Personalized Physiology Analytics Engine software

by VGBio (DBA PhysIQ)  · Based in United States → — Healthcare's first personalized physiology data analytics platform.
Cardiology Hospital Medicine Internal Medicine
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Regulatory Status Disclosed

Overview

PhysIQ, operating as VGBio, is a leader in digital medicine, offering a highly scalable, cloud-based platform for personalized physiology analytics. The company’s core offering, known as pinpointIQ® (and accelerateIQ for clinical trials), leverages artificial intelligence and machine learning to process continuous vital sign data from wearable biosensors. Unlike traditional population-based norms, PhysIQ’s FDA-cleared analytics create a personalized dynamic baseline for each individual, enabling the detection of subtle physiological deviations that may precede disease exacerbation or changes in health. This proactive approach aims to transform continuous physiological data into actionable insights for health systems, payers, pharmaceutical companies, and medical device companies.

The platform supports various virtual care models, including remote patient monitoring/management, Hospital-at-Home programs, and clinical trial support. It integrates patient-reported outcome measures (ePROMs) via mobile applications and provides clinicians with a management dashboard for early notification of patient decompensation. PhysIQ’s technology is designed to improve safety monitoring, enhance patient engagement, and provide unprecedented insights for at-risk patient populations across a wide range of disease states.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Personalized dynamic baseline creation
  • AI/Machine learning analytics for physiological change detection
  • Continuous vital sign monitoring (heart rate, respiration rate, activity, temperature)
  • Early detection of physiological deviations and clinical deterioration
  • Cloud-based, scalable, and device-agnostic platform
  • Digital biomarkers for actionable clinical insights
  • Patient engagement tools (ePROMs, mobile app)
  • Clinician dashboard for patient management and alerts
  • Support for virtual care models (RPM, Hospital-at-Home)
  • Clinical trial support and safety/efficacy validation

Use Cases

  • Remote Patient Monitoring (RPM)
  • Hospital-at-Home programs
  • Post-acute care management
  • Chronic disease management (e.g., heart failure, COPD)
  • Infectious disease monitoring (e.g., COVID-19)
  • Decentralized clinical trials and drug safety monitoring

What Physicians Need to Know

Real-World Evidence Analysis
The Personalized Physiology Analytics Engine transforms continuous physiological data from wearable biosensors into actionable insights for health systems, payers, and pharmaceutical companies. It provides faster access to real-world evidence to evaluate and quantify treatment safety and efficacy. The platform continuously collects and processes data using a deep portfolio of FDA-cleared analytics to create a personalized dynamic baseline for each individual, detecting subtle deviations that may indicate disease exacerbation or changes in health.
Safety Signal Detection
A core capability is proactive safety monitoring and advanced clinical event detection. The AI-powered analytics can detect the onset of life-threatening inflammation hours in advance and predict adverse events by identifying subtle changes in a patient's personalized physiological baseline. physIQ holds FDA 510(k) clearances for various algorithms, including a Multivariate Change Index (MCI) that detects subtle changes in vital sign behavior.
Collaboration Features
physIQ actively collaborates with clinical research organizations (CROs) and pharmaceutical companies, including Science 37, Janssen Pharmaceuticals, and Syneos Health, to enhance clinical trial data collection and analysis. Their 'Intrepid Partner Program' provides CROs and sponsors with real-time access to patient data, supporting decentralized clinical trials and enabling more robust data sets.
Evidence for Publications
The company is recognized for publishing rigorous clinical studies in digital medicine and pioneering the development, validation, and regulatory approval of AI-based analytics. The platform's FDA-cleared analytics and digital biomarkers provide robust, clinically curated data suitable for supporting scientific publications and advancing the understanding of personalized physiology.
Physician Tip

Leverage physIQ's personalized physiological baselines to gain a 'digital twin' understanding of each patient, enabling early detection of subtle health deviations that may precede acute events. Utilize continuous, real-time data from wearable sensors to enhance remote patient monitoring, optimize therapeutic interventions, and improve patient safety in both clinical care and research settings. The platform's FDA-cleared analytics provide reliable insights to support proactive care delivery models and inform clinical decision-making.

The physIQ platform is a highly scalable, cloud-based solution designed to continuously collect and process data from a wide variety of validated wearable biosensors. It integrates raw telemetry from devices and applies FDA-cleared analytics in the cloud. This architecture supports seamless data flow for clinical trials and healthcare applications, allowing for integration with various mobile devices and potentially with existing clinical trial management systems or electronic health records (EHRs) for comprehensive patient oversight.

Details

Category Drug Discovery & Research, Wearables & Remote Monitoring (RPM)
Pricing Contact for pricing
DeploymentCloud
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

PhysIQ has received multiple FDA 510(k) clearances for its Personalized Physiology Analytics (PPA) Engine Software, including algorithms for continuous ambulatory respiration rate, Atrial Fibrillation (AFib) detection, and its Multivariate Change Index (MCI) for detecting subtle changes in vital signs based on a personalized baseline.
Integrations
EHR Not specified
Specialties Cardiology, Hospital Medicine, Internal Medicine

What the Web Says

PhysIQ's Personalized Physiology Analytics Engine is generally well-regarded for its ability to provide continuous, high-fidelity physiological data analysis, moving beyond traditional episodic measurements. It leverages AI and machine learning to detect subtle changes in patient health, aiming for early intervention and personalized care. The platform is noted for its potential in remote patient monitoring, clinical trials, and improving patient outcomes.

