Profile • Publications

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Research, writing, and software projects across pharmacovigilance, data science, and statistical computing.

Profile

Jeffery Painter

Raleigh, NC

Education

  • MS — Georgia Institute of Technology, Computer Science (2024)
  • JD — NCCU School of Law (2015)
  • BS — NCSU, Applied Mathematics (2009)
  • BS — NCSU, Computer Science (2007), minors in Statistics & Cognitive Science

Curriculum Vitae (PDF)

Jeffery Painter

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Publications

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  Title Citation Year

1.

Leveraging Semantic Clinical Similarity to Improve Early Signal Detection
Painter, Jeffery. Leveraging Semantic Clinical Similarity to Improve Early Signal Detection: Ontology-Informed Bayesian Borrowing for Pharmacovigilance Signal Detection. , 2026.

2026

2.

Large language models and retrieval augmented generation for complex clinical codelists: evaluating performance and assessing failure modes
Matthewman, Julian, Denaxas, Spiros, Langan, Sinead, Painter Jr, Jeffery L, and Bate, Andrew. Large language models and retrieval augmented generation for complex clinical codelists: evaluating performance and assessing failure modes. medRxiv, 2026.

2026

3.

Development of a European Union Time-Indexed Reference Dataset for Assessing the Performance of Signal Detection Methods in Pharmacovigilance using a Large Language Model
Kefala, Maria, Painter, Jeffery L, Bukhari, Syed Tauhid, and Sessa, Maurizio. Development of a European Union Time-Indexed Reference Dataset for Assessing the Performance of Signal Detection Methods in Pharmacovigilance using a Large Language Model. arXiv preprint arXiv:2603.26544, 2026.

2026

4.

CTG-DB: An Ontology-Based Transformation of ClinicalTrials.gov to Enable Cross-Trial Drug Safety Analyses
Painter, J.L., Haguinet, F., and Bate, A.. CTG-DB: An Ontology-Based Transformation of ClinicalTrials.gov to Enable Cross-Trial Drug Safety Analyses. , 2026.

2026

5.

Orchestrating generative AI in pharmacovigilance: predicting and preempting the unpredictable
Ramcharran, Darmendra, Painter, Jeffery L, Kara, Vijay, Glaser, Michael, Vanini, Marco, Chalamalasetti, Venkateswara Rao, Golds, Christopher, Abdelkarim, Azza, Bate, Andrew, and Stegmann, Jens-Ulrich. Orchestrating generative AI in pharmacovigilance: predicting and preempting the unpredictable. Therapeutic Advances in Drug Safety, 2025.

2025

6.

The Need for Guardrails with Large Language Models in Pharmacovigilance and Other Medical Safety Critical Settings
Hakim, Joe B, Painter, Jeffery L, Ramcharran, Darmendra, Kara, Vijay, Powell, Greg, Sobczak, Paulina, Sato, Chiho, Bate, Andrew, and Beam, Andrew. The need for guardrails with large language models in pharmacovigilance and other medical safety critical settings. Scientific Reports, 2025.

2025

7.

Perspective review: Will generative AI make common data models obsolete in future analyses of distributed data networks?
Jeffery L. Painter, Darmendra Ramcharran, and Andrew Bate. Perspective review: Will generative AI make common data models obsolete in future analyses of distributed data networks?. Therapeutic Advances in Drug Safety, 2025.

2025

8.

Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events
Haguinet, F., Painter, J.L., Powell, G.E., Callegaro, A, and Bate, A.. Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events. , 2025.

2025

9.

Ontology-based Semantic Similarity Measures for Clustering Medical Concepts in Drug Safety
Painter, J.L., Haguinet, F., Powell, G.E., and Bate, A.. Ontology-based Semantic Similarity Measures for Clustering Medical Concepts in Drug Safety. , 2025.

2025

10.

PVLens: Enhancing Pharmacovigilance Through Automated Label Extraction
Painter, J.L., Powell, G.E., and Bate, A.. PVLens: Enhancing pharmacovigilance through automated label extraction. , 2025.

2025

11.

Automating pharmacovigilance evidence generation: using large language models to produce context-aware structured query language
Painter, Jeffery L, Chalamalasetti, Venkateswara Rao, Kassekert, Raymond, and Bate, Andrew. Automating pharmacovigilance evidence generation: using large language models to produce context-aware structured query language. JAMIA open, 2025.

2025

12.

An Application of Bayesian Modelling for Information Sharing in Safety Signal Detection
Haguinet, F, Mahaux O, Painter, J.L., and Bate, A.. An Application of Bayesian Modelling for Information Sharing in Safety Signal Detection. , 2024.

2024

13.

Ontology-based Semantic Similarity Measures in Drug Safety: A Literature Review
Haguinet, F, Painter, J.L., and Bate, A.. Ontology-based Semantic Similarity Measures in Drug Safety: A Literature Review. , 2024.

