Every year more ideas and technology from the business process management and case management software industry show up in the health IT industry. (BTW “case management” has a different, though related, meaning in the workflow industry than the healthcare industry.) For example, I see more-and-more BPM/case management IT vendors and professionals show up at the annual HIMSS health IT conference (see my HIMSS14 and Workflow: Are We Making Progress Taking Business Processes Out Of Applications?).
At the same time, knowledge about healthcare workflows and unique workflow technology requirements must flow in the reverse direction, back into the BPM and case management industry. The very best way to transport knowledge is in a human brain.
So, I encourage all health IT workflowistas to submit proposals (250-word abstract by Feb 28th) to the upcoming BPM and Case Management Summit here in Washington DC. Last year I encouraged health IT folks to attend, presented myself, and we had a great reception from the workflow folks. Here’s a link to my trip report from last year, including my presentation archived as a Youtube video: BPM and Case Management: US Healthcare Wants You, But May Not Know It, Yet!
Here is this year’s call for proposals (just 250 words!):
(BTW, ignore, for the moment, any buzzwords that may appear unfamiliar. The workflow tech industry and health IT often have different terminology for similar topics. You could very well be engaged in a BPM/case management initiative, but simply call it something different!]
Who Should Submit?
Program Leaders Involved With BPM, Case Management, Analytics, Architecture or Similar Initiatives
Practitioners and Consultants Experienced With Designing and Delivering Adaptable and Innovative Solutions Demonstrating Superior User Experience
Subject Matter Experts Engaged in Dynamic Business Processes and Data-driven Knowledge Work
Researchers and Educators Involved With Business Process Issues, Architecture and Modeling, Collaboration and Knowledge Worker Effectiveness, Standards Development, Information Interoperability or Related Fields
Why Should I Submit?
Submitting a proposal is quick, easy and risk-free. We will provide feedback to help refine your submission, and if selected you will:
Gain Visibility at the Industry’s Most Prestigious Forum, Plus the Opportunity to Network With Peers
Advance Understanding of Your Work and Achievements
Have the Opportunity to Published to BPM.com With Visibility to an Audience of 10,000s Per Month
Be Considered for Inclusion in a Forthcoming Book
The topics below frame the topics covered during the event, however, you are welcome to submit a proposal on any subject you believe is relevant.
Case Management
Investigative Case Management approaches and applications
Definition of Adaptive Case Management (ACM) as its own discipline (apart from BPM)
Data-centricity (state transitions and data interchange focus) of case management activities
Impact of Case Management Modeling Notation (CMMN) on practitioners and tool vendors
Case management in targeted vertical markets (notably Financial Services, Insurance, Health Care, as well as Federal, State and Municipal Government)
Services integration in case management applications
Business Process Management (BPM)
Definition of business process management (BPM) as its own discipline (apart from ACM)
Impact of Business Process Model and Notation (BPMN) on practitioners and tool vendors
Process analysis and re-engineering using simulation, mining, and monitoring key performance indicators
Business process as-is anti-patterns and to-be redesign patterns (best practices)
Distributed, end-to-end, and cross-organizational business processes
Cloud impact on BPM and executing business processes in the cloud
Enabling data-driven business processes
Business Analytics
Impact of “big data” and attendant issues on business analytics
Survey of technologies for performing process monitoring and other business analytics
Promise of semantic technologies for bridging big data divides across authoritative data sources
Process mining and its application in business analytics
Modeling and predictive analytics for enterprise computing
Collaboration enterprise analytic platforms
Business process intelligence (e.g., process performance management)
Continuous, online analytics for big data in the enterprise
Business Rules
Business rule languages and engines
Managing granularity of business rules from the line-of-business (LOB) to the enterprise
Rules interchange and interoperability across heterogeneous execution platforms
Modeling business rules and the relation between business rules and business processes
Business rules and service computing
Business rules and compliance management, business process compliance
Event-Driven Rules-based Business Processes for the Real-Time Enterprise
Process and Data Governance
Role of process classification frameworks and other normative architectures
Demonstrating compliance and establishing provenance of submitted models
Service policies, contract definition and enforcement
Security/privacy policy definition and description languages
Policy interoperability
Information Interoperability
Making data interchange work across BPM and ACM a reality
Business object modeling methodologies and approaches
Taxonomies, ontologies and business knowledge integration
Master data management, data mining and (real-time) data warehousing
Flexible information models and systems (e.g., object-driven processes)
Data quality and trustworthiness
The role of NIEM and standard data descriptions to achieve interoperability
Evolution of SOA and API management to support mobile computing
A uniform resource identifier (URI) for everything the worker needs
Business Architecture Modeled Across the Enterprise
Enterprise architecture frameworks vs. business architecture frameworks
Design and population of architecture models – state of the market and practices today
Relationship of architectures to BPM and ADM disciplines
Enterprise or business architecture analysis, assessment and prediction
Cloud computing and the evolution of architectures
Enterprise ontologies and common vocabularies