About

Xiaohan “Tanner” Zhang

EDUCATION

Master of Science in Health Sciences Informatics     Aug. 2017 – Aug. 2019

Johns Hopkins University School of Medicine – Baltimore, Maryland

Bachelor of Medicine in The Five-Year Program of Clinical Medicine  Sep. 2011 – Jun. 2017

West China School of Medicine, Sichuan University – Chengdu, China

PROFESSIONAL EXPERIENCE

Sr. Research Data Analyst          Oct. 2022 – Present

Johns Hopkins Medicine, Department of General Internal Medicine – Baltimore, MD

  • Focused research on EHR data analysis, data registry management, data harmonization and quality control
  • Heavily involved in National COVID Cohort Collaborative Data Ingestion & Harmonization

Postdoc Research Fellow          Oct. 2019 – Sep. 2022

Johns Hopkins School of Medicine – Baltimore, MD

  • Focused research on EHR data analysis, data quality evaluation, common data model ETL process
  • Heavily involved in National COVID Cohort Collaborative Data Ingestion & Harmonization

Sr. Research Fellow           Apr. 2018 – Apr. 2019

Johns Hopkins Armstrong Institute – Baltimore, MD

  • Focused research on patient safety and quality improvement
  • Statistical analysis in pediatric trauma data
  • Develop informatics studies in the team

Research Fellow            Dec. 2017 – Aug. 2019

Johns Hopkins School of Medicine – Baltimore, MD

  • Focused research on FHIR resources modeling to represent clinical data
  • Mapping across different oncology systems
  • Training new team members

Clinical Rotation            Mar. 2016 – June 2017

West China Hospital – Chengdu, China

  • Assisting with inpatient care during rotations
  • Participated in clinical journal presentations and case reports of emergency and critical patients
  • Performed clinical operations for therapy like intubation. Served as assistant for surgeries

Research Member            Jun. 2015 – Mar. 2016

Department of Molecular Genetics and Microbiology, University of Florida – Gainesville, FL

  • Evaluated and optimized protocol for blotting in the lab
  • Found convincing evidence to prove the beneficial impacts of viruses on human T cells and supported CAR-T therapy
  • Trained new-enrolled lab mates

INFORMATICS PROJECTS

All of Us Center for Linkage and Acquisition of Data     Sep. 2023 – Jun 2025

Johns Hopkins Medicine

  • Responsible for ETL process for CCDA document from contributing sites
  • Responsible for ETL process for FHIR data from contributing sites for the HIE workgroup
  • Core member of Claim data work group, also responsible for DQ

CRISP COVID Registry           Jun. 2020 – Jun 2023

Johns Hopkins Medicine

  • Cooperating with CRISP state-designated HIE for Maryland to build a regional centralized database
  • Responsible for database build and harmonization process for COVID-19 patient data
  • Developing analysis tool and data quality evaluation tool for end users
  • Responsible for data quality evaluation and curation process

National COVID Cohort Collaborative        Feb. 2020 – Present

Nationwide

  • Nationwide collaborative research project with Dr. Mellisa Haendel, Dr. Christopher Chute, and Dr. Ken Gursing
  • Development of data registry, responsible for data ingestion and harmonization process
  • Developing mapping logics between common data models (PCORnet, OMOP, TriNetX, i2b2ACT)
  • Data quality evaluation and curation process management

Clinical Profiles           Dec. 2017 – Oct. 2019

Johns Hopkins University

  • Define clinical profile contents for asthma patients and interoperable content translation
  • FHIR-Friendly JSON model building

ICD 11 Ontology Coverage Detection       Sep. 2018 – Aug. 2019

Johns Hopkins School of Medicine

  • Third analysis in a series to test ICD ontology coverage
  • Research paper development for findings

