Meghan Reading Turchioe, PhD, MPH, RN

  • Assistant Professor of Nursing
Profile Headshot


Meghan Reading Turchioe’s program of research focuses on developing and implementing digital health technologies including mobile applications, wearable devices, and telehealth to support patient and clinician decision-making around chronic condition management, particularly cardiovascular diseases. Turchioe earned a PhD in nursing from Columbia University, MPH from George Washington University, and BSN from Boston College. She completed a postdoc in Health Informatics at Weill Cornell Medicine, where she also worked as an Instructor.

Her research is motivated by her experience as a cardiac nurse caring for a diverse patient population with multiple chronic conditions in New York City. A major focus of her work involves leveraging methods from data visualization, human factors, implementation science, and machine learning to generate insights from patient-generated health data and electronic health records and ultimately supporting patient decision-making. Turchioe’s research is supported by multiple grants from NIH and industry. In 2019, she received the Dissertation Research Award, and in 2022 the Early Career Alumni Award, from Columbia University School of Nursing. She was recently named an Alliance for Nursing Informatics (ANI) emerging leader. Turchioe serves on several committees through the American Heart Association (AHA) and American Medical Informatics Association (AMIA), including the AHA National Atrial Fibrillation Systems of Care Advisory Group Commission.

Academic Appointments

  • Assistant Professor of Nursing


  • Female

Credentials & Experience

Education & Training

  • BSN, 2012 Boston College Connell School of Nursing, Chestnut Hill, MA
  • MPH, 2015 George Washington University Milken Institute of Public Health, Washington, DC
  • PhD, 2018 Columbia University School of Nursing, New York, NY
  • Fellowship: 2020 Weill Cornell Medicine, New York, NY

Honors & Awards

Finalist, American Heart Association (AHA) Martha N. Hill Early Career Investigator Award 11/2022
Early Career Alumni Award: Emerging Nurse Leader, Columbia University School of Nursing 05/2022
Alliance for Nursing Informatics (ANI) emerging leader* 01/2022 – 12/2024
Honorarium, Weill Cornell Medicine Primary Care Innovations Symposium (top abstract) 02/2020
Research Travel Grant, AHA Council on Cardiovascular and Stroke Nursing (CVSN) (top abstract) 11/2019
Dissertation Research Award, Columbia University School of Nursing 06/2019
Jonas Nurse Leader Scholar, Jonas Center for Nursing and Veterans Healthcare 09/2016 – 06/2018



Title: “Data-driven shared decision-making to reduce symptom burden in atrial fibrillation” (R00NR019124)
Source: NIH/NINR
*Role: Principal Investigator
08/01/2022 – 07/31/2025
Title: “Atrial fibrillation among Black and Latinx heart failure patients: understanding clinical presentation and factors to promote technology-based surveillance”
Source: COMMUNITY (NIMHD P50MD017341) Investigator Development Core pilot grant/Health Equity Scholars Program
*Role: Principal Investigator
09/01/2022 – 08/31/2024
Title: “Engage & Connect: A scalable telehealth psychotherapy targeting social reward processing and behavioral activation to reduce symptoms of postpartum depression”
Source: American Psychological Foundation (APF) Walter Katkovsky Research Grant
*Role: MPI (Reading Turchioe/ Solomonov)
Contact PI: Solomonov
08/01/2022 – 07/31/2023
Title: “Improve the Meaning of Patient Reported Outcomes to eValuate Effectiveness for Cardiac Care (IMPROVE-Cardiac Care)” (R01HL161458)
Role: Co-investigator
PI: Masterson Creber
7/01/2022 – 06/30/2027
Title: “Bioethical Considerations for Building, Evaluating, and Implementing Artificial Intelligence in Perinatal Mood and Anxiety Disorders,” (R41MH124581-02S1-Administrative Supplement)
Source: NIH/NIMH
Role: Co-investigator
PI: Pathak
07/28/2022 – 06/30/2023
Title: “Risk modeling and shared decision making for postpartum depression” (R41MH124581)
Source: NIH/NIMH
Role: Co-investigator
PI: Pathak/ Laskoff
07/21/2021 – 06/30/2023
Title: “Using Mobile Integrated Health and Telehealth to Support Transitions of Care among Heart Failure Patients” (IHS-2019C2-17373)
Source: Patient Centered Outcomes Research Institute (PCORI)
Role: Co-investigator
PI: Masterson Creber
05/01/2020 – 4/30/2023

Selected Publications

*Denotes co-first authorship, **Denotes senior authorship.

