MarkLogic is enabling healthcare providers to aggregate and integrate all data, structured, semi-structured, and unstructured. By unifying the data, MarkLogic enables organizations to build Big Data Applications that make it easy to run operations. MarkLogic provides today’s healthcare IT organizations with the ability to store, enrich, and transform information “as is.” Combined with affordable scalability on commodity hardware, MarkLogic is proven as a cost-effective way to build Big Data Applications in healthcare.
Featured Healthcare Customers
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Solutions for Healthcare
Health Information Exchange
Informatics Corporation of America (ICA) delivers a comprehensive Health Information Exchange (HIE) solution to hospitals, IDNs, communities and states. MarkLogic is a key component embedded within the ICA CareAlign Health Information Exchange (HIE) solution.
MarkLogic is used to deliver quality and analytics reporting capabilities which leverage patient data to improve population-based care. This solution supports the meaningful use of the ICA Electronic Health Record (EHR) solution and advanced health management techniques for hospitals and integrated delivery networks, which include Health Information Exchanges (HIEs), regional health information organizations (RHIOs), and other statewide initiatives.
With MarkLogic, users can filter and search across ICA’s full set of aggregated data, providing access to complete information for a particular patient or patient population. This advanced reporting and analytics capability supports state-level programs for care management, disease management, clinical trials, and others. It helps identify specific medical conditions, determining corresponding treatment patterns and providing a foundation to improve healthcare reporting and patient care.
Video: Customer Interview – Informatics Corporation of America
Informatics and Information Intelligence
MarkLogic enables organizations to streamline the acquisition, management, and analysis of health and biomedical information. Customers are able to load large volumes of variably structured information as is without the constraints of a rigid, pre-defined data model and then run queries in real-time. Organizations can also enrich information in place to maintain data fidelity, provide greater context, and perform sophisticated, ad-hoc analysis based upon co-occurrence and ontology-based hierarchies.
MarkLogic allows dynamic data-slicing across multiple dimensions, and across variable and sparsely populated data types (e.g. by patient, across patient and demographic groups, and across facilities, organizations and regions).
MarkLogic lets you combine complex ad-hoc real-time database style queries with full-text search at very large scale (combining an XML repository + XQuery + search + analytics).
MarkLogic can supplement existing BI tools that manage only static and highly structured data.
Research and Knowledge Management
MD Consult leverages MarkLogic to provide its users with instant access to the latest information on evaluation, diagnosis, clinical management, prognosis, and prevention.
MD Consult is trusted by more than 2,000 healthcare organizations, including 95% of U.S. medical schools. Powerful search tools provide results tailored for common clinical topics. Immediate drug updates highlight approvals and safety notices. Physicians log over 1.7 million searches on MD Consult every month to find clinical answers and make better treatment decisions.
Demo/Tour: MD Consult
Business Benefits
Enable information interoperability
- Securely store, transform, update, and deliver information regardless of schema, data source, or device destination
- Dynamically generate and exchange electronic health records (EHR)
Improve search and analysis
- Search and analyze any structured, semi-structured, or unstructured data
- Deliver real-time decision support at point-of-care
- Automatically enrich information and make it more valuable using popular medical ontologies such as MeSH and SNOMED
Optimize drug and clinical information processes
- Simplify processing and analyzing large amounts of variably structured and evolving information
- Increase the frequency and level of automation for detecting data revisions (e.g., drug label) by regularly scanning data sources, or accepting change notifications
- Use business rules and controlled vocabularies to relate information of any type together, such as matching drug references to its related FDA Set ID(s)