Over a period of 10 years the Hospital Authority has developed an integrated clinical information system (The Clinical Management System-CMS), including a territory-wide longitudinal electronic patient record (ePR). The CMS and ePR are used by over 4000 doctors and 20,000 other clinicians to document and review care. The ePR currently has nearly 3TB of data covering 44 million episodes for 6.4 million patients. To date the CMS has largely dealt with textual data. However, PACS technology is increasingly being adopted in the HA. This paper describes our strategy for taking the hospital image archives and making them available throughout the Authority as part of the longitudinal patient record, leveraging the ePR to distribute radiological and other images in a manner which is integrated, affordable and sustainable.
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http://dx.doi.org/10.1016/j.compmedimag.2004.09.007 | DOI Listing |
Clin Toxicol (Phila)
January 2025
Rocky Mountain Poison and Drug Safety Center, Denver, CO, USA.
Introduction: Glucagon-like peptide-1 agonists have gained attention in recent years due to their efficacy in managing type II diabetes mellitus and their emerging role in weight management. The purpose of this study was to characterize glucagon-like peptide-1 agonist exposures reported to a single United States regional poison center over nine years, including causes of exposure, associated clinical effects, and potential areas for improving patient education and safety.
Methods: This retrospective cohort study analyzed all poison center calls involving glucagon-like peptide-1 agonists submitted to a single United States regional poison center from 14 January 2014 to 1 May 2023.
Am J Cancer Res
December 2024
Department of Hematology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China Hefei 230001, Anhui, China.
Objective: To retrospectively analyze the incidence of infections in elderly acute myeloid leukemia (AML) patients undergoing induction therapy with venetoclax combined with hypomethylating agents and to compare these findings with those from patients receiving standard or low-dose chemotherapy.
Methods: Medical records of 169 elderly (≥60 years old) AML patients diagnosed via MICM (morphology, immunology, cytogenetics, and molecular genetics) at the First Affiliated Hospital of USTC between June 2019 and June 2022 were reviewed. Patients were divided into three groups: venetoclax combined with hypomethylating agents group (targeted therapy group), standard chemotherapy group, and low-dose chemotherapy group.
Background: Atrial fibrillation (AF) has a significant impact on health and quality of life. The relationship of AF burden and temporal patterns of AF on patient symptoms, outcomes, and healthcare utilization is unknown. Insertable cardiac monitors (ICMs) are a strategic and as yet untapped, tool to investigate these relationships.
View Article and Find Full Text PDFHeart Rhythm O2
December 2024
Philips, San Diego, California.
Cardiac implantable electronic devices (CIEDs) generate substantial data, often stored in image or PDF formats. Remote monitoring, now an integral component of patient care, places considerable administrative burdens on clinicians and staff, in large part due to the challenge of integrating these data seamlessly into electronic health records. Since 2006, the Heart Rhythm Society, in collaboration with the CIED industry, has led an initiative to establish a unified standard nomenclature.
View Article and Find Full Text PDFHeart Rhythm O2
December 2024
Pfizer Inc, New York, New York.
Background: Prediction models for atrial fibrillation (AF) may enable earlier detection and guideline-directed treatment decisions. However, model bias may lead to inaccurate predictions and unintended consequences.
Objective: The purpose of this study was to validate, assess bias, and improve generalizability of "UNAFIED-10," a 2-year, 10-variable predictive model of undiagnosed AF in a national data set (originally developed using the Indiana Network for Patient Care regional data).
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