Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Jackson M. Steinkamp"'
Autor:
Pierre J Chambon, Christopher Wu, Jackson M Steinkamp, Jason Adleberg, Tessa S Cook, Curtis P Langlotz
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA.
Objective To develop an automated deidentification pipeline for radiology reports that detect protected health information (PHI) entities and replaces them with realistic surrogates “hiding in plain sight.” Materials and Methods In this retrospec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55b000fb9beabbb4e6048b0eb8369e96
https://pubmed.ncbi.nlm.nih.gov/36416419
https://pubmed.ncbi.nlm.nih.gov/36416419
Autor:
Ariana M. Albanese, Pamela A. Geller, Jackson M. Steinkamp, Joan R. Bloch, Chris Sikes, Jennifer L. Barkin
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 10; Pages: 2748
During the postpartum period, a birth parent’s level of functioning (ability to perform the activities and roles required to maintain wellbeing) is critical in determining the health of parents and their infants. However, existing approaches to sup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::604983ebd551c96794bf3a40dd1caae1
Autor:
Frederick Thurston Drake, Abhinav Sharma, Nicholas Cordella, Timothy Feeney, James M. Moses, Wasif Bala, Avneesh Gupta, Jackson M. Steinkamp, Jacob J. Kantrowitz
Publikováno v:
Appl Clin Inform
Background Incidental radiographic findings, such as adrenal nodules, are commonly identified in imaging studies and documented in radiology reports. However, patients with such findings frequently do not receive appropriate follow-up, partially due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcc00c3d711369a9e7cc172b15d22abc
https://doi.org/10.1055/s-0040-1715892
https://doi.org/10.1055/s-0040-1715892
Autor:
Jacqueline M. Soegaard Ballester, Geoffrey D. Bass, Richard Urbani, Glenn Fala, Rutvij Patel, Damien Leri, Jackson M. Steinkamp, Joshua L. Denson, Roy Rosin, Srinath Adusumalli, Clarence William Hanson, Ross Koppel, Subha Airan-Javia
Publikováno v:
Applied Clinical Informatics
Background Clinical workflows require the ability to synthesize and act on existing and emerging patient information. While offering multiple benefits, in many circumstances electronic health records (EHRs) do not adequately support these needs. Obje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2c0a379954544de3c411904e6511ee2
https://pubmed.ncbi.nlm.nih.gov/34937103
https://pubmed.ncbi.nlm.nih.gov/34937103
Publikováno v:
Journal of Digital Imaging
Unstructured and semi-structured radiology reports represent an underutilized trove of information for machine learning (ML)-based clinical informatics applications, including abnormality tracking systems, research cohort identification, point-of-car
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bf0bfc93eb8c9457dd9aa4e5ae1e921
https://doi.org/10.1007/s10278-019-00234-y
https://doi.org/10.1007/s10278-019-00234-y
Publikováno v:
Radiol Artif Intell
PURPOSE: To evaluate publicly available de-identification tools on a large corpus of narrative-text radiology reports. MATERIALS AND METHODS: In this retrospective study, 21 categories of protected health information (PHI) in 2503 radiology reports w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b00df565c9d48194bda5c13759ab77ba
https://europepmc.org/articles/PMC8082401/
https://europepmc.org/articles/PMC8082401/
Publikováno v:
JMIR Formative Research
Background Clinicians spend large amounts of their workday using electronic medical records (EMRs). Poorly designed documentation systems contribute to the proliferation of out-of-date information, increased time spent on medical records, clinician b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c21d7143303690eaff92c77850e5d3f
https://pubmed.ncbi.nlm.nih.gov/34751651
https://pubmed.ncbi.nlm.nih.gov/34751651
Publikováno v:
International Journal of Environmental Research and Public Health
Volume 17
Issue 17
International Journal of Environmental Research and Public Health, Vol 17, Iss 6021, p 6021 (2020)
Volume 17
Issue 17
International Journal of Environmental Research and Public Health, Vol 17, Iss 6021, p 6021 (2020)
During the first twelve months postpartum, infants require intensive care and mothers are susceptible to physical and mental health concerns as they undergo a period of tremendous psychological and physiological adjustment. The mother&rsquo
s le
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Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18e7269cc9b2c7908b7426c824004d75
http://europepmc.org/articles/PMC7504078
http://europepmc.org/articles/PMC7504078
Publikováno v:
Radiol Artif Intell
PURPOSE: To evaluate the performance of machine learning algorithms on organ-level classification of semistructured pathology reports, to incorporate surgical pathology monitoring into an automated imaging recommendation follow-up engine. MATERIALS A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f06654ab9465e367ed1d1e70d174d3d5
https://doi.org/10.1148/ryai.2019180052
https://doi.org/10.1148/ryai.2019180052