Weng, Chunhua

Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research

Weiskopf, N. G., & Weng, C. (2013) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 1,216

A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data

Kahn, M. G., Callahan, T. J., Barnard, J., Bauck, A. E., Brown, J., Davidson, B. N., Estiri, H., Goerg, C., Holve, E., Johnson, S. G., et al. (2016) · eGEMs (Generating Evidence & Methods to improve patient outcomes)

Medical Coding and Health InformationElectronic Health Records Systems

Cited by 697

Evaluating large language models on medical evidence summarization

Tang, L., Sun, Z., Idnay, B., Nestor, J. G., Soroush, A., Elias, P. A., Xu, Z., Ding, Y., Durrett, G., Rousseau, J. F., et al. (2023) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 423

Evaluating Large Language Models on Medical Evidence Summarization

Tang, L., Sun, Z., Idnay, B., Nestor, J. G., Soroush, A., Elias, P. A., Xu, Z., Ding, Y., Durrett, G., Rousseau, J., et al. (2023) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 423

Defining and measuring completeness of electronic health records for secondary use

Weiskopf, N. G., Hripcsak, G., Swaminathan, S., & Weng, C. (2013) · Journal of Biomedical Informatics

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 367

Criteria2Query: a natural language interface to clinical databases for cohort definition

Yuan, C., Ryan, P. B., Ta, C., Guo, Y., Li, Z., Hardin, J., Makadia, R., Jin, P., Shang, N., Kang, T., et al. (2019) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesElectronic Health Records Systems

Cited by 170

A Data Quality Assessment Guideline for Electronic Health Record Data Reuse

Weiskopf, N. G., Bakken, S., Hripcsak, G., & Weng, C. (2017) · eGEMs (Generating Evidence & Methods to improve patient outcomes)

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 152

Hidden in plain sight: bias towards sick patients when sampling patients with sufficient electronic health record data for research

Rusanov, A., Weiskopf, N. G., Wang, S., & Weng, C. (2014) · BMC Medical Informatics and Decision Making

Electronic Health Records SystemsMedical Coding and Health Information

Cited by 137

Translating evidence into practice: eligibility criteria fail to eliminate clinically significant differences between real-world and study populations

Averitt, A. J., Weng, C., Ryan, P., & Perotte, A. (2020) · npj Digital Medicine

Advanced Causal Inference TechniquesMeta-analysis and systematic reviews

Cited by 137

Large language models in biomedicine and health: current research landscape and future directions

Lu, Z., Peng, Y., Cohen, T., Ghassemi, M., Weng, C., & Tian, S. (2024) · Journal of the American Medical Informatics Association

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 92

Assessing Socioeconomic Bias in Machine Learning Algorithms in Health Care: A Case Study of the HOUSES Index

Juhn, Y. J., Ryu, E., Wi, C.-I., King, K. S., Malik, M., Romero-Brufau, S., Weng, C., Sohn, S., Sharp, R. R., & Halamka, J. D. (2022) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareEthics and Social Impacts of AI

Cited by 83

Using EHRs to integrate research with patient care: promises and challenges: Table 1

Weng, C., Appelbaum, P., Hripcsak, G., Kronish, I., Busacca, L., Davidson, K. W., & Bigger, J. T. (2012) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsEthics in Clinical Research

Cited by 82

Leveraging long context in retrieval augmented language models for medical question answering

Zhang, G., Xu, Z., Jin, Q., Chen, F., Fang, Y., Liu, Y., Rousseau, J. F., Xu, Z., Lu, Z., Weng, C., et al. (2025) · npj Digital Medicine

Topic ModelingInformation Retrieval and Search Behavior

Cited by 81

AI-generated text may have a role in evidence-based medicine

Peng, Y., Rousseau, J. F., Shortliffe, E. H., & Weng, C. (2023) · Nature Medicine

Artificial Intelligence in Healthcare and EducationBiomedical Text Mining and Ontologies

Cited by 64

Assessing the utility of large language models for phenotype-driven gene prioritization in the diagnosis of rare genetic disease

Kim, J., Wang, K., Weng, C., & Liu, C. (2024) · The American Journal of Human Genetics

Genomics and Rare DiseasesBiomedical Text Mining and Ontologies

Cited by 53

Rare disease diagnosis using knowledge guided retrieval augmentation for ChatGPT

Zelin, C., Chung, W. K., Jeanne, M., Zhang, G., & Weng, C. (2024) · Journal of Biomedical Informatics

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 47

Clinical research informatics: a conceptual perspective

Kahn, M. G., & Weng, C. (2012) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsResearch Data Management Practices

Cited by 40

Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness

Zhang, G., Jin, Q., Jered McInerney, D., Chen, Y., Wang, F., Cole, C. L., Yang, Q., Wang, Y., Malin, B. A., Peleg, M., et al. (2024) · Journal of Biomedical Informatics

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 40

Clinical decision support for therapeutic decision-making in cancer: a systematic review

Beauchemin, M., Murray, M. T., Sung, L., Hershman, D. L., Weng, C., & Schnall, R. (2019) · International Journal of Medical Informatics

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 38

Evidence appraisal: a scoping review, conceptual framework, and research agenda

Goldstein, A., Venker, E., & Weng, C. (2017) · Journal of the American Medical Informatics Association

Meta-analysis and systematic reviewsHealth Sciences Research and Education

Cited by 30

Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: Multi-Method Study

Cho, S., Weng, C., Kahn, M. G., & Natarajan, K. (2021) · JMIR mHealth and uHealth

Data Quality and ManagementResearch Data Management Practices

Cited by 28

EvidenceMap: a three-level knowledge representation for medical evidence computation and comprehension

Kang, T., Sun, Y., Kim, J. H., Ta, C., Perotte, A., Schiffer, K., Wu, M., Zhao, Y., Moustafa-Fahmy, N., Peng, Y., et al. (2023) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesMeta-analysis and systematic reviews

Cited by 14

A neuro-symbolic method for understanding free-text medical evidence.

Kang, T., Turfah, A., Kim, J., Perotte, A., & Weng, C. (2021) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 11

TimeX: Phenotype Onset Extraction from Clinical Narratives

Chen, F., Jiang, S., Nguyen, Q. M., Ta, C. N., Wang, K., Chung, W. K., & Weng, C. (2026) · npj Health Systems

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 0