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Management: Electronic Health Records (EHR)
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What maximizes the effectiveness and implementation of technology-based interventions to support healthcare professional practice? A systematic literature review
Technological support may be crucial in optimizing healthcare professional practice and improving patient outcomes. A focus on electronic health records has left other technological supports relatively neglect...
Source: BMC Medical Informatics and Decision Making - November 7, 2018 Category: Information Technology Authors: C Keyworth, J Hart, C J Armitage and M P Tully Tags: Research article Source Type: research
Detection of probable dementia cases in undiagnosed patients using structured and unstructured electronic health records
Dementia is underdiagnosed in both the general population and among Veterans. This underdiagnosis decreases quality of life, reduces opportunities for interventions, and increases health-care costs. New approa...
Source: BMC Medical Informatics and Decision Making - July 9, 2019 Category: Information Technology Authors: Yijun Shao, Qing T. Zeng, Kathryn K. Chen, Andrew Shutes-David, Stephen M. Thielke and Debby W. Tsuang Tags: Research article Source Type: research
Developing a standardised approach to the aggregation of inpatient episodes into person-based spells in all specialties and psychiatric specialties
Electronic health record (EHR) data are available for research in all UK nations and cross-nation comparative studies are becoming more common. All UK inpatient EHRs are based around episodes, but episode-base...
Source: BMC Medical Informatics and Decision Making - November 29, 2019 Category: Information Technology Authors: Sarah Rees, Ashley Akbari, Huw Collins, Sze Chim Lee, Amanda Marchant, Arfon Rees, Daniel Thayer, Ting Wang, Sophie Wood and Ann John Tags: Research article Source Type: research
Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches
Text mining and natural language processing of clinical text, such as notes from electronic health records, requires specific consideration of the specialized characteristics of these texts. Deep learning meth...
Source: BMC Medical Informatics and Decision Making - December 23, 2019 Category: Information Technology Authors: Rebecka Weegar, Alicia P érez, Arantza Casillas and Maite Oronoz Tags: Research Source Type: research
Inverse-probability weighting and multiple imputation for evaluating selection bias in the estimation of childhood obesity prevalence using data from electronic health records
Height and weight data from electronic health records are increasingly being used to estimate the prevalence of childhood obesity. Here, we aim to assess the selection bias due to missing weight and height dat...
Source: BMC Medical Informatics and Decision Making - January 20, 2020 Category: Information Technology Authors: Carmen Sayon-Orea, Conchi Moreno-Iribas, Josu Delfrade, Manuela Sanchez-Echenique, Pilar Amiano, Eva Ardanaz, Javier Gorricho, Garbi ñe Basterra, Marian Nuin and Marcela Guevara Tags: Research article Source Type: research
How an electronic health record became a real-world research resource: comparison between London ’s Whole Systems Integrated Care database and the Clinical Practice Research Datalink
In the UK, several initiatives have resulted in the creation of local data warehouses of electronic patient records. Originally developed for commissioning and direct patient care, they are potentially useful ...
Source: BMC Medical Informatics and Decision Making - April 20, 2020 Category: Information Technology Authors: Alex Bottle, Carole Cohen, Amanda Lucas, Kavitha Saravanakumar, Zia Ul-Haq, Wayne Smith, Azeem Majeed and Paul Aylin Tags: Research article Source Type: research
Caregivers' role in using a personal electronic health record: a qualitative study of cancer patients and caregivers in Germany
Particularly in the context of severe diseases like cancer, many patients wish to include caregivers in the planning of treatment and care. Many caregivers like to be involved but feel insufficiently enabled. ...
Source: BMC Medical Informatics and Decision Making - July 13, 2020 Category: Information Technology Authors: Aline Weis, Sabrina Pohlmann, Regina Poss-Doering, Beate Strauss, Charlotte Ullrich, Helene Hofmann, Dominik Ose, Eva C. Winkler, Joachim Szecsenyi and Michel Wensing Tags: Research article Source Type: research
Utilizing imbalanced electronic health records to predict acute kidney injury by ensemble learning and time series model
Acute Kidney Injury (AKI) is a shared complication among Intensive Care Unit (ICU), marked by high cost, high morbidity and high mortality. As the early prediction of AKI is critical for patients ’ outcomes and...
