scholarly journals Data Day to Day: building a community of expertise to address data skills gaps in an academic medical center

2017 ◽  
Vol 105 (2) ◽  
Author(s):  
Alisa Surkis, PhD, MLS ◽  
Fred Willie Zametkin LaPolla, MLS ◽  
Nicole Contaxis, MLIS ◽  
Kevin B. Read, MLIS, MAS
Keyword(s):  
New York ◽  
Medical Center ◽  
Academic Medical Center ◽  
Library Services ◽  
New York University ◽  
Data Services ◽  
Academic Medical ◽  
Address Data ◽  
High Turnout ◽  
Subject Areas

Background: The New York University Health Sciences Library data services team had developed educational material for research data management and data visualization and had been offering classes at the request of departments, research groups, and training programs, but many members of the medical center were unaware of these library data services. There were also indications of data skills gaps in these subject areas and other data-related topics.Case Presentation: The data services team enlisted instructors from across the medical center with data expertise to teach in a series of classes hosted by the library. We hosted eight classes branded as a series called “Data Day to Day.” Seven instructors from four units in the medical center, including the library, taught the classes. A multipronged outreach approach resulted in high turnout. Evaluations indicated that attendees were very satisfied with the instruction, would use the skills learned, and were interested in future classes.Conclusions: Data Day to Day met previously unaddressed data skills gaps. Collaborating with outside instructors allowed the library to serve as a hub for a broad range of data instruction and to raise awareness of library services. We plan to offer the series three times in the coming year with an expanding roster of classes.

scholarly journals Early Results from Severe Acute Respiratory Syndrome Coronavirus 2 Polymerase Chain Reaction Testing of Healthcare Workers at an Academic Medical Center in New York City

2020 ◽  
Author(s):  
Arielle R Nagler ◽  
Eric R Goldberg ◽  
Maria E Aguero-Rosenfeld ◽  
Joan Cangiarella ◽  
Gary Kalkut ◽  
...  
Keyword(s):  
New York ◽  
Polymerase Chain Reaction ◽  
Medical Center ◽  
Academic Medical Center ◽  
New York University ◽  
Chain Reaction ◽  
Early Results ◽  
Academic Medical ◽  
Returning To Work ◽  
Polymerase Chain

Abstract Coronavirus disease 2019 (COVID-19) reverse-transcription polymerase chain reaction employee testing was implemented across New York University Langone Health. Over 8 weeks, 14 764 employees were tested; 33% of symptomatic employees, 8% of asymptomatic employees reporting COVID-19 exposure, and 3% of employees returning to work were positive. Positivity rates declined over time, possibly reflecting the importance of community transmission and efficacy of personal protective equipment.

scholarly journals Clinical Impact of Rapid Molecular Diagnosis of Bloodstream Infections at an Academic Medical Center in New York City

2016 ◽  
Vol 3 (suppl_1) ◽  
Author(s):  
Matthew S. Simon ◽  
Angela Loo ◽  
Michael Satlin ◽  
Harjot Singh ◽  
Christina Chai ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Molecular Diagnosis ◽  
York City ◽  
Medical Center ◽  
Academic Medical Center ◽  
Bloodstream Infections ◽  
Clinical Impact ◽  
Academic Medical

scholarly journals COVID-19 Related Deaths in an Urban Academic Medical Center in Brooklyn – A Descriptive Case Series

2020 ◽  
Author(s):  
James Andrew McCracken ◽  
Mohamed Nakeshbandi ◽  
Jeffrey Arace ◽  
Wayne J Riley ◽  
Roopali Sharma
Keyword(s):  
New York ◽  
Medical Center ◽  
Academic Medical Center ◽  
Case Series ◽  
Retrospective Chart Review ◽  
Black Population ◽  
International Travel ◽  
Normal Limits ◽  
Academic Medical ◽  
Patients At Risk

