Publications by authors named "Kate Hollis"

Objectives: To introduce the 2023 International Medical Informatics Association (IMIA) Yearbook by the editors.

Methods: The editorial provides an introduction and overview to the 2023 IMIA Yearbook where the special topic is "Informatics for One Health". The special topic, survey papers and some best papers are discussed.

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Objectives: To introduce the 2022 International Medical Informatics Association (IMIA) Yearbook by the editors.

Methods: The editorial provides an introduction and overview to the 2022 IMIA Yearbook whose special topic is "Inclusive Digital Health: Addressing Equity, Literacy, and Bias for Resilient Health Systems". The special topic, survey papers, section editor synopses and some best papers are discussed.

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Objectives: To introduce the 2021 International Medical Informatics Association (IMIA) Yearbook by the editors.

Methods: The editorial provides an introduction and overview to the 2021 IMIA Yearbook whose special topic is "Managing Pandemics with Health Informatics - Successes and Challenges". The Special Topic, the keynote paper, and survey papers are discussed.

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Objectives: To provide an introduction to the 2020 International Medical Informatics Association (IMIA) Yearbook by the editors.

Methods: This editorial provides an introduction and overview to the 2020 IMIA Yearbook which special topic is: "Ethics in Health Informatics". The keynote paper, the survey paper of the Special Topic section, and the paper about Donald Lindberg's ethical scientific openness in the History of Medical Informatics chapter of the Yearbook are discussed.

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The Text REtrieval Conference (TREC), co-sponsored by the National Institute of Standards and Technology (NIST) in the US and US Department of Defense, was started in 1992. TREC's purpose is to support research within the information retrieval community by providing the infrastructure necessary for large-scale evaluation of text retrieval methodologies. In 2017, the TREC Precision Medicine (Roberts et al.

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Objectives: To provide an introduction to the 2019 International Medical Informatics Association (IMIA) Yearbook by the editors.

Methods: This editorial presents an overview and introduction to the 2019 IMIA Yearbook which includes the special topic "Artificial Intelligence in Health: New Opportunities, Challenges, and Practical Implications". The special topic is discussed, the IMIA President's statement is introduced, and changes in the Yearbook editorial team are described.

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Introduction: It is not clear how to effectively recruit healthy research volunteers.

Methods: We developed an electronic health record (EHR)-based algorithm to identify healthy subjects, who were randomly assigned to receive an invitation to join a research registry via the EHR's patient portal, letters, or phone calls. A follow-up survey assessed contact preferences.

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The Health Information Technology for Economic and Clinical Health (HITECH) Act proposes the meaningful use of interoperable electronic health records throughout the United States health care delivery system as a critical national goal. As we have moved from medical records on paper to interoperable electronic health records, the rapid and easy sharing of medical data through the Internet makes medical data insecure. Electronic data is easy to share but many steps to ensure security of the data need to be taken.

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Aim: To investigate the prevalence, perceived causes and relationship to psychological well-being of verbal abuse in a National Health Service (NHS) ambulance service control room (ASCR).

Method: Questionnaire survey with ASCR personnel (n = 48).

Results: 7% of calls per shift were verbally abusive; the most common sources were patients or emergency callers.

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An insight into protein mechanisms involved in disease is critical to the discovery and design of new therapeutic tools. Direct protein analysis provides a method for studying the proteome of a tissue irrespective of an in-depth knowledge of its transcriptome. The development of a human central nervous system (CNS) proteome database ultimately will serve to accelerate the development of specific diagnostic and prognostic markers, neuropsychiatric disease markers, and the corresponding therapeutic tools.

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