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  1. Article ; Online: From bedside-to-model: Designing clinical prediction rules for implementation.

    Haimovich, Adrian D / Deardorff, W James

    Journal of the American Geriatrics Society

    2024  

    Language English
    Publishing date 2024-04-10
    Publishing country United States
    Document type Editorial
    ZDB-ID 80363-7
    ISSN 1532-5415 ; 0002-8614
    ISSN (online) 1532-5415
    ISSN 0002-8614
    DOI 10.1111/jgs.18921
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Machine Learning in Emergency Medicine: Keys to Future Success.

    Taylor, R Andrew / Haimovich, Adrian D

    Academic emergency medicine : official journal of the Society for Academic Emergency Medicine

    2021  Volume 28, Issue 2, Page(s) 263–267

    MeSH term(s) Emergency Medicine ; Emergency Service, Hospital ; Forecasting ; Humans ; Machine Learning ; Prognosis
    Language English
    Publishing date 2021-01-02
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 1329813-6
    ISSN 1553-2712 ; 1069-6563
    ISSN (online) 1553-2712
    ISSN 1069-6563
    DOI 10.1111/acem.14189
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Advance Care Planning Billing Claims by Emergency Physicians.

    Haimovich, Adrian D / Burke, Ryan C / Gacioch, Brian Q / Ouchi, Kei / Granovsky, Michael / Burke, Laura G

    Annals of emergency medicine

    2023  Volume 82, Issue 4, Page(s) 527–529

    MeSH term(s) Humans ; Advance Care Planning ; Physicians
    Language English
    Publishing date 2023-06-20
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 603080-4
    ISSN 1097-6760 ; 0196-0644
    ISSN (online) 1097-6760
    ISSN 0196-0644
    DOI 10.1016/j.annemergmed.2023.05.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Automating risk stratification for geriatric syndromes in the emergency department.

    Haimovich, Adrian D / Shah, Manish N / Southerland, Lauren T / Hwang, Ula / Patterson, Brian W

    Journal of the American Geriatrics Society

    2023  Volume 72, Issue 1, Page(s) 258–267

    Abstract: Background: Geriatric emergency department (GED) guidelines endorse screening older patients for geriatric syndromes in the ED, but there have been significant barriers to widespread implementation. The majority of screening programs require engagement ... ...

    Abstract Background: Geriatric emergency department (GED) guidelines endorse screening older patients for geriatric syndromes in the ED, but there have been significant barriers to widespread implementation. The majority of screening programs require engagement of a clinician, nurse, or social worker, adding to already significant workloads at a time of record-breaking ED patient volumes, staff shortages, and hospital boarding crises. Automated, electronic health record (EHR)-embedded risk stratification approaches may be an alternate solution for extending the reach of the GED mission by directing human actions to a smaller subset of higher risk patients.
    Methods: We define the concept of automated risk stratification and screening using existing EHR data. We discuss progress made in three potential use cases in the ED: falls, cognitive impairment, and end-of-life and palliative care, emphasizing the importance of linking automated screening with systems of healthcare delivery.
    Results: Research progress and operational deployment vary by use case, ranging from deployed solutions in falls screening to algorithmic validation in cognitive impairment and end-of-life care.
    Conclusions: Automated risk stratification offers a potential solution to one of the most pressing problems in geriatric emergency care: identifying high-risk populations of older adults most appropriate for specific GED care. Future work is needed to realize the promise of improved care with less provider burden by creating tools suitable for widespread deployment as well as best practices for their implementation and governance.
    MeSH term(s) Humans ; Aged ; Emergency Service, Hospital ; Emergency Medical Services ; Delivery of Health Care ; Risk Factors ; Syndrome ; Risk Assessment
    Language English
    Publishing date 2023-10-09
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 80363-7
    ISSN 1532-5415 ; 0002-8614
    ISSN (online) 1532-5415
    ISSN 0002-8614
    DOI 10.1111/jgs.18594
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Automatable end-of-life screening for older adults in the emergency department using electronic health records.

    Haimovich, Adrian D / Xu, Wenxin / Wei, Andrew / Schonberg, Mara A / Hwang, Ula / Taylor, R Andrew

    Journal of the American Geriatrics Society

    2023  Volume 71, Issue 6, Page(s) 1829–1839

    Abstract: Background: Emergency department (ED) visits are common at the end-of-life, but the identification of patients with life-limiting illness remains a key challenge in providing timely and resource-sensitive advance care planning (ACP) and palliative care ... ...

