Transvaginal Access: Current Experience and Potential Implications for Urologic Applications

2009 ◽  
Vol 23 (5) ◽  
pp. 753-757 ◽  
Author(s):  
Geoffrey N. Box ◽  
Marc Bessler ◽  
Ralph V. Clayman
Keyword(s):  
Transvaginal Access ◽  
Current Experience

Social Listening to Create Bespoke Customer Experiences: Best Practices for Hospitality Operators

2021 ◽  
pp. 193896552199308
Author(s):  
Kathryn A. LaTour ◽  
Ana Brant
Keyword(s):  
Social Media ◽  
Best Practices ◽  
Real Time ◽  
Brand Image ◽  
Customer Experience ◽  
Current Experience ◽  
Social Listening

Most hospitality operators use social media in their communications as a means to communicate brand image and provide information to customers. Our focus is on a two-way exchange whereby a customer’s social posting is reacted to in real-time by the provider to enhance the customer’s current experience. Using social media in this way is new, and the provider needs to carefully balance privacy and personalization. We describe the process by which the Dorchester Collection Customer Experience (CX) Team approached its social listening program and share lessons to identify best practices for hospitality operators wanting to delight their customers through insights gained from social listening.

scholarly journals Thoracic Point-of-Care Ultrasound: A SARS-CoV-2 Data Repository for Future Artificial Intelligence and Machine Learning

2021 ◽  
pp. 155335062110186
Author(s):  
Abdel-Moneim Mohamed Ali ◽  
Emran El-Alali ◽  
Adam S. Weltz ◽  
Scott T. Rehrig
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Point Of Care ◽  
Prognostic Indicators ◽  
Data Repository ◽  
Point Of Care Ultrasound ◽  
Ultrasound Images ◽  
Clinical Protocol ◽  
Improved Outcomes ◽  
Current Experience

Current experience suggests that artificial intelligence (AI) and machine learning (ML) may be useful in the management of hospitalized patients, including those with COVID-19. In light of the challenges faced with diagnostic and prognostic indicators in SARS-CoV-2 infection, our center has developed an international clinical protocol to collect standardized thoracic point of care ultrasound data in these patients for later AI/ML modeling. We surmise that in the future AI/ML may assist in the management of SARS-CoV-2 patients potentially leading to improved outcomes, and to that end, a corpus of curated ultrasound images and linked patient clinical metadata is an invaluable research resource.

scholarly journals Food for thought: the importance of nutritional well-being during COVID-19

2021 ◽  
pp. 1-6
Author(s):  
L. Burke-Furey ◽  
F. McNicholas
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Life Expectancy ◽  
Nutritional Status ◽  
Crucial Role ◽  
Well Being ◽  
Physical And Mental Health ◽  
Balanced Diet ◽  
Current Experience ◽  
Roll Out

Individuals with mental illness have poorer physical health, nutritional status, and lowered life expectancy. Optimising their physical and nutritional status has become an increasingly important therapeutic goal. Current experience with COVID-19 has further emphasised the susceptibility to physical illness and poorer outcomes amongst individuals with mental illness and those who are nutritionally compromised. Although life as we knew it has been suspended until the widespread roll-out of a vaccine, individuals can take immediate action to improve physical and mental health by attending to and optimising their nutritional well-being. Clinicians within mental health services have a crucial role to play in assisting such change, and reminding their patients of the importance of pursuing a healthy and balanced diet.

scholarly journals The Correlation of Communication Effectiveness and Patient Satisfaction

2021 ◽  
Vol 8 ◽  
pp. 237437352199883
Author(s):  
Yvonne Versluijs ◽  
Maartje Lemmers ◽  
Laura E. Brown ◽  
Amanda I. Gonzalez ◽  
Joost T. P. Kortlever ◽  
...  
Keyword(s):  
Pain Intensity ◽  
Patient Reported Outcome Measures ◽  
Cross Sectional Study ◽  
Patient Reported Outcome ◽  
Communication Effectiveness ◽  
Cross Sectional ◽  
Patient Reported ◽  
Ceiling Effects ◽  
As Relationship ◽  
Current Experience

This study assessed the correlation of 9 questions addressing communication effectiveness (the Communication Effectiveness Questionnaire [CEQ]) with other patient-reported experience measures (PREMs; satisfaction, perceived empathy) as well as patient-reported outcome measures (PROMs; pain intensity, activity tolerance) in patients with musculoskeletal illness or injury. In a cross-sectional study, 210 patients visiting an orthopedic surgeon completed the CEQ and measures of satisfaction with the visit, perceived empathy, pain intensity, and activity tolerance. We evaluated correlations between CEQ and other PREMs and CEQ and PROMs. We measured ceiling effects of the PREMs. Communication effectiveness correlated moderately with other PREMs such as satisfaction (ρ = 0.54; P < .001) and perceived empathy (ρ = 0.54; P < .001). Communication effectiveness did not correlate with PROMs: pain intensity (ρ = −0.01; P = .93) and activity tolerance (ρ = −0.05; P = .44). All of the experience measures have high ceiling effects: perceived empathy 37%, satisfaction 80%, and CEQ 46%. The observation of notable correlations of various PREMs, combined with their high ceiling effects, direct us to identify a likely common statistical construct (which we hypothesize as “relationship”) accounting for variation in PREMs, and then develop a PREM which measures that construct in a manner that results in a Gaussian distribution of scores. At least within the limitations of current experience measures, there seems to be no association between illness (PROMs) and experience (PREMs).

scholarly journals A Comprehensive Resiliency Framework: Theoretical Model, Treatment, and Evaluation

2021 ◽  
Vol 10 ◽  
pp. 216495612110003
Author(s):  
Elyse R Park ◽  
Christina M Luberto ◽  
Emma Chad-Friedman ◽  
Lara Traeger ◽  
Daniel L Hall ◽  
...  
Keyword(s):  
Theoretical Model ◽  
Internal Consistency ◽  
Adaptive Functioning ◽  
Internal Consistency Reliability ◽  
Treatment Model ◽  
Post Intervention ◽  
Resiliency Theory ◽  
Assessment Measure ◽  
Model Treatment ◽  
Current Experience

Background There is heterogeneity in conceptualizations of resiliency, and there is, to date, no established theoretically driven resiliency assessment measure that aligns with a targeted resiliency intervention. We operationalize resiliency as one’s ability to maintain adaptive functioning in response to the ongoing, chronic stress of daily living, and we use a novel resiliency measure that assesses the target components of an evidence based resiliency intervention. We present our resiliency theory, treatment model, and corresponding assessment measure (Current Experience Scale; CES). Methods To establish the psychometric properties of the CES, we report the factor structure and internal consistency reliability (N = 273). Among participants in our resiliency intervention (N = 151), we explored construct validity in terms of associations with theoretical model constructs, a validated resiliency measure, and sensitivity to change from before to after the intervention. Results Results indicated that a 23-item, 6-factor solution was a good fit to the data (RMSEA = .08, CFI = .97; TLI =.96) and internal consistency was good (α = .81 to .95). The CES showed correlations in the expected direction with resiliency model constructs (all p’s < .001) and significant post intervention improvements. Conclusion Our resiliency theory, treatment model, and outcome appear aligned; the CES demonstrated promise as a psychometrically sound outcome measure for our resiliency intervention and may be used in future longitudinal studies and resiliency building interventions to assess individuals’ resiliency to adapt to ongoing stress.

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