283. Data Science and Some Applications During the COVID-19 Pandemic feat. Dr. Dalton Fabian

Intended Audience: Everyone

Data science can be applied to clinical decision support, but how has data science been used during the COVID-19 pandemic?

On this episode, returning guest and now data scientist Dr. Dalton Fabian talks about the use cases of data science during the pandemic.

Topics include:

• Dr. Fabian's journey to becoming a data scientist
• How data science has been used during COVID-19
• Data analytics vs. machine learning
• How to know when to use machine learning and when to use data analytics

If you are an ASHP member and are looking to learn more, Dr. Fabian will be presenting "Data Science in Healthcare" on February 8th, 2022. In his session, he will talk about:

• Data ecosystem terminologies
• Data science use cases in healthcare
• Steps in the data science life cycle
• The data science skills path

To register for the event, visit: https://register.gotowebinar.com/register/6656139250076846093

You can reach out to Dr. Fabian for additional questions at https://www.linkedin.com/in/daltonfabian/

==========
New to LinkedIn and not sure where to start? Download my free ebook, "Professional Networking Unlocked", at https://www.tonydaopharmd.com/ebook
Follow us on social media!
Twitter: @pharmacyitme
Instagram: @pharmacyinformatics
LinkedIn: https://www.linkedin.com/company/pharmacyitme/
Website: Pharmacy IT & Me
Email: [email protected]
Follow Tony's personal Twitter account at @tonydaopharmd

Network with other pharmacists at Pharmacists Connect!
http://pharmacistsconnect.com

For more information on pharmacy informatics, check out some of the following useful links:

ASHP's Section of Pharmacy Informatics and Technology: https://www.ashp.org/Pharmacy-Informaticist/Section-of-Pharmacy-Informatics-and-Technology/
HIMSS Pharmacy Informatics Community: https://www.himss.org/library/pharmacy-informatics

Disclaimer: Views expressed are my own and do not reflect thoughts and opinions of any entity with which I have been, am now, or will be affiliated.