Big Data Analytics
Big Data requires a new generation of scalable solutions designed to extract insights from massive volumes of disparate, multistructured data by enabling high-velocity collection, processing, discovery, and analysis. We provide integration support for the leading Big Data solutions, including Hadoop, YARN, Spark, NoSQL and in-memory solutions. The Internet of Healthcare Things—the proliferation of mobile and wearable personal devices, connected medical devices and sensors, patient-monitoring equipment, and real-time location services—will unleash an explosion of multistructured, real-time data that will require new data integration services, Big Data solutions, and real-time applications to converge, connect, interact, and communicate more efficiently and at increased velocity.
Altarum’s Big Data advisory services help health care organizations in deploying the proper technology and processes to improve performance by linking outcomes to predefined critical success factors and key performance indicators. We offer a framework for establishing an Analytics Center of Excellence within organizations to define roles and responsibilities and coordinate activities and tasks among key stakeholders. We ensure that decisionmakers have access to timely, accurate information that provides meaningful trends and reveals hidden patterns in the data. With emphasis on statistical analysis, forecasting, optimization, and simulation, analytics provides results that are predictive and prescriptive, injecting clarity and confidence into decisionmaking and improving performance through situational awareness at all levels of the organization. A unified analytics platform also enables more advanced capabilities, such as natural language processing, machine learning, and artificial intelligence.
Fast Healthcare Interoperability Resources
Altarum’s event-driven architecture supports applications based on Fast Healthcare Interoperability Resources (FHIR), an emerging Health Level Seven (HL7) standard describing data formats and elements (known as “resources”) and an Application Programming Interface (API) for exchanging health data. FHIR uses a modern Web-based suite of API technologies, including HTTP-based RESTful and SOAP protocols for user interface integration, and supports both JSON and XML for data representation. With FHIR, it is possible to develop applications that can access and process HL7 data in real time via RESTful and SOAP APIs. FHIR facilitates interoperability across health care systems; provides critical, actionable information to clinicians and patients; and brings context to each patient encounter in real time for improved clinical decision support. FHIR also allows third-party application developers to provide medical applications which can be easily integrated into existing systems. FHIR provides an alternative to document-centric approaches by directly exposing discrete data elements as services. For example, basic elements of health care like patients, admissions, diagnostic reports, and medications can be retrieved and manipulated via their own resource URLs.