PROGRAM OVERVIEW
Informatics is a very broad field that has close interplay with a wide range of disciplines. Given it's ubiquity, utility and application in life sciences, it has not only gained popularity but in fact, become crucial as a foundational knowledge base and skill set for all those who pursue a career in sciences.
We identify this need to promote and propagate learning of this discipline and the tools thereof as a core competency of biomedical science and offer this course as a start course in the principles of Informatics.
This course acknowledges and reconciles with the broad spectrum of informatics by having 6 modules, Introduction to Informatics, Data management principles, Health information management, Clinical informatics, Bioinformatics, Translational/Research informatics, as well as Project management essentials and Health data analytics.
This is a holistic approach to essential concepts of informatics, allowing the learner to (1) consolidate their basic knowledge of Informatics, and (2) get a highly informative introduction to the applied branches of informatics. This allows them to choose and continue further study in a subfield of Informatics as it may apply to their existing career.
MEET YOUR
INSTRUCTOR
Faiq Shaikh, M.D. is a dual-fellowship trained Informatician and Imaging physician. He trained at University of North Carolina Chapel Hill, University of Iowa and University of Pittsburgh. He has several years of experience in academic medicine and biotech-based translational research. He specializes in Imaging Informatics and Oncology research, and has written 26 research articles, 13 abstracts and 3 book chapters on related topics. He serves as a reviewer for major journals, including Nature Scientific Data, Nature Scientific reports, Nature Machine Intelligence, and Journal of Medical Imaging and Radiation Sciences. He also serves as the Radiomics researcher for ECOG-ACRIN, and as a Machine Learning Research Consultant for UCSF.
DESCRIPTORS FOR
MODULES
Introduction to Informatics
Module 1
Overall, this is a comprehensive yet foundational Biomedical informatics centered around the busy student as they apply these learnings in practical settings. The state-of-the-art teaching and assessment methods ensure high-impact delivery, high-yield retention and high-value application in the real world.
Data management principles
Module 2
Data is core currency of Informatics. This course focuses in detail on the sources and silos of data in healthcare, and different practice in the realm of healthcare data management. It gives an introduction to health data analytics and its basic applications, which is covered in much greater detail in the last module. It creates a solid foundation for a more advanced understanding and application of analytics applications in use today.
Health information management
Module 3
This module focuses on the extremely important component of Informatics, Health information management - and introduces the concepts of ontology, terminologies, and their role in the Healthcare infrastructure. The Electronic health record systems - components and interoperability is covered, including the HL7-FHIR. The basics of CPOE are also covered. It provides a foundational understanding how healthcare system process and use information and how new systems like EHR and CPOE are changing the way we interact with data and systems.
Clinical Bioinformatics informatics
Module 4
Biomedical informatics has many branches and each has a wide array of applications. A full account of that would be exhaustive, but this module covers the must-know basics of each of each fields, so that the students have the foundational knowledge of the scope, focus and application of each branch and what tools are used therein. The covered topics include telehealth, patient-centered systems and monitoring, imaging informatics, -omics, trials informatics, precision medicine, etc.
Project management essentials
Module 5
Project management is an increasingly marketable skill set to have as a clinician-informaticist, regardless of which branch of informatics you work in. This module covers the essentials of project management, by introducing its basic phases and components, and goes into the depth of each with a healthcare focus. It allows the students to realize the importance of the knowledge and application of project management in the field of life sciences.
Health data analytics
Module 6
This is the all-important module of Health data analytics that culminates the course on a high note. Recognizing the high-impact applications of information technology in biomedical sciences, this module covers key concepts of data analytics, big data in healthcare, as well as critically important principles of text mining and NLP, neural net and machine learning. It provides the landscape of real world applications of each of these so that students can connect the elementary knowledge with practical uses.
CLASS SCHEDULE
Monday and Wednesday
START DATE : TBD
TIME : 5 PM (PST) to 7 PM (PST)
Data Management Principles
SESSION - 1
Module 2
Monday and Wednesday
START DATE : TBD
TIME : 5 PM (PST) to 7 PM (PST)
Health Information Management
SESSION - 1
Module 3
Monday and Wednesday
START DATE : TBD
TIME : 5 PM (PST) to 7 PM (PST)
Clinical Bioinformatics
SESSION - 1
Module 4
Monday and Wednesday
START DATE : TBD
TIME : 5 PM (PST) to 7 PM (PST)
Project Management Essentials
SESSION - 1
Module 5
Monday and Wednesday
START DATE : TBD
TIME : 5 PM (PST) to 7 PM (PST)
Health Data Analytics
SESSION - 1
Module 6
