Seamlessly Connect, Harmonize, and Transform healthcare data for Interoperability, Real-Time Analytics, and AI-Driven Insights
Unify, process, and analyze healthcare data at unprecedented speed and scale, enabling real-time insights and applications across your entire health ecosystem.
Streaming Ingest
p95 Query Latency
QPS
Vertically Integrated Platform
A vertically integrated, healthcare-specific, platform with built-in data normalization and harmonization. It unifies diverse data sources, streamlining workflows and enhancing decision-making for improved patient outcomes.
Unstructured Data Processing
Transform unstructured healthcare data into structured, actionable formats. Extract essential clinical and billing codes, delivering precise insights for improved management and compliance.
PHI-Free Data Processing
Automatically identify and anonymize PHI in all data types, creating secure, compliant datasets for diverse healthcare applications.
Faster Time to Market
Accelerate Digital Health Innovation
Launch your digital health solutions in record time. Our platform enables a 3X reduction in development cycles, allowing you to rapidly prototype, iterate, and deploy healthcare applications. Stay ahead of the curve and bring your innovations to patients and providers faster than ever before.
Reduction in Total Cost of Ownership
Maximize ROI in Healthcare
Significantly lower your operational costs with our efficient, scalable platform. Digital health organizations experience an average 52% reduction in total cost of ownership compared to traditional systems. Optimize your technology spend while enhancing capabilities, from data integration to advanced analytics.
Increase in Operational Efficiency
Optimize Resources for Healthcare Innovation
Dramatically improve your team's productivity and resource allocation. Our platform drives a 66% increase in operational efficiency, allowing you to do more with less. Streamline workflows, automate routine tasks, and focus your valuable resources on high-impact innovation rather than maintenance and integration challenges.
Integrate with insurance databases and payer systems to streamline billing processes, verify coverage in real-time, and reduce claim denials, improving financial efficiency.
Integrating with external EHR systems or health information exchanges (HIEs) allows healthcare providers to access complete patient medical histories, improving diagnostic accuracy and treatment planning.
Use EHR data combined with external benchmarks to monitor and report on clinical quality metrics, ensuring compliance with healthcare standards and continuous quality improvement.
Analyze billing and claims data to identify inefficiencies, reduce claim denials, and optimize revenue cycles, ensuring financial stability for healthcare institutions.
Use predictive analytics to assess the risk of adverse events, such as hospital readmissions or complications, allowing for proactive management and targeted care.
Utilize analytics to provide clinicians with insights from patient data, medical histories, and evidence-based guidelines, helping to improve diagnosis accuracy and treatment plans.
Extracts and organizes key information from unstructured clinical notes, such as diagnoses, treatment plans, and patient histories.
Extracts and standardizes data from clinical notes and diagnostic reports to automate the medical coding process, reducing errors and improving the accuracy of insurance claims.
Extracts and organizes information from legal documents, such as patient consent forms, contracts, and litigation documents, supporting legal compliance and risk management.
Automates the flow and processing of documents, such as referrals, authorizations, and patient intake forms, improving operational efficiency and reducing administrative burdens.
Implementing comprehensive security measures that verify every access request, regardless of source or location.
Providing full visibility into data movement, transformations, and usage across the entire data ecosystem.
Enabling instant data validation and processing based on predefined rules and evidence-based criteria.
Converting raw healthcare data streams (HL7, FHIR, CCDA) into
de-identified formats for risk-free application development.
Generating consumable data models with encrypted PII/PHI tokens that preserve referential integrity while ensuring data privacy.
Transforming unstructured patient documents into deidentified versions that mask identifiable information while maintaining clinical relevance.
Ensure alignment between teams to drive business outcomes
Analyzes healthcare data to derive actionable insights, develop predictive models, and support clinical and operational decision-making.
Develops and maintains software applications for healthcare settings, including patient management systems, telemedicine platforms, and clinical decision support tools.
Analyzes business processes and requirements to design solutions that improve operational efficiency and support strategic objectives.
Manages healthcare data systems, ensuring integrity, security, and accessibility. Implements data governance policies and oversees storage and recovery processes.
Guides users through healthcare data systems, providing support and training to facilitate data utilization and improve analytical workflows.
Contributes specialized knowledge in areas like medical coding, compliance, or clinical workflows to ensure solutions meet healthcare-specific requirements.
Connect, access, prepare, and improve the quality of your data to surface actionable insights and fuel AI applications.
Support creation of unique patient, provider, and resource identifier generation.
Get out- of-the-box support for data models to meet interoperability & analytic needs.
Entity Identification to convert to structured data.
Support for writing the data back to source of truth.
Support a variety of APIs; FHIR++, SQL / GrapQL, Streaming APIs, HealthAI APIs, & RAG Pipelines
Access complete visibility on data ingestion, processing, storage, and access, with lineage information available through dashboards and data contracts.
Use built in support to consume data with or without PHI, maintaining clinical integrity for easier data sharing.
Connect to a variety of input data sources (EHR, HIE, etc.) through different methods (JSON RPC, RPA, etc.) in various formats (CSV, TSV, HL7, etc.).
Data Products: Curated and reusable analytics-ready datasets or algorithms that deliver specific insights or functionalities.
With XCaliber, organizations can build data as products, leveraging the interoperability of our healthcare fabric to integrate data sets from various domains, enabling enterprise-level analytics and use cases.
Complete historical data for a patient
Either of encounter or a visit or episodic chart
Includes data for claims and the bills
Complete panel of patients for a practice
Complete directory of the providers associated with a practice
Practice level details and management of schedules
Data about the inboxes and the associated work for a provider
All the terminology data served through a data product for referencing needs
Seamlessly integrate diverse healthcare data sources into a unified patient-centric data vault, providing a comprehensive view across multiple health systems.
Ensure consistency and accuracy across diverse health data sources, enabling seamless integration and reliable analytics.
Transform raw health data into standardized formats and structures, facilitating interoperability and advanced analytics capabilities.
Future-proof your health data infrastructure with a platform that grows effortlessly alongside your organization's evolving needs and data volumes.
Consume unstructured or structured while protecting PHI to ensure compliance and data security, as well as ease of data sharing.
Streamline your healthcare operations with automated document processing for faster and more accurate data handling.