PUBLICATIONS

  • Haendel MA, Chute CG, Bennett TD, Eichmann DA, Guinney J, Kibbe WA, et al. The National COVID Cohort Collaborative (N3C): rationale, design, infrastructure, and deployment. J Am Med Inform Assoc. 2021 Mar;28(3):427-443. [495 citations]
  • Bennett TD, Moffitt RA, Hajagos JG, Amor B, Anand A, Bissell MM, et al. Clinical characterization and prediction of clinical severity of SARS-CoV-2 infection among US adults using data from the US National COVID Cohort Collaborative. JAMA Netw Open. 2021 Jul;4(7):e2116901. [212 citations]
  • Bennett TD, Moffitt RA, Hajagos JG, Amor B, Anand A, Bissell MM, et al. The National COVID Cohort Collaborative: clinical characterization and early severity prediction. medRxiv. 2021. [63 citations]
  • Pfaff ER, Girvin AT, Gabriel DL, Kostka K, Morris M, Palchuk MB, et al. Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. J Am Med Inform Assoc. 2022 Mar;29(4):609-618. [58 citations]
  • Chow JH, Rahnavard A, Gomberg-Maitland M, Chatterjee R, Patodi P, et al. Association of early aspirin use with in-hospital mortality in patients with moderate COVID-19. JAMA Netw Open. 2022 Mar;5(3):e223890. [55 citations]
  • Roe KD, Jawa V, Zhang X, Chute CG, Epstein JA, Matelsky J, et al. Feature engineering with clinical expert knowledge: A case study assessment of machine learning model complexity and performance. PLoS One. 2020 Apr;15(4):e0231300. [37 citations]
  • Bradwell KR, Wooldridge JT, Amor B, Bennett TD, Anand A, Bremer C, et al. Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset. J Am Med Inform Assoc. 2022 Jun;29(7):1172-1182. [19 citations]
  • Xue P, Covassin N, Ran X, Zhou J, Zhang X, Yan D, et al. Association of parameters of nocturnal hypoxemia with diabetic microvascular complications. Diabetes Res Clin Pract. 2020 Dec;170:108484. [15 citations]
  • Thomas JA, Foraker RE, Zamstein N, Morrow JD, Payne PRO, Wilcox AB, et al. Demonstrating an approach for evaluating synthetic geospatial and temporal epidemiologic data utility. J Am Med Inform Assoc. 2022 Aug;29(8):1350-1365. [12 citations]
  • Verhagen NB, Koerber NK, Szabo A, Taylor B, Wainaina JN, Evans DB, et al. Vaccination against SARS-CoV-2 decreases risk of adverse events in patients who develop COVID-19 following cancer surgery. Ann Surg Oncol. 2023 Mar;30(3):1305-1308. [9 citations]
  • Xiao X, Mehta HB, Curran J, Garibaldi BT, Alexander GC, et al. Potential drug–drug interactions among US adults treated with nirmatrelvir/ritonavir. Pharmacotherapy. 2023;43(12):1251-1261. [4 citations]
  • Sharathkumar A, Wendt L, Ortman C, Srinivasan R, Chute CG, et al. COVID-19 outcomes in persons with hemophilia. J Thromb Haemost. 2024 Jan;22(1):61-75. [3 citations]
  • Mastoloni EM, French E, Coelho DH, et al. Impact of nutritional status on COVID‐19‐induced olfactory dysfunction. Laryngoscope. 2024;134(10):4338-4343. [2 citations]
  • Vinson AJ, Schissel M, Anzalone AJ, et al. The Prevalence of Post-Acute Sequelae of COVID-19 in Solid Organ Transplant Recipients. Am J Transplant. 2024. [2 citations]
  • Vinson AJ, Anzalone A, Schissel M, et al. Hormone replacement therapy and COVID-19 outcomes in solid organ transplant recipients. Am J Transplant. 2023;23(7):1035-1047. [2 citations]
  • Qin Q, Wilkins K, Jones SE, et al. Evaluating COVID-19 vaccine effectiveness during pre-Delta, Delta and Omicron dominant periods among pregnant people. BMJ Public Health. 2024;2(1). [1 citation]
  • Alur-Gupta S, Boland MR, Dokras A, et al. Risk of SARS-CoV-2 infection among women with PCOS. Fertil Steril. 2023;119(5):847-857. [1 citation]
  • Anzalone AJ, Jackson LE, Singh N, et al. Long‐Term Mortality Following SARS‐CoV‐2 Infection in Rural Versus Urban Dwellers With Autoimmune or Inflammatory Rheumatic Disease. Arthritis Care Res. 2025;77(1):143-155.
  • Hung P, Yu J, Harrison SE, et al. Racial and ethnic and rural variations in hybrid prenatal care. JAMA Netw Open. 2024;7(12):e2449243.
  • Bergquist T, Loomba J, Pfaff E, et al. Crowd-sourced machine learning prediction of long COVID. EBioMedicine. 2024;108.
  • Verhagen NB, Geissler T, SenthilKumar G, et al. From Alpha to Omicron and Beyond: Associations Between SARS-CoV-2 Variants and Surgical Outcomes. J Surg Res. 2024;301:71-79.
  • Ge J, Far AT, Digitale JC, et al. Decreasing Case Fatality Rates for Patients With Cirrhosis Infected With SARS-CoV-2. Clin Gastroenterol Hepatol. 2024.
  • Grimsley EA, Torikashvili JV, Janjua HM, et al. Nonelective coronary artery bypass graft outcomes and COVID-19 infection. JTCVS Open. 2023;16:342-352.
  • Zhang XT, Kim G, Ballen S, et al. Patient Characteristics Associated with ER Visits in a Direct Primary Care Practice. AMIA. 2020. (presentation but searchable)
  • Zhang X. Clinical content coverage evaluation on ICD-11: The third in series [dissertation]. Johns Hopkins University; 2019. (dissertation, not published yet)

TEACHING EXPERIENCE

Implementing Fast Healthcare Interoperability Resources    Mar. 2021 – May. 2021

Johns Hopkins School of Medicine

  • Teaching assistant for Dr. Paul Nagy and Prof. Teri Sippel Schmidt
  • Prepared lectures, assignments, in-class exercises, and discussions

Clinical Data Analysis with Python        Jan. 2021 – Mar. 2021

Johns Hopkins School of Medicine

  • Course instructor with Dr. Paul Nagy
  • ETL development for OMOP datasets
  • Lecture and assignment preparation

SKILLS & CERTIFICATIONS

  • Programming: R, Python, MS SQL/Oracle SQL
  • Healthcare Standards: FHIR Modeling
  • Tools: Photoshop, ArcGIS, NVivo

Certifications:

  • Data Science Track (JHU) – R programming and data analysis
  • Python for Everyone (UMich) – Python Programming
  • From Excel to MySQL (Duke) – Excel and SQL skills
  • Natural Language Processing Nanodegree (Udacity)

HONORS & AWARDS

  • Individual Award, Second Class, West China School of Medicine (2013-2014)
  • Outstanding Volunteer of Sichuan University (2012-2013)