With exciting advances is AI, NLP, machine learning, patients can communicate via voice and/or text, 24/7, extending the reach of physicians and care teams to support self-care from home. YODHA is designed to create a trnsformative patient experience that empowers them to adopt new healthy habits that improve their health and wellness. while reducing their health risk. 

As a customizeable platform, engagement strategies can be delivered to achieve a wide range of business goals. For those focused on reducing the incidence and cost of chronic diseases, our platform applies proven behavior science methodologies to proactively reach at-risk patients and engage them,regardless of their initial level or awareness or motivation. Our behavior science driven approach helps them build motivation and self-confidence to set short-term achieveable goals that support their journey to better health and wellness.  

YODHA can also be deployed to streamline care processes and improve performance on quality indicators including supporting transitions to home following hospital discharges, following up after ER visits, closing care gaps, improving medication compliance and administering surveys. Our platform also offers a new excitijng opportunity to view educational content on demand, deliverered by a trained AI video generator and/or traditional videos and pdfs from our library.  

By integrating available claims, EMR,, lab data with patient provided chats, we create comprehensive patient profiles. Levels of health risk, motivation, self-confidence, mental/emotional health and change readiness to deliver are identified to create personalized approaches to create new healthy habits spanning food/nutrition choices, levels of physicial activity, and emotional control, 

Our technology stack is supported on the AWS platform and includes use of a constrained large language modeel (LLM) conversational AI and an AI video generator that supports voice and text interactions with our YODHA chat bot on smart phones, tablets and desktops. The product integrates patient data from EMR and claims records with information that is gathered in structured chat interactions to tailor personalized engagement strategies that align with the health care organizations patient engagement goals.

CareCentra is an AI company that shapes behaviors in healthcare settings.  

It is the only platform of its kind that builds personalized choice architectures based on the Nobel Prize winning nudge theory. Choice architecture in our context is the design of different ways in which choices can be presented to patients, and the impact of that presentation on the patient’s decision-making. For example, the number of choices presented, the way attributes are described, and the presence of a "default” can all influence patient choice. As a result, the deliberate design of choice architecture to nudge patients toward personally and socially desirable behaviors like adhering to standards of care, choosing healthier foods, managing stress or social integration. These interventions are often justified by the fact that well-designed choice architectures can compensate for irrational decision-making biases to improve health outcomes. CareCentra’s platform works by generating nudges (a combination of content, frequency, channel, and incentive) designed for a segment-of-one in what we call precision nudging  

CareCentra’s MoBe Platform 

Persuasive technologies shape behaviors. Like Instagram (whose cofounder Mike Krieger was a student of B.J. Fogg in Stanford) and other popular social media platforms, they are behaviorally tuned and help form habits. Used appropriately, persuasion rather than reminders, help build long term habits of actions like medication adherence, stress management etc.  

The drop-out rates of <5% on all our deployments over 12-24 months testify to the ability of the platform to retain engagement over long periods of time. This allows deployment to manage chronic diseases and preventive care programs like fitness or wellness that require sustained engagement. 

The CC platform is designed for delivering adaptive nudges at scale. No two patients managing the same condition, say heart disease, respond to care plans in the same way. As a learning system the platform gets ‘smarter’ over time. It delivers nudges based on the patient’s MoBe Map ensuring high levels of responsiveness and engagement. 

The architecture of our platform allows a health system to license a SaaS module for, say, Medication Adherence, and once integrated into their workflow, keep adding other digital care journeys like heart health, breast cancer, maternity, etc. all on the same platform. The care journeys we offer cut across type of condition (chronic or acute) and site of care (in-hospital or at home) coordinating with care teams as relevant or permitted. This is also why the platform can be deployed by providers, payers, and employers in various settings. 

CareCentra’s platform is both omnichannel (text, App, IVR, Alexa etc.) and integrates with multiple personal devices without requiring any specific hardware within the provider or with the patient. 

CareCentra is a B2B platform that targets at-risk populations and risk-bearing plans. The aggregate populations come from providers, payers and through Pharma partnerships. The Maternity Care journey is, however, a product that lends itself to a B2C model that we do not intend pursuing in the near future 

The CareCentra platform collects behavior data at the level of individual patients for every care journey in combination with clinical data. This makes its algorithms effective in building personalization and engagement. 

Use of conversational AI to learn about patient concerns, aspirtaitons, change readiness and sources of potential motivations to improve their health from home.

Use of clinical and emtional/ behavioral data to develop personallized patient activation strategies. Integration of a tioconstrained LLM to enable patients to ask general health questions. Use of AI video generators to provide an enaging way to share vetted informtion appropriate for the patient's condition. Omni-channel capabilites support voice and text interactions. Provision of patient abdcare team portals to enable care management