Digital Health Technology Interventions for Improving Medication Safety: Systematic Review of Economic Evaluations by Widya Norma Insani, Neily Zakiyah, Irma Melyani Puspitasari, Muhammad Yorga Permana, Kankan Parmikanti, Endang Rusyaman, Auliya Abdurrohim Suwantika

“…Of the included studies, more than half (n=7, 53.9%) evaluated a clinical decision support system (CDSS)/computerized provider order entry (CPOE), 4 (30.8%) examined automated medication-dispensing systems, and 2 (15.4%) focused on pharmacist-led outreach programs targeting health care professionals. …”
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Status of Digital Health Technology Adoption in 5 Vietnamese Hospitals: Cross-Sectional Assessment by Duc Minh Tran, Nguyen Thanh Dung, Chau Minh Duc, Huynh Ngoc Hon, Le Minh Khoi, Nguyen Phuc Hau, Duong Thi Thu Huyen, Huynh Thi Le Thu, Tran Van Duc, Lam Minh Yen, C Louise Thwaites, Chris Paton

“…Two hospitals were not using any electronic medical record (EMR) system or fulfilling any extra digital capability, such as implementing clinical data repositories (CDRs) and clinical decision support systems (CDSS). No hospital reported sharing clinical data with other organizations using Health Level Seven (HL7) standards, such as Continuity of Care Document (CCD) and Clinical Document Architecture (CDA), although 2 (40%) reported their systems adopted these standards. …”
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Application of large language models in disease diagnosis and treatment by Xintian Yang, Tongxin Li, Qin Su, Yaling Liu, Chenxi Kang, Yong Lyu, Lina Zhao, Yongzhan Nie, Yanglin Pan, Yuanyuan Ji

“…These models can also assist in treatment planning by suggesting evidence-based interventions and improving clinical decision support systems through integrated analysis of patient records. …”
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The INFLUENCE 3.0 model: Updated predictions of locoregional recurrence and contralateral breast cancer, now also suitable for patients treated with neoadjuvant systemic therapy by M.C. Van Maaren, T.A. Hueting, D.J.P. van Uden, M. van Hezewijk, L. de Munck, M.A.M. Mureau, P.A. Seegers, Q.J.M. Voorham, M.K. Schmidt, G.S. Sonke, C.G.M. Groothuis-Oudshoorn, S. Siesling

“…The models have been made available as online tool to enable clinical decision support regarding personalised follow-up.…”
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Supporting primary care clinicians in caring for patients with alcohol use disorder: study protocol for Records for Alcohol Care Enhancement (RACE), a factorial four-arm randomized... by Kara M. Magane, Richard Saitz, Sarah Fielman, Marc R. LaRochelle, Christopher W. Shanahan, Christine A. Pace, Michael LaValley, Kaley Penington, Skylar Karzhevsky, Emily Hurstak

“…Methods PCPs from an urban safety-net hospital-based primary care clinic are randomized to one of four groups (1) EHR best practice advisory (BPA) and clinical decision support tools for unhealthy alcohol use (BPA), (2) BPA plus population health manager support, (3) BPA plus clinical care manager support, and (4) all three. …”
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Protocol for an intervention development and pilot implementation evaluation study of an e-health solution to improve newborn care quality and survival in two low-resource settings... by Hassan Haghparast-Bidgoli, Michelle Heys, Caroline Crehan, Erin Kesler, Monica Lakhanpaul, Emma Wilson, Fabiana Lorencatto, Felicity Fitzgerald, Mario Cortina Borja, Msandeni Chiume, Hannah Gannon, Simbarashe Chimhuya, Gwendoline Chimhini, Tim Hull-Bailey, Tarisai Chiyaka, Yali Sassoon, Deliwe Nkhoma, Nushrat Khan, Alexander G. Stevenson, Kristina Curtis

“…Over the 2-year study period clinical and demographic newborn data will be collected via Neotree, in addition to behavioural science informed qualitative and quantitative implementation evaluation and measures of cost, newborn care quality and usability. Neotree clinical decision support algorithms will be optimised according to best available evidence and clinical validation studies.Ethics and dissemination This is a Wellcome Trust funded project (215742_Z_19_Z). …”
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The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance by Hazrat Bilal, Muhammad Nadeem Khan, Sabir Khan, Muhammad Shafiq, Wenjie Fang, Rahat Ullah Khan, Mujeeb Ur Rahman, Xiaohui Li, Qiao-Li Lv, Bin Xu

“…In addition, AI-based clinical decision support systems in real-time guide healthcare professionals to improve prescribing of antibiotics. …”
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AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study by Tai-Han Lin, Hsing-Yi Chung, Ming-Jr Jian, Chih-Kai Chang, Hung-Hsin Lin, Chiung-Tzu Yen, Sheng-Hui Tang, Pin-Ching Pan, Cherng-Lih Perng, Feng-Yee Chang, Chien-Wen Chen, Hung-Sheng Shang

“…The primary objective was to implement this model within an artificial intelligence–clinical decision support system (AI-CDSS) to enhance early sepsis detection and management in critical care settings. …”
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Big Data Analytics for Healthcare Industry: Impact, Applications, and Tools by Sunil Kumar, Maninder Singh

“…We also explore the conceptual architecture of big data analytics for healthcare which involves the data gathering history of different branches, the genome database, electronic health records, text/imagery, and clinical decisions support system.…”
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Acute kidney injury, the present on admission (POA) indicator and sex disparities: observational study of inpatient real-world data in a Swiss tertiary healthcare system. Explorati... by Michael Simon, Sarah N Musy, Karen Triep, Olga Endrich

“…At the largest Swiss provider of inpatient acute healthcare, a clinic decision support algorithm ensures exact staging of KD (2012 KDIGO Kidney Disease Improving Global Outcomes Clinical Practice Guideline). …”
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