PatientBond’s cloud-based, digital health platform automates patient engagement and care coordination with two-way communications, response tracking and real-time adjustment & optimization. PatientBond offers solutions to tackle many business and clinical challenges, including Healthcare Consumer Awareness/Marketing, Pre Visit, Point of Care, Patient Loyalty and Patient Collections for Health Systems, Physician Practices, Urgent Care Centers and Payers. PatientBond personalizes communications based on patients’ motivations and channel preferences using a proprietary psychographic segmentation model developed by healthcare consumer experts from P&G, the worldwide leader in consumer products and advertising. PatientBond enables you to activate desired patient behaviors to increase revenue and volume while ensuring cost avoidance and savings.

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. 

Automates the patient education and status monitoring process. Psychographic insights are used to personalize content, facilitating patient understanding of information and enhancing the likelihood of behavior activation

Psychographic insights are used to personalize content, facilitating patient understanding of information and enhancing the likelihood of behavior activation. Patient response is monitored and can alert/trigger clinician follow-up when necessary