Purpose: This report describes an ongoing transition from the HELP Hospital Information System to HELP II, a replacement Health Information System built to manage clinical information captured in a variety of medical settings. The focus of the article is on the medical decision support provided by this system and studied by researchers at the University of Utah and Intermountain Health Care (IHC), a large health care organization in Utah, for many years.
Methods: Select success features of the original HELP system's decision support environment are identified and lessons learned are related. Plans for transferring these features to HELP II are discussed.
Results: The article focuses on four features: (1) the importance of easy access to patient data essential for decision support, (2) the commitment to continued measurement and revision of both the logic and the interventional strategy in a decision support application, (3) experience with data mining as a tool for developing decision support tools, and (4) the role of clinical reports in supporting the decision making process.
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http://dx.doi.org/10.1016/s1386-5056(02)00110-7 | DOI Listing |
Infect Dis Ther
January 2025
ViiV Healthcare, Madrid, Spain.
Introduction: Dolutegravir (DTG) + lamivudine (3TC) demonstrated high rates of virologic suppression (VS) and low rates of virologic failure (VF), discontinuation, and drug resistance in randomized trials. Real-world evidence can support treatment effectiveness, safety, and tolerability in clinical practice and aid in treatment decisions.
Methods: A systematic literature review (SLR) was conducted to identify studies using DTG + 3TC (January 2013-March 2024).
Drugs Aging
January 2025
Program for the Care and Study of the Aging Heart, Department of Medicine, Weill Cornell Medicine, 420 East 70th St, New York, NY, LH-36510063, USA.
There are several pharmacologic agents that have been touted as guideline-directed medical therapy for heart failure with preserved ejection fraction (HFpEF). However, it is important to recognize that older adults with HFpEF also contend with an increased risk for adverse effects from medications due to age-related changes in pharmacokinetics and pharmacodynamics of medications, as well as the concurrence of geriatric conditions such as polypharmacy and frailty. With this review, we discuss the underlying evidence for the benefits of various treatments in HFpEF and incorporate key considerations for older adults, a subpopulation that may be at higher risk for adverse drug events.
View Article and Find Full Text PDFJ Clin Monit Comput
January 2025
Department of Anaesthesiology and Intensive Care, Bicetre hospital, Assistance Publique Hôpitaux de Paris (AP-HP), Le Kremlin Bicetre, France.
Intravenous fluid is administered during high-risk surgery to optimize stroke volume (SV). To assess ongoing need for fluids, the hemodynamic response to a fluid bolus is evaluated using a fluid challenge technique. The Acumen Assisted Fluid Management (AFM) system is a decision support tool designed to ease the application of fluid challenges and thus improve fluid administration during high-risk surgery.
View Article and Find Full Text PDFArch Dermatol Res
January 2025
Department of Physiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary.
We have recently shown that fluoxetine (FX) suppressed polyinosinic-polycytidylic acid-induced inflammatory response and endothelin release in human epidermal keratinocytes, via the indirect inhibition of the phosphoinositide 3-kinase (PI3K)-pathway. Because PI3K-signaling is a positive regulator of the proliferation, in the current, highly focused follow-up study, we assessed the effects of FX (14 µM) on the proliferation and differentiation of human epidermal keratinocytes. We found that FX exerted anti-proliferative actions in 2D cultures (HaCaT and primary human epidermal keratinocytes [NHEKs]; 48- and 72-h; CyQUANT-assay) as well as in 3D reconstructed epidermal equivalents (48-h; Ki-67 immunohistochemistry).
View Article and Find Full Text PDFPediatr Cardiol
January 2025
Department of Infectious Disease, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, No. 1678 Dongfang Road, Pudong New Area, Shanghai, 200127, China.
Kawasaki disease (KD) is a febrile vasculitis disorder, with coronary artery lesions (CALs) being the most severe complication. Early detection of CALs is challenging due to limitations in echocardiographic equipment (UCG). This study aimed to develop and validate an artificial intelligence algorithm to distinguish CALs in KD patients and support diagnostic decision-making at admission.
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