Parag Goyal

According to our database1, Parag Goyal authored at least 10 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Returning study results to research participants: Data access, format, and sharing preferences.
Int. J. Medical Informatics, 2023

2022
Building trust in research through information and intent transparency with health information: representative cross-sectional survey of 502 US adults.
J. Am. Medical Informatics Assoc., 2022

Comparing automated vs. manual data collection for COVID-specific medications from electronic health records.
Int. J. Medical Informatics, 2022

Building Trust in Research Through Information and Intent Transparency with Health Information.
Proceedings of the AMIA 2022, 2022

Patient Experiences with a Technology-Facilitated N-of-1 Clinical Trial for Shared Decision-Making about Beta-Blocker Medication Usage.
Proceedings of the AMIA 2022, 2022

2021
Comparing Automated Extraction to Manual Chart Review for COVID-Specific Research Data Abstraction: A Case Study.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Public Perspectives on the Ethical Collection and Sharing of Consumer-Generated Health Information.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Patient Preferences for Accessing, Communicating, and Sharing Health Information using Visualized Patient-Reported Outcomes.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Multi-site Evaluation of Longitudinal Changes in Ejection Fraction in Heart Failure Patients Through Data-driven Phenotyping.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Visual analogies, not graphs, increase patients' comprehension of changes in their health status.
J. Am. Medical Informatics Assoc., 2020


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