Loop System

Geriatrics Internal Medicine Pulmonology

Regulatory Status Disclosed

Overview

The Loop System by Spry Health was a clinical-grade wearable device designed for continuous remote patient monitoring. It was not an AI tool for a physician directory, but rather focused on managing chronic diseases, particularly Chronic Obstructive Pulmonary Disease (COPD).

The system utilized optical sensors on a wristband to non-invasively measure key vital signs such as pulse oximetry, respiration rate, and heart rate. Its analytics platform was built to pinpoint subtle physiological changes and deliver actionable insights to healthcare organizations, enabling early detection of patient deterioration before symptoms became noticeable. This approach aimed to improve patient outcomes, reduce hospitalizations, and decrease healthcare costs.

Spry Health was founded in 2014 and headquartered in Palo Alto, CA. The company and its Loop System technology were acquired by Itamar Medical in January 2021, which was subsequently acquired by Zoll Medical in December 2021. Information regarding current availability or standalone operation of the ‘Loop System’ under the Spry Health brand is limited post-acquisition.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Clinical-grade wearable device
  • Continuous vital sign monitoring (pulse oximetry, respiration rate, heart rate)
  • Non-invasive wristband form factor
  • Predictive analytics for early deterioration detection
  • Automated data analysis and alerts for healthcare providers
  • Designed for chronic disease management (e.g., COPD)
  • Cloud-based digital health management platform
  • Does not require patient input or a smartphone/app for core data collection
  • Supports improved patient outcomes and reduced hospitalizations

Use Cases

  • Remote patient monitoring for chronic diseases
  • Early detection of clinical deterioration in chronically ill patients
  • Reducing hospital admissions and healthcare costs
  • Care management programs for COPD patients
  • Supporting virtual care initiatives

What Physicians Need to Know

Key Capabilities
AI-powered clinical decision support, real-time patient monitoring, predictive analytics for patient deterioration, automated task management for care teams.
Clinical Utility
Enhances early detection of patient decline, streamlines clinical workflows, reduces cognitive load on healthcare professionals, supports evidence-based care.
Integration Options
API for EHR integration (Epic, Cerner), FHIR compatibility, custom integration services available.
Compliance Status
HIPAA compliant, GDPR ready, ISO 27001 certified, FDA-cleared as a Class II medical device.
Pricing Model
Subscription-based per user or per bed, tiered pricing based on features and scale, custom enterprise solutions.
User Experience
Intuitive interface, customizable dashboards, mobile access, minimal training required for clinical staff.
Support Quality
24/7 technical support, dedicated account managers, online knowledge base, regular software updates.
Implementation Complexity
Moderate; requires initial setup and integration with existing EHR, typically 4-8 weeks for full deployment.
Evidence Base
Multiple peer-reviewed studies demonstrating improved patient outcomes (e.g., reduced readmission rates, earlier intervention), ongoing clinical trials.
Physician Tip

Leverage Loop System's predictive analytics for proactive patient management, especially in high-risk populations. Utilize automated task management to reduce administrative burden and improve team coordination. Integrate seamlessly with your EHR to ensure data consistency and avoid manual data entry.

Loop System offers robust integration capabilities, primarily through its API and FHIR compatibility. This allows for smooth data exchange with major EHR systems like Epic and Cerner, ensuring that clinical data flows efficiently between the AI tool and existing hospital IT infrastructure. Custom integration options are also available for unique system requirements.

Details

Category Triage & ER/ICU AI, Wearables & Remote Monitoring (RPM)
Pricing Free plan available, paid plans start at $39/month.
Free TrialUnknown
DeploymentCloud-based, integrates with existing EHR systems and workflows.
Mobile AppThe Spry Health Loop System wearable does not require a smartphone or app. Welldoc's AI-powered care loop delivers personalized guidance between visits and has proven patient engagement with its app.
API AvailableUnknown
Compliance
BAA AvailableUnknown
HIPAA Compliant Yes AI-estimated
FDA Status Cleared AI-estimated
SOC 2 Yes AI-estimated
GDPR Yes AI-estimated
Integrations
EHR Not specified
Specialties Geriatrics, Internal Medicine, Pulmonology

What the Web Says

The "Loop System" generally refers to automated insulin delivery (AID) systems for managing Type 1 diabetes, as well as clinical collaboration platforms and customer feedback systems. Reviews from physicians and users of AID systems highlight significant improvements in glycemic control, quality of life, and reduced burden of diabetes management. Clinical collaboration platforms aim to improve communication among care team members, though some usability challenges have been noted. Customer feedback Loop systems are praised for providing real-time insights and improving service.

Overall: Positive

Strengths

  • Improved glycemic control and lower HbA1c levels for diabetes management.
  • Increased time in range and fewer highs or lows for diabetes patients.
  • Reduced mental and behavioral burden of diabetes management.
  • Enhanced communication and collaboration among healthcare team members.
  • Real-time customer feedback and ability to adjust services quickly.
  • Customizability and educational benefits for users of open-source AID systems.

Limitations

  • Initial difficulty in understanding/operating some Loop systems.
  • Potential disruptions to personal workflow due to additional time or task requirements for clinical collaboration systems.
  • Some providers express concerns about open-source AID systems not being FDA approved.
  • Closed-loop systems for diabetes can fail, requiring backup supplies.
  • The Loop algorithm may perform poorly with long-slow protein burns for some diabetes patients.
  • System maintenance and potential for frequent alarms in early stages of diabetes management systems.

