ROOK API

by ROOK  · Based in United States →An API for Wearable and Health Data Integration
Cardiology Endocrinology Internal Medicine

Starts around $99/month, with additional feature add-ons that can increase monthly costs to $499+.
Documentation Provided

Overview

ROOK API offers a robust solution for healthcare developers and organizations looking to integrate health and wellness data from a multitude of wearable devices. Recognizing the fragmentation in the wearable device ecosystem, ROOK provides a single, unified API that abstracts away the complexities of connecting to various device manufacturers and data formats. This allows developers to focus on building innovative healthcare applications without expending significant resources on data acquisition and normalization.

For physicians and healthcare providers, this means that patient-generated health data (PGHD) from wearables can be more easily incorporated into clinical workflows and AI-driven insights. The API standardizes data from different sources, making it readily usable for AI algorithms, research, and personalized patient care. This capability is crucial for advancing remote patient monitoring, preventive medicine, and chronic disease management programs.

The platform is designed with scalability and data integrity in mind, ensuring reliable and secure access to valuable health metrics. By simplifying the integration of wearable data, ROOK API empowers the creation of next-generation digital health tools that can provide a more holistic view of patient health, support data-driven clinical decisions, and enhance patient engagement through personalized feedback and interventions.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Unified API for multiple wearables
  • Data standardization and normalization
  • Real-time data access
  • Secure data handling
  • Scalable infrastructure
  • Developer-friendly documentation
  • Health data insights
  • Privacy-by-design architecture

Use Cases

  • Remote patient monitoring (RPM)
  • Digital therapeutics development
  • Personalized health coaching platforms
  • Clinical research leveraging wearable data
  • AI-powered diagnostic and predictive tools
  • Wellness program integration

What Physicians Need to Know

Evidence Base
ROOK's core function is to aggregate, standardize, and deliver health data from various sources, including over 400 wearables, sensors, glucose monitors, smartwatches, fitness apps, EHRs, patient portals, and health networks. This data is processed through harmonization, standardization, cleaning, normalization, and structuring to ensure high quality and consistency. The platform supports clinical decision support by turning fragmented medical records and device readings into clean, structured data that can support care teams, alerts, and AI-driven insights. ROOK also offers a proprietary scoring system, ROOKScore, to enhance user engagement and health insights, which assesses users' health by analyzing collected data. Additionally, ROOK's AI and machine learning capabilities analyze health data to deliver personalized recommendations, evaluate overall wellness, identify areas for improvement, detect health risks, and suggest preventative actions.
Clinical Validation Studies
While ROOK focuses on providing clean, standardized health data for various applications, including clinical decision support, specific details about ROOK's own clinical validation studies for its decision support capabilities are not explicitly highlighted. However, the platform is designed to support clinical workflows, remote monitoring, and chronic care delivery with built-in data validation checks and audit trails, aiming for regulated-grade reliability. It also supports clinical research by enabling digital data collection for decentralized studies.
Alert Fatigue Management
ROOK's platform offers a 'Notification Webhook' add-on that provides real-time updates on user activity and integration events. This allows for actionable alerts, enabling monitoring, troubleshooting, and optimization. For general system outages, third-party services like IsDown monitor ROOK and its components, allowing users to filter notifications by service, component, or severity to avoid alert fatigue.
Override Rate Data
Information regarding override rate data for clinical decision support generated by ROOK is not explicitly available in the provided search results.
Drug Interaction Checking
The ROOK API primarily focuses on integrating and standardizing health data from wearables, medical devices, and EHRs, including medications and allergies. While it provides a unified healthcare schema for clinical data, specific features for drug interaction checking are not highlighted as a core offering of the ROOK API itself.
Differential Diagnosis Support
ROOK's primary function is to provide clean, structured health data to support care teams and AI-driven insights. While this data can be foundational for advanced diagnostic tools, ROOK itself is not explicitly described as providing differential diagnosis support. Its role is more in enabling other applications and AI to leverage comprehensive health data for such purposes.
Guideline Update Frequency
ROOK focuses on the integration and standardization of health data. The platform itself does not appear to directly manage or update clinical guidelines. However, its 'Clinical Ready Beta' add-on delivers FHIR Bundles with mapped LOINC codes for relevant metrics, which could be used in systems that do manage and update guidelines.
Clinical Workflow Integration
ROOK is designed for seamless integration into clinical workflows. The Medical Records API retrieves and standardizes clinical data from EHRs, patient portals, and health networks, supporting longitudinal health profiles, intake automation, and personalized care workflows. The Medical Device API similarly ingests and normalizes data from regulated medical devices, supporting remote monitoring and chronic care workflows. ROOK Connect, an EHR-integrated platform, allows for customizable tools, forms, processes, dashboards, reporting, and communication channels, aiming to increase operational efficiency and reduce administrative burden. Data is delivered via secure REST API with structured responses and webhooks for real-time updates.
Decision Audit Trail
ROOK emphasizes reliable clinical data access with built-in data validation, source traceability, and audit-ready records to support clinical workflows. The Medical Device API also includes built-in validation checks and audit trails to support clinical workflows, RPM programs, and chronic-care delivery. For data processing, updated summaries are versioned for traceability using a 'document_version' key. Additionally, ROOK Connect offers automated policy enforcement and audit logging as part of its compliance automation and regulatory tracking features. In the context of AI and wearable data for pharma, ROOK's capabilities can help in maintaining audit trails for AI systems.
Data Cleaning and Prioritization
ROOK employs a robust data processing pipeline including harmonization, standardization, cleaning, normalization, and structuring. The cleaning phase involves strict source prioritization rules, where wearable device data takes precedence over SDK extractions and health kits. Rules for data prioritization include retaining non-null values from lower-priority sources over null values from higher-priority sources, and for specific metrics like steps and calories, the highest value is retained. Event processing merges or prioritizes events from multiple sources within a u00b110-minute window, discarding redundant events.
Historical Data Retrieval
The 'Pre-Existing Data' add-on automatically retrieves historical health records upon initial user connection. This includes up to 7 days of data for API-based sources and up to 29 days for mobile-based sources via SDKs. This enables immediate analysis, scoring, and engagement.
Physician Tip

