ThinkAndor® supports multilingual and omni-channel virtual visit sessions between patients and providers without the need for downloading an app. Via Andor’s digital front door, we provide patients with a model for navigating to the appropriate line of care through a first in the industry use of OpenAI/GPT capabilities. Patients can either schedule a synchronous virtual visit session or choose from a variety of asynchronous options. Patients can also add family members or caregivers in the virtual wait room and providers can invite colleagues for multi-disciplinary calls using the embedded ThinkAndor®AI Bot within the session. This whole process helps to improve how both patients and providers are brought together.

ThinkAndor® supports a comprehensive virtual waiting room with a fully configurable set of patient intake and assessment forms. In this process, providers can push patients to complete a device and browser check, review their symptoms, complete inclusion/exclusion criteria and upload images. Shortly before the visit, patients can add family members or care givers and improve accessibility through features like closed captioning. Providers/care team members can track a patient’s progress in the queue and alert them when the provider is ready to begin the session.

ThinkAndor® provides highly-resilient video call capabilities with the ability to toggle to phone/audio and support multi-party sessions. The presence of the ThinkAndor®AI Bot during visits acts to track time, surface clinically relevant content for the clinician, and create SOAP notes. Additionally, ThinkAndor® can support asynchronous communications for lower acuity conditions. These can be escalated to synchronous calls if a clinician determines that the patient’s status has degraded.

ThinkAndor®’s bidirectional integration with the client EHR allows users to leverage existing patient demographic/medical information and upload new documentation. Generative AI curates the content and context for the clinician from the virtual experience for clinical documentation prep and decision making. The ThinkAndor®AI Bot also facilitates an ambient experience in the virtual visit and captures the voice of the clinician to generate clinical documentation for the EHR, including SOAP notes. The dashboard allows clinicians to both monitor active signals from patient inputs and devices as well as review past documentation in the patient details. This improves workflow orchestration and enables faster interventions to yield improved patient outcomes.

ThinkAndor® has the ability to support eligibility, payment processing – including payment plans & copays, prescriptions, labs, orders, and referrals through third-party integrations and core host systems such as the client’s EHR. Relevant information from orders can be surfaced by the ThinkAndor®AI Bot and brought to the attention of providers through preconfigured alerts and escalation pathways. Because the ThinkAndor®AI Bot starts the session, it also captures the timing of the experience and the documentation to support billing for that particular visit. Post-visit, ThinkAndor® continues the experience by reaching out to the patient to ensure compliance with their care plan and any follow ups that may be required.

Andor Health provides both remote and on-site technical support as needed by customer institutions. Andor Health maintains a help desk to receive service-related inquiries from the client via designated means during the client’s business hours, excluding Andor Health observed holidays, and Andor provides clients with extended support outside of business hours via telephone for critical issues. Per the specific implementation and the client’s needs, Andor can stand up educational materials and assign the appropriate routing for patient concerns.

Through ThinkAndor®’s native capabilities and deep integrations with staffing partners, Andor can help fill chronic staffing shortages and address emergencies like burst capacity scenarios. For virtual nursing, virtual sitting, remote consults, and other bespoke virtual hospital use cases, including telestroke, telepsych, and virtual hospitalists, Andor can either leverage resources from other facilities within a health system or bring in credentialed resources from third parties. This both fills certain specialties which users may not already have staffed and allows for health systems to reduce costs by better matching resources to current capacity.

Andor Health uses PowerBI to provide robust analytics such as provider utilization/productivity, average time per visit, most commonly treated conditions, resolution vs. escalations, volume by day and time, and patient feedback. Andor Helath is also pioneering the use of OpenAI and GPT to provide insights and analytics along a patient’s care plan so that as data comes through, ThinkAndor™ can provide predictive analysis on the outcome of the patient.

DeepScribe ambient AI understands and adjusts to different patient visit types, placing data into the right context. For instance, when a physician and patient discuss a condition during a follow-up visit, information from previous visits is automatically pulled forward into the current chart - but modified as needed within the context of the current conversation.

DeepScribe offers bi-directional integration to pull and push discrete field information with leading EHR systems including Epic, athenahealth, NextGen Healthcare, Veradigm, Ontada and more. This enables easier access to information that drives continuity of care.

DeepScribe’s ambient AI platform is HIPAA-compliant and SOC-2-certified. All data captured and processed by DeepScribe is encrypted using end-to-end AES-256 technology. To ensure data security and privacy, encrypted data is stripped of all personally identifiable information, ensuring patient information cannot be associated with an individual. DeepScribe also includes an additional layer of security to ensure any user accessing the platform is authorized to do so.

DeepScribe AI has been trained on the learnings from more than 5 million patient conversations. Clinicians simply need to have a conversation with the patient naturally during the encounter, moving through their workflow as they normally would. The ambient AI understands the details and nuances – including essential patient anecdotes – and generates a complete clinical note. The interface is highly regarded for its simplicity. Clinicians begin the encounter with just two taps, then hit one button to record, and another to “scribe” the visit.

DeepScribe was developed with scalability in mind, and supports rapidly increasing user bases at large health systems such as Ochsner Health, Texas Oncology, Covenant HealthCare. Regardless of the practice or organization size, the DeepScribe platform can onboard and accommodate a high volume of clinician users at one time.

The DeepScribe ambient AI platform is continuously learning via patient conversations and built upon a foundation of the largest clinical dataset in the category. In addition to refinements made within the AI model, DeepScribe clinical experts also collaborate with specialty care physicians to ensure each medical group’s workflow and needs are satisfied and reflected in the notes that are generated.