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Lipika Samal, MD, MPH
Associate Physician, Brigham and Women's Hospital
Assistant Professor of Medicine, Harvard Medical School

Brigham and Women's Hospital
Department of Medicine
General Medicine
75 Francis Street
Boston, MA 02115

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Research Narrative:

Lipika Samal, MD, MPH completed a three-year NIH-funded fellowship at Johns Hopkins University School of Medicine, a Masters of Public Health at Johns Hopkins Bloomberg School of Public Health, and additional coursework in a National Library of Medicine-funded training program in Biomedical Informatics. During her fellowship she assisted colleagues with numerous articles about the use of health information technology (HIT) by patients including: 1) a survey of women visiting the Baltimore city sexually transmitted infections clinic, 2) a survey of HIV patients, 3) a survey of diabetes patients, and 4) a federally funded systematic review of the literature about consumer health informatics. Each of these articles contributed to the literature on HIT interventions to improve the health of vulnerable populations.

 After fellowship, she joined the Brigham and Women’s Hospital (BWH) as a 75% research effort clinician investigator in the Division of General Internal Medicine. In keeping with the reason that she came to BWH, she sought to study the impact of HIT on quality of care. Her first manuscript in this area was published in the American Journal of Managed Care. A separate analysis of the relationship between HIT use and racial/ethnic disparities was published in the Archives of Internal Medicine (now JAMA Internal Medicine). In her fourth year as a faculty member, she published another analysis in JAMA Internal Medicine examining the lack of association between Meaningful Use of electronic health records (EHRs) and clinical quality measures.

As her research interests have become more focused, she has begun to study the impact of HIT on chronic kidney disease (CKD). She has been awarded a K23 award by the NIDDK to develop and test an HIT tool which calculates risk of progression to end stage renal disease and prompts referral from primary care to specialist care. As PI or co-Investigator on several NIH-funded grants, she has laid the groundwork for the proposed research by 1) developing a software application that can calculate the 5-year risk of developing kidney failure using clinical data, 2) validating the clinical data extracted from electronic health records, 3) becoming an expert in automated data extraction from EHRs, and 4) performing qualitative research to improve the acceptance of the tool in routine primary care.

Mesh Keywords: Patient Education as Topic; Health Literacy; Cellular Phone; Internet; Information Dissemination; Prothrombin; Factor V; Venous Thromboembolism; Medical Records; Systems, Computerized; Primary Health Care; Decision Support Systems, Clinical; Consumer Health Informatics

Johns Hopkins Bloomberg School of Public Healty, 2008, MPH
Case Western Reserve University, 2004, MD

Publications (Pulled from Harvard Catalyst Profiles):

1. Dalal AK, Dykes P, Samal L, McNally K, Mlaver E, Yoon CS, Lipsitz SR, Bates DW. Potential of an Electronic Health Record-Integrated Patient Portal for Improving Care Plan Concordance during Acute Care. Appl Clin Inform. 2019 May; 10(3):358-366.

2. Wright A, McEvoy DS, Aaron S, McCoy AB, Amato MG, Kim H, Ai A, Cimino JJ, Desai BR, El-Kareh R, Galanter W, Longhurst CA, Malhotra S, Radecki RP, Samal L, Schreiber R, Shelov E, Sirajuddin AM, Sittig DF. Structured override reasons for drug-drug interaction alerts in electronic health records. J Am Med Inform Assoc. 2019 Apr 26.

3. Wright A, Aaron S, Seger DL, Samal L, Schiff GD, Bates DW. Reduced Effectiveness of Interruptive Drug-Drug Interaction Alerts after Conversion to a Commercial Electronic Health Record. J Gen Intern Med. 2018 Nov; 33(11):1868-1876.

4. Zuccotti G, Samal L, Maloney FL, Ai A, Wright A. The Need for Closed-Loop Systems for Management of Abnormal Test Results. Ann Intern Med. 2018 06 05; 168(11):820-821.

5. Bates DW, Samal L. Interoperability: What Is It, How Can We Make It Work for Clinicians, and How Should We Measure It in the Future? Health Serv Res. 2018 10; 53(5):3270-3277.

6. Samal L, D'Amore JD, Bates DW, Wright A. Implementation of a scalable, web-based, automated clinical decision support risk-prediction tool for chronic kidney disease using C-CDA and application programming interfaces. J Am Med Inform Assoc. 2017 Nov 01; 24(6):1111-1115.

7. Collins S, Klinkenberg-Ramirez S, Tsivkin K, Mar PL, Iskhakova D, Nandigam H, Samal L, Rocha RA. Next generation terminology infrastructure to support interprofessional care planning. J Biomed Inform. 2017 Nov; 75:22-34.

8. Dykes PC, Rozenblum R, Dalal A, Massaro A, Chang F, Clements M, Collins S, Donze J, Fagan M, Gazarian P, Hanna J, Lehmann L, Leone K, Lipsitz S, McNally K, Morrison C, Samal L, Mlaver E, Schnock K, Stade D, Williams D, Yoon C, Bates DW. Prospective Evaluation of a Multifaceted Intervention to Improve Outcomes in Intensive Care: The Promoting Respect and Ongoing Safety Through Patient Engagement Communication and Technology Study. Crit Care Med. 2017 Aug; 45(8):e806-e813.

9. Singh K, Waikar SS, Samal L. Evaluating the feasibility of the KDIGO CKD referral recommendations. BMC Nephrol. 2017 Jul 07; 18(1):223.

10. Levine DM, Healey MJ, Wright A, Bates DW, Linder JA, Samal L. Changes in the quality of care during progress from stage 1 to stage 2 of Meaningful Use. J Am Med Inform Assoc. 2017 03 01; 24(2):394-397.