ROOK API excels at aggregating and standardizing diverse health data from numerous sources, including wearables, medical devices, and EHRs. This provides a clean, unified dataset crucial for robust clinical decision support. Physicians should be aware that while ROOK provides the foundational data and supports AI-driven insights, the direct clinical decision support logic (e.g., specific diagnostic algorithms or treatment recommendations) would likely be built on top of the ROOK API by integrated applications. Leverage the 'Notification Webhook' for real-time alerts on patient data changes, and utilize the 'Pre-Existing Data' add-on for immediate access to patient history upon onboarding. The audit trail features ensure data reliability and traceability for clinical and regulatory needs.

ROOK offers a single API and SDK for integrating health data from over 400 wearables, sensors, glucose monitors, smartwatches, fitness apps, EHRs, patient portals, and health networks. It simplifies complex integrations by standardizing fragmented data into a unified healthcare schema. ROOK supports both API-based and SDK-based integrations, with SDKs for Android (Health Connect) and iOS (Apple Health). Data is delivered via secure REST API and webhooks for real-time updates. The platform is HIPAA and GDPR compliant, ensuring secure and private handling of health data. ROOK also offers add-ons for granular data extraction, notification webhooks, and historical data retrieval to customize integration architecture. It is designed to integrate with EHRs, data lakes, and other clinical applications.

Details

Category Clinical Decision Support & Reference, Developer Tools & APIs, Wearables & Remote Monitoring (RPM)
Pricing Starts around $99/month, with additional feature add-ons that can increase monthly costs to $499+.
  • ROOK offers flexible, usage-based pricing, often by active user or active patient
  • The price point per unit varies between fitness/wellness settings and pharma settings due to the perceived value of the data
  • A core tier starts around $99/month, but additional feature add-ons can push monthly costs to $499+ for functionality that competitors might include by default
  • Enterprise solutions typically require sales conversations, minimum contract values, and implementation services that can add $10,000-$50,000 to initial costs
  • Premium support can increase expenses by 10-20%, and custom integrations cost $5,000-$25,000 each
  • The ROOK Extraction App is an add-on product for select ROOK plans
DeploymentCloud-based API with SDKs for mobile (Apple Health, Health Connect) and a mobile extraction app.
Mobile AppYes
API AvailableUnknown
Data ExportUnknown
Compliance
BAA AvailableUnknown AI-estimated
HIPAA Compliant Yes AI-estimated
FDA Status Unknown AI-estimated

ROOK's API itself does not appear to have FDA clearance. However, the company notes that the FDA has approved wearable data for use as medical records and some wearables as medical devices. ROOK Quality Systems assists companies with device classification for FDA clearance.

SOC 2 Yes AI-estimated
GDPR Yes AI-estimated
Integrations
EHR Not specified
Specialties Cardiology, Endocrinology, Internal Medicine

Social Proof

Customersunknown
Notable
unknown

What the Web Says

Rook API, from Rook Health, generally receives positive to mixed reviews, particularly for its focus on passive health data collection and integration. Reviewers appreciate its potential to provide a more holistic view of patient health without active input, but some express concerns about data privacy, security, and the complexity of integrating with existing healthcare systems.

Overall: Mixed

Strengths

  • Passive and continuous health data collection
  • Potential for deeper patient insights beyond active input
  • Focus on metabolic health and activity data
  • Aims to simplify data integration for developers
  • Supports a wide range of wearables and health devices
  • Enables personalized health interventions

Limitations

  • Concerns about data privacy and security of sensitive health information
  • Potential complexity in integrating with diverse EHR systems
  • Reliance on user adoption of connected devices
  • Accuracy and reliability of passively collected data can vary
  • Limited public physician reviews available
  • Potential for data overload if not properly managed

Based on reviews from: Rook Health Website, TechCrunch, Healthcare IT News, Reddit (general discussions on health APIs), Developer forums and blogs, G2 (limited direct reviews for Rook API specifically)