    Abstract Background: Emergency department (ED) visits are common at the end-of-life, but the identification of patients with life-limiting illness remains a key challenge in providing timely and resource-sensitive advance care planning (ACP) and palliative care services. To date, there are no validated, automatable instruments for ED end-of-life screening. Here, we developed a novel electronic health record (EHR) prognostic model to screen older ED patients at high risk for 6-month mortality and compare its performance to validated comorbidity indices.
    Methods: This was a retrospective, observational cohort study of ED visits from adults aged ≥65 years who visited any of 9 EDs across a large regional health system between 2014 and 2019. Multivariable logistic regression that included clinical and demographic variables, vital signs, and laboratory data was used to develop a 6-month mortality predictive model-the Geriatric End-of-life Screening Tool (GEST) using five-fold cross-validation on data from 8 EDs. Performance was compared to the Charlson and Elixhauser comorbidity indices using area under the receiver-operating characteristic curve (AUROC), calibration, and decision curve analyses. Reproducibility was tested against data from the remaining independent ED within the health system. We then used GEST to investigate rates of ACP documentation availability and code status orders in the EHR across risk strata.
    Results: A total of 431,179 encounters by 123,128 adults were included in this study with a 6-month mortality rate of 12.2%. Charlson (AUROC (95% CI): 0.65 (0.64-0.69)) and Elixhauser indices (0.69 (0.68-0.70)) were outperformed by GEST (0.82 (0.82-0.83)). GEST displayed robust performance across demographic subgroups and in our independent validation site. Among patients with a greater than 30% mortality risk using GEST, only 5.0% had ACP documentation; 79.0% had a code status previously ordered, of which 70.7% were full code. In decision curve analysis, GEST provided greater net benefit than the Charlson and Elixhauser scores.
    Conclusions: Prognostic models using EHR data robustly identify high mortality risk older adults in the ED for whom code status, ACP, or palliative care interventions may be of benefit. Although all tested methods identified patients approaching the end-of-life, GEST was most performant. These tools may enable resource-sensitive end-of-life screening in the ED.
    MeSH term(s) Humans ; Aged ; Electronic Health Records ; Cohort Studies ; Reproducibility of Results ; Retrospective Studies ; Emergency Service, Hospital ; Death
    Language English
    Publishing date 2023-02-06
    Publishing country United States
    Document type Observational Study ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 80363-7
    ISSN 1532-5415 ; 0002-8614
    ISSN (online) 1532-5415
    ISSN 0002-8614
    DOI 10.1111/jgs.18262
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Risk factor identification and predictive models for central line requirements for patients on vasopressors.

    Haimovich, Adrian D / Jiang, Ruoyi / Taylor, Richard A / Belsky, Justin B

    Anaesthesia and intensive care

    2021  Volume 49, Issue 4, Page(s) 275–283

    Abstract: Vasopressors are ubiquitous in intensive care units. While central venous catheters are the preferred route of infusion, recent evidence suggests peripheral administration may be safe for short, single-agent courses. Here, we identify risk factors and ... ...

    Abstract Vasopressors are ubiquitous in intensive care units. While central venous catheters are the preferred route of infusion, recent evidence suggests peripheral administration may be safe for short, single-agent courses. Here, we identify risk factors and develop a predictive model for patient central venous catheter requirement using the Medical Information Mart for Intensive Care, a single-centre dataset of patients admitted to an intensive care unit between 2008 and 2019. Using prior literature, a composite endpoint of prolonged single-agent courses (>24 hours) or multi-agent courses of any duration was used to identify likely central venous catheter requirement. From a cohort of 69,619 intensive care unit stays, there were 17,053 vasopressor courses involving one or more vasopressors that met study inclusion criteria. In total, 3807 (22.3%) vasopressor courses involved a single vasopressor for less than six hours, 7952 (46.6%) courses for less than 24 hours and 5757 (33.8%) involved multiple vasopressors of any duration. Of these, 3047 (80.0%) less than six-hour and 6423 (80.8%) less than 24-hour single vasopressor courses used a central venous catheter. Logistic regression models identified associations between the composite endpoint and intubation (odds ratio (OR) 2.36, 95% confidence intervals (CI) 2.16 to 2.58), cardiac diagnosis (OR 0.72, CI 0.65 to 0.80), renal impairment (OR 1.61, CI 1.50 to 1.74), older age (OR 1.002, Cl 1.000 to 1.005) and vital signs in the hour before initiation (heart rate, OR 1.006, CI 1.003 to 1.009; oxygen saturation, OR 0.996, CI 0.993 to 0.999). A logistic regression model predicting the composite endpoint had an area under the receiver operating characteristic curve (standard deviation) of 0.747 (0.013) and an accuracy of 0.691 (0.012). This retrospective study reveals a high prevalence of short vasopressor courses in intensive care unit settings, a majority of which were administered using central venous catheters. We identify several important risk factors that may help guide clinicians deciding between peripheral and central venous catheter administration, and present a predictive model that may inform future prospective trials.
    MeSH term(s) Aged ; Catheterization, Central Venous/adverse effects ; Central Venous Catheters ; Humans ; Intensive Care Units ; Retrospective Studies ; Risk Factors ; Vasoconstrictor Agents
    Chemical Substances Vasoconstrictor Agents
    Language English
    Publishing date 2021-08-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 187524-3
    ISSN 1448-0271 ; 0310-057X
    ISSN (online) 1448-0271
    ISSN 0310-057X
    DOI 10.1177/0310057X211024258
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Disparities Associated With Electronic Behavioral Alerts for Safety and Violence Concerns in the Emergency Department.

