Priya Ramaswamy, MD

Title(s)ACGME/ABMS Fellow, Medicine
SchoolSchool of Medicine
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    Collapse Education and Training
    Beth Israel Deaconess Medical Center, Boston, MA09/2020Anesthesiology
    Tufts University School of Medicine, Boston, MAMD05/2016Doctor of Medicine
    Massachusetts Institute of Technology, Cambridge, MAS.B.06/2010Electrical Engineering and Computer Science
    Massachusetts Institute of Technology, Cambridge, MAM.Eng06/2011Electrical Engineering and Computer Science
    Collapse Awards and Honors
    Society for Technology in Anesthesia20181st Place Engineering Challenge-Developed a Blockchain Platform to Share Difficult Intubation Scores
    Beth Israel Deaconess Medical Center2019The Annual Nancy Oriol Award for Excellence in Obstetric Anesthesiology
    Beth Israel Deaconess Medical Center20191st Place Resident Research Award- Anesthesia Research Presentation
    Beth Israel Deaconess Medical Center2020BIDMC Award for Extraordinary Efforts during COVID-19 Pandemic

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    Collapse Overview
    Dr. Priya Ramaswamy is a current Clinical Informatics Fellow at UCSF. Priya obtained her bachelor's and master's degrees in Electrical Engineering and Computer Science from MIT, her medical degree from Tufts University School of Medicine, and completed her Anesthesiology residency at Beth Israel Deaconess Medical Center. Priya is passionate about developing and deploying technologies to improve healthcare. Her academic interests are clinical and perioperative informatics, health innovation and technology, and machine learning.

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    Collapse Publications
    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Researchers can login to make corrections and additions, or contact us for help. to make corrections and additions.
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    Altmetrics Details PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
    1. The emerging role of clinical informatics fellows in service learning during the COVID-19 pandemic. J Am Med Inform Assoc. 2021 03 01; 28(3):487-493. Subash M, Sakumoto M, Bass J, Hong P, Muniyappa A, Pierce L, Purmal C, Ramaswamy P, Sono R, Uptegraft C, Feinstein D, Khanna R. PMID: 33164076.
      View in: PubMed   Mentions:    Fields:    Translation:Humans
    2. Exploring ASA Score Predictability Using Machine Learning. Society of Technology in Anesthesia Annual Meeting. 2020. Ramaswamy P, Grabitz S, Santer P, Eickermann M.
    3. An optimized method for the estimation of the respiratory rate from electrocardiographic signals: implications for estimating minute ventilation. . 2014 Aug 01; 307(3):H437-47. Weiss EH, Sayadi O, Ramaswamy P, Merchant FM, Sajja N, Foley L, Laferriere S, Armoundas AA. PMID: 24858847.
      View in: PubMed   Mentions:
    4. Analyzing Autonomic Activity in Neonatal Seizures. 2011. Ramaswamy P. . View Publication.
    5. Large-scale analysis of neurite growth dynamics on micropatterned substrates. Integr Biol (Camb). 2011 Jan; 3(1):65-74. Wissner-Gross ZD, Scott MA, Ku D, Ramaswamy P, Fatih Yanik M. PMID: 20976322.
      View in: PubMed   Mentions: 8     Fields:    Translation:AnimalsCells
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