  1. Louras N, Reading Turchioe M*, Topaz LS, Ellison M, Abudu-Solo J, Blutinger E, Munjal K, Daniels B, Masterson Creber R. Mobile Integrated Health Interventions for Older Adults: A Systematic Review. (in press). Innovation in Aging.
  2. Reading Turchioe M, Mangal S, Goyal P, Axsom K, Myers A, Grossman Liu L, Lee J, Campion TR, Masterson Creber R. Developing a scalable, visualization-based system for remote assessment with electronic patient-reported outcomes (ePROs). Applied Clinical Informatics. In press.
  3. Reading Turchioe M, Ancker JS, Volodarskiy A, Vapnik J, Sunkaraneni S, Slotwiner D. Experiences of care delays and telehealth use during the COVID-19 pandemic among patients and clinicians in Queens, New York. (in press). AMIA Annual Symposium Proceedings.
  4. Fanio J, Wang B, Zeng E, Slotwiner DJ, Reading Turchioe M.** (2023). Designing for patient decision-making: Design challenges generated by patients with atrial fibrillation during evaluation of a decision aid prototype. Frontiers in Digital Health; Sec. Human Factors and Digital Health.
  5. Reading Turchioe M, Mangal S, Ancker JS, Gwynn J, Varosy P, Slotwiner D. (2022). “Replace uncertainty with information”: Shared decision-making and decision quality surrounding catheter ablation for atrial fibrillation. European Journal of Cardiovascular Nursing. zvac078. doi: 10.1093/eurjcn/zvac078. PMID: 36031860.
  6. Reading Turchioe M, Ahmed R, Masterson Creber R, Axsom K, Horn E, Sayer G, Uriel N, Stein K, Slotwiner D. (2022). Detecting early physiologic changes unique to COVID-19 infection through cardiac implantable electronic device data. Cardiovascular digital health journal, 3(5):247-255. doi: 10.1016/j.cvdhj.2022.07.070. Epub 2022 Aug 4. PMID: 35942055; PMCID: PMC9349024.
  7. Reading Turchioe M, Soliman EZ, Goyal P, Merkler A, Kamel H, Cushman M, Soroka O, Masterson Creber R, Safford M. (2022). Atrial fibrillation and stroke symptoms in the REasons for Geographic and Racial differences in Stroke (REGARDS) study. Journal of the American Heart Association (JAHA); 11(2):e022921. doi: 10.1161/JAHA.121.022921. PMID: 35023350
  8. Reading Turchioe M, Volodarskiy A, Pathak J, Wright D, Tcheng J, Slotwiner D. (2021). State of the science of natural language processing in cardiology: A systematic review. Heart. doi: 10.1136/heartjnl-2021-319769. PMID: 34711662.
  9. Lee J, Reading Turchioe M*, Masterson Creber RM, Biviano A, Hickey K, Bakken S. (2021). Phenotypes of Engagement with Mobile Health Technology for Heart Rhythm Monitoring. JAMIA Open, 4(2). PMID: 34131638.
  10. Reading Turchioe M, Jimenez V, Isaac  S, Alshalabi M, Slotwiner D, Masterson Creber RM. (2020). Review of Mobile Applications for the Detection and Management of Atrial Fibrillation. Heart Rhythm O2; 1: 35-43. PMCID: PMC7351352.
  11. Reading Turchioe M, Grossman LV, Myers A, Pathak J, Masterson Creber RM. (2020). Correlates of Mental Health Symptoms Among US Adults During COVID-19, March–April 2020. Public Health Reports. PMID: 33211985.
  12. Reading Turchioe M, Burgermaster M, Mitchell EG, Desai PM, Mamykina L. (2020). Adapting the stage-based model of personal informatics for low-resource communities in the context of type 2 diabetes. Journal of Biomedical Informatics. PMID: 32961309.
  13. Reading Turchioe M, Grossman LV, Baik D, Lee CS, Maurer MS, Goyal P, Masterson Creber RM. (2020). Older adults can successfully monitor symptoms using an inclusively designed mobile application. Journal of the American Geriatrics Society. doi: 10.1111/jgs.16403. PMCID: PMC7323569.
  14. Reading Turchioe M*, Grossman LV*, Myers A, Baik D, Goyal P, Creber RM. (2020). Visual Analogies, Not Graphs, Increase Patients' Comprehension of Changes in their Health Status. Journal of the American Medical Informatics Association. PMCID: PMC7309237.
  15. Reading Turchioe M, Myers A, Isaac S, Baik D, Grossman LV, Ancker JS, Creber RM. (2019). A Systematic Review of Patient-Facing Visualizations of Personal Health Data. Applied Clinical Informatics; 10:751-770. 10.1055/s-0039-1697592. PMCID: PMC6785326.
  16. Reading Turchioe M, Heitkemper EH, Lor M, Burgermaster M, Mamykina L. (2019). Designing for engagement with self-monitoring: a user-centered approach with low-income, Latino adults with Type 2 Diabetes. International Journal of Medical Informatics; 130:10394. PMCID: PMC6746233.
  17. Reading M, Baik D, Beauchemin M, Hickey KT, Merrill J. (2018). Factors Influencing Sustained Engagement with ECG Self-Monitoring: Perspectives from Patients and Healthcare Providers. Applied Clinical Informatics, 9(4), 772-781. doi: 10.1055/s-0038-1672138. PMCID: PMC6179719.
  18. Reading M, Merrill J. (2018). Converging and Diverging Needs between Patients and Providers who are Collecting and Using Patient-Generated Health Data: An Integrative Review. Journal of the American Medical Informatics Association; 25(6): 759–771. PMCID: PMC5978018.



  1. Ancker JS, Reading Turchioe M. (2023). “The Promise of Patient Decision Support.” In R. Greenes (Ed.), Clinical Decision Support and Beyond. Progress and Opportunities in Knowledge-Enhanced Health and Health Care. Elsevier.
  2. Reading Turchioe M, Masterson Creber R. (2022). “User-centered development and evaluation of patient-facing visualizations of health information.” In P.S. Hsueh, T. Wetter, X. Zhu (Eds.), Personal Health Informatics: Patient Participation in Precision Health. Springer.
  3. Masterson Creber R, Reading Turchioe M. (2021). “Patient-facing data: challenges & opportunities.” In S. Mittal, D.J. Slotwiner (Eds.), Cardiac Electrophysiology Clinicals. Elsevier. 555-567. doi: 10.1016/j.ccep.2021.05.002. PMCID: PMC8328196.

For a complete list of publications, please visit MyNCBI.