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At a Glance
- Open Enrollment
- Eight weeks
Develop an understanding of healthcare and technology from a global perspective.
The eight-week Healthcare Informatics course focuses on the key issues driving healthcare informatics, a practice that requires cutting-edge knowledge. The program is designed to teach you to identify the skills needed within a health informatics team and understand the issue of healthcare and technology from a global perspective.
Designed for leaders and professionals in healthcare informatics who could benefit by gaining a global perspective on the state of the sector. It is also designed for professionals with less experience in the healthcare sector who are interested in delving into the world of biomedical informatics.
COVID-19 is shining a spotlight on the healthcare sector. When you consider the state of healthcare on a global scale, it has never been more useful to know how best to manage patients’ health data. Our program will help you understand the latest technologies, tools, and industry best practices to improve patient outcomes and make use of available information technology, allowing practitioners to better analyze and understand patients’ health records.
After completing the program, you will be able to:
- Articulate the roles and skills relevant to the subdomains of biomedical informatics and the evolution of the discipline.
- Investigate the dynamics and challenges of the global healthcare ecosystem and the different points of interaction for patients.
- Examine the role of electronic health record data and system interoperability in improving patient health through clinical decision support.
- Identify how genomics technology and data science techniques support personalized medicine to improve patient health.
- Propose a set of guiding principles drawing on the ethical and legal frameworks that shape the healthcare sector today.
Study with industry experts
Our expert instructor directs the International Neuroblastoma Risk Group Database project, which connects international patient data with external information such as genomic data and tissue availability. 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.
Health Informatics course curriculum
Our curriculum is designed to teach you to:
- Articulate the roles and skills relevant to the subdomains of biomedical informatics and the evolution of the discipline
- Investigate the dynamics and challenges of the global healthcare ecosystem and the different points of interaction for patients
- Examine the role of electronic health record data and system interoperability in improving patient health through clinical decision support
- Identify how genomics technology and data science techniques support personalized medicine to improve a patient’s health
- Propose a set of guiding principles drawing on the ethical and legal frameworks that shape the healthcare sector today
- Eight weeks in length
- Weekly, self-paced interactive learning modules and assignments are time-sensitive and should be completed by the set deadlines
- Synchronous sessions and live question and answer sessions
- Mentors to provide continuous support and encourage a dynamic and positive learning environment
Weekly course schedule
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.
Investigate how leadership qualities affect the function and effectiveness of healthcare systems and understand the importance of people and processes to support the use of new tools and applications. You will learn how to draft a proposal to get senior support for the implementation of an informatics project to improve quality or support operations.
Articulate trends and new models for delivering healthcare and learn to select appropriate skills that meet the needs of emerging career opportunities in healthcare informatics. This module will also illustrate the ways in which innovation and improvements in healthcare are incentivized.