Article
Computer Science, Interdisciplinary Applications
Shirou Manabe, Toshihiro Takeda, Atsushi Hattori, Masashi Yamamoto, Yoshie Shimai, Yoshiki Namiuchi, Junji Yamaguchi, Tomomi Yamada, Shozo Konishi, Yasushi Matsumura
Summary: Establishing a network infrastructure for clinical research between Osaka University Hospital and affiliated hospitals in Osaka, as well as introducing a clinical data collection system, solved the integration issue of electronic medical records and clinical data. This network infrastructure can also serve as a medical image collection system, and a total of 28 clinical studies have been conducted using this system since 2013.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Immunology
Constantina Boikos, Mahrukh Imran, Simon de Lusignan, Justin R. Ortiz, Peter A. Patriarca, James A. Mansi
Summary: Real-world evidence (RWE) plays an increasingly important role in public health and healthcare decisions globally. An Integrated Dataset has been created, combining primary care electronic medical records with pharmacy and medical claims data for over 123 million US patients since 2014. This study describes the components of the Integrated Dataset and evaluates its representativeness to the US population, as well as its potential for evaluating influenza vaccine effectiveness.
Review
Medicine, General & Internal
Zhaohui Su, Bin Liang, Feng Shi, J. Gelfond, Sabina Segalo, Jing Wang, Peng Jia, Xiaoning Hao
Summary: Deep learning techniques are increasingly utilized in medical research, particularly in the field of facial image analysis. This systematic review aims to identify the characteristics, challenges, and opportunities of deep learning-based facial image analysis in medical research, providing valuable insights for disease detection, diagnosis, and prognosis.
Article
Health Care Sciences & Services
Markus Wolfien, Najia Ahmadi, Kai Fitzer, Sophia Grummt, Kilian-Ludwig Heine, Ian -C Jung, Dagmar Krefting, Andreas Kuehn, Yuan Peng, Ines Reinecke, Julia Scheel, Tobias Schmidt, Paul Schmuecker, Christina Schuettler, Dagmar Waltemath, Michele Zoch, Martin Sedlmayr
Summary: The field of medical informatics research has made significant contributions to facilitate the development of clinical data. However, the complexity of relationships, terminologies, and implementations can be barriers for those who want to get involved. This paper presents 10 important topics in medical informatics research, focusing on interdisciplinary communication and lowering the barriers to entry. These topics cover current issues and research gaps in the field, and provide guidance and further resources. The paper also discusses the integration of these topics in higher education curriculum.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Review
Medicine, General & Internal
Edmond Li, Jonathan Clarke, Ana Luisa Neves, Hutan Ashrafian, Ara Darzi
Summary: This systematic review aims to evaluate the impact of EHR interoperability on patient safety in high-income countries' health systems. The study will conduct a comprehensive literature review and analysis to assess the quality of research, with a narrative synthesis of included studies to summarize the body of evidence.
Article
Computer Science, Information Systems
Wenjun He, Katie G. Kirchoff, Royce R. Sampson, Kimberly K. McGhee, Andrew M. Cates, Jihad S. Obeid, Leslie A. Lenert
Summary: The South Carolina Clinical & Translational Research Institute at the Medical University of South Carolina successfully reduced data fragmentation and promoted research systems integration by implementing RMIDs and RINS. Within four years, a total of 5513 RMIDs were created, with 13% linked to systems needed to evaluate research study performance and 18% linked to electronic health records.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2021)
Review
Computer Science, Information Systems
Jung Yin Tsang, Niels Peek, Iain Buchan, Sabine N. van der Veer, Benjamin Brown
Summary: This study systematically reviewed the literature on computerized audit and feedback systems in healthcare, comparing them against best practices and generating hypotheses on their impact. The results indicate that these systems have a positive impact on care quality and patient outcomes, but some systems still lack basic recommended features.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2022)
Article
Geriatrics & Gerontology
Claire M. Campbell, Daniel R. Murphy, George E. Taffet, Anita B. Major, Christine S. Ritchie, Bruce Leff, Aanand D. Naik
Summary: The paper discusses a conceptual model for EHR implementation of quality measures, successfully implemented a depression screening quality measure in a home-based medical care setting. Additional components of early leadership, clinician buy-in, strong IT relationships, and simplified implementation processes were necessary for success.
JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
(2021)
Article
Computer Science, Information Systems
Nawaf Alharbe, Abeer Aljohani, Mohamed Ali Rakrouki
Summary: Cloud computing has gained extensive attention due to its convenience and ubiquity. However, security issues, particularly related to multi-tenancy and virtualization, pose obstacles to its development. This paper proposes a data partitioning method to prevent privacy leakage in a multi-tenant scenario, specifically in protecting patient data in health informatics. Experimental results demonstrate the effectiveness of the proposed algorithm in fine-grained attribute partitioning and sensitive information protection.
Review
Medicine, General & Internal
Ben Gordon, Clara Fennessy, Susheel Varma, Jake Barrett, Enez McCondochie, Trevor Heritage, Oenone Duroe, Richard Jeffery, Vishnu Rajamani, Kieran Earlam, Victor Banda, Neil Sebire
Summary: This study objectively evaluated freely available data profiling software tools for their applicability in healthcare data. Several tools showed high potential and functionality for use with healthcare datasets. In a synthetic dataset of 1000 patients, two tools consistently performed well across multiple tasks including completeness, consistency, uniqueness, validity, accuracy, and distribution metrics.
Editorial Material
Multidisciplinary Sciences
Julia Gehrmann, Edit Herczog, Stefan Decker, Oya Beyan
Summary: Medical real-world data stored in clinical systems is valuable for medical research, but faces challenges in terms of technology and culture. Analyzing these challenges and proposing measures for improvement is crucial.
Article
Medicine, General & Internal
Asa Cajander, Isto Huvila, Minna Salminen-Karlsson, Thomas Lind, Isabella Scandurra
Summary: The introduction of patient accessible electronic health records in Sweden's national healthcare service has led to positive expectations among nurses, such as improved quality of care and work environment, with concerns about patients' well-being. Younger nurses tend to be slightly more negative towards the implementation compared to older nurses.
Article
Medicine, General & Internal
Ciaran McInerney, Carolyn McCrorie, Jonathan Benn, Ibrahim Habli, Tom Lawton, Teumzghi F. Mebrahtu, Rebecca Randell, Naeem Sheikh, Owen Johnson
Summary: This paper presents a study protocol for evaluating the implementation of a real-time, centralized hospital command center in the UK. The command center is a complex intervention that could improve operational decision-making and mitigate threats to patient safety. The study aims to address the limited research on the impact of complex health information technology on patient safety, reliability, and operational efficiency in healthcare delivery.
Article
Medicine, General & Internal
Lisa Grossman Liu, James R. Rogers, Rollin Reeder, Colin G. Walsh, Devan Kansagara, David K. Vawdrey, Hojjat Salmasian
Summary: The study critically appraised readmission models in the literature using expert recommendations, finding that many models had weaknesses in development such as lack of internal validation, consideration of readmission at other institutions, missing data, discussion of data preprocessing, and stating eligibility criteria. The high prevalence of these weaknesses identified in published models may compromise predictive validity, and CAMPR may help to identify and prevent future weaknesses in model development.
Article
Public, Environmental & Occupational Health
David Merola, Sebastian Schneeweiss, Deborah Schrag, Joyce Lii, Kueiyu Joshua Lin
Summary: This study aims to develop an algorithm that can identify oncology patients with high electronic health record (EHR) continuity. The results show that using this algorithm for prediction can significantly reduce variable misclassification and improve sensitivity without greatly impacting representativeness.
ANNALS OF EPIDEMIOLOGY
(2022)