Chicago informatics week

Propose a set of guiding principles drawing on the ethical and legal frameworks that inform the healthcare industry.

Meet Your Instructor. View More. Career Outlook. Potential Job Titles in Healthcare Informatics. What Our Participants Say. The educational format was top-notch. The interactive learning activities were far above what my doctorate program at another university offered.

There was a good mix of contributing experts discussing topics in each module. The interactions with classmates were beneficial, in that we had multiple levels of education from heterogeneous backgrounds, adding different professional and cultural perspectives on topics.

This program will completely change your vision of what patient care means in this new context. It will clarify the concepts and give you a deeper understanding that is noticeable from the first module. The weekly homework process was successful, and you learn through research while being able to create your own opinion on the topics. Speaking at the event. Areas of Study Healthcare. Register Now Loading Other Events View All Events. Health Details: Admission.

To be accepted into the Master of Science in Health Informatics , students must have completed a baccalaureate degree and coursework in a field relevant to the discipline, e. Best Health Today. The center provides computational support for the Biological Sciences Division at the University of Chicago, including high-performance computing, applications development, bioinformatics, and access to the clinical research data warehouse.

Define the discipline of biomedical informatics, its subdomains, and related professional roles and skills and identify intersections along the matrix of biomedical informatics subdomains and related roles and skills. Learn to articulate a position on the BMI matrix according to a particular skill set and interest. Identify the structures and processes related to how US healthcare is administered and financed and examine healthcare systems outside of the US, comparing their similarities and differences.

Learn to recognize how quality and operations work differs from research. Define healthcare information systems, electronic health records, and their functional components. Learn to articulate the necessary considerations for designing and implementing an EHR system and to explain the purpose of clinical decision support. Interpret how data science and machine learning techniques can be applied to patient data to provide insight into disease and patient processes and also highlight the role of genetics and genomics tests in customizing care and treatment plans In this module you will also discuss the impact of cloud computing on clinical research and healthcare.

Learn to identify the key ethical principles in medicine and to interpret historic events in the evolution of research ethics. You will also classify the obligations that healthcare institutions have to protect the security and privacy of patient data as well as evaluate the role that data governance, stewardship, and provenance play in ensuring the integrity and proper use of data.

Identify different applications of mobile health and telemedicine and interpret the new paradigm in terms of clinician-to-clinician interactions. You will learn to articulate the requirements that affect the use of mobile health devices and telemedicine practices in healthcare and also illustrate the opportunities and limitations for integrating mobile devices and wearables in research.