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    774 research outputs found

    Tiered Skills Acquisition Model Implementation Parkview Health Centers for Wound Healing

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    This poster was presented at the 2025 Parkview Nursing Research Symposium. Implement TSAM at Parkview Centers for Wound Healing to: Ensure consistent delivery of high-quality nursing care Establish standardization to equip nurses to float between outpatient wound clinic locations, promoting flexibility and operational efficiency Support preceptor flexibility to continue an orientee’s training, regardless of the availability of the primary preceptor, expediting orientation Increase confidence of outpatient wound care nurses for independent practice following orientation Increase nursing retention rate

    Optimizing Defibrillation Response: A Quality Improvement Initiative in the Cath Lab

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    This poster was presented at the 2025 Parkview Nursing Research Symposium. Patients undergoing diagnostic or emergent procedures in the Cardiac Cath Lab are at risk of developing lethal arrhythmias, which require immediate defibrillation to prevent adverse outcomes. Currently, the use of paddles and the absence of pre-applied defibrillator pads delay response time during critical events, increasing the risk of morbidity and mortality. Additionally, there is a liability when staff assume which patients are “high risk” versus “diagnostic,” as even seemingly low-risk cases can rapidly deteriorate without warning. This quality improvement initiative aims to address this gap by ensuring defibrillator pads are preemptively placed on all patients to enhance readiness and improve patient safety

    Empowering Nursing Teams to Prevent Delirium

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    Project Aim: To empower nursing teams to reduce delirium by using an embedded evidence-based delirium prevention bundle. Presented at the 6th Annual Parkview Nursing Research and Evidence-Based Practice Symposium. Theme: “From Paper to Practice: The Art of Implementation Science,” at the Parkview Mirro Center for Research and Innovation

    Pairing Vashe and Cavilon Advanced Skin Protectant for an Innovative Approach to Neonatal Diaper Dermatitis Treatment

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    This poster was presented at the 2025 Nursing Research Symposium. Objective: To implement a new process that allows Vashe and Cavilon Advanced Skin Protectant to be used together in order to improve healing time of diaper dermatitis

    Objective Performance Status: Enhancing Cancer Patient Fitness Assessment With Wearable Technology.

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    Research output: Contribution to journal › Editorial › peer-revie

    Issue 13: Pulmonary & Critical Care Insider

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    Pulmonary & Critical Care Insider Issue 13 Compiled by Bharat Bajantri, MD, and librarian Sarah Ellsworth, MLS for the clinicians of the Pulmonary and Critical Care team of Parkview. The Pulmonary & Critical Care Insider newsletter was created by Dr. Bharat Bajantri, MD and Sarah Ellsworth, MLS in 2023 as a form of current awareness for current practice at our hospital, Parkview Health. Topics: Original Study Summaries from early 2025 with clinical implications: pGGNs thresholds, Phosphodiesterase-5 Inhibitors with COPD, TTIP ventilation, TAPSE/sPAP Ratio, Propofol, Triglycerides, & Pancreatitis, PEERLESS trial, Metagenomic NGS for SCAP, Termination of Resuscitation (TOR) Guidelines, Intermittent Fasting vs Daily Caloric Restriction, TASC trial, Wearable Ring Oximete

    Parent and child attachment-like behaviors with conversational AI agents and perceptions of impact on family dynamics

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    Objective: We explored parents’ and children’s attachment-like behaviors with artificial intelligence (AI)-enabled smart speakers (often called digital assistants; DAs) and associations with perceived impacts on family dynamics. Background: DAs (e.g., Alexa) are increasingly integrated into homes, with prior research reporting varied uses, benefits, and concerns, including perceived emotional attachments among children. Method: We conducted an online survey of 351 parents who owned DAs to assess frequency of use, perception of positive/negative impacts, and attachment-like behaviors with DAs. Utilizing linear regression we examined associations between variables. Results: Approximately half reported at least daily DA use. Overall, participants reported moderate attachment-like behavior, with moderate positive impacts and low negative impacts; greater attachment-like behavior was positively associated with perceptions of both positive and negative impacts as well as frequency of use. Conclusion: Higher frequency of DA use and parents’ perceptions of impact—greater positive and greater negative—were associated with higher levels of attachment-like behavior. Implications: As DAs and generative AI become more advanced, human-AI relationships will likely become more complex, and continued research should assess their impact on families and child development. Full Report forthcomin

