Fabric's Engagement Suite offers an AI-powered virtual assistant that integrates with websites, patient portals, or mobile apps to help patients find the care and resources they need. The assistant integrates with the EMR and is available to patients 24/7. 

The Engagement Suite also offers AI-powered patient outreach for pre- and post-visit use cases. Patent messaging integrates with the EHR to log encounter notes and automatically flag cases and trigger escalation workflows. 

Fabric is a health tech company that powers healthcare providers to move faster, work smarter, and deliver better care through its care enablement system. The system offers three solutions: In-Person Care Suite, Virtual Care Suite, and Engagement Suite. 

Leveraging conversational AI and intelligent adaptive interviews, Fabric unifies virtual and in-person care across intake, triage, routing, and treatment while automating workflows for staff. Built by a team of physicians and clinical informaticists, Fabric protocols uphold excellence in care quality while offering omnichannel access for patients. The results enable clinicians to work 2-10 times faster (dependent on setting), decrease call center volume by 15%, and increase utilization of unfilled visit blocks. 

Some of Fabric’s customers include Luminis Health, OSF HealthCare, MUSC Health, and Intermountain. Fabric is backed by Thrive Capital, GV (Google Ventures), Salesforce Ventures, Vast Ventures, BoxGroup, and Atento Capital.

Infermedica's Medical Guidance Platform is a set of intelligent healthcare technologies that enables symptoms assessment and digital triage, and supports communication between physicians and patients.

At the core of Infermedica’s technologies are its Medical Knowledge Base, Inference Engine and API gateway.

Infermedica’s platform can be used by healthcare providers, insurers, telemedicine companies, employers, and governments to minimize inappropriate use of medical services, improve patient navigation, and user satisfaction. 

Symptom checking, intake and follow-up features provided by Infermedica’s platform can be freely implemented on webpages, mobile apps, patient portals, chatbots, voicebots, call centers, and others. It is possible through flexible API, and our ready-to-use solutions.

Infermedica's mission is to make healthcare accessible, convenient, and affordable for everyone worldwide, by automating primary care from symptom to outcome. The company specializes in AI-driven solutions for early symptoms assessment, digital triage and care navigation. Its core product is a Medical Guidance Platform, through which healthcare organizations can introduce solutions for symptoms checking, patient intake, follow-up, call center support and more. 

Infermedica has been adeptly interweaving cutting edge technologies, including AI, LLMs, and NLP, and proven medical knowledge into their platform. Their solutions achieve 94% of triaging accuracy. Since 2012 it supports leading healthcare organizations such as Allianz Partners, Gothaer, Médis, Microsoft, and Sana Kliniken. 

Infermedica is now being used in over 30 countries, in more than 20 languages, and has completed more than 22 million successful health checks to date. 

Fabric's Virtual Care Suite is powered by Fabric's Clinical Intelligence Engine, Loom. Loom is a clinical expert system and conversational ai that captures patient data across channels and automates workflows for clinical and administrative staff. Using automated clinical symptom gathering, Loom generates clinical SOAP notes, treatment plans, visit summaries and more. When applied across 2,000+ unique diagnoses, Loom automates 99% of administrative burden for staff and makes clinicians 2-10x faster at providing care. Additionally, Loom offers clinical decision support to providers to uphold the highest levels of care quality. 

Additionally, Fabric's team of expert clinicians builds and maintains our clinical expert system and content in coordination with our Clinical Quality Advisory Council, a team of 14 practicing clinical executives from around the country. Council members perform reviews of Fabric's evidence-based clinical protocols. Additionally, the council supports ongoing quality assurance efforts and helps establish clinical quality best practices for virtual care. The council also guides in-depth studies around the safety, effectiveness, and value of virtual care.

Fabric's Virtual Care Suite is powered by Fabric's Clinical Intelligence Engine, Loom. Loom is a clinical expert system and conversational ai that captures patient data across channels and automated workflows for clinical and administrative staff. Using automated clinical symptom gathering, Loom generates clinical SOAP notes, treatment plans, visit summaries and more. When applied across 2,000+ unique diagnoses, Loom automates 99% of administrative burden for staff and makes clinicians 2-10x faster at providing care. Additionally, Loom offers clinical decision support to providers to uphold the highest levels of care quality. 

Additionally, Fabric's team of expert clinicians builds and maintains our clinical expert system and content in coordination with our Clinical Quality Advisory Council, a team of 14 practicing clinical executives from around the country. Council members perform reviews of Fabric's evidence-based clinical protocols. Additionally, the council supports ongoing quality assurance efforts and helps establish clinical quality best practices for virtual care. The council also guides in-depth studies around the safety, effectiveness, and value of virtual care.

Infermedica enriches EHRs by integrating data from its symptom checking and triage functionalities. This ensures more complete, up-to-date, and readily accessible health records for medical professionals.

Furthermore, it streamlines documentation workflows through AI-powered note generation, minimizing administrative tasks while accurately capturing essential patient details for direct EHR integration. It also strengthens clinical decision-making by delivering comprehensive pre-appointment patient insights, encompassing symptoms, risk factors, probable conditions, and recommended care pathways.

• 20,000,000 health checkups completed
• 94% of engine accuracy
• available in 24 languages
• available via API and iframe
• 120.000+ hours of physician's work