Conference

"ABSTRACT SUBMISSION DATE EXTENDED TO 31ST AUGUST 2023, HURRY UP & SUBMIT"                      * KMC 6-Credit Points Awarded
VIMS&RC

3rd Annual State Conference

EM-KARNATAKA 2023

Date : 21st – 24th of September, 2023

3rd Annual State Conference

EM-KARNATAKA 2023

Date : 21st – 24th of September, 2023

Venue : Vydehi Institute of Medical Sciences & Research Centre. Bangalore

3rd Annual State Conference

EM-KARNATAKA 2023

Date : 21st – 24th of September, 2023

Venue : Vydehi Institute of Medical Sciences & Research Centre. Bangalore

EMK-CPC (Clinical Pathologic Case)

Faculty from participating institutes/hospitals are requested to submit the case for the CPC competition. Cases will be reviewed by scientific committee and appropriately allotted to participating faculty. Only case can be submitted per institute/faculty and vis-a -vis only one case can be solved. Prizes will be awarded to best-case submitted to faculty and best-case solution resident. CPC cases to be submitted at the google form below.

https://forms.gle/VrCwLXCqEtft1R4S8

Timeline for CPC Presentation:

Faculty Case Presentation – 5 Minutes Resident Case Discussion – 10 Minute Faculty Case Solution Presentation – 5 Minutes

Further information regarding the CPC can be viewed at

https://www.cordem.org/events/cpc-competition/cpc-competition-information/cpc-competition-information/

General Rules For Competitions

  • Applicants should be registered as delegates for EM Karnataka 2023.
  • Entries for the competitions will not be considered unless the applicant has registered for the conference.
  • Applicants can apply to multiple competitions.
  • Applicants are expected to abide by the rules of EM Karnataka 2023and violation of rules can lead to disqualification.
  • The scientific committee’s decision regarding selection will be final.
  • Submitted abstracts should be original and should not have been published or presented elsewhere prior to the conference.
  • All submissions should fulfil appropriate ethical guidelines.
  • All data and information should be anonymized with respect to patient identification.