under their care. The Somatix platform allows organizations to remotely observe and maintain continuous, bi-directional contact with those under their care. It passively monitors gestures indicating undesired behavior patterns or negative physiological or emotional symptoms to trigger real-time alerts and enable immediate health intervention. The platform can be used to issue variable combinations of personalized cognitive behavioral therapy incentives, ultimately helping increase adherence with treatment objectives, enhance individuals' wellbeing, and improve people's lives.See full profile >>
Keheala is a digital-health platform that delivers behavioral interventions and disease management tools to basic-feature phones and smartphones in order to improve healthcare access and treatment outcomes for patients. The company's solution addresses non-medical drivers of disease (stigma and a lack of information, motivation, and support) through the use of proven behavioral strategies, providing healthcare agencies with remote monitoring and analytics to combat epidemics in resource-constrained environments. In 2016, in partnership with the US Agency for International Development, the Kenyan Ministry of Health, and academic partners at Harvard and Yale, Keheala implemented a randomized, controlled trial of 1,200 patients with tuberculosis in Kenya. Patients using the Keheala intervention demonstrated a 68% reduction in unsuccessful treatment outcomes (death, failed treatment, and failure to follow up) compared to the standard of care in Kenya. Keheala is now scaling its work in Kenya, launching a new intervention in Zimbabwe for its first customer UNDP, and modifying its intervention for HIV and diabetes in partnership with a large African telecommunications company. The company's approach has been recognized with multiple innovation awards and prizes.See full profile >>
Well-Beat is an eHealth patient-adherence navigator. Its machine learning-based engine compiles patient profiles, real-time behavioral data, and provider feedback and uses behavioral psychology best practices to enable personalized patient engagement. Fed by digital and human feedback, the system implements a continuous loop of patient monitoring and improvement. The recommendation engine offers follow-up interventions based on the patient profile, effectiveness of previous interventions, and current behavior. Well-Beat provides a hybrid motivational experience, guiding providers in their interactions with patients and generating real-time digital personalized interventions. The Well-Beat platform nurtures the relationship between care providers and patients with chronic conditions throughout the patient journey, thereby improving patient satisfaction, engagement, standard of care, and overall adherence while decreasing avoidable healthcare spending without additional staff.See full profile >>
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Welcome to www.startupnationcentral.org (together with its subdomains, the “Site“, and together with the Content, Marks (defined below) and any services, the “Service”).
Last updated: January 2018
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Last Updated: January, 2018