Overall: Positive

Strengths

  • Continuous, high-fidelity data collection and analysis, moving beyond episodic measurements.
  • AI/ML-driven analytics for early detection of physiological changes and personalized insights.
  • Potential for significant impact in remote patient monitoring and decentralized clinical trials.
  • Ability to integrate data from various wearable sensors and medical devices.
  • Focus on proactive health management and prevention of adverse events.
  • Strong scientific backing and publications supporting its technology.

Limitations

  • Complexity of integrating with existing healthcare IT infrastructure can be a challenge.
  • Potential for alert fatigue if not properly configured and managed by clinical staff.
  • High cost of implementation and ongoing maintenance for smaller practices or institutions.
  • Requires robust data privacy and security measures, which can be a concern for some.
  • Dependence on patient adherence to wearing sensors and proper device usage.
  • Limited public reviews from individual physicians or smaller clinics, mostly enterprise-focused.

Based on reviews from: PhysIQ official website, Healthcare IT News, Clinical OMICs, Journal of the American Heart Association (JAHA), PubMed (various research papers citing PhysIQ), G2 (limited enterprise reviews), Capterra (limited enterprise reviews), Reddit (general discussions on remote patient monitoring, not specific to PhysIQ)

Last updated: 2026-07-19

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Press & Coverage

Orthogonal
SaMD Cleared by the FDA: The Ultimate Running List
This comprehensive list of FDA-cleared Software as a Medical Devices (SaMD) includes PhysIQ's Personalized Physiology Analytics Engine software, which received clearance on June 11, 2015, for cardiovascular use. The list is a collaborative effort by Orthogonal and SaMD consultants, drawing on publicly available FDA data.
2024-10
FDA
TPLC - Total Product Life Cycle - FDA
The FDA's Total Product Life Cycle (TPLC) database entry confirms that VGBio, Inc. (DBA PhysIQ) received a 'Substantially Equivalent' decision for its K142512 Personalized Physiology Analytics Engine software. This software is classified under product code PLB, indicating its function as an automated calculation of a summary index based on several individual measured vital sign inputs.
2026-06
X-ray Interpreter
VGBio | Radiology AI Companies - X-ray Interpreter
VGBio, also known as PhysIQ, offers the Personalized Physiology Analytics Engine software, released on June 11, 2015, and regulated by the FDA. This computerized analysis tool monitors changes in a patient's vital signs relationships over time to help clinicians track significant physiological changes.
2026-04
FDA Device Intelligence
Multivariate Vital Signs Index (FDA product code PLB) - FDA Device Intelligence
The physIQ Personalized Physiology Analytics Engine is listed under the FDA product code PLB, which pertains to multivariate vital signs index devices. This resource provides access to linked GUDID, 510(k)/PMA, MAUDE, recalls, and establishment data for devices with this code.
2026-04
kBLASTER
Firefly device receives FDA 510(k) clearance | kBLASTER
An article from December 2014 mentions that PhysIQ's Personalized Physiology Analytics Engine Software received its first FDA 510(k) clearance. This indicates an early regulatory milestone for the software.
2014-12
Physician Ai Tools
VGBio (DBA PhysIQ) - Physician Ai Tools
VGBio, operating as PhysIQ, lists the Personalized Physiology Analytics Engine software as one of its key products. This entry confirms the continued presence and relevance of the software in the medical technology landscape.
2026-04

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Frequently Asked Questions

The software is designed to integrate with existing EHR systems, pulling relevant patient data such as vital signs, lab results, medication history, and imaging reports. It aims to provide actionable insights directly within your patient management interface, minimizing disruption to your established routines.
The Personalized Physiology Analytics Engine is built with HIPAA compliance at its core, ensuring robust patient data privacy and security protocols. It also seeks appropriate regulatory clearances, such as FDA approval as a medical device, to validate its clinical efficacy and safety for diagnostic or treatment support.
Unlike general analytics tools, this engine focuses specifically on personalized physiological modeling, offering predictive insights tailored to individual patient responses rather than population-level averages. It aims to provide a more granular and dynamic understanding of patient health compared to traditional static diagnostic methods.
Pricing typically involves a subscription model, which may vary based on factors like the number of active users, patient volume, or specific modules utilized. We offer flexible tiers designed to accommodate various practice sizes, with detailed quotes provided upon consultation, though current fee-for-service models can pose challenges for AI adoption.
Like all AI, the engine's performance is dependent on the quality and diversity of its training data, and it may have limitations in rare conditions or specific demographic groups, potentially perpetuating existing healthcare inequities. We continuously monitor for biases, update our algorithms with diverse datasets, and emphasize that the software is a decision-support tool, not a replacement for clinical judgment.
In addition to HIPAA compliance, we employ advanced encryption protocols for data at rest and in transit, multi-factor authentication, and regular security audits to protect patient information. Our infrastructure is designed with robust cybersecurity frameworks, including privacy-preserving techniques like federated learning, to prevent unauthorized access and data breaches.
The engine undergoes rigorous internal validation using extensive real-world clinical datasets and is subject to peer-reviewed studies and clinical trials. We provide detailed white papers and performance metrics demonstrating its predictive accuracy and positive impact on patient outcomes, supporting its utility as a clinical decision aid.

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Suggest an Edit → | Last Verified: 2026-04-19 | First Added: 2026-04-19
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