2024

14.

Developing an R Shiny Interactive Module for Teaching Statistics to High School Students
Painter, Jeffery. Developing an R Shiny Interactive Module for Teaching Statistics to High School Students. , 2024.

2024

15.

The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem
Hakim, Joe B, Painter, Jeffery L, Ramcharran, Darmendra, Kara, Vijay, Powell, Greg, Sobczak, Paulina, Sato, Chiho, Bate, Andrew, and Beam, Andrew. The Need for Guardrails with Large Language Models in Medical Safety-Critical Settings: An Artificial Intelligence Application in the Pharmacovigilance Ecosystem. arXiv preprint arXiv:2407.18322, 2024.

2024

16.

Refining the impact of genetic evidence on clinical success
Minikel, Eric Vallabh, Painter, Jeffery L, Dong, Coco Chengliang, and Nelson, Matthew R. Refining the impact of genetic evidence on clinical success. Nature, 2024.

2024

17.

Enhancing Drug Safety Documentation Search Capabilities with Large Language Models: A User-Centric Approach
Painter, Jeffery L, Mahaux, Olivia, Vanini, Marco, Kara, Vijay, Roshan, Christie, Karwowski, Marcin, Chalamalasetti, Venkateswara Rao, and Bate, Andrew. Enhancing drug safety documentation search capabilities with large language models: a user-centric approach. , 2023.

2023

18.

Semi-automation of keratopathy visual acuity grading of corneal events in belantamab mafodotin clinical trials: clinical decision support software
Talekar, Mala K, Painter, Jeffery L, Elizalde, Mica A, Thomas, Michele, and Stein, Heather K. Semi-automation of keratopathy visual acuity grading of corneal events in belantamab mafodotin clinical trials: clinical decision support software. Frontiers in Digital Health, 2023.

2023

19.

NLP and Machine Learning to Automate Identification of Suspected Medication Errors from Real World Unstructured Narratives
J Painter, F Haguinet, C Cranfield, A Bate. ISPOR: Value in Health Informatics, June 2023, Boston, MA, USA. https://doi.org/10.1016/j.jval.2023.03.1556

2023

20.

An industry perspective on the use of machine learning in drug and vaccine safety
Painter, Jeffery L, Kassekert, Raymond, and Bate, Andrew. An industry perspective on the use of machine learning in drug and vaccine safety. Frontiers in Drug Safety and Regulation, 2023.

2023

21.

Leveraging Data Pathways for Next Generation Safety Monitoring of Medicines and Vaccines
Painter, Jeffery L, Girard, Laurie, Glaser, Michael, and Bate, Andrew. Leveraging Data Pathways for Next Generation Safety Monitoring of Medicines and Vaccines. , 2022.

2022

22.

Identifying Barriers to Enrollment in Patient Pregnancy Registries: Building Evidence Through Crowdsourcing
Pimenta, Jeanne M, Painter, Jeffery L, Gemzoe, Kim, Levy, Roger Abramino, Powell, Marcy, Meizlik, Paige, and Powell, Gregory. Identifying barriers to enrollment in patient pregnancy registries: building evidence through crowdsourcing. JMIR Formative Research, 2022.

2022

23.

Engaging Patients via Online Healthcare Fora: Three Pharmacovigilance Use Cases
Powell, Greg, Kara, Vijay, Painter, Jeffery L, Schifano, Lorrie, Merico, Erin, and Bate, Andrew. Engaging patients via online healthcare fora: three pharmacovigilance use cases. Frontiers in Pharmacology, 2022.

2022

24.

Artificial Intelligence Based on Machine Learning in Pharmacovigilance: A Scoping Review
Kompa, Benjamin, Hakim, Joe B, Palepu, Anil, Kompa, Kathryn Grace, Smith, Michael, Bain, Paul A, Woloszynek, Stephen, Painter, Jeffery L, Bate, Andrew, and Beam, Andrew L. Artificial intelligence based on machine learning in pharmacovigilance: a scoping review. Drug Safety, 2022.

2022

25.

Longitudinal Medical Insights from Internet Fora
Powell, Gregory, Painter, Jeffery L, Jay, Jessica, Yin, Shengmei, and Bate, Andrew. Longitudinal medical insights from internet fora. , 2020.

2020

26.

Developing Crowdsourced Training Data Sets for Pharmacovigilance Intelligent Automation
Gartland, Alex, Bate, Andrew, Painter, Jeffery L, Casperson, Tim A, and Powell, Gregory Eugene. Developing crowdsourced training data sets for pharmacovigilance intelligent automation. Drug Safety, 2021.

2020

27.

