1. Bruland, P, Forster, C, Breil, B, et al. Does single-source create an added value? Evaluating the impact of introducing x4T into the clinical routine on workflow modifications, data quality and cost-benefit. Int J Med Inform 2014; 83: 915–928.
Google Scholar |
Crossref |
Medline2. Natarajan, K, Stein, D, Jain, S, et al. An analysis of clinical queries in an electronic health record search utility. Int J Med Inform 2010; 79: 515–522.
Google Scholar |
Crossref |
Medline3. Demski, H, Garde, S, Hildebrand, C. Open data models for smart health interconnected applications: the example of openEHR. BMC Med Inform Decis Mak 2016; 16: 137.
Google Scholar |
Crossref |
Medline4. Xu, T, Thiemann, VS, Röhrig, R, et al. Secure electronical communications and data transfers in a clinical environment. Stud Health Technol Inform 2017; 245: 1315.
Google Scholar |
Medline5. Rinner, C, Gezgin, D, Wendl, C, et al. A clinical data warehouse based on OMOP and i2b2 for Austrian Health Claims Data. Stud Health Technol Inform 2018; 248: 94–99.
Google Scholar |
Medline6. Klann, JG, Joss, MAH, Embree, K, et al. Data model harmonization for the All Of Us Research Program: transforming i2b2 data into the OMOP common data model. PLoS One 2019; 14:e0212463.
Google Scholar |
Crossref |
Medline7. Murphy, SN, Weber, G, Mendis, M, et al. Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). J Am Med Inform Assoc 2010; 17: 124–130.
Google Scholar |
Crossref |
Medline |
ISI8. Dietrich, G, Krebs, J, Fette, G, et al. Ad hoc information extraction for clinical data warehouses. Methods Inf Med 2018; 57:e22–e29.
Google Scholar |
Crossref |
Medline9. Canuel, V, Rance, B, Avillach, P, et al. Translational research platforms integrating clinical and omics data: a review of publicly available solutions. Brief Bioinform 2015; 16: 280–290.
Google Scholar |
Crossref |
Medline10. Kaspar, M, Fette, G, Güder, G, et al. Underestimated prevalence of heart failure in hospital inpatients: a comparison of ICD codes and discharge letter information. Clin Res Cardiol 2018; 107: 778–787.
Google Scholar |
Crossref |
Medline11. Bouzillé, G, Osmont, M-N, Triquet, L, et al. Drug safety and big clinical data: detection of drug-induced anaphylactic shock events. J Eval Clin Pract 2018; 24: 536–544.
Google Scholar |
Crossref |
Medline12. Meystre, SM, Heider, PM, Kim, Y, et al. Automatic trial eligibility surveillance based on unstructured clinical data. Int J Med Inform 2019; 129: 13–19.
Google Scholar |
Crossref |
Medline13. Obeid, JS, Beskow, LM, Rape, M, et al. A survey of practices for the use of electronic health records to support research recruitment. J Clin Transl Sci 2017; 1: 246–252.
Google Scholar |
Crossref |
Medline14. Weng, C, Bigger, JT, Busacca, L, et al. Comparing the effectiveness of a clinical registry and a clinical data warehouse for supporting clinical trial recruitment: a case study. AMIA Annu Symp Proc 2010; 2010: 867–871.
Google Scholar |
Medline15. Thaker, VV, Lage, AE, Kumari, G, et al. Clinical course of nonfunctional pituitary microadenoma in children: a single-center experience. J Clin Endocrinol Metab 2019; 104: 5906–5912.
Google Scholar |
Crossref |
Medline16. Wallenborn, J, Störk, S, Herrmann, S, et al. Prevalence of severe mitral regurgitation eligible for edge-to-edge mitral valve repair (MitraClip). Clin Res Cardiol 2016; 105: 699–709.
Google Scholar |
Crossref |
Medline17. Caldwell, M, Laux, J, Clark, M, et al. Persistently elevated PTH after parathyroidectomy at one year: experience in a tertiary referral center. J Clin Endocrinol Metab 2019; 104: 4473–4480.
Google Scholar |
Crossref |
Medline18. Lorent, M, Foucher, Y, Kerleau, K, et al. The EKiTE network (epidemiology in kidney transplantation - a European validated database): an initiative epidemiological and translational European collaborative research. BMC Nephrol 2019; 20: 365.
Google Scholar |
Crossref |
Medline19. Doods, J, Bache, R, McGilchrist, M, et al. Piloting the EHR4CR feasibility platform across Europe. Methods Inf Med 2014; 53: 264–268.
