Easily take image and sound based measurements for heart, lung, throat, nose, and ear without the need for medical personnel.

Augmented Reality Measurements

AR guidance for usage with laryngoscopes, otoscopes, and stethoscopes enables patients and non-medical personnel to conveniently obtain accurate medical measurements. AdviNOW's AR capability is compatible with a wide range of readily available medical devices.

Accessible Data

Facilitate easy and accurate recording of image and sound data directly and discretely into your EMR, enabling longitudinal patient studies with actual data.

AdviNOW Medical is the first complete automated journey platform to seamlessly navigate all aspects of the patient encounter. 

AdviNOW removes friction points between the patient, clinic, payer, and provider through its following solutions:

• Digital Front Door
• AI Data Collection and Triage 
• Decision Support and Scribe
• Post Patient Engagement
• Medical Measurement Guidance

The result of our solutions is automated care coordination, exact and personal consistency of care with gaps closure, increased patient throughput and reduced patient wait times.

Fabric's In-Person Care Suite improves the experiences of both patients and providers by eliminating duplicate tasks, reducing nurse documentation time, and actively engaging and informing patients throughout their visits. Fabric offers Care Guides for patients to reduce no-shows, cancellations, and to fill unused visit blocks, and improves clinical efficiency. 

Patient Guides:

• Streamlines the experiences of patients and providers through real-time updates and reduced documentation time
• Guides and informs patients throughout their visit
• Reduces nurse documentation time
• Collects patient data while patients wait
• Connects patients with Primary Care Providers (PCPs) prior to discharge
• Expedites the ER and urgent visit process
• Provides patients with visibility into visit progress
• Enables convenient scheduling for follow-up appointments

Perioperative Guides

• Enhances the surgery experience by delivering timely information and outlining next steps to patients
• Offers a comprehensive overview of the surgery journey
• Provides next steps, including patient education, preoperative triage, checklists, etc.
• Answers frequently asked questions 
• Sends automated time-release reminders to help patients stay on track
• Shares surgery-related information with family and friends
• Automates pre-surgery triage to assess surgical risk, improving preoperative preparation and enhancing patient safety

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.

The conventional method of gathering vital measurements, including throat, ear, lung, and heart exams, is time-consuming and necessitates an in-person consultation with a physician. AdviNOW's user-friendly medical equipment and AR system enable medical assistants or even patients themselves to obtain accurate measurements, thus saving physician time and enhancing the overall patient experience.

While other companies provide partial solutions, AdviNOW stands out as the sole end-to-end system that completely automates the patient-provider encounter, covering all stages from pre-visit to post-visit.

Our AR measurement system revolutionizes clinical practices by eliminating the requirement for medical expertise to conduct and document physical exams. 

Fabric's In-Person 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.

Fabric's In-Person 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.