Adding Vital Signs to Your Health System's Virtual Care Program
A step-by-step implementation guide for health system CIOs on integrating contactless vital sign capture into existing virtual care workflows.
Most health systems have moved past the question of whether to offer virtual visits. The programs are running. The platforms are deployed. Providers and patients have adapted to video-based encounters across primary care, behavioral health, chronic disease management, and specialty follow-ups.
The next question is how to improve the clinical quality of those encounters. And for many health system CIOs and virtual care directors, the most pressing gap is the same one clinicians have been raising since the first wave of telehealth expansion: virtual visits lack objective vital sign data.
Camera-based vital sign capture using rPPG technology offers a path to close that gap without the operational burden of device-based remote monitoring programs. But implementing any new clinical technology in a health system requires careful planning, stakeholder alignment, and phased execution. This guide walks through the key stages of adding contactless vitals to an existing virtual care program.
Phase 0: Assessment and Readiness
Before evaluating specific solutions, health systems need a clear picture of their current virtual care landscape and the clinical problem they are solving.
Current Platform Inventory. Start by documenting exactly how virtual visits are delivered today. Which telehealth platform (or platforms) are in use? Is video delivered through the EHR's native telehealth module (Epic Video Visits, Oracle Health Video Visit), through a third-party platform (Amwell, Teladoc, Doxy.me), or through a custom-built solution? Are different departments using different platforms? Understanding the technical landscape determines the integration approach.
Volume and Use Case Analysis. Pull data on virtual visit volumes by department, specialty, and visit type. Identify where vital signs would have the highest clinical impact. Primary care follow-ups, cardiology check-ins, pulmonology visits, and chronic disease management encounters are typically high-value starting points. Behavioral health visits, while high-volume, may have different vital sign requirements (stress index and HRV may be more relevant than SpO2).
Clinical Stakeholder Mapping. Identify the clinical champions and potential resistors early. The Chief Medical Officer, Chief Nursing Officer, department medical directors for high-volume virtual care specialties, and clinical informatics leadership all need to be part of the evaluation. Provider buy-in is not optional -- clinical adoption determines whether the technology delivers value or becomes shelfware.
Technical Readiness. Assess your integration capabilities. Does your EHR support incoming vital sign data via standard interfaces (HL7v2, FHIR)? Does your telehealth platform support SDK integration or third-party modules? What is your team's capacity for integration work in the current IT project pipeline?
Phase 1: Integration Architecture
Camera-based vitals can be integrated into health system workflows through several architectural patterns. The right choice depends on your telehealth platform, EHR, and organizational preferences.
SDK Integration into Existing Telehealth Platform. This is typically the preferred approach. The rPPG capability is embedded directly into the video visit experience that patients and providers already use. From the patient's perspective, nothing changes about how they join or conduct a visit -- vital signs are captured in the background during the video stream. Circadify's SDK is designed for this integration pattern, with on-device processing that keeps facial video data on the patient's device and transmits only derived vital sign values.
Standalone Pre-Visit Module. In this pattern, patients complete a brief vital sign capture step before the video visit begins, similar to a digital intake form. The patient faces their camera for 30-60 seconds, vitals are captured, and the results are available to the provider when the visit starts. This approach requires less deep integration with the telehealth platform but adds a step to the patient workflow.
EHR-Embedded Widget. For health systems using EHR-native telehealth (particularly Epic), an EHR-embedded approach places the vital sign capture within the provider's clinical workspace. This can be implemented through Epic's App Orchard ecosystem, Oracle Health's marketplace, or similar EHR extensibility frameworks.
Regardless of the integration pattern, the data flow follows a consistent path: camera captures facial video, on-device algorithms extract vital signs, vital sign values are transmitted to the clinical system, and the EHR receives structured vital sign data for documentation and clinical decision support.
EHR Integration for Vital Sign Documentation. This is the critical piece that determines clinical utility. Vital signs captured during virtual visits must flow into the EHR in the same structured format as vitals captured during in-person visits. This means mapping to standard vital sign fields (heart rate, SpO2, etc.) in the patient's flowsheet, making them available in clinical notes, and ensuring they appear in trend views alongside historically captured vitals.
For Epic environments, this typically involves incoming results interfaces mapped to vital sign flowsheet rows. For Oracle Health (Cerner), incoming HL7v2 ORU messages or FHIR Observation resources can populate the vital signs section. The clinical informatics team should work with the vendor to ensure proper LOINC coding and units for each vital sign parameter.
Phase 2: Pilot Design and Execution
Enterprise-wide rollout on day one is rarely the right approach. A well-designed pilot establishes clinical validity in your environment, identifies workflow issues, and builds the evidence base for broader deployment.
Pilot Scope. Select one to two departments with high virtual visit volume, engaged clinical leadership, and relatively standardized visit workflows. Primary care and cardiology are common pilot departments. Aim for a pilot population large enough to generate meaningful utilization data -- typically 20-30 providers conducting 500-1,000 virtual visits over a 60-90 day period.
Success Criteria. Define measurable outcomes before the pilot begins. Key metrics typically include:
- Technical success rate: percentage of virtual visits where vitals are successfully captured (target: above 85%)
- Provider utilization: percentage of providers who review captured vitals during encounters (target: above 70%)
- Patient experience: patient-reported satisfaction with the vital sign capture process
- Clinical impact: change in documentation completeness for virtual visit vital signs
- Workflow efficiency: any change in average visit duration
Provider Training. Training requirements for camera-based vitals are minimal compared to most clinical technology rollouts, since the technology operates largely in the background. Provider training should focus on where to find the vital sign data in their clinical workflow, how to interpret rPPG-derived measurements (including understanding the accuracy profile and appropriate clinical use), how to troubleshoot when vitals are not captured (poor lighting, patient camera issues), and how to document vital signs in clinical notes.
