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            "title": "Integration of artificial intelligence as a self-directed learning tool in an undergraduate physiology course.",
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                    "firstName": "P.",
                    "lastName": "Nuñez"
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            "abstractNote": "This study explores the integration of artificial intelligence (AI), specifically ChatGPT, as a self-directed learning tool in an undergraduate physiology-related  course within a Speech Therapy program. The aim was to introduce first-year  Speech Therapy students (n = 30) to AI technologies, assess their prior knowledge  and perceptions, and foster critical thinking regarding AI-generated content,  with a focus on evaluating AI literacy both generally and within the context of  physiology education. A preliminary survey revealed that 73.3% of students (22  out of 30) had previously used AI, while 93% expressed interest in learning about  its academic applications. Students participated in a structured 2-h classroom  session to understand how generative AI works, followed by a group task comparing  traditional and AI-generated responses to academic questions. Notably, students  engaged in a comparative analysis of their own completed work with the  AI-generated version. A postintervention survey indicated that 82% of students  learned new aspects of AI use, 86% found the experience helpful, and 95.5%  emphasized the importance of verifying AI output with other sources. These  findings reflect students' views on both general AI use and physiology-related  academic tasks, suggesting that, with proper guidance, undergraduates can  critically engage with AI tools and recognize their strengths and limitations.  The intervention promoted self-regulated learning, digital literacy, and ethical  awareness in the use of AI, laying the groundwork for broader implementation in  physiology and biomedical education. Furthermore, the findings suggest that  additional faculty training and institutional support could facilitate meaningful  integration of AI into higher education programs.NEW & NOTEWORTHY This study is  among the first to integrate ChatGPT as a self-directed learning tool in  undergraduate physiology education within Speech Therapy. It demonstrates that  first-year students, with minimal prior academic artificial intelligence (AI)  experience, can critically engage with AI-generated content, enhancing digital  literacy and ethical awareness. The research highlights the importance of guided  interventions to promote critical thinking and the need for institutional support  to effectively incorporate AI in health sciences curricula.",
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                    "lastName": "Li"
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            "abstractNote": "OBJECTIVES: Hospital participation in accountable care organizations (ACOs)-Medicare's signature alternative payment model-continues to grow despite mixed evidence on spending and quality. This study examines whether hospital ACO participation is associated with changes in emergency department (ED) admission practices, hospital length of stay (LOS), and spending for unplanned admissions.\nSTUDY DESIGN: A difference-in-differences analysis of Medicare fee-for-service ED visits and hospitalizations (2008-2019).\nMETHODS: Medicare claims were linked to ACO tracking data from Torch Insight to identify hospitals that joined an ACO between 2012 and 2017 (6 cohorts, followed for a maximum of 5 years), the start date of their initial contract, and ACO characteristics. Key outcomes included ED admission and observation stay rates, hospital LOS for emergent admissions, and total costs for an index ED event.\nRESULTS: Among the 995 hospitals (27.6% of the short-term hospitals in our study) that joined a Medicare ACO during the study period, program participation up to 5 years was not associated with changes in the rate of hospitalization from the ED, hospital LOS, or total costs of the index event. Findings remained consistent across ACO program, contract risk levels, year of program entry, and overall ACO performance (eg, whether the ACO generated shared savings).\nCONCLUSIONS: Hospitals did not significantly alter care delivery for unplanned hospitalizations after joining an ACO. These findings suggest that hospital-led ACOs may have limited impact on reducing costs for emergent admissions, raising concerns about their ability to drive meaningful care transformation.",
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            "abstractNote": "BACKGROUND: Leaders of healthcare organizations are often called on to guide the implementation of new innovations, including evidence-based practices and digital health technologies. However, many leaders lack preparation for this role and most available leadership trainings have not been rigorously tested, particularly over periods incorporating multiple implementation phases.\nPURPOSE: This study tested the effects of the Leadership and Organizational Change for Implementation (LOCI) strategy on the uptake of digital measurement-based care (MBC) in mental health settings across 35 months, incorporating implementation and sustainment phases.