We present our work on aligning the Unified Medical Language System (UMLS) to Wikipedia, to facilitate manual alignment of the two resources. We propose a cross-lingual neural reranking model to match a UMLS concept with a Wikipedia page, which achieves a recall@1of 72%, a substantial improvement of 20% over word- and char-level BM25, enabling manual
Artificial intelligence is one of the most exciting methodological shifts in our era. It holds the potential to transform healthcare as we know it, to a system where humans and machines work together to provide better treatment for our patients. It is now clear that cutting edge artificial intelligence models in conjunction with high-quality clinical
Background: Location-based augmented reality (AR) games, such as Pokémon GO and Harry Potter: Wizards Unite, have been shown to have a beneficial impact on the physical activity, social connectedness, and mental health of their players. In March 2020, global social distancing measures related to the COVID-19 pandemic prompted the AR games developer Niantic Inc to
In the Big Data era, there is an increasing need to fully exploit and analyze the huge quantity of information available about health. Natural Language Processing (NLP) technologies can contribute by extracting relevant information from unstructured data contained in Electronic Health Records (EHR) such as clinical notes, patients’ discharge summaries and radiology reports. The extracted
How to complete a full Systematic Review in 2 weeks rather than 1 year Before every great breakthrough there’s a dream or a vision. And one of the dreams of Chief Investigator Professor Paul Glasziou was to undertake systematic reviews in 2-weeks. Why, you might ask? Traditionally, systematic reviews have taken, on average, 67 weeks
Patients are increasingly encouraged to take an active role in managing their health and healthcare. New technologies, cultural shifts, trends in healthcare delivery, and policies have brought to the forefront the “”work”” patients, families, and other non-professionals perform in pursuit of health. This volume provides a theoretical and methodological foundation for the emerging discipline of
Dear Editors, We would like to thank Yan et al. for providing us with an opportunity to expand on the applicability of our 2-week systematic review (2weekSR) processes [1]. Yan et al. correctly point out that “it is important to recognize not all systematic reviews (SRs) are created equal and complexity of the [SR] topic
The news headlines report daily on the global political impacts of digital technology: the secondary use of social media data has been implicated in election meddling, though the complex issues surrounding data governance, data ownership and the ethics of personalised advertising remain to be addressed. Meanwhile, digital automation drives unemployment and income inequality, even as
Primary care is where the health care system meets the people – the first point of care for the citizenry. General practice and primary care DH&IT tools are essential strategies to strengthen health systems to achieve health priorities and universal health coverage and sustainable development goals. While primary care DH&IT systems are just as if
Comparative microbial genomics analysis by high-throughput whole-genome sequencing (WGS) offers exquisite resolution for epidemiological investigations of infectious disease. This approach has revolutionized outbreak detection and monitoring of transmission dynamics of infectious agents and antimicrobial resistance across humans, animals, and environment. The objective of this Research Topic was to assemble articles on genomic epidemiological approaches to
Unstructured electronic health records are valuable resources for research. Before they are shared with researchers, protected health information needs to be removed from these unstructured documents to protect patient privacy. The main steps involved in removing protected health information are accurately identifying sensitive information in the documents and removing the identified information. To keep the
Coordination is required to future‐proof Australia’s capacity and leadership in public health genomics. Infectious diseases are an ever‐present risk to society, particularly because of globalisation and the threat of antimicrobial‐resistant organisms. Recently, a World Health Organization (WHO) team conducted a joint external evaluation of Australia’s core capacities under the International Health Regulations. The evaluation gave
Objective: To develop and externally validate COVID-19 Estimated Risk (COVER) scores that quantify a patient’s risk of hospital admission (COVER-H), requiring intensive services (COVER-I), or fatality (COVER-F) in the 30-days following COVID-19 diagnosis. Methods: We analyzed a federated network of electronic medical records and administrative claims data from 14 data sources and 6 countries. We
Background: SARS-CoV-2 is straining healthcare systems globally. The burden on hospitals during the pandemic could be reduced by implementing prediction models that can discriminate between patients requiring hospitalization and those who do not. The COVID-19 vulnerability (C-19) index, a model that predicts which patients will be admitted to hospital for treatment of pneumonia or pneumonia
