b.well Connected Health is solving healthcare’s fragmentation problem. b.well’s scalable, FHIR-based platform unifies all healthcare data, solutions, and services in one place — empowering healthcare organizations to offer their consumers personalized and relevant experiences. b.well enables the creation of longitudinal health records so healthcare consumers can receive proactive health insights, and conveniently shop and access care for themselves and their loved ones. b.well’s Connected Health Platform integrates within existing digital systems, enhancing technology investments and ensuring consumers are the heart of every interaction. Learn more at icanbwell.com.

b.well was founded to solve healthcare's fragmentation problem. Health information is often scattered across different data sources, solutions, and care settings - leading to misdiagnosis, repeated procedures, and frustrating experiences. 

b.well's scalable, FHIR-based platform unifies all healthcare data, solutions, and services, enabling personalized care and effective population health management. Our technology helps organizations build a longitudinal view of consumer health, allowing consumers to access the right care they need. We provide a white-labeled app solution and can also integrate with your existing digital systems. At b.well, we're more than a technology partner – we enhance your technology investments, ensuring individuals are at the heart of every interaction.

Without Hyro, health system call centers are reaching the burnout threshold too quickly. That’s when the perfect storm of missed calls, long wait times and poor user experience hits hard, ultimately causing patient churn and lost revenues. With Hyro, call center capacity is a non-issue, with 65-85% of calls being automatically deflected or resolved end-to-end, and the remainder of calls being quickly and accurately routed to the right departments.

It's an ever-clean filter you never need to change – Hyro has a three-pronged system to sorting call volume, automating routine calls without human intervention, directing complex calls to the right agent, and deflecting simple calls to SMS for self-service.

Smart Routing:

Navigate calls to the accurate source of support with natural language understanding (NLU)- based smart routing. Instantly match and transfer patient queries to the right service departments, skipping complicated audio menus and lengthy wait times in the process.

End-to-End Resolution:

Automate key digital services from start to finish with conversational AI end-to-end resolution. Solve routine requests such as physician scheduling, paying bills and getting answers to critical questions, without a human in the loop.

SMS Deflection/ Call-to-Text:

Shield overloaded call center teams from repetitive tasks with SMS Deflection (Call-to-Text). Funnel patients to self-serve with the resources you’ve already invested in, directing them to patient portals, FAQ pages, chat solutions and mobile app features.

Benefits:

• 3-10 day deployment
• Zero client-side maintenance
• 60-85% deflection/ resolution of calls and messages
• 5x Average Handle Time
• 99% reduction in Average Hold Time
• Pre-loaded skills, like scheduling and routing
• Proprietary natural language engine that adapts to patients' dialects, phrasing, sentiment and more
• Integrations with Epic EMR, Salesforce, and major telephony providers like Cisco, NICE, Genesys and Twilio

Hyro is a plug & play conversational AI platform enabling healthcare enterprises to easily supercharge patient experiences with voice & text capabilities across all their digital channels.

b.well Connected Health distinguishes itself from traditional EHRs by centering on a unified consumer experience, facilitating health systems' progression towards value-based care, and adopting hybrid care models. This unique approach fosters lifelong loyalty between organizations and their communities. b.well's integration of Longitudinal Health Data, encompassing HIPAA-compliant claims, and PROA insights, is remarkable. Utilizing an optimized FHIR server, b.well delivers fast, cost-effective scalability and performance. It simplifies data conversion with pre-built FHIR mapping and refinement tools while providing real-time data streaming for flexible integration.

b.well's tag-based FHIR security mode enhances customer trust through explicit consent and preference gathering, and its efficient identity management system ensures secure user data access. In addition, personalized communication is enabled through machine learning analyses of health records and preferences, and Natural Language Processing is utilized for user-friendly care searches. b.well also customizes care access protocols and employs FHIR-based dynamic questions to streamline data collection, improving care coordination. Finally, advanced clinical rules (CQL) enhance quality measure accuracy, flexibility, and interoperability, reflecting b.well's commitment to transforming population health.

Consumers, especially in the digital era, primarily expect two things from healthcare: prompt accessibility (the digital front door) and anticipatory communication about their health needs.

The notion of having timely access to services emphasizes a simplified and efficient healthcare experience. However, this sector remains fragmented for consumers, who anticipate an experience similar to travel booking. The digital front door encapsulates consumers' expectations for digital, convenient healthcare access that suits their lifestyle, such as online scheduling and automated pre-check-in processes.

Yet, digital front door solutions largely overlook the anticipatory aspect of understanding and meeting consumer needs. Many people are unaware of the exact timings for routine health procedures like tetanus boosters. This lack of awareness is not due to disinterest but due to the absence of the necessary tools that enable proactive health management. With access to consumer data, healthcare providers can automate proactive communication, reminding individuals about their need for health screenings, vaccinations, or disease-specific tests, like the A1C for those with diabetes.

Consumers can follow basic prompts if alerted about their healthcare needs, and these reminders should be delivered to the family member most likely to arrange appointments. We can promote improved health outcomes and preventive care by offering timely, relevant communication.

Hyro layers on top of EHR functionality, adding natural language understanding to pre-existing workflows and use cases across Epic, Cerner and Athena.

Our main competitors, such as Syllable and Nuance, focus on intent-based voice solutions. Intent, within the conversational AI space, usually means "if X then Y". For example, if AVIA says "red" then stop. We know that conversations need to be more flexible than a rigid flow chart of intents, so Hyro invented a new language-based approach called Adaptive Communications, which uses a knowledge graph, computational linguistics and natural language understanding to simplify and speed up deployment processes. Because of our approach, health systems do not need to constantly update their voice interfaces based on ever-changing content. It also means that typical challenges with conversational AI, including adding new use cases to existing deployments, are nullified with the ability to layer on new data without retraining the model. Ultimately, the time and cost saved by switching from intent-based to language-based is what drove Intermountain Healthcare, Baptist Health, Novant Health and plenty of other health systems to Adaptive Communications.

Unique Benefits: 

• No-code, effortless deployment, and maintenance that doesn’t require any playbooks or training data
• Voice AI that adjusts to changes in context
• Fast automation of dozens of customized use cases and skills simultaneously
• Industry-leading understanding rate at an average of 85-90%
• Seamless live handoff between AI and agents on Cisco, Genesys, NICE, Twilio and more
• Automatic 24/7 scraping of data sources including websites, EMRs/ CRMs, APIs, and client databases
• Real-time dashboard with insights (trends, keywords, and metrics) that helps to optimize digital services
• Explainability that allows health systems to understand why/how AI provides all outputs