Introduction to Digital Health

The Introduction to Digital Health course explores the fundamental concepts and components that make
up the Digital Health ecosystem.  Examine this multidisciplinary field and the roles of healthcare providers, behavioral psychologists, data scientists, technologists, social scientists and public health professionals.  The course introduces emerging innovations in data science, mHealth, IoMT, AI, deep learning, genomic medicine,  behavioral medicine, blockchain and regulatory aspects related to the acceleration of Digital Health.

Students will gain a basic understanding of structured data, privacy, information standards, and security.  Content also examines Digital Health components, product areas, behavioral science, UX design, applications in clinical and non‐clinical settings, software applications, mobile health applications and basic architectures within the Digital Health ecosystem.   Examine ongoing COVID-19 research by the UCSD Extension Department of Healthcare Research and Policy and explore how integrating Digital Health technologies can offer some innovative and sustainable solutions during this pandemic and in future public health emergencies. 

The course is taught by academic and industry practitioners who proivide insights from real-world case studies, new research and digital health transformations.  Students will gain entrepreneurial and frontier technology knowledge and examine Digital Health market trends, assumptions and new business models.

Course Number: GLBH-40020
Credit: 3.00 unit(s)
Related Certificate Programs: Digital Health

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3/28/2022 - 6/19/2022

$675

Online

Closed

• SECTION ID:

  162162

• CLASS TYPE:

  Online Asynchronous.
  
  This course is entirely web-based and to be completed asynchronously between the published course start and end dates. Synchronous attendance is NOT required.
  You will have access to your online course on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.

• INSTRUCTOR:
  

  Lane, Hobson

  Hobson Lane, is a Data Scientist and has 20 years of experience building autonomous systems that contribute to the common good. Hobson is the holder of six patents, and earned his M.S. degree in Dynamics and Controls from Georgia Institute of Technology, and his B.S. in Physics and English from Vanderbilt University. He is the author of technical papers and is a prolific lecturer in autonomous systems and machine learning. Hobson is also the lead author of Natural Language Processing in Action, and he will show you how to apply NLP to bioinformatics. His course, Data Science for Digital Health, is the second course in the Digital Health certificate program where you will learn how to apply statistical modeling to clinical data science, population health, assistive technology, and ethics...Read More

• TEXTBOOKS:

  No information available at this time.

• POLICIES:

  No refunds after: 4/1/2022.
  

• NOTE:

• DATE & LOCATION:

  3/28/2022 - 6/19/2022
  extensioncanvas.ucsd.edu
  You will have access to your course materials on the published start date OR 1 business day after your enrollment is confirmed if you enroll on or after the published start date.