WAVE Clinical Platform

by Excel Medical Electronics  · Based in United States → — Predicting the preventable™
Critical Care Emergency Medicine Hospital Medicine
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Regulatory Status Disclosed

Overview

The WAVE Clinical Platform is the first FDA-cleared patient surveillance system, designed to eradicate unexpected deaths in hospitals. It functions as an always-on remote monitoring platform, displaying near real-time clinical views of physiologic and medically relevant data, including waveforms and alarms. The platform integrates with hospital workstations, mobile devices, and electronic medical records (EMRs).

Utilizing predictive algorithms, such as the Visensia Safety Index, WAVE automatically calculates patient risk and provides at-a-glance early warnings of patient deterioration up to six hours in advance, allowing clinicians to intervene proactively. It supports clinical decision-making by correlating multiple vital signs to detect subtle changes indicative of early deterioration, rather than relying on singular data points. The system is EMR vendor-agnostic, with specific tight integration capabilities for Epic Systems.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Always-on remote patient monitoring
  • Near real-time display of physiologic data, waveforms, and alarms
  • Predictive analytics for patient deterioration (e.g., Visensia Safety Index)
  • Early warning of patient deterioration (up to 6 hours in advance)
  • Integration with Electronic Medical Records (EMR)
  • Mobile device compatibility for alerts and data display
  • Customizable alarm management and routing (AlarmNavigator)
  • Risk stratification of patients
  • Web-based dashboard for patient and unit monitoring
  • EMR vendor-agnostic (with tight integration for Epic)

Use Cases

  • Preventing unexpected hospital deaths
  • Early detection of patient deterioration (e.g., cardiac events, respiratory failure)
  • Improving rapid response team effectiveness
  • Reducing alarm fatigue
  • Enhancing clinical decision support
  • Remote patient surveillance in acute care settings

What Physicians Need to Know

Evidence Base
The WAVE Clinical Platform incorporates the Visensia Safety Index algorithm, developed by OBS Medical, an Oxford University spinoff. This algorithm analyzes patterns from up to five vital signs to generate a single early-warning index, focusing on the advanced prediction and prevention of patient deterioration.
Clinical Validation Studies
Phase 1, 2, and 3 studies conducted at the University of Pittsburgh Medical Center (UPMC) were factored into the FDA's clearance. Research indicated that a control cohort experienced 6 unexpected deaths, while the trial cohort utilizing the WAVE platform had 0 unexpected deaths.
Alert Fatigue Management
The platform features 'AlarmNotification,' which enables customizable clinical assignments, filtering, routing, and escalations of alarms. This functionality is designed to deliver the right information to the appropriate care team member, helping to address alarm fatigue through intelligent, data-driven alerting and customizable escalation pathways.
Override Rate Data
Specific data regarding override rates for clinical decisions made using the WAVE Clinical Platform is not explicitly detailed in the provided information.
Differential Diagnosis Support
Differential diagnosis support is not a primary feature of the WAVE Clinical Platform. (Note: 'Wave Medical' is a different entity that offers a differential diagnosis generator.)
Guideline Update Frequency
The frequency of updates for the Visensia Safety Index algorithm or associated clinical guidelines within the WAVE Clinical Platform is not explicitly detailed in the available information.
Clinical Workflow Integration
The WAVE Clinical Platform is a vendor-agnostic solution designed to route, store, and display data, alarms, results, and diagnostic information from various medical devices, EHRs, and Clinical Information Systems (CIS). It supports the distribution of clinical data and can send alerts to hospital workstations, mobile devices, and directly into electronic medical records. The platform has an existing partnership for tight integration with Epic Systems.
Physician Tip

The WAVE Clinical Platform serves as an 'always-on' remote monitoring system, providing early warnings of patient deterioration up to six hours in advance. This allows rapid response teams to intervene proactively, potentially preventing unexpected deaths. It functions as a 'team tool' with an escalation policy, ensuring all relevant staff are notified. The system aims to streamline data acquisition, documentation, and visualization, helping to cut through the chaos of patient data.

The platform is designed for comprehensive medical device integration (MDI), offering a single, vendor-agnostic solution to connect ancillary devices to the EHR. It routes and forwards data to third-party systems and has a notable partnership with Epic Systems for enhanced integration. It can utilize existing hospital networks and hardware for installation and display on web-enabled devices.

Details

Category Clinical Decision Support & Reference, Triage & ER/ICU AI
Pricing Contact for pricing
DeploymentSoftware platform, leverages existing hospital IT infrastructure, client-server architecture, web-enabled devices.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

The WAVE Clinical Platform received FDA clearance (K171056) on January 4, 2018, as the first FDA-cleared patient surveillance system. It is cleared for marketing as an always-on remote monitoring platform that displays near real-time clinical views of physiologic and medically relevant data, and utilizes predictive algorithms like the Visensia Safety Index to provide early warning of patient deterioration.
Integrations
EHR Not specified
Specialties Critical Care, Emergency Medicine, Hospital Medicine

What the Web Says

The WAVE Clinical Platform, also known as Review Wave and Wave Health, is a patient engagement and communication software primarily used by small to medium-sized healthcare practices. It aims to streamline patient communication, appointment scheduling, and reputation management through automated reminders, two-way texting, and online review generation. The platform has also been recognized for its use in clinical trial settings for remote symptom monitoring and patient-provider communication, with high patient compliance and perceived usefulness by healthcare professionals.

Overall: Positive

Strengths

  • Improved patient communication through two-way texting and automated reminders.
  • Increased patient compliance and satisfaction.
  • Streamlined appointment scheduling and reduced no-shows.
  • Effective for generating online reviews and managing practice reputation.
  • User-friendly interface and easy to use.
  • Good customer support, often described as fast, friendly, and helpful.

