Harvard Catalyst Profiles

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Ivan Ip, M.D.

Co-Author

This page shows the publications co-authored by Ivan Ip and Laila Cochon.
Connection Strength

0.740
  1. Variation in Follow-up Imaging Recommendations in Radiology Reports: Patient, Modality, and Radiologist Predictors. Radiology. 2019 06; 291(3):700-707.
    View in: PubMed
    Score: 0.209
  2. Assessing information sources to elucidate diagnostic process errors in radiologic imaging - a human factors framework. J Am Med Inform Assoc. 2018 11 01; 25(11):1507-1515.
    View in: PubMed
    Score: 0.202
  3. Variation in Radiologists' Follow-Up Imaging Recommendations for Small Cystic Pancreatic Lesions. J Am Coll Radiol. 2021 10; 18(10):1405-1414.
    View in: PubMed
    Score: 0.061
  4. Radiologist Variation in the Rates of Follow-up Imaging Recommendations Made for Pulmonary Nodules. J Am Coll Radiol. 2021 07; 18(7):896-905.
    View in: PubMed
    Score: 0.059
  5. Predictors of Self-Reported Burnout Among Radiology Faculty at a Large Academic Medical Center. J Am Coll Radiol. 2020 Dec; 17(12):1684-1691.
    View in: PubMed
    Score: 0.057
  6. Can Automated Retrieval of Data from Emergency Department Physician Notes Enhance the Imaging Order Entry Process? Appl Clin Inform. 2019 03; 10(2):189-198.
    View in: PubMed
    Score: 0.052
  7. Classifying Safety Events Related to Diagnostic Imaging From a Safety Reporting System Using a Human Factors Framework. J Am Coll Radiol. 2019 Mar; 16(3):282-288.
    View in: PubMed
    Score: 0.051
  8. Will publishing evidence-based guidelines for low back pain imaging decrease imaging use? Am J Emerg Med. 2019 03; 37(3):545-546.
    View in: PubMed
    Score: 0.050
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.