Source: BMC Medical Informatics and Decision Making - September 21, 2020 Category: Information Technology Authors: Yuan Wang, Yake Wei, Hao Yang, Jingwei Li, Yubo Zhou and Qin Wu Tags: Research article Source Type: research
Combining structured and unstructured data for predictive models: a deep learning approach
The broad adoption of electronic health records (EHRs) provides great opportunities to conduct health care research and solve various clinical problems in medicine. With recent advances and success, methods ba...
Source: BMC Medical Informatics and Decision Making - October 29, 2020 Category: Information Technology Authors: Dongdong Zhang, Changchang Yin, Jucheng Zeng, Xiaohui Yuan and Ping Zhang Tags: Research article Source Type: research
Attitudes towards using electronic health records of patients with psoriasis and dermatologists: a cross-sectional study
Electronic health records (EHRs) offer various advantages for healthcare delivery, especially for chronic and complex diseases such as psoriasis. However, both patients ’ and physicians’ acceptability is requir...
Source: BMC Medical Informatics and Decision Making - December 30, 2020 Category: Information Technology Authors: Toni Maria Klein, Matthias Augustin, Natalia Kirsten and Marina Otten Tags: Research article Source Type: research
Temporal relationship of computed and structured diagnoses in electronic health record data
The electronic health record (EHR) holds the prospect of providing more complete and timely access to clinical information for biomedical research, quality assessments, and quality improvement compared to othe...
Source: BMC Medical Informatics and Decision Making - February 17, 2021 Category: Information Technology Authors: Wade L. Schulz, H. Patrick Young, Andreas Coppi, Bobak J. Mortazavi, Zhenqiu Lin, Raymond A. Jean and Harlan M. Krumholz Tags: Research article Source Type: research
Persisting workarounds in Electronic Health Record System use: types, risks and benefits
Electronic Health Records (EHRs) are now widely used to create a single, shared, and reliable source of patient data throughout healthcare organizations. However, health professionals continue to experience mi...
Source: BMC Medical Informatics and Decision Making - June 8, 2021 Category: Information Technology Authors: Albert Boonstra, Tess L. Jonker, Marjolein A. G. van Offenbeek and Janita F. J. Vos Tags: Research Source Type: research
Interpretable time-aware and co-occurrence-aware network for medical prediction
Disease prediction based on electronic health records (EHRs) is essential for personalized healthcare. But it ’s hard due to the special data structure and the interpretability requirement of methods. The struc...
Source: BMC Medical Informatics and Decision Making - November 2, 2021 Category: Information Technology Authors: Chenxi Sun, Hongna Dui and Hongyan Li Tags: Technical advance Source Type: research
Identifying and evaluating clinical subtypes of Alzheimer ’s disease in care electronic health records using unsupervised machine learning
Alzheimer ’s disease (AD) is a highly heterogeneous disease with diverse trajectories and outcomes observed in clinical populations. Understanding this heterogeneity can enable better treatment, prognosis and d...
Source: BMC Medical Informatics and Decision Making - December 8, 2021 Category: Information Technology Authors: Nonie Alexander, Daniel C. Alexander, Frederik Barkhof and Spiros Denaxas Tags: Research Source Type: research
A configurable method for clinical quality measurement through electronic health records based on openEHR and CQL
One of the primary obstacles to measure clinical quality is the lack of configurable solutions to make computers understand and compute clinical quality indicators. The paper presents a solution that can help ...
Source: BMC Medical Informatics and Decision Making - February 10, 2022 Category: Information Technology Authors: Mengyang Li, Hailing Cai, Yunlong Zhi, Zehai Fu, Huilong Duan and Xudong Lu Tags: Software Source Type: research
