Every year tens of millions of patients face complex health challenges. They feel afraid, uncertain and alone. They want to do the right thing, but most of the time it's just too hard, and they don't have support even when they need it most.
Every healthcare stakeholder is under pressure to better engage people in order to improve outcomes, manage costs and improve patient experience. Payers and providers alike are being asked to do more with less as seismic shifts are taking place in the way that health care is regulated and reimbursed.
Wellframe gives people with complex chronic diseases a GPS navigation system for their health.
Our system empowers patients by giving them step-by-step guidance and human support.
Wellframe uses technology to amplify rather than replace therapeutic relationships.
The Wellframe platform integrates with your existing systems and is designed to improve the efficiency and effectiveness of your care management resources.
Complex care protocols are converted into rich multimedia to-do lists which are delivered to patients on their phones and tablets.
All the data collected from patient’s interactions with their care plans is analyzed in real time and then displayed on a bespoke care management dashboard for clinicians.
The Wellframe app enables a therapeutic connection to be maintained between visits and can be used for any medical condition and for complex combinations of conditions.
Intelligent alerts driven by powerful predictive algorithms help clinicians understand who needs attention much earlier than has ever been possible.
The Wellframe app works on iPhone and Android phones and tablets.
The Wellframe platform allows HIPAA compliant 2 way messaging on top of a care plan which is clinically proven to amplify therapeutic relationships and drive engagement.
La aplicación Wellframe está disponible en Inglés y Español.
Wellframe has developed a proprietary approach to representing clinical protocols as logic structures to direct computer systems at scale and across clinical verticals. We have used this approach to encode evidence based standards such that they can be delivered as adaptive clinical programs on the Wellframe system. We can also model and encode local best practice to realize the local instantiation and delivery of evidence-based medicine.
Wellframe delivers care protocols to patients in the simplest possible unit that achieves clinical-quality resolution: a dynamically generated, personalized daily to-do list. We deliver this in a compelling, beautiful mobile experience available on iOS and Android smartphones and tablets in any language. Our mobile platform also features a secure 2-way communication channel to connect patients with care providers, a semantically organized corpus of multimedia medical information and a private social network where a patient's progress with their care plan can be shared and social support evoked based on user permissions.
Wellframe offers a mobile data collection system that is trusted by pre-eminent health systems, cloud-hosted and scalable to any number of users. Wellframe's patent pending artificial intelligence engine for health state modeling, prediction and dynamic clinical protocol optimization uses data from patient's interaction with their care plans to optimize the system.
Wellframe has developed a lightweight cloud-hosted care management EMR that has been successfully integrated into clinical workflows. We are also able to integrate our software with third party systems such as other EMRs or care management systems based on customer needs.
Wellframe has completed successful clinical trials with some of the world's leading healthcare organizations and clinical thought leaders, attaining exceptional feedback from clinicians and patients alike.
The Wellframe solution improves patient adherence to care plans and drives more enduring relationships between patients and their care providers.
Our solution makes it possible to deliver evidence-based care in a way that is more appealing and more accessible in order to realize outcomes at scale.
Wellframe has achieved over 90% sustained daily engagement among 40 to 80 year old patients with complex chronic diseases.
The Wellframe solution enables a 5X increase in patient: care manager ratio while simultaneously enabling more frequent touch points and improved experience for both care managers and patients.
Our patent pending technology uses human-computer hybrids wherein clinicians and patients work together in partnership with intelligent information systems to amplify caring relationships and improve the quality of care.
Jacob is a Harvard and Oxford trained public health scientist and technologist. He was previously Director of Research & Strategy at Dossia, one of the world’s first and largest Personal Health Records, and Product Manager at RunKeeper, a leading mobile/web health and fitness platform. Jacob’s doctoral research examined the relationship between lifestyle behavior and cardiovascular disease prevention.
Trishan is a Primary Care MD and Harvard trained health systems expert. He was an MIT lecturer in health sciences and technology (’10-’13) and is the inaugural recipient of Harvard’s Public Health Innovator of the Year award (’12.) He was clinical director of Sana Mobile at MIT’s Computer Science and Artificial Intelligence Laboratory.
Vinnie is an MIT trained computer scientist with expertise in systems engineering, complex networks and machine learning. He was a researcher at MIT’s Media Lab, Energy Initiative and Institute for Soldier Nanotechnologies. Minor Planet 24376 Ramesh was named after him in recognition of his work on mesh networks.
Archit is an MIT trained computer scientist with expertise in data mining, biomedical research and healthcare micro-simulations. He was a Visiting Researcher at Microsoft Research’s Emerging Markets group and was a founder of Open Health Designs, which uses low cost technology to improve access to healthcare.
Dogu is a clinical epidemiologist, and entrepreneur with more than 20 years of experience in managed care, health services research, and medical informatics. His experience includes the development and implementation of care management programs (WellAware) at CIGNA, and as the Chief Medical Officer at Optum Insight. His areas of expertise include population health and care management, performance measurement, health risk assessment, and clinical payment systems. He has led efforts to develop large-scale care and disease management programs and information tools for measuring healthcare quality, efficiency and outcomes. He has significant experience of developing predictive models to support care management initiatives and other key business needs of managed care organizations. He developed the underlying clinical methodology behind market leading predictive tools such as Impact Pro, Episode Risk Groups and Pharmacy Risk Groups.
Jimmy is an MIT trained Computer Scientist with deep expertise in user interface design and full-stack web engineering. He's worked as the sole Android engineer at several startups, in industries varying from application performance management to content sharing. In his free time, he enjoys dissecting human-centered design problems.
Susan is a seasoned leader who exudes a passion for optimizing human health. She spent two decades as a clinical consultant and sales manager for BioPharma companies, specializing in cardiovascular medicine and surgery. She has also served as founder and Director of The Rochester School of Excellence, a progressive educational center, and Director of The Ratey Institute, a non-profit advancing physical activity to optimize health and performance.
Brian is a multidisciplinary designer with experience in various fields of design and technology. His work has been featured in magazines and books, and won awards from the Type Directors Club and Communication Arts. He has worked on projects ranging from data visualization to public installations and advertising campaigns to product development.
Tim Draper · Jonathan Bush · Carl Byers · Sir Sabaratnam Arulkumaran · Russ Nash · Dogu Celebi · Saba Malak · Dennis Ferrill · Steve Papa · John McEleney · Vilas Dhar · Michael Gaiss · Walt Winshall · Pam Garside · Simon St Clair Carter
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