The xCures platform accepts all types of structured and unstructured medical records, preparing them for further interrogation and interaction by cleaning, de-duplicating, classifying, and enriching them with metadata. 

xCures’ verified extraction process produces a standardized, comprehensive clinical record for each patient. Every data element is traceable to its source document.

The AI-ready output is available through the xCures Platform UI, standard REST API integrations, and via flexible export and sync options.

Within the xCures Platform interface, users can access configurable patient checklists, find records or documents of interest, review patient medical histories, as well as cohort and summary data.

The xCures platform delivers decision-ready intelligence that accelerates clinical insights and reduces the operational burden of working with complex medical records. 

xCures® operates an AI-assisted healthcare data platform that reduces the operational burden of working with complex medical records.

The platform accepts structured and unstructured medical records gathered across multiple sources (QHIN, Carequality, TEFCA’s IAS, client-owned data, and legacy systems).

After ingestion, the platform prepares the records for further interrogation and interaction by cleaning, de-duplicating, classifying, standardizing, and enriching them with metadata. 

xCures’ validated information-extraction methods can produce decision-ready intelligence about each patient.

The output is seamlessly delivered to client tools and workflows through the xCures Platform UI, standard REST API integrations, and via flexible export and sync options.

The platform is designed for speed and flexibility, so users can: 

• Access configurable patient checklists
• Easily find records or documents of interest
• Review patient medical histories
• Access cohort and summary data

With every data element linked to its source document, users can always trust and verify the output.

The platform serves as a semantic layer for healthcare data: built for interoperability, grounded in verifiable sources, and designed to present the right information to the right person at the right time. 

Turn data into decisions with healthcare’s first and only streaming platform for personal health data. With connections to more than 550 unique devices, Validic helps you access and manage your population’s health data, personalizing care and ensuring you trigger the right insights to support the right actions.

Validic is a digital health and personalized care company. With the world’s largest health IoT platform and EHR-embedded remote care application, we help care teams give every patient tailored interventions and personalized care, improving healthcare efficiency and delivery, and empowering patients to play an active role in their health and well-being.

xCures is a leader in clinical information extraction. This is what sets us apart:

• xCures has been using AI to extract information from medical records since 2018
• All data extraction models are validated, and clients receive contextual performance metrics
• Easy-to-use, customizable checklists that display extracted data elements, linked to their source documents.
• The xCures Platform allows for rapid reconfiguration without long development cycles
• Extracted data elements can be easily incorporated into existing workflows
• xCures does not take data rights

Validic's health IoT platform streams remotely captured personal health data and embeds it within the EHR. Discrete data is written to EHR flowsheets.

Use the most complete health data available to make better clinical decisions

With a single connection to the Validic® Inform health IoT platform, organizations can access data from 540+ home health and wearable devices. We maintain the business relationships, technical updates, and ongoing support — including vendor agreements, third-party terms and conditions, bugs, and compliance with industry regulations and standards.

Personalized, timely interventions with high-frequency data access

Validic’s advanced streaming capabilities provide the most efficient means to integrate continuous, near real-time personal health data from home health devices. High-frequency provides access to activity, heart rate, and blood glucose data at a rate up to one reading per minute.

Flexible, scalable, integrated

Using simplified data context, metrics, and reporting features, we intentionally built our proprietary data model and standardization process to scale and seamlessly integrate into any system. We standardize the endpoints to ensure data integrity and security in storage and in transit. Our platform architecture provides unlimited potential for personalization and customization with published APIs and SDKs that support future device and data type integrations.

Manage by exception

With configurable rules, care teams can track and manage their patients’ engagement, outcomes, and program adherence with automated triggers and notifications. Rather than monitoring constant streams of data or sifting through aggregated insights, elevate the data that requires attention and use rules to trigger actions based on the data delivered. Clinicians choose how to display, analyze and act upon insights while our solution works entirely “behind the scenes.”

Validic offers the largest device-agnostic platform for personal health data. With one API connection, your organization gains access to secure, standardized data from more than 550 unique personal health devices — the broadest selection available on the market. As the only streaming platform for personal health data, Validic offers healthcare the next-generation tools for integrating continuous and aggregated data. With a simplified data retrieval process and expanded data model, Validic provides the most efficient means of ingesting near real-time personal health data without the need for additional IT resources. With insight from continuous monitoring devices, clinicians can help patients stay on track and make the right lifestyle choices to accomplish their goals.