Implementing a closed loop clinical decision support system for sustainable preoperative care by José Luis Gracia Martínez, Bernadette Pfang, Miguel Ángel Morales Coca, Cristina Caramés Sánchez, Marta del Olmo Rodríguez, Marco Antonio Villegas García, Jorge Short Apellaniz, Javier Arcos Campillo, Juan Antonio Álvaro de la Parra, Florencia Manzano Lorefice, Luis Enrique Muñoz Alameda

“…We describe the effects of implementing a fully EHR-integrated closed-loop clinical decision support system (CDSS) for placing automatic preprocedural test orders at two teaching hospitals in Madrid, Spain. …”
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Exploring the need for a clinical decision support system for deprescribing - A qualitative interview study by Aryoutha Asmar Talani, Tora Hammar, Ylva Böttiger

Subjects: “…Clinical decision support system…”
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Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study by Godwin Denk Giebel, Pascal Raszke, Hartmuth Nowak, Lars Palmowski, Michael Adamzik, Philipp Heinz, Marianne Tokic, Nina Timmesfeld, Frank Brunkhorst, Jürgen Wasem, Nikola Blase

“…The integration of AI is particularly promising in clinical decision support systems (CDSSs). While the opportunities of this technology are numerous, the problems should not be overlooked. …”
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In Silico Evaluation of Algorithm-Based Clinical Decision Support Systems: Protocol for a Scoping Review by Michael Dorosan, Ya-Lin Chen, Qingyuan Zhuang, Shao Wei Sean Lam

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Barriers and facilitators to the implementation and adoption of computerised clinical decision support systems: an umbrella review protocol by Anna Katharina Böhm-Hustede, Johanna Sophie Lubasch, Anna Thalea Hoogestraat, Eike Buhr, Antje Wulff

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Using a clinical decision support system to reduce excess driving pressure: the ALARM trial by Ursula Burger-Klepp, Mathias Maleczek, Robin Ristl, Bettina Kroyer, Marcus Raudner, Claus G. Krenn, Roman Ullrich

“…Conclusions In a population at risk of ARDS, a combined intervention of a clinical decision support system and a nudge intervention was shown to reduce the excessive driving pressure above 15 mbar in augmented but not in controlled modes of ventilation.…”
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The Effect of Clinical Decision Support System on the Rates of Patients Who Reapply to the Emergency Department with the Same Diagnosis by İlker Köse, Elife Özkan

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Enhancing prehospital decision-making: exploring user needs and design considerations for clinical decision support systems by Enze Bai, Zhan Zhang, Yincao Xu, Xiao Luo, Kathleen Adelgais

Subjects: “…Clinical decision support system…”
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Effectiveness of an electronic clinical decision support system in improving the management of childhood illness in primary care in rural Nigeria: an observational study by Marek Kwiatkowski, Rodolfo Rossi, Torsten Schmitz, Fenella Beynon, Capucine Musard, Marco Landi, Daniel Ishaya, Jeremiah Zira, Muazu Muazu, Camille Renner, Edwin Emmanuel, Solomon Gideon Bulus

“…Objectives To evaluate the impact of ALgorithm for the MANAgement of CHildhood illness (‘ALMANACH’), a digital clinical decision support system (CDSS) based on the Integrated Management of Childhood Illness, on health and quality of care outcomes for sick children attending primary healthcare (PHC) facilities.Design Observational study, comparing outcomes of children attending facilities implementing ALMANACH with control facilities not yet implementing ALMANACH.Setting PHC facilities in Adamawa State, North-Eastern Nigeria.Participants Children 2–59 months presenting with an acute illness. …”
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Current state and promise of user-centered design to harness explainable AI in clinical decision-support systems for patients with CNS tumors by Eric W. Prince, Eric W. Prince, Eric W. Prince, David M. Mirsky, David M. Mirsky, Todd C. Hankinson, Todd C. Hankinson, Carsten Görg, Carsten Görg

