Dr. Srinivasan Suresh discusses advances in medical technology and artificial intelligence, and focuses on the collaboration amongst clinicians and technologists on adoption of augmented intelligence.
Educational Objectives:
Upon completion of this activity, participants should be able to:
- Explain evidence from machine learning based studies
- Recall the homegrown readmission risk prediction tool
- Recognize the importance of all key stakeholders (clinicians, patients, researchers, tech industry) in the application of big data in healthcare
Disclosures:
Dr. Suresh has reported no relevant relationships with entities producing health care goods or services.
All presenters disclosure of relevant financial relationships with any entity producing, marketing, re-selling, or distributing health care goods or services, used on, or consumed by, patients is listed above. No other planners, members of the planning committee, speakers, presenters, authors, content reviewers and/or anyone else in a position to control the content of this education activity have relevant financial relationships to disclose.
Accreditation Statement:
In support of improving patient care, the University of Pittsburgh is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.
The University of Pittsburgh designates enduring material activity for a maximum of 1 AMA PRA Category 1 Credit[s]™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Other health care professionals will receive a certificate of attendance confirming the number of contact hours commensurate with the extent of participation in this activity.
For your credit transcript, please access our website 4 weeks post-completion at http://ccehs.upmc.com and follow the link to the Credit Transcript page. If you do not provide the last 5 digits of your SSN on the next page you will not be able to access a CME credit transcript. Providing your SSN is voluntary.
Release Date: 12/18/2018 | Last Modified On: 1/16/2020 | Expires: 12/16/2020
