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Data Management & Informatics: Mike Hogarth, M.D.

Course Descriptions: This course will provide you with an orientation to information management, and covers key issues regarding data acquisition, storage, data interoperability to support clinical research and clinical trials. You will also become familiar with technology used to capture, store, and display/analyze clinical trial data.

Course Topics

  • Introduction to Clinical Research Concepts
  • Emerging Trends in Clinical Research
  • Master Data Management
  • Security Principles, Audit, and Records Management Regulations (FISMA, NIST, FDA 21CFRPart 11, HIPAA)
  • Clinical Research Information Systems
  • Electronic Health Record Systems and Clinical Research
  • Electronic Data Capture in Clinical Research
  • Overview of the REDCap electronic data capture system
  • Principles of Data Representation and Harmonization
  • Narrative Text and Natural Language Processing (NLP)
  • Data Storage – Database types, Relational Databases 101, SQL, NoSQL Databases, Map-Reduce computation
  • Applied Lab 1: Using an RDBMS to query MIMIC3
  • Cloud Computing 101, Containerization, Specialized services (Elastic MR, SageMaker ML, Alexa)  
  • Applied Lab 2: Using Map-Reduce to analyze large data sets (CMS dataset)
  • Clinical Data Repositories, Registries,  Population Health Analytics
  • pSCANNER: A Case Study of a Federated Clinical Research Data Network
  • Wearables, Sensors, and Remote Patient Based Data Collection and Clinical Research
  • The Evolving Clinical Care Landscape: Implications for Clinical Research Informatics