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Health Information Systems Architecture Graduate Certificate

This program transforms applicants with IT and computer science backgrounds into health information system architects for health information systems design and development. Participants gain both theoretical and practical background in health information system design. Practical experience may come from projects with OpenMRS or commercial health information systems available through Regenstrief Institute and the School of Informatics and Computing.

Upon successful completion of the program, participants will possess the following:

  • A basic understanding of health informatics and health information systems
  • Practical experience in developing software tools for health information systems
  • Excellent knowledge of technical issues associated with health information system development, such as security, client-server application development, health information reporting, and data analysis

Qualified applicants are expected to have an undergraduate or graduate degree in Computer Science or in a closely related field, with a strong programming and database skill set.

Learning Outcomes

Graduates of this program will be the architects and developers of advanced health IT solutions. Through cross-training in IT and health domains, you’ll develop a high level of familiarity with health domains to complement your technical skills in computer and information science:

  1. Understanding Technology and Methodologies for Processing Information Health Care:
    • Explain health informatics and design and develop health information systems
    • Recommend usability and usefulness measures to evaluate health information systems
    • Discern principles of informatics that govern communication systems, health decisions, information retrieval, telemedicine, bioinformatics and evidence-based medicine, as well as ways in which information science and computer technology can enhance evidence-based practice in healthcare
  2. Information Literacy for Health Care:
    • Inspect solutions for management and mining of data generated in scientific laboratories and clinical trials for data mining and knowledge discovery, which include knowledge discovery techniques and databases, extraction of data/metadata stored in data warehouses using Storage Area Networks and dealing with issues of handling this data
    • Design approaches to access needed information effectively and efficiently
    • Analyze the principles and methodologies underlying most standards for health care data interchange and practical  issues of reading and understanding specifications, implementing and translating between standards
  3. Information Management:
    • Analyze theoretical and practical models for the delivery of consumer health information and implement them in the design and development of consumer health information resources

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