Jeffrey G. Klann, Ph.D.
Affiliations: | 2011 | Informatics | Indiana University, Bloomington, Bloomington, IN, United States |
Area:
Medicine and Surgery, Computer Science, Information TechnologyGoogle:
"Jeffrey Klann"Parents
Sign in to add mentor| Gunther Schadow | grad student | 2011 | Indiana University | |
| (An automated system for generating situation-specific decision support in clinical order entry from local empirical data.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Klann JG, Henderson DW, Morris M, et al. (2023) A broadly applicable approach to enrich electronic-health-record cohorts by identifying patients with complete data: a multisite evaluation. Journal of the American Medical Informatics Association : Jamia |
| Visweswaran S, Samayamuthu MJ, Morris M, et al. (2021) Development of a Coronavirus Disease 2019 (COVID-19) Application Ontology for the Accrual to Clinical Trials (ACT) network. Jamia Open. 4: ooab036 |
| Visweswaran S, Samayamuthu MJ, Morris M, et al. (2021) Development of a COVID-19 Application Ontology for the ACT Network. Medrxiv : the Preprint Server For Health Sciences |
| Kohane IS, Aronow BJ, Avillach P, et al. (2021) What Every Reader Should Know About Studies Using Electronic Health Record Data but May be Afraid to Ask. Journal of Medical Internet Research |
| Ong MS, Klann JG, Lin KJ, et al. (2020) Claims-Based Algorithms for Identifying Patients With Pulmonary Hypertension: A Comparison of Decision Rules and Machine-Learning Approaches. Journal of the American Heart Association. e016648 |
| Raisaro JL, Marino F, Troncoso-Pastoriza J, et al. (2020) SCOR: A secure international informatics infrastructure to investigate COVID-19. Journal of the American Medical Informatics Association : Jamia |
| Estiri H, Klann JG, Murphy SN. (2019) A clustering approach for detecting implausible observation values in electronic health records data. Bmc Medical Informatics and Decision Making. 19: 142 |
| Hripcsak G, Shang N, Peissig PL, et al. (2019) Facilitating phenotype transfer using a common data model. Journal of Biomedical Informatics. 103253 |
| Estiri H, Klann JG, Weiler SR, et al. (2019) A federated EHR network data completeness tracking system. Journal of the American Medical Informatics Association : Jamia |
| Klann JG, Joss MAH, Embree K, et al. (2019) Data model harmonization for the All Of Us Research Program: Transforming i2b2 data into the OMOP common data model. Plos One. 14: e0212463 |