Abstract Background Available studies are lacking in analysis of baseline demographics and hospital presentation of patients at risk of expiring due to coronavirus disease 2019 (COVID-19), particularly Black American patients. We conducted a retrospective chart review to determine similarities in demographics and hospital presentation among patients who expired due to COVID-19 at an academic medical center in Brooklyn, New York.Study design and methods This is a retrospective observational study of 200 patients who expired due to complications of COVID-19. Patients were included in this study if they had laboratory-confirmed SARS-CoV-2 infection and expired during their admission. Data were collected on patients who expired between March 17 and April 16, 2020. Results A vast majority of patients were Black Americans (89%) with no history of international travel who had more than one comorbidity (81%), with the most common comorbidities being hypertension (84·5%), diabetes mellitus (57·5%), and obesity (41·5%). Fifty-five percent of our patient population had three or more comorbidities. Among patients with available data, C-reactive protein, lactate dehydrogenase, and ferritin values were elevated above normal limits at admission. Dyspnea was the most common presenting symptom (92·5%). Most (90·5%) presented within the first week of symptoms, with a median time of symptoms prior to expiration being 8·42 days (IQR 5·57 – 12·72). Interpretation Socioeconomic status and healthcare inequalities have greatly affected the Black population of Brooklyn, New York, and these disparities become even more apparent in COVID-19 infection. Patients presenting with numerous comorbidities and elevated inflammatory markers represent a population at high risk of in-hospital mortality.

Bereavement: Caring for Families and Friends after a Patient Dies

2013 ◽  
Vol 67 (1-2) ◽  
pp. 121-126 ◽  
Author(s):  
Dory Hottensen
Keyword(s):  
New York ◽  
Support Groups ◽  
Medical Center ◽  
Academic Medical Center ◽  
Individual Counseling ◽  
Bereavement Support ◽  
Grieving Process ◽  
Phone Calls ◽  
Academic Medical

New York-Presbyterian Hospital/Weill Cornell Medical Center is a large academic medical center that provided minimal, if any, bereavement support to families and loved ones of patients who died in the hospital. A comprehensive bereavement program was developed and implemented which included sending condolence cards to family members and friends, follow-up phone calls to screen for complicated grief, individual counseling, bereavement support groups, community referrals, and an annual memorial service for families and staff to provide an opportunity for shared mourning during the grieving process.

scholarly journals Relationship-Centered Care in a Novel Dual-Visit Model COVID Nursery Follow-Up Clinic

2020 ◽  
Vol 7 (6) ◽  
pp. 998-1001
Author(s):  
Minna Saslaw ◽  
Melissa E Glassman ◽  
M Kathleen Keown ◽  
Jordan Orange ◽  
Melissa S Stockwell
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Medical Center ◽  
Academic Medical Center ◽  
Academic Medical ◽  
Centered Care ◽  
To Come ◽  
Relationship Centered

The COVID Nursery Follow-Up Clinic at our academic medical center in New York City was established during the COVID-19 pandemic to provide care to infants born to SARS-CoV-2 positive mothers. We describe a novel dual-visit model utilizing telehealth and an in-person visit to provide timely, inclusive and relationship-centered care to the mother/infant couplet in a situation where the mother was unable to come to a traditional in-person visit, but the infant needed medically necessary in-person evaluation.

“Virtual work-after-work”: the impact of telemedicine on physicians’ after-hours EHR work during the COVID-19 pandemic (Preprint)

2021 ◽  
Author(s):  
Katharine Lawrence ◽  
Oded Nov ◽  
Devin Mann ◽  
Kanan Shah ◽  
Eduardo Iturrate ◽  
...  
Keyword(s):  
New York ◽  
Virtual Work ◽  
Medical Center ◽  
Academic Medical Center ◽  
Academic Medical ◽  
Healthcare Work ◽  
After Hours ◽  
The Impact ◽  
Load Patient ◽  
Load Average

