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Solution Architecture for Operating a Data-driven,
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Future State Event-Driven Architecture for Healthcare Organizations


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Prime Dimensions' future state event-driven architecture (EDA) effectively integrates relational, non-relational and stream data structures to create a unified analytics environment. EDA describes an architecture where layers are partitioned and decoupled from each other to allow better or easier composition, asynchronous performance characteristics, loose coupling of APIs and dependencies and easier profiling and monitoring. Its goal is a highly reliable design that allows different parts of the system to fail independently and still allow eventual consistency.

EDA also enables discovery, or exploratory, analytics, which rely on low-latency continuous batch processing techniques and high frequency querying on large, dynamic datasets. This type of architecture requires a different class of tools and system interfaces to promote a looser coupling of applications to streamline data access, integration, exploration, and analysis. It is also designed to deploy real-time Web applications using NoSQL databases, RESTful interfaces and advanced platforms that maximize throughput and efficiency by providing evented, asynchronous I/O and guaranteed, non-blocking libraries, thereby sharing code between the browser and server, effectively eliminating the Web server layer.

Published in: Healthcare
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Future State Event-Driven Architecture for Healthcare Organizations

  1. 1. IDENTITYANDACCESSMGMT.INFORMATIONASSURANCEHIPAA/HITECHCOMPLIANCE Solution Architecture for Operating a Data-driven, Event-enabled Healthcare Organization Hadoop HDFS YARN Hive MapReduce Clinical Data Warehouse DATA PROFILING METADATA MANAGEMENT INDEX CATALOG TAXONOMY MASTER DATA MANAGEMENT DATA QUALITY System Interfaces and APIs REST SOAP Enterprise Service BusLOG FILES PROTOCOL CONVERSION MESSAGING QUEUING BUFFERING SEQUENCINGEVENT HANDLING SourceSystems Data Transformation Prime Dimensions Proprietary DataAccess Data Extraction Services Data ServicesDATA CLEANINGDataIntegration Clinical and LOB Applications PresentationLayer Reports, Dashboards and Visualizations IN-MEMORY DATABASE Scale-up NOSQL DATABASE Scale-out Analytic ApplicationsPREDICTIVE MODELING ADVANCED ANALYTICSOPTIMIZATIONFORECASTING AnalyticsEngine Enterprise Application Integration PHM HIE CDSS HRA CCP Analytics Process APIs DataDistribution Services TargetSystems Patient ActivationClinical Informatics Connected Wellness Patient Reported Outcomes HL7 INTEGRATION ENGINE Analytic Offload HIE – Health Information Exchange PHM – Population Health Management CCP – Care Coordination Portal HRA – Health Risk Assessment CDSS– Clinical Decision Support System OLAP Real-timeDataStreams PRO – Patient Reported Outcomes EHR – Electronic Health Records CAS – Cost Accounting Systems CPS – Claims Processing Systems DM/CM – Disease Management/ Case Management EHR CAS DM/CMCPS PRO MULTI-DIMENSIONAL MODELS Data Warehouse Augmentation DEVICE AND SENSOR DATA Real-timeDataStreams KEY FEATURES • Promotes operational effectiveness, process automation and analytic excellence • Enables advanced analytics and clinical informatics through an interoperable and scalable infrastructure • Streamlines technology insertion based on agile development methodology for rapid deployments • Balances sustainment, incremental advances, and transformational technologies • Controls IT operational costs by eliminating redundancies and aligning capabilities • Supports strategic planning, organizational alignment, and continuous process improvement • Provides a practical framework for defining and realizing the evolving future state • Integrates multi-structured and stream data using advanced technologies that provide high velocity data capture, discovery and analysis • Establishes a virtualized data environment and extensible service-oriented architecture that supports both Restful and SOAP APIs, allowing multiple data structures and formats (JSON, XML, etc.) • Provides an application development platform with domain-specific enclaves for evolving from “systems of record” to “systems of engagement” KnowledgeManagementInformationManagementContentManagement PrivacyandSecurity(Robustintegratedsecuritylayer) BENEFITS  Improved quality of care and patient outcomes  Reduced life-cycle costs  Minimized financial and operational risk  Greater privacy and security  Better planning and execution  Improved knowledge management  Emphasis on innovation and transformation REAL-TIME EVENT PROCESSING