    Haimovich, Adrian D / Taylor, R Andrew / Chang-Sing, Erika / Brashear, Taylor / Cramer, Laura D / Lopez, Kevin / Wong, Ambrose H

    Annals of emergency medicine

    2023  Volume 83, Issue 2, Page(s) 100–107

    Abstract: Study objective: Although electronic behavioral alerts are placed as an alert flag in the electronic health record to notify staff of previous behavioral and/or violent incidents in emergency departments (EDs), they have the potential to reinforce ... ...

    Abstract Study objective: Although electronic behavioral alerts are placed as an alert flag in the electronic health record to notify staff of previous behavioral and/or violent incidents in emergency departments (EDs), they have the potential to reinforce negative perceptions of patients and contribute to bias. We provide characterization of ED electronic behavioral alerts using electronic health record data across a large, regional health care system.
    Methods: We conducted a retrospective cross-sectional study of adult patients presenting to 10 adult EDs within a Northeastern United States health care system from 2013 to 2022. Electronic behavioral alerts were manually screened for safety concerns and then categorized by the type of concern. In our patient-level analyses, we included patient data at the time of the first ED visit where an electronic behavioral alert was triggered or, if a patient had no electronic behavioral alerts, the earliest visit in the study period. We performed a mixed-effects regression analysis to identify patient-level risk factors associated with safety-related electronic behavioral alert deployment.
    Results: Of the 2,932,870 ED visits, 6,775 (0.2%) had associated electronic behavioral alerts across 789 unique patients and 1,364 unique electronic behavioral alerts. Of the encounters with electronic behavioral alerts, 5,945 (88%) were adjudicated as having a safety concern involving 653 patients. In our patient-level analysis, the median age for patients with safety-related electronic behavioral alerts was 44 years (interquartile range 33 to 55 years), 66% were men, and 37% were Black. Visits with safety-related electronic behavioral alerts had higher rates of discontinuance of care (7.8% vs 1.5% with no alert; P<.001) as defined by the patient-directed discharge, left-without-being-seen, or elopement-type dispositions. The most common topics in the electronic behavioral alerts were physical (41%) or verbal (36%) incidents with staff or other patients. In the mixed-effects logistic analysis, Black non-Hispanic patients (vs White non-Hispanic patients: adjusted odds ratio 2.60; 95% confidence interval [CI] 2.13 to 3.17), aged younger than 45 (vs aged 45-64 years: adjusted odds ratio 1.41; 95% CI 1.17 to 1.70), male (vs female: adjusted odds ratio 2.09; 95% CI 1.76 to 2.49), and publicly insured patients (Medicaid: adjusted odds ratio 6.18; 95% CI 4.58 to 8.36; Medicare: adjusted odds ratio 5.63; 95% CI 3.96 to 8.00 vs commercial) were associated with a higher risk of a patient having at least 1 safety-related electronic behavioral alert deployment during the study period.
    Conclusion: In our analysis, younger, Black non-Hispanic, publicly insured, and male patients were at a higher risk of having an ED electronic behavioral alert. Although our study is not designed to reflect causality, electronic behavioral alerts may disproportionately affect care delivery and medical decisions for historically marginalized populations presenting to the ED, contribute to structural racism, and perpetuate systemic inequities.
    MeSH term(s) Adult ; Humans ; Aged ; Male ; Female ; United States ; Middle Aged ; Retrospective Studies ; Medicare ; Cross-Sectional Studies ; Emergency Service, Hospital ; Violence
    Language English
    Publishing date 2023-06-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 603080-4
    ISSN 1097-6760 ; 0196-0644
    ISSN (online) 1097-6760
    ISSN 0196-0644
    DOI 10.1016/j.annemergmed.2023.04.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Patterns of Care Partner Communication for Persons Living with Dementia in the Emergency Department.