Last updated: 2026-08-24

Ratings & Reviews

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Ease of Use
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Support & Docs
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Press & Coverage

Athletech News
ROOK's Wearable API Enables Fitness to Show Tangible Results Tying Healthcare in with Insurance - Athletech News
ROOK's API is bridging the gap between insurance, healthcare, and fitness by integrating wearable data, allowing for personalized underwriting, incentive programs, and remote monitoring. The article highlights the growing wearable technology market and ROOK's role in enabling these industries to leverage health data for improved outcomes and incentivized healthier lifestyles.
2024-11
Club Industry
Harnessing the Power of Data: ROOK's Game-Changing Wearables Integration
This article discusses how ROOK's API integration allows businesses to utilize wearable data from over 300 devices to gain actionable insights and predictions, emphasizing the company's focus on preventative and predictive healthcare. It also mentions the upcoming Health Score 2.0, which will incorporate 22 different metrics.
2024-09
PR Newswire
Advanta Health Partners with ROOK to Expand Biomarker Insights and Data-Driven Capabilities within its ActiveFit+ Platform - PR Newswire
Advanta Health Solutions announced a partnership with ROOK to integrate health metrics from hundreds of wearables into its ActiveFit+ platform, providing more meaningful health metrics and recommendations. This collaboration aims to meet the increasing market demand for data-centric wellness solutions.
2023-11
ROOK Blog
Health Kits vs. ROOK's Wearable and Health Data API: Revolutionizing Health Data Integration u2014 ROOK
This blog post from ROOK discusses the limitations of basic health kits like Google Fit and Apple Health, positioning ROOK's API as a solution for standardizing, harmonizing, and normalizing wearable and biomarker data from diverse sources. It highlights ROOK's ability to provide a more complete and structured approach to health data integration.
2023-09
Business Wire
RookMotion Raises $1.7M in Pre-Seed Funding to Empower Companies With More Actionable Health Data, Rebrands to ROOK - Business Wire
ROOK (formerly RookMotion) announced a $1.7M pre-seed funding round to enhance its platform for connecting companies with actionable health data from wearables. The rebrand signifies a shift to a B2B SaaS focus, expanding beyond fitness into healthcare, insurance, and wellness.
2023-03
ROOK Blog
Rebranding Announcement: RookMotion is Now ROOK
This announcement details the rebranding of RookMotion to ROOK, emphasizing the company's evolution from a fitness-focused hardware company to a B2B SaaS platform. The rebrand highlights their API's capability to aggregate and transform health data from over 300 wearables.
2023-03
PMC (PubMed Central)
Device and Data Access Considerations for Digital Health Studies Using Consumeru2010Grade Wearables: An Experienceu2010Based Tutorial - PMC
This peer-reviewed article mentions ROOK API as an example of a wearable health API that provides a single interface for a wide range of wearables, supporting almost all devices and quickly integrating new ones. It notes these products are best suited for live software applications and technology companies.
2026-08
ROOK Blog
Wearable Data in Insurance: In-house vs. Third-Party Solutions - ROOK
This article discusses the benefits of using third-party solutions like ROOK's API for wearable data integration in the insurance industry, highlighting faster implementation, cost efficiency, and regulatory compliance. ROOK's API provides standardized health insights for improved underwriting and claims optimization.
2026-02

Videos

Product demos, reviews, and walkthroughs for ROOK API.

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Frequently Asked Questions

The ROOK API is a tool designed to integrate various health data points, such as patient-generated health data (PGHD) from wearables and other devices, into a unified platform. For physicians, this means having a more comprehensive view of a patient's health trends and daily activities, which can inform clinical decisions by providing additional context beyond episodic clinic visits.
The ROOK API is built with a strong emphasis on data security and privacy, adhering to regulations such as HIPAA. It employs robust encryption, access controls, and data anonymization techniques to protect sensitive patient information, ensuring that data is handled in a compliant and secure manner.
While powerful, potential limitations include the variability in data quality from different devices, the need for proper interpretation of raw data, and the potential for information overload. Physicians would need to consider how to integrate this data effectively into their existing workflows and avoid over-reliance on automated insights without clinical correlation.
Yes, there are several alternatives, including other health data aggregation platforms and direct integrations with specific device manufacturers' APIs. The best alternative depends on your specific needs, the types of devices your patients use, and your existing electronic health record (EHR) system's capabilities.
Pricing for the ROOK API often follows a subscription model, which can vary based on the volume of data processed, the number of active users, or the specific features required. Practices should consider these costs in their budget, weighing them against the potential benefits of improved patient monitoring and clinical insights.
The ROOK API is designed for flexible integration and often offers SDKs and APIs to facilitate connections with various EHR systems. The ease and depth of integration can depend on your specific EHR's architecture and the level of customization supported by both the ROOK API and your EHR vendor.
ROOK typically provides comprehensive documentation, including API references, integration guides, and tutorials. They also offer developer support and may have dedicated resources for healthcare providers to assist with implementation and ongoing use.

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Suggest an Edit → | Last Verified: 2026-08-23 | First Added: 2026-08-23
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