Limitations

  • Can be expensive compared to alternatives.
  • Occasional disconnections with existing EHR software.
  • Email editor is considered archaic and lacks features like test messages.
  • Some users report issues with appointment reminders not always going out.
  • Cancellation contracts can be problematic with high fees.
  • Dynamic forms can be tedious to set up.

Based on reviews from: Capterra, G2, Reddit, Health Data Management, USA Daily Chronicles, Becker's Hospital Review, PR Newswire, Indeed.com

Last updated: 2026-07-18

Ratings & Reviews

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Press & Coverage

Health Data Management
FDA approves clinical platform that predicts patient deterioration
The FDA has approved Excel Medical's WAVE Clinical Platform, an early warning system that uses a predictive algorithm to alert hospital staff of patient deterioration up to six hours in advance. This is the first FDA-clecleared patient deterioration predictive algorithm for acute care hospitals.
2018-01
Gizmodo
FDA Approves Crisis-Predicting Algorithm to Save Hospital Patients From Early Death
The FDA has approved the WAVE Clinical Platform, an algorithm-based system from Excel Medical that monitors patient vitals and sends alerts up to six hours before a potentially fatal event. This marks the first FDA approval for such a predictive algorithm.
2018-01
Digital Trends
FDA approves algorithm that predicts sudden patient deaths to help prevent them
Excel Medical's Wave Clinical Platform, an algorithm that monitors patient vital signs to predict and prevent sudden patient deaths, has received FDA approval. The system can send alerts up to six hours before a critical event.
2018-01
Labroots
A Monitoring Device That Could Predict Unexpected Death
The FDA has approved the WAVE Clinical Platform from Excel Medical, a device that uses algorithms based on patient vital signs to predict fatal medical events up to six hours before they occur. Clinical trials showed zero unexpected deaths in the group using the system compared to six in the control group.
2018-01
PMC (PubMed Central)
Regulation of predictive analytics in medicine: Algorithms must meet regulatory standards of clinical benefit
In early 2018, the FDA provided premarket clearance for the WAVE Clinical Platform, an early-warning system that integrates real-time vital sign data to identify hospitalized patients at risk of vital sign instability. This was the first predictive surveillance platform to receive FDA clearance for clinical practice.
2019-02
Becker's Hospital Review
FDA greenlights predictive algorithm system for sudden patient deaths
The FDA cleared Excel Medical's Wave Clinical Platform, a patient surveillance and predictive algorithm system, on January 8, 2018. The platform monitors vital signs and predicts sudden patient deaths, sending alerts up to six hours in advance.
2018-01
OBS Medical
OBS Medical celebrates the announcement of Excel Medical's successful FDA clearance for their next generation clinical decision support platform - WAVE featuring Visensia
OBS Medical announced Excel Medical's successful FDA clearance for the WAVE Clinical Platform, which integrates Visensiau00ae for advanced prediction and prevention of patient deterioration. The platform combines five vital signs to generate an early-warning index.
2018-01
PR Newswire
Arkansas Children's Selects Excel Medical for Device Integration into Epic
Arkansas Children's expanded its relationship with Excel Medical to implement its medical device integration (MDI) solution, including the WAVE Clinical Platform, across the hospital. This integration aims to improve workflow automation and provide near real-time patient data access within Epic's EHR.
2019-04

Videos

Product demos, reviews, and walkthroughs for WAVE Clinical Platform.

View all on YouTube

Frequently Asked Questions

The WAVE Clinical Platform integrates with existing medical devices, Electronic Health Records (EHRs), and clinical information systems to provide near real-time patient data, waveforms, and alarms. It utilizes predictive algorithms, such as the FDA-cleared Visensia Safety Index, to offer early warnings of patient deterioration up to six hours in advance, thereby supplementing your clinical judgment and enabling timely interventions.
The Excel Medical WAVE Clinical Platform is FDA-cleared, signifying it meets specific regulatory standards for medical devices designed to handle patient data. It is intended to securely route, store, and display physiological and medically relevant data, and healthcare providers must ensure their overall use of the platform aligns with HIPAA requirements for data privacy and security.
While direct competitors offering identical predictive algorithms may vary, general alternatives for clinical decision support and patient monitoring include other remote patient monitoring (RPM) platforms, various EHR-integrated decision support tools, and specialized care coordination platforms. These systems often focus on different aspects, such as patient engagement, chronic disease management, or broader practice management.
Specific pricing for the Excel Medical WAVE Clinical Platform is not publicly disclosed, as it is generally an enterprise-level solution. Costs are typically influenced by factors such as the size of the healthcare facility, the number of beds or patients being monitored, the scope of integration required with existing IT infrastructure, and the specific modules or predictive analytics implemented.
The WAVE Clinical Platform is designed to supplement, not replace, existing monitoring or electronic data management systems, and should not be considered the sole source of alarms. Potential challenges include ensuring seamless integration with a diverse range of existing medical devices and EHRs, and the necessity for comprehensive staff training to effectively utilize its advanced predictive insights.
The Wave Health platform offers a patient app, analytics engine, and HCP portal designed to facilitate patient engagement and remote monitoring, particularly for chronic conditions like cancer. It empowers patients to track their health, receive medication reminders, and provides actionable insights that have shown to improve patient compliance and overall quality of life.
Physicians retain the sole responsibility for providing accurate healthcare advice and for thoroughly reviewing all patient data, including information presented by the platform. The WAVE Clinical Platform acts as a tool to display and analyze data, but it does not interpret or draw clinical conclusions, requiring clinicians to exercise their independent professional judgment.

Compare WAVE Clinical Platform

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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