KIE Community

Distributed Decision Support Services and Knowledge Management Repository (KMR-II) is a second generation Clinical Decision Support (CDS) platform for healthcare environments. This presentation will provide a brief overview of the overall architecture and then discuss in more detail specific enhancements to Drools that enables it to better support rule execution using standards-based object models, semantics, and data structures. KMR extends Drools with Predictive Model Markup Language (PMML), Grid Services, and Semantic Web technologies within an agent architecture. KMR-II provides integrated knowledge management, analytic, and predictive modeling capabilities critical to the immediate and long-term care of our patients. As a sophisticated, standards-based Clinical Decision Support environment, it is uniquely suited to deliver “knowledge services” that can be layered on a variety of health information networks.

1.1) What Health IT is and what it isn’t – why health IT is hard

1.2) Standards and Health IT – the RIM, vocabularies, CDA and standardizing information

1.3) The changing nature of Health IT – Disecting a typical health system design and why using ontologies makes sense

1.4) Why ontologies and information models are not enough – Why we need rule-based systems and architecture to build extensible IT solutions

Part 2 – Ontologies for the working Health IT shop – working with ontologies in a development and production environment

2.1) Examining system design – using ontologies and rule-based systems with rich information structures in a distributed setting

2.2) Why good developers have trouble in Health IT – where java and other frameworks are great, and where rich information ties you down

2.3) An example rule based system – dealing with DVT in a clinical setting

2.4) Towards an industrial-strength development framework – Working with ontologies and rules in health IT

Speed Saves Lives: Leveraging a massively parallel expert system for patient surveillance

Pharmacy OneSource is a SaaS provider of applications for hospital pharmacy and infection prevention professionals. This case study will discuss the steps taken to develop a next-generation patient surveillance platform that allows clinicians to accurately detect risk factors, and perform interventions. The platform leverages the GigaSpaces implementation of Tuple-space and the Drools rule engine to create a massively parallel expert system. This architecture allows for customizable handling of millions of HL7 messages per day, evaluation of thousands of clinician created business rules, and reasoning over hundreds of thousands of patient data facts to provide near-real-time surveillance.

Clinical Pathways for doing Clinical Decision Support (CDS)

This presentation will describe how you can use clinical pathways to describe the treatment of patients. The pathways are usually the combination of processes describing the overall plan (for example using a flow chart approach but other representations like a time-task-matrix are possible as well) and rules adding additional constraints. It takes advantages of some of the more advanced features of jBPM5 to create flexible and adaptive, domain-specific processes that integration closely with rules.

Medicare and Medicaid look to rules for the future of healthcare

The Center for Medicare and Medicaid Services (CMS), an agency of the Federal government, has aggressive plans to modernize healthcare administrative systems and Electronic Healthcare Records (EHR).

The use of Rules and Business Process Management are a focal point for the new systems. This session will describe how Medicare and Medicaid work and how the government (Federal and State) is looking for Rules and BPM to help change both the administrative and clinical environments. This session will look at the Medicaid Information Technology Architecture (MITA) and how Rules and BPM can augment this Service Oriented Architecture. We will discuss how to get involved in some of the many projects that are currently underway.