    Issue 15: Pulmonary & Critical Care Insider

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    Pulmonary & Critical Care Insider Issue 15 Compiled by Bharat Bajantri, MD, and librarian Sarah Ellsworth, MLS for the clinicians of the Pulmonary and Critical Care team of Parkview. The Pulmonary & Critical Care Insider newsletter was created by Dr. Bharat Bajantri, MD and Sarah Ellsworth, MLS in 2023 as a form of current awareness for current practice at our hospital, Parkview Health. Topics: 2025 Guidelines for ANCA Vasculitis Airway Scaffolds for Emphysema: Six-Month BREATHE TRIAL Results Tackling Emphysema-Related Hyperinflation: Scaffolds, Valves, or Vapor? How They Work? Bactericidal vs. Bacteriostatic Antibiotics in Critically Ill Patients Modified Cuff Leak Test (CLT) and Post-Extubation Stridor 2025 PADIS Guideline Updates Haloperidol is Safe- No Extra Arrhythmia Risk. A BREATHE of Fresh new antifibrotics? What You Eat is What You Breathe! :Systemic Inflammation, Diet Quality, and COPD Outcomes Rewriting the Playbook: Molecular Subtypes and Targeted Therapy in Small Cell Lung Cancer Segmentectomy, Lobectomy, or Wedge Resection in Stage IA NSCLC: What Does the Evidence Say

    Large North American Multicenter Experience on Endoscopic Submucosal Dissection of Rectal Neoplasms Extending to the Dentate Line.

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    INTRODUCTION: The ideal resection strategy for rectal neoplasms extending to the dentate line (RNDLs) remains unclear. Transanal surgical approaches and endoscopic mucosal resection (EMR) have their limitations related to inadequate visualization, device maneuverability, and securing an adequate margin on the anal side. Endoscopic submucosal dissection (ESD) appears to overcome some of the limitations of transanal surgical and snare-based endoscopic techniques. Therefore, we evaluated the safety and efficacy of ESD for resection of distal rectal lesions within 2 cm of the dentate line. METHODS: This is a large-scale multicenter retrospective study of patients who underwent ESD for RNDLs between 2015 and 2023. The primary outcomes were the rates of R0 and en bloc resection. Secondary outcomes were immediate and delayed adverse events. RESULTS: A total of 255 patients across 20 institutions were included (mean age 63.60, women 52.20%). The median lesion size was 40 mm (IQR: 30 to 55), and the median resection time was 110 minutes (IQR: 81 to 169). The en bloc resection rate was 93.70% (n=236), and the rate of R0 resection was 85.40% (n=216). The rate of overall adverse events was 8.70% (n=22, 95% CI: 5.22% to 12.17%), with 13 cases of bleeding (5.10%), 4 cases of full-thickness perforation, and 1 case of postprocedural pain requiring intervention. All AEs were managed conservatively without the need for subsequent surgical or endoscopic interventions. CONCLUSIONS: ESD is safe and effective for resecting RNDLs with high en bloc and R0 resection rates, offering the potential for complete resection with minimal morbidity. It offers advantages over TEN, TAMIS, and other forms of transanal surgery due to the anatomy being less conducive to the equipment required for these techniques, lower cost, and lower rates of complications. However, careful patient selection, meticulous procedural planning, and close follow-up are essential to ensure optimal outcomes and minimize the risk of complications. Long-term follow-up studies and additional prospective controlled trials are warranted

    Ambient Artificial Intelligence in Health Care Documentation: A Review of Tools, Integration, and Clinical Implications

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    Introduction: Ambient artificial intelligence (AAI) is increasingly being integrated into clinical workflows to address the documentation burden contributing to clinician burnout. AAI systems use automatic speech recognition and natural language processing to capture real-time clinician–patient dialogue and generate structured documentation within the electronic health record. Methods: This review examines AAI’s technical foundations, clinical applications, and implementation considerations in oncology practice. We describe how current AAI tools extract, classify, and populate relevant clinical content, such as the history of present illness, physical examination findings, and assessment and plan, while adhering to established US coding standards (e.g., International Classification of Diseases [ICD-10]). Key commercially available systems, including Nuance DAX Copilot, Ambience Healthcare, Tali AI, Athelas Scribe, and Nabla, are compared in terms of functionality, integration capabilities, and reported outcomes. Practical guidance is provided on clinician onboarding, device setup, customization, and patient consent. Results: Early data suggest AAI implementation can reduce after-hours documentation, improve note quality, and enhance coding accuracy. However, barriers such as transcription errors, hallucinations, and workflow disruptions must be proactively addressed. To ensure safe and effective integration, oncology practices adopting AAI should prioritize targeted training, documentation oversight, and user feedback. Conclusion: Although preliminary findings are promising, further prospective, multi-institutional studies are warranted to evaluate the impact of AAI on clinical efficiency, data quality, and patient outcomes in oncology. This review provides a foundational framework for researchers, clinicians, and health systems seeking to implement AAI in precision oncology documentation

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