Modelação de Processos e Inteligência Empresarial na Saúde

Databases

The teaching will follow a methodology based on face-to-face presentations of the main topics, using demonstrations of relevant technologies and tools and analysis of application examples in the context of Health Services.
Students will be evaluated accordingly through the completion of research assignments , in which they will have the opportunity to deepen their knowledge of specific aspects of the program. It is intended, when possible, that these works be contextualized in the professional activity of students who perform functions in health care organizations. 

1. Understand process orchestration models and asynchronous communication by events.
2. Understand and know how to Use Exception Handling in process modeling.
3. Understand the concept of process mining, definition, evaluation and representation of process quality indicators.
4. Understand the life cycle of processes and know how to implement PDCA techniques with processes.
5. Understand the importance of business intelligence methods in decision making.

1. Business intelligence and organizational knowledge management
1.1 data acquisition, storage and processing
1.2 Datawarehouses and data lakes
1.3 ETL process.
1.4 OLAP and KPI processes
1.5 Querying and data visualization
1.6 Dashboards and reports

2. Concept of process-oriented management models and workflows for services health
2.1 symbology and modeling concepts.
2.2 BPMN standard and process modeling techniques
2.3 CMMN notation for Health
2.4 definition of alerts. Integration of alerts in processes.
2.5 definition of transactions, rollback of activities in processes.
2.6 techniques for analyzing rollbacks and deadlocks.
2.7 Service Level Agreement concept, event and exception management
2.8 CQL

3. Process Quality Assessment
3.1 Petri nets and Fuzzy Netorks for Process Modeling and process mining.
3.2 Quality Monitoring and process quality indicators.

4. Life cycle models
4.1 process reengineering and queue analysis
4.2 definition of resources by activity and process cost analysis

Completion of two projects:
1- a project on business intelligence (modeling and exploration) (50%)
2- a project focused on the management and engineering of processes and workflows. (50%)

NAO