Crowdsourcing as a novel method to assess the impact of drug exposure on Belimumab pregnancy registry enrollment
Gemzoe, Kim, Painter, Jeffery L, Pimenta, Jeanne, and Powell, Greg. Crowdsourcing as a novel method to assess the impact of drug exposure on Belimumab pregnancy registry enrollment. , 2019.

2019

28.

A Day in the Life of a Data Scientist: Modeling the Impact of Subscriber Attrition with Variability
LinkedIn Article by JL Painter, Dec 13, 2017.

2017

29.

Leveraging Crowdsourcing to Help Classify Social Media Data for Medical and Patient Safety Insights
Alex Gartland, JL Painter, Tim Casperson and Greg E. Powell. AMIA Poster Presentation, Washington, DC, Nov 04-08, 2017.

2017

30.

Case Study: Computing Complexity Scores to Identify Patients of Interest from Inspire.com Forums for Safety and Beyond
Michele Thomas, Amy Curry, JL Painter, Arhooj Akhtar, Lorrie Schifano, and Greg E. Powell , DIA Poster Presentation, Chicago, IL, June 20, 2017.

2017

31.

DIAmond session: People Will Talk: Gathering Insights from Digital Listening
Lorrie Schifano, PharmD (Chair), DIA, Chicago, IL, June 20, 2017.

2017

32.

Using Social Listening Data to Monitor Misuse and Nonmedical Use of Bupropion: A Content Analysis
Anderson, Laurie S, Bell, Heidi G, Gilbert, Michael, Davidson, Julie E, Winter, Christina, Barratt, Monica J, Win, Beta, Painter, Jeffery L, Menone, Christopher, Sayegh, Jonathan, and others. Using social listening data to monitor misuse and nonmedical use of bupropion: a content analysis. JMIR Public Health and Surveillance, 2017.

2017

33.

On the Perils and Pitfalls of PRR Analysis
Jeffery Painter. , JSM, Chicago, IL, July, 2016.

2016

34.

Application of Classification and Clustering Methods on mVoC (Medical Voice of Customer) data for Scientific Engagement
Yingzi Xu, JL Painter. , JSM, Chicago, IL, July, 2016.

2016

35.

Strategies for distributed curation of social media data for safety and pharmacovigilance
Casperson, Tim A, Painter, Jeffery L, and Dietrich, Juergen. Strategies for distributed curation of social media data for safety and pharmacovigilance. , 2016.

2016

36.

Social Media Listening for Routine Post-Marketing Safety Surveillance
Powell, Gregory E, Seifert, Harry A, Reblin, Tjark, Burstein, Phil J, Blowers, James, Menius, J Alan, Painter, Jeffery L, Thomas, Michele, Pierce, Carrie E, Rodriguez, Harold W, and others. Social media listening for routine post-marketing safety surveillance. Drug safety, 2016.

2016

37.

Performance of Stratified and Subgrouped Disproportionality Analyses in Spontaneous Databases
Seabroke, Suzie, Candore, Gianmario, Juhlin, Kristina, Quarcoo, Naashika, Wisniewski, Antoni, Arani, Ramin, Painter, Jeffery, Tregunno, Philip, Noren, G Niklas, and Slattery, Jim. Performance of stratified and subgrouped disproportionality analyses in spontaneous databases. Drug safety, 2016.

2016

38.

Safety Assessment and Selection Bias: Who uses social media to communicate about medications?
DiSantostefano, Rachael L, Painter, Jeffery L, Thomas, Michele, and Powell, Greg. Safety Assessment and Selection Bias: Who Uses Social Media to Communicate About Medications?. , 2015.

2015

39.

What are People Talking About? Medication Discussions on Social Media
Thomas, Michele, Turnbull, Bradley, Painter, Jeffery, DiSantostefano, Rachael, and Powell, Greg. What are People Talking About? Medication Discussions on Social Media. , 2015.

2015

40.

Comparison of Events in Spontaneous Adverse Event Reports To Events Discussed Within Context of Drug Use on Facebook and Twitter
Powell, Gregory, Bell, Heidi, Rodriguez, Harold, Thomas, Michele, Painter, Jeffery, Harvey, Cath, Blowers, James, and Dasgupta, Nabarun. Comparison of Events in Spontaneous Adverse Event Reports to Events Discussed Within Context of Drug Use on Facebook and Twitter. , 2015.

2015

41.

The support of human genetic evidence for approved drug indications
Nelson, Matthew R, Tipney, Hannah, Painter, Jeffery L, Shen, Judong, Nicoletti, Paola, Shen, Yufeng, Floratos, Aris, Sham, Pak Chung, Li, Mulin Jun, Wang, Junwen, and others. The support of human genetic evidence for approved drug indications. Nature genetics, 2015.

2015

42.

