Sign up to save your podcasts
Or
Share Hospital Readmission Rates Part 2
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
Hospital Readmission Rates Part 2
In this podcast episode I will be continuing my discussion on readmission rates, don't forget to go back and check out Part 1! I provide an overview of some of the different types of readmission rates, factors that can affect readmission rates, and the potential future of integrating machine learning algorithms to better predict patients who might be at risk.
eBook: https://hlthanalyticinsights.gumroad.com/l/healthinformatics
Resources Discussed in the Episode:
https://www.cmajopen.ca/content/7/3/E590
https://proof.utoronto.ca/wp-content/uploads/2022/10/Food-insecurity-A-problem-of-inadequate-income-not-solved-by-food-PROOF-factsheet-Oct-2022.pdf
https://www.frontiersin.org/articles/10.3389/fphar.2021.567424/full
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404806/
Interview on A Short Primer on Why Cancer Still Sucks!
https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy8zNzM3NmNjMC9wb2RjYXN0L3Jzcw/episode/ZDJhNzdlN2YtMjg1Ny00MTNiLWFkMTQtZTBkMDFhODY4ZGM4?sa=X&ved=0CAUQkfYCahcKEwiwiZeZ7tj9AhUAAAAAHQAAAAAQAQ
Welcome to the Health Analytic Insights Podcast. This podcast is ALL about creating a community of like-minded individuals who are passionate about the field of health informatics. I hope to share information and advice in topics such as health analytics, digital health, biomedical engineering and data visualization in healthcare and in exchange I would love to hear from you DEAR listener about your experience and interest in this field, you can drop me a line at [email protected].
Sign up to the newsletter and get your FREE guide to starting your career in health informatics here.
DISCLAIMER: The views expressed on this podcast are my own and do not reflect those of people, organizations or institutions that I might be associated with in a professional capacity, unless explicitly stated. The views expressed by the guests on this show are their own and may or may not reflect those of people, organizations or institutions that I might be associated with in a professional capacity, unless explicitly stated.
View all episodes
By Health Analytic Insights Podcast
5
99 ratings
In this podcast episode I will be continuing my discussion on readmission rates, don't forget to go back and check out Part 1! I provide an overview of some of the different types of readmission rates, factors that can affect readmission rates, and the potential future of integrating machine learning algorithms to better predict patients who might be at risk.
eBook: https://hlthanalyticinsights.gumroad.com/l/healthinformatics
Resources Discussed in the Episode:
https://www.cmajopen.ca/content/7/3/E590
https://proof.utoronto.ca/wp-content/uploads/2022/10/Food-insecurity-A-problem-of-inadequate-income-not-solved-by-food-PROOF-factsheet-Oct-2022.pdf
https://www.frontiersin.org/articles/10.3389/fphar.2021.567424/full
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5404806/
Interview on A Short Primer on Why Cancer Still Sucks!
https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy8zNzM3NmNjMC9wb2RjYXN0L3Jzcw/episode/ZDJhNzdlN2YtMjg1Ny00MTNiLWFkMTQtZTBkMDFhODY4ZGM4?sa=X&ved=0CAUQkfYCahcKEwiwiZeZ7tj9AhUAAAAAHQAAAAAQAQ
Welcome to the Health Analytic Insights Podcast. This podcast is ALL about creating a community of like-minded individuals who are passionate about the field of health informatics. I hope to share information and advice in topics such as health analytics, digital health, biomedical engineering and data visualization in healthcare and in exchange I would love to hear from you DEAR listener about your experience and interest in this field, you can drop me a line at [email protected].
Sign up to the newsletter and get your FREE guide to starting your career in health informatics here.
DISCLAIMER: The views expressed on this podcast are my own and do not reflect those of people, organizations or institutions that I might be associated with in a professional capacity, unless explicitly stated. The views expressed by the guests on this show are their own and may or may not reflect those of people, organizations or institutions that I might be associated with in a professional capacity, unless explicitly stated.