Patient Communication. Patients should be informed that their virtual visit will include vital sign measurement using their device camera. This can be incorporated into pre-visit instructions, appointment reminders, and the consent process. Transparency about on-device processing and data privacy is important for patient trust. Most patients respond positively when they understand that their visit will include the same type of vital sign check they receive in the office.
Phase 3: Optimization and Expansion
After the pilot validates the approach, the focus shifts to optimization and broader deployment.
Workflow Refinement. Pilot experience invariably reveals workflow adjustments. Common refinements include adjusting the timing of vital sign capture (during intake versus during the provider encounter), configuring alert thresholds for abnormal readings that trigger clinical escalation, optimizing the display of vital sign data in provider workflows to minimize clicks and maximize visibility, and addressing edge cases (patients using tablets in landscape mode, poor lighting environments, patients who join visits from moving vehicles).
Department-by-Department Rollout. Expand beyond pilot departments in a planned sequence. Prioritize departments based on clinical impact, virtual visit volume, and leadership readiness. Allow four to six weeks per department wave for training, go-live support, and stabilization before adding the next wave.
Provider Adoption Support. Monitor provider-level utilization data. Identify providers who are not reviewing captured vitals and understand why. Common barriers include workflow friction (too many clicks to access data), lack of awareness (providers do not realize vitals are available), clinical skepticism (providers do not trust the measurements), and technical issues (vitals not capturing reliably for their patient population). Address each barrier with targeted interventions: workflow optimization, peer champion advocacy, clinical education, and technical troubleshooting.
Phase 4: Enterprise Operations
At enterprise scale, camera-based vitals become part of the standard virtual care operating model.
Governance. Establish governance for vital sign capture within existing virtual care governance structures. Key governance questions include clinical policies for how rPPG-derived vitals should be used in clinical decision-making, quality monitoring for ongoing accuracy and reliability, data governance for retention, access, and secondary use, and vendor management for SLAs, uptime requirements, and upgrade cycles.
Ongoing Quality Monitoring. Track technical and clinical quality metrics on an ongoing basis. Technical metrics include capture success rate, measurement consistency, and system availability. Clinical metrics include documentation completeness, provider utilization trends, and clinical outcome correlations.
Integration with Broader Digital Health Strategy. Camera-based vitals during virtual visits are one component of a broader digital health measurement strategy. Consider how televisit vitals complement (rather than compete with) existing RPM programs, chronic disease management initiatives, and population health analytics. The data generated by routine vital sign capture across all virtual visits can inform population health insights that siloed RPM programs cannot provide.
Change Management Considerations
Technology implementation is 30% technical and 70% organizational. Several change management principles apply specifically to adding vital signs to virtual care.
Frame the Value Correctly. For providers, the value proposition is clinical confidence: "You will have the same vital sign data in a virtual visit that you have in an office visit." For administrators, the value proposition is quality and efficiency: "Virtual visit documentation will be as complete as in-person visit documentation, and unnecessary in-person follow-ups will decrease." For patients, the value proposition is better care: "Your doctor will be able to monitor your vital signs during your video visit, just like in the office."
Address Privacy Proactively. Both providers and patients will ask about camera-based measurement and data privacy. Be prepared with clear, accurate information about how the technology works. Circadify's on-device processing model means that facial video is analyzed locally on the patient's device -- raw video is never transmitted or stored externally. Only derived vital sign values (numerical readings) leave the device. Lead with this architecture in privacy conversations.
Do Not Oversell Accuracy. Clinical trust is earned through transparency. Present the accuracy profile honestly, including limitations. Providers who understand that rPPG heart rate correlates strongly with ECG-derived heart rate but that SpO2 estimation has wider confidence intervals will use the data appropriately. Providers who are told the technology is "just as good as a hospital monitor" will lose trust the first time they see a measurement they question.
Celebrate Early Wins. Identify and share stories from the pilot where vital sign data during a virtual visit changed a clinical decision, caught an abnormality, or increased provider confidence. These stories are more powerful than any ROI spreadsheet for driving organizational adoption.
Building the Business Case
For CIOs seeking investment approval, the business case for camera-based vitals in virtual visits rests on several pillars.
Operational Efficiency. Reduction in unnecessary in-person follow-ups driven by provider uncertainty during virtual visits. Even a modest reduction in "come-in-so-we-can-check-your-vitals" follow-ups has meaningful operational and financial impact.
Quality and Risk. Improved clinical documentation completeness for virtual visits. Reduced clinical risk from encounters without objective physiological data. Stronger compliance posture for evolving virtual care quality standards.
Competitive Differentiation. In markets where patients choose between health systems for virtual care, the ability to offer a more clinically complete virtual visit experience is a meaningful differentiator.
Scalability. Unlike device-based RPM, which scales linearly with per-patient hardware costs, camera-based vitals scale with virtual visit volume at marginal software cost. This makes it economically viable to capture vitals for every virtual visit, not just for select patient populations.
The implementation path from assessment through enterprise deployment is well-established. Health systems that have already built mature virtual care programs have the organizational muscle and integration expertise to add vital sign capture as the next evolution of their virtual care capability.
