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. 

Sickbay is an FDA-cleared clinical platform providing hospitals with the only vendor-neutral, integrated patient monitoring solution in healthcare. Sickbay consolidates disparate sourced, time-sequenced patient monitoring data with an average of 25 milliseconds per patient. Sickbay drives cost-effective patient monitoring and powers analytics by providing instantaneous and persisted physiological data to clinicians, researchers, and algorithm developers. Viewing data consolidated in Sickbay on any laptop or mobile device, on wallboards, and in on-prem or remote command centers enables clinicians to deliver the best possible care to patients throughout the hospital.

Medical Informatics Corp.’s (MIC) mission is to deliver next-generation technologies to unify patient monitoring workflows for healthcare systems. MIC’s decade of innovation with its clinical platform, Sickbay, integrates over 30,000 vendor-neutral signals on two percent of hospital beds with over 10,000 clinical users in the United States. Most hospital systems lack native resolution data aggregated through a single source, instead deploying a multi-device strategy that silos data and data access time frames. The Sickbay Clinical Platform stands alone as the only FDA-cleared platform to aggregate time-series waveform data across disparate devices at native resolution. Current bedside devices delete data on average after 72 hours, while Sickbay saves the data indefinitely. Sickbay provides a portal through which care providers can review aggregated, time-synchronized data, annotate it, and collaborate to create algorithms (including ML & AI) and evaluate post-event care. Those algorithms and care models can then be reintroduced into the platform to advance care and innovation. Simply put, Sickbay provides the hospital teams their data from anywhere, anytime, to optimize workflows, analysis, and risk stratification across the patient care spectrum. The diverse team at MIC is fundamentally unlocking a blue ocean of new patient monitoring capabilities for ourselves, our partners, and our clients. MIC’s Sickbay saves lives, improves outcomes, streamlines strategy and technologies, and reduces the overall caring cost for hospital patients nationwide.

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

The EHR is intended to be a point of care reference to support billing. Traditionally, only documenting discreet vitals from patient monitoring devices at single points.

Sickbay Clinical Platform:

• captures consolidated, persistent, time-series waveform data from networked and non-networked bedside devices at its native resolution
• re-displays near real-time, time aligned signals at an average latency of <25 mSec
• integration of risk scores and analytics

Sickbay is a single, interconnected platform that is designed to support dozens of use cases, therefore competition is dependent upon the use case. In addition to the data agggregation, consolidation, and visualilzation differences referenced under EHR functionality, key differentiators in patient monitoring & virtual care include: 

• vendor neutral device integration
• web-based to support monitoring on any PC, tablet, phone or embedded EHR workflow
• flexible, modular design to enable ability to monitor 50+ patients across units, facilities, and vendors
• unlimited retrospective data, from one second to one year+, to support building and sharing of trends, CDI documentation support, quality reporting
• integration, development and deployment of near real-time risk scores and analytics into established workflows
• automated documentation of vitals, ECG strips, and event trends into the EHR