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User-Oriented Requirements for Artificial Intelligence–Based Clinical Decision Support Systems in Sepsis: Protocol for a Multimethod Research Project by Pascal Raszke, Godwin Denk Giebel, Carina Abels, Jürgen Wasem, Michael Adamzik, Hartmuth Nowak, Lars Palmowski, Philipp Heinz, Silke Mreyen, Nina Timmesfeld, Marianne Tokic, Frank Martin Brunkhorst, Nikola Blase

“… BackgroundArtificial intelligence (AI)–based clinical decision support systems (CDSS) have been developed for several diseases. …”
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Does Gastroenterology Need Artificial Intelligence? by S. M. Kurbatsky

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Design and validation of a new Healthcare Systems Usability Scale (HSUS) for clinical decision support systems: a mixed-methods approach by Peter J Watkinson, Abir Ghorayeb, Julie L Darbyshire, Marta W Wronikowska

“…Objective To develop and validate a questionnaire to assess the usability of clinical decision support systems (CDSS) and to assist in the early identification of usability issues that may impact patient safety and quality of care.Design Mixed research methods were used to develop and validate the questionnaire. …”
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Using a Clinical Decision Support System to Improve Anticoagulation in Patients with Nonvalve Atrial Fibrillation in China’s Primary Care Settings: A Feasibility Study by Xueying Ru, Tianhao Wang, Lan Zhu, Yunhui Ma, Liqun Qian, Huan Sun, Zhigang Pan

“…To primarily investigate the effect of using a clinical decision support system (CDSS) in community health centers in Shanghai, China, on the proportion of patients prescribed guideline-directed antithrombotic therapy. …”
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The Willingness of Doctors to Adopt Artificial Intelligence–Driven Clinical Decision Support Systems at Different Hospitals in China: Fuzzy Set Qualitative Comparative Analysis of Survey Data by Zhongguang Yu, Ning Hu, Qiuyi Zhao, Xiang Hu, Cunbo Jia, Chunyu Zhang, Bing Liu, Yanping Li

“… BackgroundArtificial intelligence–driven clinical decision support systems (AI-CDSSs) are pivotal tools for doctors to improve diagnostic and treatment processes, as well as improve the efficiency and quality of health care services. …”
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Efficacy and safety of an algorithm using C-reactive protein to guide antibiotic therapy applied through a digital clinical decision support system: a study protocol for a randomised controlled clinical trial by Vandack Nobre, Pedro R Povoa, Vitoria Moura Leite Rabelo Rezende, Isabela Nascimento Borges, Cecilia Gomez Ravetti, Renan Pedra De Souza, Paula Frizera Vassalo, Ana Clara de Paula Caldas, Felipe Rodrigues Gatto, Getulio Hideyoshi Okamura, Raquel Lopes de Brito Lacerda

“…It will be applied through a mobile application as a digital clinical decision support system. The primary goal will be to assess the algorithm’s effectiveness in reducing treatment duration compared with standard care based on current guidelines, while ensuring patient safety by monitoring the occurrence of adverse events.Ethics and dissemination Only patients who agree to participate in the study after reading the informed consent form will be included. …”
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Acceptance of artificial intelligence clinical assistant decision support system to prevent and control venous thromboembolism among healthcare workers: an extend Unified Theory of... by Jingxian Wang, Yun Zhou, Yun Zhou, Kai Tan, Zhigang Yu, You Li

Subjects: “…clinical decision support system…”
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Development and validation of a screening tool for sepsis without laboratory results in the emergency department: a machine learning studyResearch in context by Shan Jiang, Shuai Dai, Yulin Li, Xianlong Zhou, Cheng Jiang, Cong Tian, Yana Yuan, Chengwei Li, Yan Zhao

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Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards by Cosima Strantz, Dominik Böhm, Thomas Ganslandt, Melanie Börries, Patrick Metzger, Thomas Pauli, Andreas Blaumeiser, Alexander Scheiter, Ian-Christopher Jung, Jan Christoph, Iryna Manuilova, Konstantin Strauch, Arsenij Ustjanzew, Niklas Reimer, Hauke Busch, Philipp Unberath

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Benchmarking LLM chatbots’ oncological knowledge with the Turkish Society of Medical Oncology’s annual board examination questions by Efe Cem Erdat, Engin Eren Kavak

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