BACKGROUND Telemedicine as a mode of healthcare work has grown dramatically during the COVID-19 pandemic; the impact of this transition on clinicians’ after-hours EHR-based clinical and administrative work is unclear. OBJECTIVE This study assesses the impact of the transition to telemedicine work during the COVID-19 pandemic on physicians’ EHR-based after-hours workload (“work-after-work”) at a large academic medical center in New York City. METHODS We conducted an EHR-based retrospective cohort study of ambulatory care physicians providing telemedicine services during the pre-pandemic, acute pandemic, and post-acute pandemic periods, relating EHR-based work after work to telemedicine intensity (percentage of care provided via telemedicine), and clinical load (patient load per provider). RESULTS 2,129 physicians were included in this study. During the acute pandemic, the volume of care provided via telemedicine significantly increased across all physicians, while patient volume decreased. When normalizing for clinical load (average appointments per day by average clinical days per week), telemedicine intensity was positively associated with work-after-work across time periods. This association was strongest in the post-acute period. CONCLUSIONS Taking physicians’ clinical load into account, physicians who devoted a higher proportion of their clinical time to telemedicine throughout the various stages of the pandemic engaged in higher levels of EHR-based after-hours than those who used telemedicine less intensively. This suggests that telemedicine may not be inherently more efficient than in-person-based care, and may not reduce the after-hours work burden of physicians. CLINICALTRIAL N/a

scholarly journals COVID-19 related deaths in an urban academic medical center in Brooklyn – A descriptive case series

2020 ◽  
Author(s):  
James Andrew McCracken ◽  
Mohamed Nakeshbandi ◽  
Jeffrey Arace ◽  
Wayne J Riley ◽  
Roopali Sharma
Keyword(s):  
New York ◽  
Medical Center ◽  
Academic Medical Center ◽  
Case Series ◽  
Retrospective Chart Review ◽  
Black Population ◽  
International Travel ◽  
Normal Limits ◽  
Academic Medical ◽  
Patients At Risk

Abstract Background Available studies are lacking in analysis of baseline demographics and hospital presentation of patients at risk of expiring due to coronavirus disease 2019 (COVID-19), particularly Black American patients. We conducted a retrospective chart review to determine similarities in demographics and hospital presentation among patients who expired due to COVID-19 at an academic medical center in Brooklyn, New York. Study design and methods This is a retrospective observational study of 200 patients who expired due to complications of COVID-19. Patients were included in this study if they had laboratory-confirmed SARS-CoV-2 infection and expired during their admission. Data were collected on patients who expired between March 17 and April 16, 2020. Results A vast majority of patients were Black Americans (89%) with no history of international travel who had more than one comorbidity (81%), with the most common comorbidities being hypertension (84·5%), diabetes mellitus (57·5%), and obesity (41·5%). Fifty-five percent of our patient population had three or more comorbidities. Among patients with available data, C-reactive protein, lactate dehydrogenase, and ferritin values were elevated above normal limits at admission. Dyspnea was the most common presenting symptom (92·5%). Most (90·5%) presented within the first week of symptoms, with a median time of symptoms prior to expiration being 8·42 days (IQR 5·57 – 12·72). Interpretation Socioeconomic status and healthcare inequalities have greatly affected the Black population of Brooklyn, New York, and these disparities become even more apparent in COVID-19 infection. Patients presenting with numerous comorbidities and elevated inflammatory markers represent a population at high risk of in-hospital mortality.

Gender differences in career progress and satisfaction in an academic medical center

2002 ◽  
Vol 2 (3) ◽  
pp. 95-104 ◽  
Author(s):  
JoAnn Manson ◽  
Beverly Rockhill ◽  
Margery Resnick ◽  
Eleanor Shore ◽  
Carol Nadelson ◽  
...  
Keyword(s):  
Gender Differences ◽  
Medical Center ◽  
Academic Medical Center ◽  
Academic Medical ◽  
Career Progress
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