    Haimovich, Adrian D / Gilson, Aidan / Gao, Evangeline / Chi, Ling / Gettel, Cameron J / Schonberg, Mara / Hwang, Ula / Taylor, Richard Andrew

    Journal of geriatric emergency medicine

    2023  Volume 3, Issue 4

    Abstract: Introduction: Nearly half of all persons living with dementia (PLwD) will visit the emergency department (ED) in any given year and ED visits by PLwD are associated with short-term adverse outcomes. Care partner engagement is critical in the care of ... ...

    Abstract Introduction: Nearly half of all persons living with dementia (PLwD) will visit the emergency department (ED) in any given year and ED visits by PLwD are associated with short-term adverse outcomes. Care partner engagement is critical in the care of PLwD, but little is known about their patterns of communication with ED clinicians.
    Methods: We performed a retrospective electronic health record (EHR) review of a random sampling of patients ≥ 65 years with a historical diagnosis code of dementia who visited an ED within a large regional health network between 1/2014 and 1/2022. ED notes within the EHRs were coded for documentation of care partner communication and presence of a care partner in the ED. Logistic regression was used to identify patient characteristics associated with the composite outcome of either care partner communication or care partner presence in the ED.
    Results: A total of 460 patients were included. The median age was 83.0 years, 59.3% were female, 11.3% were Black, and 7.6% Hispanic. A care partner was documented in the ED for 22.4% of the visits and care partner communication documented for 43.9% of visits. 54.8% of patients had no documentation of care partner communication nor evidence of a care partner at the bedside. In multivariate logistic regression, increasing age (OR, (95% CI): 1.06 (1.04-1.09)), altered mental status (OR: 2.26 (1.01-5.05)), and weakness (OR: 3.38 (1.49-7.65)) significantly increased the probability of having care partner communication documented or a care partner at the bedside.
    Conclusion: More than half of PLwD in our sample did not have clinician documentation of communication with a care partner or a care partner in the ED. Further studies are needed to use these insights to improve communication with care partners of PLwD in the ED.
    Language English
    Publishing date 2023-11-22
    Publishing country United States
    Document type Journal Article
    ISSN 2694-4715
    ISSN (online) 2694-4715
    DOI 10.17294/2694-4715.1043
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Performance of Temporal Artery Temperature Measurement in Ruling Out Fever: Implications for COVID-19 Screening.

    Haimovich, Adrian D / Taylor, R Andrew / Krumholz, Harlan M / Venkatesh, Arjun K

    Journal of general internal medicine

    2020  Volume 35, Issue 11, Page(s) 3398–3400

    MeSH term(s) Body Temperature ; COVID-19 ; Humans ; ROC Curve ; SARS-CoV-2 ; Sensitivity and Specificity ; Temporal Arteries ; Thermometers/standards
    Keywords covid19
    Language English
    Publishing date 2020-09-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 639008-0
    ISSN 1525-1497 ; 0884-8734
    ISSN (online) 1525-1497
    ISSN 0884-8734
    DOI 10.1007/s11606-020-06205-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: US-Pro: An Application Enabling Efficient, High-Throughput Ultrasound Video Processing.

    Haimovich, Adrian D / Lehmann, Zachary / Taylor, R Andrew

    Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine

    2019  Volume 38, Issue 10, Page(s) 2761–2767

    Abstract: We describe a new graphical user interface-based application, US-Pro, designed to enable customized, high-throughput ultrasound video anonymization and dynamic cropping before output to video or high-efficiency disk storage. This application is ... ...

    Abstract We describe a new graphical user interface-based application, US-Pro, designed to enable customized, high-throughput ultrasound video anonymization and dynamic cropping before output to video or high-efficiency disk storage. This application is distributed in a Docker container environment, which supports facile software installation on the most commonly used operating systems, as well as local processing of data sets, precluding the external transfer of electronic protected health information. The US-Pro application will facilitate the reproducible production of large-scale ultrasound video data sets for varied applications, including machine-learning analysis, educational distribution, and quality assurance review.
    MeSH term(s) Humans ; Image Processing, Computer-Assisted/methods ; Ultrasonography/methods ; User-Computer Interface
    Language English
    Publishing date 2019-02-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 604829-8
    ISSN 1550-9613 ; 0278-4297
    ISSN (online) 1550-9613
    ISSN 0278-4297
    DOI 10.1002/jum.14951
    Database MEDical Literature Analysis and Retrieval System OnLINE

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