Pieces Chat is a patient and family communication tool integrated into the health system’s EHR patient portal. This two-way platform allows patients and families to ask unlimited questions about medical terminology, providing clear and accurate answers. By addressing routine inquiries, Pieces Chat empowers families with information while allowing physicians to focus on personalized patient care, enhancing overall communication and collaboration.

Our mission is to better people’s health and wellbeing. We do that by combining artificial intelligence with deep clinical knowledge to predict outcomes and present actionable information to healthcare providers. We also connect people to needed community services and community services to one another. By reducing manual effort our customers can spend more of their time helping people rather than entering, organizing or sifting through data.

MyndYou’s next generation care management solutions help healthcare organizations improve clinical and engagement program results and reduce the cost of care. Fronted by an AI-enabled assistant, Eleanor delivers end-to-end care management support, reaching your members and discovering needs for follow-up, so your clinicians can focus on top-of-license care.

Eleanor is more than a call system – she’s trained to have dynamic, clinical, human-like conversations with your members. Eleanor becomes an extension of your team. With her empathetic approach, Eleanor speaks with your members to identify needs, prioritizes interventions for follow-up, and summarizes patient-clinician encounters, improving the efficiency and effectiveness of your care programs. Eleanor solutions can be configured for single-event encounters, such as cancer screening, or as part of a multi-touch, longitudinal program, such as chronic care monitoring.

Eleanor is easy to implement into healthcare organizations, following our proven onboarding approach that minimizes impacts on the clinical, administrative, and IT teams while focusing on speed-to-value.

MyndYou’s next generation care management solutions help healthcare organizations improve clinical and engagement program results and reduce the cost of care. Fronted by an AI-enabled assistant, Eleanor delivers end-to-end care management support, reaching your members and discovering needs for follow-up, so your clinicians can focus on top-of-license care.

Eleanor is more than a call system – she’s trained to have dynamic, clinical, human-like conversations with your members. Eleanor becomes an extension of your team. With her empathetic approach, Eleanor speaks with your members to identify needs, prioritizes interventions for follow-up, and summarizes patient-clinician encounters, improving the efficiency and effectiveness of your care programs. Eleanor solutions can be configured for single-event encounters, such as cancer screening, or as part of a multi-touch, longitudinal program, such as chronic care monitoring.

Eleanor is easy to implement into healthcare organizations, following our proven onboarding approach that minimizes impacts on the clinical, administrative, and IT teams while focusing on speed-to-value.

 Deep native integration with the Electronic Health Record ensures seamless application of AI in healthcare workflows, particularly at the frontlines.

• Insights generated in real-time at the bedside using predictive models, which are then communicated through clinical generative AI.
• Deep native integration with the Electronic Health Record ensures seamless application of AI in healthcare workflows, particularly at the frontlines.

Eleanor calls (or texts) patients to engage them in a clinical conversation and prioritize patient needs for clinican follow-up.

1. Ability to make outbound, proactive phone calls to engage patients in a dynamic, empathetic conversation about their health and well-being, averaging 3.4 minutes per call.

2. Goes beyond the transactional to support complex needs with dynamic, conversational listening, prioritizing clinician follow-up. She does not rely on digital tools which may increase disparities.