Challenges and opportunities beyond structured data in analysis of electronic health records

…, T Chomutare, H Dalianis, E Salvi… - Wiley …, 2021 - Wiley Online Library
… and opportunities in the analysis of EHRs beyond structured data. We focus on studies
that use both structured and unstructured data since the combination is more challenging to …

[HTML][HTML] Combining structured and unstructured data for predictive models: a deep learning approach

D Zhang, C Yin, J Zeng, X Yuan, P Zhang - BMC medical informatics and …, 2020 - Springer
… The broad adoption of electronic health records (EHRs) … using derived data from the publicly
available Medical Information … by combining unstructured clinical notes with structured data, …

… of the first natural language processing challenge for extracting medication, indication, and adverse drug events from electronic health record notes (MADE 1.0)

A Jagannatha, F Liu, W Liu, H Yu - Drug safety, 2019 - Springer
… ) 1.0 corpus comprises 1089 electronic health records with detailed named entity and … and
patient safety surveillance systems are based on the analyses of the structured data such as …

[PDF][PDF] Development of minimum data set for electronic documentation of progress note in the general intensive care unit

E Fallahnejad, F Niknam… - Frontiers in Health …, 2020 - academia.edu
… However, the entry of structured data can support electronic … daily progress note in the
electronic health record in 12 … reporting system for electronic health records in Iran. The results of …

[HTML][HTML] Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction

L Rasmy, Y Xiang, Z Xie, C Tao, D Zhi - NPJ digital medicine, 2021 - nature.com
… coding, taking into consideration that most of the EHR data are based on user manual entries
and that there is a high associated chance of data entry mistakes. For the same reason, we …

[HTML][HTML] Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review

Y Si, J Du, Z Li, X Jiang, T Miller, F Wang… - Journal of biomedical …, 2021 - Elsevier
patient data from either structured codes such as ICD-9, or unstructured data like clinical
notes… After some initial embedding techniques to transform patient data into input features, deep …

[HTML][HTML] Patient portals facilitating engagement with inpatient electronic medical records: a systematic review

R Dendere, C Slade, A Burton-Jones, C Sullivan… - Journal of medical …, 2019 - jmir.org
… with patient engagement, electronic health records, and patient portals and their respective
subject headings in each database. … If health care organizations decide to enforce structured

[HTML][HTML] What every reader should know about studies using electronic health record data but may be afraid to ask

, … For Clinical Characterization Of COVID-19 By … - Journal of medical …, 2021 - jmir.org
structured data without specifying the clinical forms or data models. Mention coded data
High-throughput phenotyping with electronic medical record data using a common semi-…

Blockchain's coming to hospital to digitalize healthcare services: Designing a distributed electronic health record ecosystem

…, P Centobelli, E Riccio, S Abbate, E Oropallo - Technovation, 2023 - Elsevier
… and structured management of data referring to the clinical … managing medical records and
better sharing patient health data … The first is to collect health data; each hashed data entry is …

Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review

TA Koleck, C Dreisbach, PE Bourne… - … the American Medical …, 2019 - academic.oup.com
… EHRs are longitudinal collections of electronic information related to the health of or … of
data, structured data (eg, billing diagnoses, medications, laboratory test results) and unstructured