A proposed modification to Hy's law and Edish criteria in oncology clinical trials using aggregated historical data
Parks, Daniel, Lin, Xiwu, Painter, Jeffery L, Cheng, Jie, Hunt, Christine M, Spraggs, Colin F, Nelson, Jeanenne J, Curtis, Lloyd, Menius, J Alan, and Lee, Kwan R. A proposed modification to Hy's law and Edish criteria in oncology clinical trials using aggregated historical data. Pharmacoepidemiology and drug safety, 2013.

2013

43.

Predicting breast cancer chemotherapeutic response using a novel tool for microarray data analysis
Cheng, Jie, Greshock, Joel, Painter, Jeffery, Lin, Xiwu, Lee, Kwan, Zheng, Shu, and Menius, Alan. Predicting breast cancer chemotherapeutic response using a novel tool for microarray data analysis. Journal of integrative bioinformatics, 2012.

2012

44.

Performance of Observational Screening by System Organ Class
Powell, Gregory E and Painter, Jeffery L. Performance of observational screening by system organ class. , 2012.

2012

45.

Validation of multivariate outlier detection analyses used to identify potential drug-induced liver injury in clinical trial populations
Lin, Xiwu, Parks, Daniel, Painter, Jeffery, Hunt, Christine M, Stirnadel-Farrant, Heide A, Cheng, Jie, Menius, Alan, and Lee, Kwan. Validation of multivariate outlier detection analyses used to identify potential drug-induced liver injury in clinical trial populations. Drug safety, 2012.

2012

46.

An Imaging Framework for the Analysis of Longitudinal High-Dimensional Data
Painter, Jeffery L. An Imaging Framework for the Analysis of Longitudinal High-Dimensional Data. , 2012.

2012

47.

Enhanced Biomedical Taxonomy Mapping Through Use of A Semantic Measure of Proximity
Painter, Jeffery L.. Enhanced Biomedical Taxonomy Mapping Through Use of a Semantic Measure of Proximity. , 2011.

2011

48.

Development and evaluation of a common data model enabling active drug safety surveillance using disparate healthcare databases
Reisinger, Stephanie J, Ryan, Patrick B, O'Hara, Donald J, Powell, Gregory E, Painter, Jeffery L, Pattishall, Edward N, and Morris, Jonathan A. Development and evaluation of a common data model enabling active drug safety surveillance using disparate healthcare databases. Journal of the American Medical Informatics Association, 2010.

2010

49.

Containing the Cloud: Security Issues in a Large Scale Observational Pharmacovigilance Research Project
Painter, Jeffery L.. Containing the Cloud: Security Issues in a Large-Scale Observational Pharmacovigilance Research Project. , 2010.

2010

50.

Towards Automating an Inference Model on Unstructured Terminologies: OXMIS Case Study
Painter, Jeffery L. Toward automating an inference model on unstructured terminologies: OXMIS case study. , 2010.

2010

51.

CodeSlinger: An Interactive Biomedical Ontology Browser
Painter, Jeffery L and Flowers, Natalie L. Codeslinger: An interactive biomedical ontology browser. , 2009.

2009

52.

Construction and Annotation of a UMLS/SNOMED-based Drug Ontology for Observational Pharmacovigilance
Merrill, Gary H, Ryan, Patrick B, and Painter, Jeffery L. Construction and annotation of a UMLS/SNOMED-based drug ontology for observational pharmacovigilance. Methods, 2008.

2008

53.

Defining medical conditions by mapping ICD-9 to MedDRA: A systematic approach to integrating disparate observational data sources for enabling enhanced pharmacovigilance analyses
Ryan, PB, Painter, JL, and Merrill, GH. Defining medical conditions by mapping ICD-9 to MedDRA: a systematic approach to integrating disparate observational data sources for enabling enhanced pharmacovigilance analyses. , 2008.

2008

54.

Using SNOMED to Normalize and Aggregate Drug References in the SafetyWorks Observational Pharmacovigilance Project
Merrill, Gary H, Ryan, Patrick B, and Painter, Jeffery L. Using SNOMED to normalize and aggregate drug references in the Safetyworks observational pharmacovigilance project. KR-MED 2008, 2008.

2008

55.

A Mapping Between SNOMED-CT and the OXMIS Coding Scheme
JL Painter. KR-MED, Phoenix, AZ 2008, (Poster session).

2008

56.

Introduction to the UMLS for Text Analytics
JL Painter and GH Merrill. Technical Briefing for NC State Univeristy's Advanced Analytics Graduate Program. Presented September 12, 2007.

2007

57.

Inter-translation of Biomedical Coding Schemes Using UMLS
Painter, Jeffrey L, Kleiner, Kristopher M, and Merrill, Gary H. Inter-translation of Biomedical Coding Schemes Using UMLS. , 2006.

2006