Objectives: Our academic health care institution was the victim of a cyberattack that led to a complete shutdown of major patient care, operational, and communication systems, including our electronic health record (EHR), laboratory information system, pharmacy, scheduling, billing and coding, imaging software, internet, hospital shared computer drives, payroll, and digital communications. The EHR remained down for 25 days, significantly affecting our clinical pathology (CP) laboratory operations.
Methods: During the downtime, our CP laboratory incorporated manual interventions for patient specimen testing, recruited additional staff for reporting results, and employed multiple communication modalities to support patient care. The crisis required a swift response, employing innovative approaches to mitigate patient harm; regular, multidisciplinary engagement; and consistent, broad-reaching communications. CP leadership worked with hospital administration, staff, and our referral clients to provide the timely laboratory results needed for acute patient care.
Results: During this downtime, the laboratory lacked accurate information about the number of patient samples diverted to other laboratories, the number of specimens processed, and the number of test results reported.
Conclusions: This paper focuses on the approaches the CP division took to develop and maintain downtime operations. Laboratories should consider these strategies in preparation for a prolonged downtime.
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http://dx.doi.org/10.1093/ajcp/aqab213 | DOI Listing |
J Surg Res
January 2025
Department of Surgery, Washington University School of Medicine, Saint Louis, Missouri.
Background: Radioactive iodine (RAI) is a common treatment for various thyroid diseases. Previous studies have suggested susceptibility of parathyroid glands to the mutagenic effect of RAI and the development of primary hyperparathyroidism (PHPT). We tested the possible link between prior RAI treatment, disease presentation, and treatment outcomes.
View Article and Find Full Text PDFInt J Med Inform
January 2025
Department of Computer Science and Artificial Intelligence, University of Udine, 33100, Italy.
Background: Segmentation models for clinical data experience severe performance degradation when trained on a single client from one domain and distributed to other clients from different domain. Federated Learning (FL) provides a solution by enabling multi-party collaborative learning without compromising the confidentiality of clients' private data.
Methods: In this paper, we propose a cross-domain FL method for Weakly Supervised Semantic Segmentation (FL-W3S) of white blood cells in microscopic images.
Clin Oncol (R Coll Radiol)
December 2024
Faculty of Medicine and Health Sciences, University of Antwerp, Prinsstraat 13, 2000, Antwerp, Belgium; Department of Radiation Oncology, Iridium Netwerk, Oosterveldlaan 22, 2610, Antwerp, Belgium. Electronic address:
Aim: Tumour-infiltrating lymphocytes (TILs) represent a promising cancer biomarker. Different TILs, including CD8+, CD4+, CD3+, and FOXP3+, have been associated with clinical outcomes. However, data are lacking regarding the value of TILs for patients receiving radiation therapy (RT).
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Department of Internal Medicine, Division of Hematology and Oncology, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Republic of Korea.
Rationale: Aggressive angiomyxoma (AAM) is an exceptionally rare mesenchymal tumor that predominantly manifests in the female genital organs during the reproductive age. Its rarity alone makes it a fascinating subject for study. The diagnosis of AAM necessitates differentiation from other benign or mesenchymal tumors and can be confirmed through immunohistochemistry (IHC) staining.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Department of Orthopedics, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, Guangxi Zhuang Autonomous Region, China.
This study compares and investigates the efficacy of 2 different surgical methods for early stage femoral head necrosis and analyze the factors affecting surgical outcomes and long-term femoral head survival. A retrospective analysis was conducted on the clinical data of 48 patients (52 hips) with femoral head necrosis who underwent either the Super-Path or Watson-Jones approach from January 1, 2016, to January 1, 2024. Harris scores at multiple time points before and after surgery were compared using repeated-measures analysis of variance (ANOVA), and a COX proportional hazards model was used to analyze risk factors.
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