Schilling, Lisa

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

Characterizing treatment pathways at scale using the OHDSI network

Hripcsak, G., Ryan, P. B., Duke, J. D., Shah, N. H., Park, R. W., Huser, V., Suchard, M. A., Schuemie, M. J., DeFalco, F. J., Perotte, A., et al. (2016) · Proceedings of the National Academy of Sciences

Medical Coding and Health InformationMachine Learning in Healthcare

Cited by 326

Systematic Review of Health Information Exchange in Primary Care Practices

Fontaine, P., Ross, S. E., Zink, T., & Schilling, L. M. (2010) · The Journal of the American Board of Family Medicine

Electronic Health Records SystemsHealthcare Systems and Technology

Cited by 214

Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study

Prats-Uribe, A., Sena, A. G., Lai, L. Y. H., Ahmed, W.-U.-R., Alghoul, H., Alser, O., Alshammari, T. M., Areia, C., Carter, W., Casajust, P., et al. (2021) · BMJ

COVID-19 Clinical Research StudiesCOVID-19 and healthcare impacts

Cited by 68

Accuracy of the Epic Sepsis Prediction Model in a Regional Health System

Bennett, T., Russell, S., King, J., Schilling, L., Voong, C., Rogers, N., Adrian, B., Bruce, N., & Ghosh, D. (2019) · arXiv

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 19