Projects and Grants per year
Personal profile
Research Interests
clinical data warehousing, natural language processing, visualization, geospatial analysis
Biography
Dr. Daniel Harris is a computer scientist and an assistant professor in the Department of Pharmacy Practice and Science and the Director of Clinical Research Analytics for the Institute of Pharmaceutical Outcomes and Policy at the University of Kentucky. He received his PhD from the University of Kentucky.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Philosophy, University Of Kentucky
2017
Bachelor of Science in Computer Science, University Of Kentucky
2008
Keywords
- QA75 Electronic computers. Computer science
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Collaborations and top research areas from the last five years
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Rapid Actionable Data for Opioid Response in Kentucky (RADOR-KY)
Slavova, S. (PI), Bumgardner, V. (CoI), Freeman, P. (CoI), Harris, D. (CoI), Lofwall, M. (CoI), Thompson, K. (CoI), Walsh, S. (CoI), Westgate, P. (CoI) & Talbert, J. (CoPI)
National Institute on Drug Abuse
7/1/24 → 9/29/25
Project: Research project
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Administrative Supplement: Rapid Actionable Data for Opioid Response in Kentucky (RADOR-KY)
Slavova, S. (PI), Bumgardner, V. (CoI), Freeman, P. (CoI), Harris, D. (CoI), Lofwall, M. (CoI), Walsh, S. (CoI), Westgate, P. (CoI) & Talbert, J. (CoPI)
National Institute on Drug Abuse
7/1/24 → 9/29/25
Project: Research project
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Administrative Supplement: Enhancing Opioid Surveillance in RADOR-KY using social media
Slavova, S. (PI), Bumgardner, V. (CoI), Harris, D. (CoI), Kizewski, A. (CoI) & Talbert, J. (CoI)
National Institute on Drug Abuse
7/1/24 → 9/29/25
Project: Research project
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Diversity Supplement for Hammerslag - Rapid Actionable Data for Opioid Response in Kentucky (RADOR-KY)
Slavova, S. (PI), Bumgardner, V. (CoI), Freeman, P. (CoI), Hammerslag, L. (CoI), Harris, D. (CoI), Lofwall, M. (CoI), Walsh, S. (CoI), Westgate, P. (CoI) & Talbert, J. (CoPI)
National Institute on Drug Abuse
7/1/24 → 9/29/25
Project: Research project
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Fast and Fine: NLP Methods for Near Real-Time and Fine-Grained Overdose Surveillance
Kavuluru, R. (PI), Akpunonu, P. (CoI), Delcher, P. (CoI) & Harris, D. (CoI)
National Institute on Drug Abuse
9/30/22 → 9/29/25
Project: Research project
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A multi-method spatial examination of factors associated with changes in geographic accessibility to buprenorphine providers in HEALing communities study states Kentucky, Massachusetts, and Ohio
Shrestha, S., Lewis, O., Harris, D., Rock, P., Silwal, A., Srinivasan, S. & Stopka, T. J., May 2025, In: Preventive Medicine Reports. 53, 103045.Research output: Contribution to journal › Article › peer-review
Open Access -
Employment industry and opioid overdose risk: A pre- and post-COVID-19 comparison in Kentucky and Massachusetts 2018–2021
Srinivasan, S., Shrestha, S., Harris, D. R., Lewis, O., Rock, P., Silwal, A., Pustz, J., Oh, S., Barboza-Salerno, G. & Stopka, T. J., Feb 2025, In: Spatial and Spatio-temporal Epidemiology. 52, 100701.Research output: Contribution to journal › Article › peer-review
Open Access -
Identification of Naloxone in Emergency Medical Services Data Substantially Improves by Processing Unstructured Patient Care Narratives
Harris, D. R., Rock, P., Anthony, N., Quesinberry, D. & Delcher, C., 2025, (Accepted/In press) In: Prehospital Emergency Care.Research output: Contribution to journal › Article › peer-review
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The impact of buprenorphine prescriber data on geospatial access to treatment in HEALing Communities Study communities, 2022
Harris, D. R., Shrestha, S., Rock, P., Silwal, A., Barboza-Salerno, G., Lewis, O., Srinivasan, S. & Stopka, T. J., Jan 27 2025, (E-pub ahead of print) In: Journal of substance use and addiction treatment. 171, p. 209625Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
A Case Demonstration of the Open Health Natural Language Processing Toolkit From the National COVID-19 Cohort Collaborative and the Researching COVID to Enhance Recovery Programs for a Natural Language Processing System for COVID-19 or Postacute Sequelae of SARS CoV-2 Infection: Algorithm Development and Validation
National COVID Cohort Collaborative, Sep 9 2024, In: JMIR Medical Informatics. 12, p. e49997Research output: Contribution to journal › Article › peer-review
1 Scopus citations