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Showing 1789 to 1793 of 1793 entries
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Real-world evidence and product development: Opportunities, challenges and risk mitigation.

Wiener klinische Wochenschrift

Naidoo P, Bouharati C, Rambiritch V, Jose N, Karamchand S, Chilton R, Leisegang R.
PMID: 33837463
Wien Klin Wochenschr. 2021 Aug;133(15):840-846. doi: 10.1007/s00508-021-01851-w. Epub 2021 Apr 09.

Real-world evidence (RWE) is derived from real-world data (RWD) sources including electronic health records, claims data, registries (disease, product) and pragmatic clinical trials. The importance of RWE derived from RWD has been once again demonstrated during the coronavirus disease...

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Naidoo P, Bouharati C, Rambiritch V, et al. Real-world evidence and product development: Opportunities, challenges and risk mitigation. Wien Klin Wochenschr. 2021;133(15):840-846doi: 10.1007/s00508-021-01851-w.
Naidoo, P., Bouharati, C., Rambiritch, V., Jose, N., Karamchand, S., Chilton, R., & Leisegang, R. (2021). Real-world evidence and product development: Opportunities, challenges and risk mitigation. Wiener klinische Wochenschrift, 133(15), 840-846. https://doi.org/10.1007/s00508-021-01851-w
Naidoo, Poobalan, et al. "Real-world evidence and product development: Opportunities, challenges and risk mitigation." Wiener klinische Wochenschrift vol. 133,15 (2021): 840-846. doi: https://doi.org/10.1007/s00508-021-01851-w
Naidoo P, Bouharati C, Rambiritch V, Jose N, Karamchand S, Chilton R, Leisegang R. Real-world evidence and product development: Opportunities, challenges and risk mitigation. Wien Klin Wochenschr. 2021 Aug;133(15):840-846. doi: 10.1007/s00508-021-01851-w. Epub 2021 Apr 09. PMID: 33837463; PMCID: PMC8034870.
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Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.

Journal of the American Medical Informatics Association : JAMIA

Morris AH, Stagg B, Lanspa M, Orme J, Clemmer TP, Weaver LK, Thomas F, Grissom CK, Hirshberg E, East TD, Wallace CJ, Young MP, Sittig DF, Pesenti A, Bombino M, Beck E, Sward KA, Weir C, Phansalkar SS, Bernard GR, Taylor Thompson B, Brower R, Truwit JD, Steingrub J, Duncan Hite R, Willson DF, Zimmerman JJ, Nadkarni VM, Randolph A, Curley MAQ, Newth CJL, Lacroix J, Agus MSD, Lee KH, deBoisblanc BP, Scott Evans R, Sorenson DK, Wong A, Boland MV, Grainger DW, Dere WH, Crandall AS, Facelli JC, Huff SM, Haug PJ, Pielmeier U, Rees SE, Karbing DS, Andreassen S, Fan E, Goldring RM, Berger KI, Oppenheimer BW, Wesley Ely E, Gajic O, Pickering B, Schoenfeld DA, Tocino I, Gonnering RS, Pronovost PJ, Savitz LA, Dreyfuss D, Slutsky AS, Crapo JD, Angus D, Pinsky MR, James B, Berwick D.
PMID: 33594410
J Am Med Inform Assoc. 2021 Jun 12;28(6):1330-1344. doi: 10.1093/jamia/ocaa294.

Clinical decision-making is based on knowledge, expertise, and authority, with clinicians approving almost every intervention-the starting point for delivery of "All the right care, but only the right care," an unachieved healthcare quality improvement goal. Unaided clinicians suffer from...

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Morris AH, Stagg B, Lanspa M, et al. Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions. J Am Med Inform Assoc. 2021;28(6):1330-1344doi: 10.1093/jamia/ocaa294.
Morris, A. H., Stagg, B., Lanspa, M., Orme, J., Clemmer, T. P., Weaver, L. K., Thomas, F., Grissom, C. K., Hirshberg, E., East, T. D., Wallace, C. J., Young, M. P., Sittig, D. F., Pesenti, A., Bombino, M., Beck, E., Sward, K. A., Weir, C., Phansalkar, S. S., Bernard, G. R., Taylor Thompson, B., Brower, R., Truwit, J. D., Steingrub, J., Duncan Hite, R., Willson, D. F., Zimmerman, J. J., Nadkarni, V. M., Randolph, A., Curley, M. A. Q., Newth, C. J. L., Lacroix, J., Agus, M. S. D., Lee, K. H., deBoisblanc, B. P., Scott Evans, R., Sorenson, D. K., Wong, A., Boland, M. V., Grainger, D. W., Dere, W. H., Crandall, A. S., Facelli, J. C., Huff, S. M., Haug, P. J., Pielmeier, U., Rees, S. E., Karbing, D. S., Andreassen, S., Fan, E., Goldring, R. M., Berger, K. I., Oppenheimer, B. W., Wesley Ely, E., Gajic, O., Pickering, B., Schoenfeld, D. A., Tocino, I., Gonnering, R. S., Pronovost, P. J., Savitz, L. A., Dreyfuss, D., Slutsky, A. S., Crapo, J. D., Angus, D., Pinsky, M. R., James, B., & Berwick, D. (2021). Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions. Journal of the American Medical Informatics Association : JAMIA, 28(6), 1330-1344. https://doi.org/10.1093/jamia/ocaa294
Morris, Alan H, et al. "Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions." Journal of the American Medical Informatics Association : JAMIA vol. 28,6 (2021): 1330-1344. doi: https://doi.org/10.1093/jamia/ocaa294
Morris AH, Stagg B, Lanspa M, Orme J, Clemmer TP, Weaver LK, Thomas F, Grissom CK, Hirshberg E, East TD, Wallace CJ, Young MP, Sittig DF, Pesenti A, Bombino M, Beck E, Sward KA, Weir C, Phansalkar SS, Bernard GR, Taylor Thompson B, Brower R, Truwit JD, Steingrub J, Duncan Hite R, Willson DF, Zimmerman JJ, Nadkarni VM, Randolph A, Curley MAQ, Newth CJL, Lacroix J, Agus MSD, Lee KH, deBoisblanc BP, Scott Evans R, Sorenson DK, Wong A, Boland MV, Grainger DW, Dere WH, Crandall AS, Facelli JC, Huff SM, Haug PJ, Pielmeier U, Rees SE, Karbing DS, Andreassen S, Fan E, Goldring RM, Berger KI, Oppenheimer BW, Wesley Ely E, Gajic O, Pickering B, Schoenfeld DA, Tocino I, Gonnering RS, Pronovost PJ, Savitz LA, Dreyfuss D, Slutsky AS, Crapo JD, Angus D, Pinsky MR, James B, Berwick D. Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions. J Am Med Inform Assoc. 2021 Jun 12;28(6):1330-1344. doi: 10.1093/jamia/ocaa294. PMID: 33594410; PMCID: PMC8661391.
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Use of Clinical Narratives in Electronic Records: a New Resident Course Using a Writing Group Format.

Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry

Constantino E, Vikas R.
PMID: 33786780
Acad Psychiatry. 2021 Jun;45(3):388-392. doi: 10.1007/s40596-021-01432-z. Epub 2021 Mar 30.

No abstract available.

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Constantino E, Vikas R. Use of Clinical Narratives in Electronic Records: a New Resident Course Using a Writing Group Format. Acad Psychiatry. 2021;45(3):388-392doi: 10.1007/s40596-021-01432-z.
Constantino, E., & Vikas, R. (2021). Use of Clinical Narratives in Electronic Records: a New Resident Course Using a Writing Group Format. Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry, 45(3), 388-392. https://doi.org/10.1007/s40596-021-01432-z
Constantino, Eduardo, and Vikas, Ruchi. "Use of Clinical Narratives in Electronic Records: a New Resident Course Using a Writing Group Format." Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry vol. 45,3 (2021): 388-392. doi: https://doi.org/10.1007/s40596-021-01432-z
Constantino E, Vikas R. Use of Clinical Narratives in Electronic Records: a New Resident Course Using a Writing Group Format. Acad Psychiatry. 2021 Jun;45(3):388-392. doi: 10.1007/s40596-021-01432-z. Epub 2021 Mar 30. PMID: 33786780.
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Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record Deidentification.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Ahmed A, Abbasi A, Eickhoff C.
PMID: 34457124
AMIA Jt Summits Transl Sci Proc. 2021 May 17;2021:102-111. eCollection 2021.

Electronic Health Records (EHRs) have become the primary form of medical data-keeping across the United States. Federal law restricts the sharing of any EHR data that contains protected health information (PHI). De-identification, the process of identifying and removing all...

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Ahmed A, Abbasi A, Eickhoff C. Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record Deidentification. AMIA Jt Summits Transl Sci Proc. 2021;2021:102-111
Ahmed, A., Abbasi, A., & Eickhoff, C. (2021). Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record Deidentification. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2021102-111.
Ahmed, Abdullah, et al. "Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record Deidentification." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2021 (2021): 102-111.
Ahmed A, Abbasi A, Eickhoff C. Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record Deidentification. AMIA Jt Summits Transl Sci Proc. 2021 May 17;2021:102-111. eCollection 2021. PMID: 34457124; PMCID: PMC8378656.
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Pseudo-data generation for the extraction of Problems, Treatments and Tests.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science

Smith J, French E, Cramer W, Uzuner Ӧ, McInnes BT.
PMID: 34457173
AMIA Jt Summits Transl Sci Proc. 2021 May 17;2021:575-584. eCollection 2021.

One of the primary challenges for clinical Named Entity Recognition (NER) is the availability of annotated training data. Technical and legal hurdles prevent the creation and release of corpora related to electronic health records (EHRs). In this work, we...

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Smith J, French E, Cramer W, et al. Pseudo-data generation for the extraction of Problems, Treatments and Tests. AMIA Jt Summits Transl Sci Proc. 2021;2021:575-584
Smith, J., French, E., Cramer, W., Uzuner, �. �., & McInnes, B. T. (2021). Pseudo-data generation for the extraction of Problems, Treatments and Tests. AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2021575-584.
Smith, Jeff, et al. "Pseudo-data generation for the extraction of Problems, Treatments and Tests." AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science vol. 2021 (2021): 575-584.
Smith J, French E, Cramer W, Uzuner Ӧ, McInnes BT. Pseudo-data generation for the extraction of Problems, Treatments and Tests. AMIA Jt Summits Transl Sci Proc. 2021 May 17;2021:575-584. eCollection 2021. PMID: 34457173; PMCID: PMC8378614.
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Showing 1789 to 1793 of 1793 entries