Principles of Health Data

Understand the processes of collecting, organizing and managing health data, and in particular potential data quality problems.
Skills and abilities
– Search and evaluate potential data quality problems within the context of health information systems;
– Identify and classify data quality problems according to various dimensions;
– Understand the audit processes in maintaining the quality of biomedical information
Data flows and main difficulties in IS in health
Barriers to information collection
Data quality issues: dimensions, taxonomies
Classification and analysis of problems and data quality
Audit and quality of clinical coding
Audit in hospitals of the NHS

The content taught will give students the necessary and sufficient concepts to understand and interpret health data, and their peculiarities.
Specifically, through the syllabus taught, students will acquire the knowledge and skills that allow them to identify both the goal and the process of collecting, coding and using health data, their integration into the health system, and the difficulties that will arise with Its generalization.

Theoretical and theoretical-practical classes with theoretical exposition and discussion of topics, group and individual exercises. Assessment by introductory group assignment (30%) and final exam (70%).

Theoretical exposition transmits to the students the concepts that allow them to describe, identify and characterize the aspects related to health data. By discussing topics and conducting group assignments, students will also develop skills and mainly adjust behaviors that allow them to integrate these concepts into the daily practice of research.

E. H. Shortliffe and J. J. Cimino, Biomedical Informatics: Computer Applications in Health Care and Biomedicine. Springer, 2006.
R. Cruz-Correia, P. P. Rodrigues, A. Freitas, F. Almeida, R. Chen, and A. Costa-Pereira, “Data Quality and Integration Issues in Electronic Health Records,” in Information Discovery on Electronic Health Records, V. Hristidis, Ed. CRC Press, 2009, pp. 55–95.