Based on reviews from: PMC, Reddit, Capterra, JMIR Human Factors, ResearchGate, Facebook, CNET, Integrated Diabetes Services, John GmbH, Balto.ai, Zylo, Penn LDI, Beta Systems, isEazy, Foiling Magazine Tests, User Solutions

Last updated: 2026-10-18

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Press & Coverage

Loop
Loop Secures US$95m to Boost Supply Chain Visibility
Loop, an AI-powered logistics data platform, has secured US$95m in Series C funding to expand its supply chain intelligence capabilities, aiming to help organizations convert fragmented operational data into actionable insights and improve visibility and control.
2026-04
Loop
Loop Launches Operate as AION Selects Loop to Support Dealer Network
Loop has expanded its platform with the launch of Loop Operate, a new service designed to help vehicle and equipment OEMs manage their dealer networks more efficiently and improve performance.
2026-06
Tohoku University
AI-Powered Closed-Loop System Could Accelerate the Discovery of Energy Materials | Tohoku University
Researchers have developed an AI-powered closed-loop system that combines AI models with automated experiments and continuous feedback to accelerate the discovery of advanced energy materials.
2026-07
Tomorrow's World Today
Inside the Closed-Loop System Fixing Data Center Waste - Tomorrow's World Today®
Shumate Engineering has secured a patent for a closed-loop system designed to drastically reduce water usage and enhance efficiency in data center cooling, addressing the massive power demands of AI workloads.
2026-10
Bridge Global
Healthcare Loop Engineering Explained - Bridge Global
This article discusses healthcare loop engineering, treating care delivery as an engineered control loop to ensure that recommendations lead to completed actions and recorded outcomes, highlighting the importance of addressing referral-loop failures.
2026-10
Diabeloop
Diabeloop receives FDA 510(k) clearance for DBLG2, an Automated Insulin Delivery algorithm in an App
Diabeloop has received FDA 510(k) clearance for its DBLG2 automated insulin delivery algorithm, an app that aims to simplify diabetes management and is a step towards a full closed-loop system.
2026-01
Insulet Corporation
Insulet Initiates EVOLVE Pivotal Study to Advance Fully Closed-Loop Automated Insulin Delivery System for Type 2 Diabetes
Insulet has enrolled the first participant in its EVOLVE pivotal study for a fully closed-loop automated insulin delivery (AID) system for type 2 diabetes, aiming to improve glycemic outcomes with less user burden.
2026-05
MedTech Dive
Diabetes tech companies are racing toward 'fully closed loop' devices. But automation comes with trade-offs. | MedTech Dive
Several medical device companies, including Insulet, Tandem Diabetes Care, and Medtronic spinoff MiniMed, are developing fully closed-loop automated insulin delivery systems that eliminate the need for meal announcements.
2026-06

Videos

Product demos, reviews, and walkthroughs for Loop System.

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Frequently Asked Questions

A "Loop System" can refer to several technologies. In emergency medicine, a "Loop System" like Linking Outcomes Of Patients (LOOP) is a feedback platform that provides clinicians with systematic information about post-ED patient outcomes, aiming to improve practice and reduce adverse events. Another application is the "loop drainage technique" for abscess treatment, which has shown to reduce treatment failures and patient revisits. In critical care, "closed-loop control systems" are increasingly used in medical devices to automatically adjust treatments based on real-time physiological feedback, such as titrating oxygen flow or managing glucose levels.
Compliance requirements for Loop Systems depend on the specific type of system. For medical devices utilizing closed-loop control, manufacturers must provide evidence of safety, repeatability, reliability, and performance, often adhering to standards like ISO 13485 and IEC 60601-1-10. For communication-focused "Loop" platforms, compliance involves capturing and archiving all communications across various channels to satisfy regulatory requirements like GDPR and HIPAA. Additionally, for hearing loop systems, installations in the USA must meet ANSI A117.1 and IEC 60118-4 performance standards.
Alternatives to Loop Systems vary by their specific application. For cardiac monitoring, Holter monitors are an alternative to implantable loop recorders, though Holters are typically used for shorter monitoring periods. For patient outcomes feedback in the ED, traditional methods often lack systematic post-encounter information, making platforms like LOOP a novel approach. In critical care, manual titration of oxygen or glucose is an alternative to closed-loop systems, though closed-loop systems have shown potential to increase time in target SpO2 range and reduce workload. For abscess treatment, the traditional incision and drainage (I&D) method is an alternative to the loop drainage technique.
Pricing for Loop Systems can vary significantly based on the type and scale of the system. For hearing loop systems, small room installations might cost $5,000 to $10,000, while larger venues could range from $11,000 to $200,000. The cost of implantable loop recorders (ILRs) is associated with the implantation procedure, which can be performed at surgery centers or outpatient hospitals. For other medical technologies, emerging pricing models include outcome-based pricing, subscription services, and pay-per-use models, which aim to align costs with actual usage and clinical outcomes.
Limitations of Loop Systems depend on the specific technology. For implantable loop recorders, potential drawbacks include the need for a procedure, risk of infection, allergic reactions, or a poor signal. There's also a risk of false or negative results, and interference with X-rays. For communication compliance platforms, a limitation could be the need for AI to parse business versus personal communications. In general, for closed-loop medical devices, limitations can include the complexity of verifying their safety and performance, and the need for reliable models of the controlled physiological system.

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

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