Google Scholar |
Crossref |
Medline20. Verdonck-de Leeuw, IM, Jansen, F, Brakenhoff, RH, et al. Advancing interdisciplinary research in head and neck cancer through a multicenter longitudinal prospective cohort study: the NETherlands QUality of life and BIomedical Cohort (NET-QUBIC) data warehouse and biobank. BMC Cancer 2019; 19: 765.
Google Scholar |
Crossref |
Medline21. Adagarla, B, Connolly, DW, Nair, M, et al. Integrating REDCap patient registries within an i2b2 integrated data repository. In AMIA Clinical Research Informatics Joint Summit 2013.
Google Scholar22. Schumacher, A, Rujan, T, Hoefkens, J. A collaborative approach to develop a multi-omics data analytics platform for translational research. Appl Transl Genom 2014; 3: 105–108.
Google Scholar |
Crossref |
Medline23. Bae, CJ, Griffith, S, Fan, Y, et al. The challenges of data quality evaluation in a joint data warehouse. EGEMS (Washington, DC) 2015; 3: 1125.
Google Scholar |
Medline24. Botsis, T, Hartvigsen, G, Chen, F, et al. Secondary use of EHR: data quality issues and informatics opportunities. Summit Transl Bioinform 2010; 2010: 1–5.
Google Scholar |
Medline25. Semler, SC, Wissing, F, Heyder, R. German Medical Informatics Initiative: a national approach to integrating health data from patient care and medical research. Methods Inform Med 2018; 57: e50–e56.
Google Scholar |
Crossref |
Medline26. Chekani, F, Holmes, HM, Johnson, ML, et al. Use of atypical antipsychotics in long-term care residents with Parkinson’s disease and comorbid depression. Drug Healthcare Patient Safety 2020; 12: 23–30.
Google Scholar |
Crossref |
Medline27. Kaspar, M, Ertl, M, Fette, G, et al. Data linkage from clinical to study databases via an R data warehouse user interface. Experiences from a large clinical follow-up study. Methods Inf Med 2016; 55(4): 381–386.
Google Scholar |
Crossref |
Medline28. Pittman, CA, Miranpuri, AS. Neurosurgery clinical registry data collection utilizing Informatics for Integrating Biology and the Bedside and electronic health records at the University of Rochester. Neurosurg Focus 2015; 39: E16.
Google Scholar |
Crossref |
Medline29. Campion, Jr, Sholle, ET, Davila, Jr. Generalizable middleware to support use of redcap dynamic data pull for integrating clinical and research data. AMIA Jt Summits Transl Sci Proc 2017; 2017: 76.
Google Scholar |
Medline30. Gabetta, M, Mirabelli, M, Klersy, C, et al. An extension of the i2b2 data warehouse to support REDCap dynamic data pull. In EFMI-STC, 2019, pp. 21–25.
Google Scholar31. von Lucadou, M, Ganslandt, T, Prokosch, HU, et al. Feasibility analysis of conducting observational studies with the electronic health record. BMC Med Inform Decis Mak 2019; 19(1): 202.
Google Scholar |
Crossref |
Medline32. Kahn, MG, Callahan, TJ, Barnard, J, et al. A harmonized data quality assessment terminology and framework for the secondary use of electronic health record data. EGEMS (Washington, DC) 2016; 4(1): 1244.
Google Scholar |
Medline33. International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH), Integrated Addendum to ICH E6(r1). Guideline for Good Clinical Practice E6(r2), EMA/CHMP/ICH/135/1995.
Google Scholar34. Klann, JG, Estiri, H, Weber, GM, et al. Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J Am Med Inform Assoc 2021; 28(7): 1411–1420.
Google Scholar |
Crossref |
Medline35. Ouagne, D, Hussain, S, Sadou, E, et al. The Electronic Healthcare Record for Clinical Research (EHR4CR) information model and terminology. Stud Health Technol Inform 2012; 180: 534–538.
Google Scholar |
Medline36. Recalde, M, Roel, E, Pistillo, A, et al. Characteristics and outcomes of 627 044 COVID-19 patients living with and without obesity in the United States, Spain, and the United Kingdom. Int J Obes 2021: 1–11.
Google Scholar37. Mandl, KD, Mandel, JC, Murphy, SN, et al. The SMART Platform: early experience enabling substitutable applications for electronic health records. J Am Med Inform Assoc 2012; 19: 597–603.
Google Scholar |
Crossref |
Medline38. Kraus, S, Toddenroth, D, Staudigel, M, et al. Mapping the entire record-an alternative approach to data access from medical logic modules. Appl Clin Inform 2020; 11: 342–349.
Google Scholar |
Crossref |
Medline
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