ClinicalAssist partners with healthcare providers to deploy telemedicine solutions in rural and underserved communities, expanding access, reducing costs, and improving outcomes at scale.
Our patented platform supports clinical decision-making, deployed through telemedicine kiosks, physician-supervised remote encounters, or existing provider workflows.
Patients interact with Genie, our virtual assistant, entering symptoms through guided prompts. The system screens for 400+ conditions including COVID-19, influenza, cardiac events, and chronic disease.
Providers connect to patients through our remote-control telemedicine interface, enabling real-time examination support, vital sign integration, and automated encounter documentation via our Scribe module.
ClinicalAssist surfaces differential diagnoses, flags critical alerts (Code Blue, Rapid Response, Fall Alerts), and generates structured treatment recommendations for provider review.
Between visits, patients are monitored via RemoteMonitor.ai, reducing unnecessary ED utilization, hospital readmissions, and care gaps for high-risk rural populations.
ClinicalAssist is not just a research platform. It is an operational business with over 1,000 patients already enrolled in Remote Patient Monitoring, generating revenue through established Medicare billing codes.
Remote Patient Monitoring is not speculative. It is a fully reimbursable service under Medicare. ClinicalAssist enrolls patients and generates revenue through established CPT billing codes: 99453 (device setup), 99454 (monthly device supply and monitoring), 99457 (20 minutes of monthly RPM management), and 99458 (each additional 20 minutes). These codes apply to any patient with a chronic condition, a massive and growing population across both rural and urban America.
With over 1,000 patients already enrolled through RemoteMonitor.ai and the broader ClinicalAssist platform, this is a proven, scalable revenue model and not a pilot program. Partner health systems can deploy ClinicalAssist's RPM infrastructure and begin billing Medicare from day one.
Our technology holds two U.S. patents (US 9,536,051 B1 and US 11,972,865 B1) and multiple international PCT applications, ensuring that partner organizations build on a protected and defensible platform.
The RobotDoctor module can serve as virtual primary care, treating most common medical problems where face-to-face visits may not be necessary, while tracking symptom progression over multiple encounters.
ClinicalAssist Clinical FrameworkDeploying continuous remote monitoring and clinical decision support to patients in rural America, where distance itself is a barrier to care.
Our RHT proposals are implementation-first, research second. We have proof of concept from Bangladesh and now we bring it to the United States. Participating clinics will generate real-world outcomes data for retrospective analysis, but the primary mission is improving patient care today. We are actively pursuing RHT funding across multiple states, with annual calls giving us repeated opportunities to expand.
A two-layer model that improves efficiency inside the clinic and extends care beyond it. Funded through RHT grants and self-sustaining through Medicare RPM billing codes.
A lower-lift option for clinics not yet ready for full in-clinic deployment. Medical assistants repurpose their existing 20-minute monthly RPM calls, now augmented by ClinicalAssist AI that gives them PA-like clinical capabilities.
Every state issues RHT calls annually, giving us multiple shots at major state funding as our evidence base grows. Each clinic we implement is a data point building the case for wider adoption. As evidence accumulates from these early partners, we will scale RHT proposals to additional states year over year.
Dense urban centers like New York City face the same access barriers as rural communities. Congestion, transportation cost, and physical inaccessibility replace geographic distance, but the outcome is identical: patients who cannot reach care. We propose the first city-wide Cognitive AI triage system to solve it.
New York City faces a distinctive healthcare delivery problem: extreme congestion, no dedicated patient parking, buildings without handicap-accessible entryways, and the need to take multiple buses or walk long distances to reach a clinic. For elderly, disabled, low-income, and chronically ill patients, these barriers are functionally identical to the geographic isolation of rural America or rural Bangladesh. The result is that many New Yorkers use hospital emergency departments as their primary care office, and preventable conditions escalate into strokes, heart attacks, kidney failure, and sepsis.
The ClinicalAssist platform combines three components to bring the clinic into the home: a Cognitive AI triage engine that collects full medical history in 20+ languages (voice or text, no smartphone required); cellular-connected RPM devices (BP cuff, pulse oximeter, thermometer, glucometer) that transmit vitals automatically with no WiFi needed; and a remote-control telemedicine device that lets a physician initiate a visit with one click and requires no patient login. Together they create a true hospital-at-home experience. Medicare beneficiaries (65+) are already eligible for federally reimbursable RPM with no additional city or state subsidy required.
A January 2025 study in Nature Communications confirmed that large language models lack the metacognitive capacity required for reliable medical reasoning. They cannot identify the limits of their own knowledge, a property essential for safe clinical deployment. In a separate study evaluating ChatGPT's emergency triage capability, the system under-triaged 52% of cases, directing patients with diabetic ketoacidosis or impending respiratory failure to 48-hour follow-up rather than the emergency department. Traditional decision-tree AI requires approximately 4× more questions than Doctor AI to reach an equivalent conclusion. ClinicalAssist is architecturally distinct from all of these. It does not use LLMs and does not hallucinate.
A peer-reviewed study (JScholar, 2021) compared Doctor AI against Babylon Health and three board-certified internal medicine physicians across 15 clinical cases. Doctor AI provided a complete final diagnosis in 100% of cases, compared to only 53% for Babylon Health's decision-tree system. Both systems achieved 93% concordance with physician triage decisions. Doctor AI required approximately 4.5× fewer yes/no questions than Babylon Health (13.9 vs. 62.3 events per case, p<0.001), demonstrating substantially greater clinical efficiency.
Our physician-supervised pilot in Comilla District, Bangladesh is the first to generate data on the deployment of cognitive clinical decision support in clinical settings, particularly in resource-poor settings. Not yet submitted for peer review. Read the working paper →
CMS has allocated Rural Health Telemedicine funding to all 50 states, and every state now has an active RFP. ClinicalAssist is purpose-built to answer it.
The Centers for Medicare & Medicaid Services (CMS) has distributed Rural Health Telemedicine funds to all 50 states. Each state has issued or is actively issuing an RFP for qualified telemedicine providers to deploy RHT-compliant platforms and services. This represents a once-in-a-generation opportunity to bring federally backed telemedicine infrastructure to underserved communities at scale.
State RFPs are seeking platforms that can deliver physician-quality triage, remote patient monitoring, and continuous care to rural and underserved populations, without requiring on-site physician presence at every encounter.
ClinicalAssist is the only patented cognitive clinical platform that integrates triage, RPM, and remote-control telemedicine in a single system, already deployed and validated in the field, and covered under Medicare RPM reimbursement pathways. We are shovel-ready.
CMS's RHT mandate is to extend care to patients who cannot reach it. This is the exact problem ClinicalAssist was built to solve. Every active state conversation we are in is an opportunity to respond to an open RFP with a proven, federally reimbursable platform.
We're seeking healthcare providers, FQHCs, rural hospitals, and state health systems ready to bring telemedicine to their communities.
Integrate ClinicalAssist into existing workflows. Reduce documentation burden with the Scribe module, triage walk-ins faster, and extend capacity without additional FTEs.
Serve as a regional hub for telemedicine, deploying ClinicalAssist across spoke sites in your state's rural counties. Qualify for federal RHT designations and reimbursement pathways.
Extend your hospital's reach into the community through remote monitoring, fall and code blue alerts, and intelligent patient handoffs that reduce ED overcrowding and readmissions.
Tell us about your organization and service area. Our team will follow up within 48 hours to schedule a demonstration and needs assessment.