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Articles 1 - 7 of 7
Full-Text Articles in Medicine and Health Sciences
Machine Learning Approaches For Neurological Risk Stratification Within 6 Hours Of Cardiac Arrest, Richard R. Riker, Qingchu Jin, Hunter Williams, Teresa May, David Seder, Raimond L. Winslow
Machine Learning Approaches For Neurological Risk Stratification Within 6 Hours Of Cardiac Arrest, Richard R. Riker, Qingchu Jin, Hunter Williams, Teresa May, David Seder, Raimond L. Winslow
Costas T. Lambrew Research Retreat 2024
Background:
• Prognostication of neurological outcome should be delayed at least 72 hours after cardiac arrest. Early stratification of risk severity provides important information enabling improved medical decision making, research enrollment, and precision medicine approaches.
• We propose that electroencephalography (EEG)-derived indices are valid biomarkers of severity of neurological injury very early after cardiac arrest.
• This study was designed to assess the relative impact of early clinical data and processed EEG indices in the first 6 hours after recovery of spontaneous circulation (ROSC) after cardiac arrest.
A Continuous Objective Shivering Monitor During Targeted Temperature Management After Cardiac Arrest, Richard R. Riker, Erica Schlichting, David Seder, Mary Weatherbee, David J Gagnon, Teresa May
A Continuous Objective Shivering Monitor During Targeted Temperature Management After Cardiac Arrest, Richard R. Riker, Erica Schlichting, David Seder, Mary Weatherbee, David J Gagnon, Teresa May
Costas T. Lambrew Research Retreat 2024
Background:
• Shivering during targeted temperature management (TTM) after cardiac arrest is stressful and linked to cerebral metabolic crisis.
• Few publications report shivering incidence, timing, or severity during TTM, and shivering treatment recommendations conflict.
• To evaluate multimodal shivering assessments, we studied patients during TTM managed with surface cooling, moderate analgosedation, surface counterwarming, and intermittent neuromuscular blockade (NMB) and evaluated surface electromyographic (EMG) power in decibels using the Medtronic bispectral index (BIS) monitor.
Risky Business: Creating A Process To Review Accuracy Of American Society Of Anesthesia (Asa) Classification And To Improve Overall Quality Risk Adjustment Of Surgical Patients, Jane Kinney, Sonja Orff, Robyn Begin, Nicholas Flavin, Eira Hyrkas, Christopher Adams, Ian Neilson
Risky Business: Creating A Process To Review Accuracy Of American Society Of Anesthesia (Asa) Classification And To Improve Overall Quality Risk Adjustment Of Surgical Patients, Jane Kinney, Sonja Orff, Robyn Begin, Nicholas Flavin, Eira Hyrkas, Christopher Adams, Ian Neilson
Costas T. Lambrew Research Retreat 2024
Through interdisciplinary education and the creation of an audit process, we have observed a 30.6% reduction in the number of ASA assignment misclassifications.
The Association Of Season Of Surgery And Patient Reported Outcomes Following Total Hip Arthroplasty, Catherine M. Call, Andrew Lachance, Zachary Radford, Henry Stoddard, Callahan Sturgeon, George Babikian, Adam Rana, Brian J. Mcgrory
The Association Of Season Of Surgery And Patient Reported Outcomes Following Total Hip Arthroplasty, Catherine M. Call, Andrew Lachance, Zachary Radford, Henry Stoddard, Callahan Sturgeon, George Babikian, Adam Rana, Brian J. Mcgrory
Costas T. Lambrew Research Retreat 2024
Introduction
• Understanding the impact of situational variables on surgical recovery can improve outcomes in total hip arthroplasty (THA).
• Literature examining hospital outcomes by season remains inconclusive, with limited focus on patient experience.
• The aim of this study was to investigate if there were differences in hospital and patient-reported outcomes measures (PROMS) after THA depending on the season in an area with 4 distinct seasons.
Healthcare Enabled By Artificial Intelligence In Real-Time, Felistas Mazhude, Robert S. Kramer, Qingchu Jin, Paul Terwilliger, Alan Hicks, Tyler Kelting, Douglas Sawyer, Jaime Rabb
Healthcare Enabled By Artificial Intelligence In Real-Time, Felistas Mazhude, Robert S. Kramer, Qingchu Jin, Paul Terwilliger, Alan Hicks, Tyler Kelting, Douglas Sawyer, Jaime Rabb
Costas T. Lambrew Research Retreat 2024
INTRODUCTION: The HEART (Healthcare Enabled by Artificial Intelligence in Real-Time) Project pioneers developing real-time machine learning (ML) predictive analytics to address the need to improve outcomes during recovery from open heart surgery. Our broad objective is to enhance patient outcomes by developing, validating and deploying predictive algorithms into the hands of clinical teams as an early warning and guidance system, allowing care teams an opportunity to be proactive.
Increasing Equitable Access To Pediatric Specialty Care In Maine Through Implementation Of Econsults, David Ireland, Rachel Rockers, Sarah M. Gabrielson, Anya K. Cutler, Laura J. Faherty, Genevieve Whiting
Increasing Equitable Access To Pediatric Specialty Care In Maine Through Implementation Of Econsults, David Ireland, Rachel Rockers, Sarah M. Gabrielson, Anya K. Cutler, Laura J. Faherty, Genevieve Whiting
Costas T. Lambrew Research Retreat 2024
Introduction
•Barriers to accessing pediatric specialty care exist for many and are not experienced equally by all.
•eConsults are an asynchronous provider-provider referral modality to obtain low-barrier specialist input in place of some face-to-face (F2F) visits.
•We evaluated sociodemographic factors associated with referral to and receipt of specialist input before and after eConsult implementation at MaineHealth to examine equity implications.
Variations Exist In Hospital And Patient-Reported Outcomes Following Total Hip Arthroplasty According To Biological Sex, Catherine Call, Andrew Lachance, Thomas Zink, Henry Stoddard, Callahan Sturgeon, George Babikian, Adam Rana, Brian J. Mcgrory
Variations Exist In Hospital And Patient-Reported Outcomes Following Total Hip Arthroplasty According To Biological Sex, Catherine Call, Andrew Lachance, Thomas Zink, Henry Stoddard, Callahan Sturgeon, George Babikian, Adam Rana, Brian J. Mcgrory
Costas T. Lambrew Research Retreat 2024
Introduction
• The effect of biological sex on the outcomes of THA remains unclear.
• Average combined data may mask sex-related variation and obscure clinically relevant differences in outcomes.