The IMPACT framework and implementation for accessible in silico clinical phenotyping in the digital era

A Wen, H He, S Fu, S Liu, K Miller, L Wang… - npj Digital …, 2023 - nature.com
Clinical phenotyping is often a foundational requirement for obtaining datasets necessary for
the development of digital health applications. Traditionally done via manual abstraction …

[HTML][HTML] Identifying information gaps in electronic health records by using natural language processing: gynecologic surgery history identification

S Moon, LA Carlson, ED Moser… - Journal of medical …, 2022 - jmir.org
Background Electronic health records (EHRs) are a rich source of longitudinal patient data.
However, missing information due to clinical care that predated the implementation of EHR …

Searching the PDF Haystack: automated knowledge discovery in scanned EHR documents

AL Kostrinsky-Thomas, FM Hisama… - Applied Clinical …, 2021 - thieme-connect.com
Background Clinicians express concern that they may be unaware of important information
contained in voluminous scanned and other outside documents contained in electronic …

Contextual Variation of Clinical Notes induced by EHR Migration

K Miller, S Moon, S Fu, H Liu - AMIA Annual Symposium …, 2024 - pmc.ncbi.nlm.nih.gov
The structure and semantics of clinical notes vary considerably across different Electronic
Health Record (EHR) systems, sites, and institutions. Such heterogeneity hampers the …

Clinicallayoutlm: A pre-trained multi-modal model for understanding scanned document in electronic health records

Q Wei, X Zuo, O Anjum, Y Hu… - … Conference on Big …, 2022 - ieeexplore.ieee.org
Scanned documents (eg, faxes) are still widely used in clinical practice and are prevalent in
Electronic Health Records (EHR). Unlocking information in scanned documents in EHRs is …

[HTML][HTML] Probing patient messages enhanced by natural language processing: A top-down message corpus analysis

P TaftiAhmad - Health Data Science, 2021 - spj.science.org
Background. Patients increasingly use asynchronous communication platforms to converse
with care teams. Natural language processing (NLP) to classify content and automate triage …

Smart Scan of Blood Test Documents to be Integrated in a mHealth Application

P Lobo, J Vilaça, H Torres, B Oliveira… - 2022 E-Health and …, 2022 - ieeexplore.ieee.org
Controlling the physiological evolution of people plays an important role in the prevention
and detection of health problems. Often, the medical analyzes performed by people are …

[引用][C] Visualizing Medical Narratives from Electronic Health Records to Improve the Medical Decision Making Process

S van der Linden