\nMETHODS: In 21 outpatient mental health clinics serving youth, a two-arm, cluster randomized, hybrid type III effectiveness-implementation trial tested whether adding LOCI (k = 11) to standard digital MBC training and technical assistance (k = 10) improved uptake of digital MBC, assessed using system generated data and operationalized as clinic-level monthly counts of the number of youths with a measure administered and with feedback viewed by their clinician.\nRESULTS: On both outcomes, clinics randomized to LOCI exhibited superior initial uptake (3 months post-baseline: mean difference in youths with measure administered per clinic (MYMA_Diff=5.09, 95% CI=[1.63-8.55]); mean difference in youths with feedback viewed per clinic (MYFV_Diff=3.81 [1.26-6.37]), superior uptake when the implementation phase concluded (13 months post-baseline: MYMA_Diff=9.03, [1.64-16.41]; MYFV_Diff=8.31 [3.07-13.56]), and superior uptake when the sustainment phase concluded (35 months post-baseline: MYMA_Diff=3.82 [1.28-6.36]; MYFV_Diff=1.41 [0.22-2.60]).\nCONCLUSIONS: LOCI is an effective approach for training organizational leaders to support implementation of evidence-based digital health technologies in healthcare settings. Studies examining how policy-level variables interact with leadership training are needed.",
            "publicationTitle": "Translational Behavioral Medicine",
            "publisher": "",
            "place": "",
            "date": "2026-01-07",
            "volume": "16",
            "issue": "1",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "ibag007",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "Transl Behav Med",
            "DOI": "10.1093/tbm/ibag007",
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            "ISSN": "1613-9860",
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            "shortTitle": "Effects of a leadership-focused implementation strategy on uptake of digital measurement-based care in mental health clinics",
            "language": "eng",
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                    "tag": "Adolescent",
                    "type": 1
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            "title": "Evaluating prognostic performance for acute delta changes of high-sensitivity cardiac troponin T in emergency department patients",
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                    "creatorType": "author",
                    "firstName": "Fang",
                    "lastName": "Wu"
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                {
                    "creatorType": "author",
                    "firstName": "Tanzy",
                    "lastName": "Love"
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                    "creatorType": "author",
                    "firstName": "Xueya",
                    "lastName": "Cai"
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                    "lastName": "Mathias"
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                    "firstName": "Kent B.",
                    "lastName": "Lewandrowski"
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                    "firstName": "Li",
                    "lastName": "Liu"
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            "abstractNote": "OBJECTIVES: To evaluate the prognostic value of 0/1h and 0/3h high-sensitivity cardiac troponin T (hs-cTnT) delta values for 30-day and 1-year all-cause mortality among emergency department (ED) patients.\nMETHODS: This retrospective study included two study cohorts from two academic medical centers. Cohort 1 included 18,022 ED patients with hs-cTnT measured using 0/3h algorithm, and Cohort 2 included 5,003 ED patients with hs-cTnT tested using 0/1h algorithm. hs-cTnT deltas were stratified into four categories: <4, 4-7, 8-11, and ≥12 ng/L for 0/3h testing, and <3, 3-5, 6-8, and ≥9 ng/L for 0/1h testing. Kaplan-Meier analysis, multivariable Cox proportional hazard models, and multivariable logistic regression models were performed to assess the prognostic values of 1 h and 3 h delta hs-cTnT for mortality.\nRESULTS: 0/1h and 0/3h hs-cTnT deltas were significantly higher in patients who died within 30 days or 1 year compared with survivors. After adjustment for baseline hs-cTnT, age, sex, and eGFR, a 3 h delta ≥4 ng/L was associated with approximately 2-fold higher 30-day mortality and 1.6-fold higher 1-year mortality; ≥12 ng/L was associated with approximately 4-fold and 2-fold increases in mortality risk, respectively. The 1 h delta showed similar predictive performance. In continuous log2-transformed models, each doubling of delta hs-cTnT increased the 30-day and 1-year mortality by 22% and 11% in the 0/3h algorithm and by 14% and 10% in the 0/1h algorithm. Incorporating delta hs-cTnT into multivariable logistic models improves model performance, with higher AUCs and lower AICs than models with baseline hs-cTnT alone.\nCONCLUSIONS: Acute hs-cTnT delta changes provide strong and independent prognostic information for all-cause mortality in ED patients. Incorporating delta hs-cTnT into ED risk stratification may support early identification of high-risk patients.",
            "publicationTitle": "Clinical Biochemistry",
            "publisher": "",
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            "date": "2026-03",
            "volume": "142",
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            "pages": "111103",
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