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Sujay Shivanand Kakarmath, M.B.,B.S.

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Maharashtra University of Health Sciences, Mumbai, IndiaMD04/2012Medicine
Harvard University, Boston, MAMSc12/2016Global Health and Population
2014 - 2016
Harvard Presidential Scholar
2015 - 2016
Bernard Lown Fellow in Cardiovascular Health
2014 - 2015
J.N. Tata Scholar
2009 - 2010
Narotam Sekhsaria Schola

Dr. Kakarmath is a digital health scientist at Partners Healthcare Pivot Labs and an Instructor at Harvard Medical School. His research is focused on the evaluation of the clinical utility of digital health solutions, including machine learning and artificial intelligence-based products. Dr. Kakarmath's team works closely with technology innovators from academia, startups and industry giants to guide the ideation, design, prototyping, validation, and deployment of digital health solutions. His work has been published in prestigious journals and showcased at major academic conferences such as those of the American Academy of Neurology, the American Medical Informatics Association, the International Society for Pharmacoeconomics and Outcomes Research, the Connected Health Conference, Precision Medicine Summit and HIMSS.

Dr. Kakarmath is also a global health professional and works closely with esteemed scientists worldwide to conduct public health research. Highlights of this work include the assessment of population-level risk factors for cardiovascular disease in India and Tanzania, evaluation of geographic and temporal trends in cholesterol levels for the Global Burden of Disease study, reporting on the landscape of clinical care and health policy for diabetes in sub-Saharan Africa for the Lancet Commission on Diabetes in sub-Saharan Africa, and estimating the population-level impact of literacy and numeracy on health in 33 countries to guide education policy for the OECD (Organization for Economic Co-operation and Development).

Available: 07/08/19, Expires: 07/31/20

Partners Healthcare Pivot Labs has several projects that students can collaborate on. Nature of tasks includes: Literature reviews; electronic medical records research; validation of digital health solutions; clinical utility of AI solutions. Specific project and details vary depending on project mix at any given time.

Featured Content

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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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. Rodgers J, Kakarmath S, Denis V, Encinas-Martin M, Subramanian SV. Association between numeracy and self-rated poor health in 33 high- and upper middle- income countries. Prev Med. 2019 12; 129:105872. PMID: 31644897.
  2. Kalkonde Y, Deshmukh M, Kakarmath S, Puthran J, Agavane V, Sahane V, Bang A. A prospective study of causes of death in rural Gadchiroli, an underdeveloped district of India (2011-2013). J Glob Health Rep. 2019; 3:e2019009. PMID: 31909198.
  3. Kakarmath SS, de Redon E, Centi AJ, Palacholla R, Kvedar J, Jethwani K, Agboola S. Assessing the Usability of an Automated Continuous Temperature Monitoring Device (iThermonitor) in Pediatric Patients: Non-Randomized Pilot Study. JMIR Pediatr Parent. 2018 Dec 21; 1(2):e10804. PMID: 31518304.
  4. Kakarmath S, Golas S, Felsted J, Kvedar J, Jethwani K, Agboola S. Validating a Machine Learning Algorithm to Predict 30-Day Re-Admissions in Patients With Heart Failure: Protocol for a Prospective Cohort Study. JMIR Res Protoc. 2018 Sep 04; 7(9):e176. PMID: 30181113.
  5. Golas SB, Shibahara T, Agboola S, Otaki H, Sato J, Nakae T, Hisamitsu T, Kojima G, Felsted J, Kakarmath S, Kvedar J, Jethwani K. A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data. BMC Med Inform Decis Mak. 2018 06 22; 18(1):44. PMID: 29929496.
    Citations:    Fields:    
  6. Kakarmath S, Denis V, Encinas-Martin M, Borgonovi F, Subramanian SV. Association between literacy and self-rated poor health in 33 high- and upper middle-income countries. Int J Public Health. 2018 Mar; 63(2):213-222. PMID: 28965206.
    Citations:    Fields:    Translation:Humans
  7. Atun R, Davies JI, Gale EAM, Bärnighausen T, Beran D, Kengne AP, Levitt NS, Mangugu FW, Nyirenda MJ, Ogle GD, Ramaiya K, Sewankambo NK, Sobngwi E, Tesfaye S, Yudkin JS, Basu S, Bommer C, Heesemann E, Manne-Goehler J, Postolovska I, Sagalova V, Vollmer S, Abbas ZG, Ammon B, Angamo MT, Annamreddi A, Awasthi A, Besançon S, Bhadriraju S, Binagwaho A, Burgess PI, Burton MJ, Chai J, Chilunga FP, Chipendo P, Conn A, Joel DR, Eagan AW, Gishoma C, Ho J, Jong S, Kakarmath SS, Khan Y, Kharel R, Kyle MA, Lee SC, Lichtman A, Malm CP, Mbaye MN, Muhimpundu MA, Mwagomba BM, Mwangi KJ, Nair M, Niyonsenga SP, Njuguna B, Okafor OLO, Okunade O, Park PH, Pastakia SD, Pekny C, Reja A, Rotimi CN, Rwunganira S, Sando D, Sarriera G, Sharma A, Sidibe A, Siraj ES, Syed AS, Van Acker K, Werfalli M. Diabetes in sub-Saharan Africa: from clinical care to health policy. Lancet Diabetes Endocrinol. 2017 08; 5(8):622-667. PMID: 28688818.
    Citations: 10     Fields:    Translation:Humans
  8. Kakarmath SS, Zack RM, Leyna GH, Fahimi S, Liu E, Fawzi WW, Lukmanji Z, Killewo J, Sacks F, Danaei G. Dietary determinants of serum total cholesterol among middle-aged and older adults: a population-based cross-sectional study in Dar es Salaam, Tanzania. BMJ Open. 2017 06 06; 7(5):e015028. PMID: 28588111.
    Citations:    Fields:    Translation:Humans
  9. Kakarmath S, Heller HT, Alexander CA, Cibas ES, Krane JF, Barletta JA, Lindeman NI, Frates MC, Benson CB, Gawande AA, Cho NL, Nehs M, Moore FD, Marqusee E, Kim MI, Larsen PR, Kwong N, Angell TE, Alexander EK. Clinical, Sonographic, and Pathological Characteristics of RAS-Positive Versus BRAF-Positive Thyroid Carcinoma. J Clin Endocrinol Metab. 2016 12; 101(12):4938-4944. PMID: 27689252.
    Citations: 1     Fields:    Translation:Humans
  10. Kalkonde YV, Deshmukh MD, Sahane V, Puthran J, Kakarmath S, Agavane V, Bang A. Stroke Is the Leading Cause of Death in Rural Gadchiroli, India: A Prospective Community-Based Study. Stroke. 2015 Jul; 46(7):1764-8. PMID: 25999388.
    Citations: 4     Fields:    Translation:Humans
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.