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Management: Electronic Health Records (EHR)
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Total 7015 results found since Jan 2013.
Comparison of EHR data-completeness in patients with different types of medical insurance coverage in the United States
In this study, we compared EHR continuity in populations covered by Medicare, Medicaid, or commercial insurance. Using claims linked EHRs from a multi-center network in Massachusetts, including Medicare (MA EHR-Medicare cohort) and Medicaid (MA EHR-Medicaid cohort) claims data; and TriNetX (TriNetX cohort) claims linked EHR data from 11 US based healthcare organizations, we assessed (1) EHR-continuity quantified by proportion of encounters captured by EHR (capture proportion, CP); (2) area under receiver operating curve (AUROC) of previously validated model to identify patients with high EHR-continuity (CP>0.6); (3) mis...
Source: Clinical Pharmacology and Therapeutics - August 19, 2023 Category: Drugs & Pharmacology Authors: Priyanka Anand Yichi Zhang David Merola Yinzhu Jin Shirley V Wang Joyce Lii Jun Liu Kueiyu Joshua Lin Source Type: research
Medications and conditions associated with weight loss in patients prescribed semaglutide based on real-world data
CONCLUSIONS: Weight loss in patients prescribed semaglutide from real-world evidence was strong but attenuated compared with previous clinical trials. Machine-learning analysis of electronic health record data identified factors that warrant further research and consideration when tailoring weight-loss therapy.PMID:37593896 | DOI:10.1002/oby.23859
Source: Obesity - August 18, 2023 Category: Eating Disorders & Weight Management Authors: William Powell Xing Song Yahia Mohamed Dave Walsh Elizabeth J Parks Tamara M McMahon Mirza Khan Lemuel R Waitman Source Type: research
Sexual dimorphism in peripheral blood cell characteristics linked to recanalization success of endovascular thrombectomy in acute ischemic stroke
J Thromb Thrombolysis. 2023 Aug 18. doi: 10.1007/s11239-023-02881-z. Online ahead of print.ABSTRACTEndovascular thrombectomy (EVT) success to treat acute ischemic stroke varies with factors like stroke etiology and clot composition, which can differ between sexes. We studied if sex-specific blood cell characteristics (BCCs) are related to recanalization success. We analyzed electronic health records of 333 EVT patients from a single intervention center, and extracted 71 BCCs from the Sapphire flow cytometry analyzer. Through Sparse Partial Least Squares Discriminant Analysis, incorporating cross-validation and stability se...
Source: Atherosclerosis - August 18, 2023 Category: Cardiology Authors: L Malin Overmars Wouter W van Solinge Hester M den Ruijter H Bart van der Worp Bram Van Es Cornelia A R Hulsbergen-Veelken Geert Jan Biessels Lieza G Exalto Saskia Haitjema Source Type: research
Medications and conditions associated with weight loss in patients prescribed semaglutide based on real-world data
CONCLUSIONS: Weight loss in patients prescribed semaglutide from real-world evidence was strong but attenuated compared with previous clinical trials. Machine-learning analysis of electronic health record data identified factors that warrant further research and consideration when tailoring weight-loss therapy.PMID:37593896 | DOI:10.1002/oby.23859
Source: Obesity - August 18, 2023 Category: Eating Disorders & Weight Management Authors: William Powell Xing Song Yahia Mohamed Dave Walsh Elizabeth J Parks Tamara M McMahon Mirza Khan Lemuel R Waitman Source Type: research
Sexual dimorphism in peripheral blood cell characteristics linked to recanalization success of endovascular thrombectomy in acute ischemic stroke
J Thromb Thrombolysis. 2023 Aug 18. doi: 10.1007/s11239-023-02881-z. Online ahead of print.ABSTRACTEndovascular thrombectomy (EVT) success to treat acute ischemic stroke varies with factors like stroke etiology and clot composition, which can differ between sexes. We studied if sex-specific blood cell characteristics (BCCs) are related to recanalization success. We analyzed electronic health records of 333 EVT patients from a single intervention center, and extracted 71 BCCs from the Sapphire flow cytometry analyzer. Through Sparse Partial Least Squares Discriminant Analysis, incorporating cross-validation and stability se...
Source: Atherosclerosis - August 18, 2023 Category: Cardiology Authors: L Malin Overmars Wouter W van Solinge Hester M den Ruijter H Bart van der Worp Bram Van Es Cornelia A R Hulsbergen-Veelken Geert Jan Biessels Lieza G Exalto Saskia Haitjema Source Type: research
Development and Verification of Time-Series Deep Learning for Drug-Induced Liver Injury Detection in Patients Taking Angiotensin II Receptor Blockers: A Multicenter Distributed Research Network Approach
CONCLUSIONS: Implementing a multicenter-based timeseries classification model provided evidence that could be valuable to clinicians regarding temporal patterns associated with DILI in ARB users. This information supports informed decisions regarding appropriate drug use and treatment strategies.PMID:37591680 | DOI:10.4258/hir.2023.29.3.246
Source: Cancer Control - August 17, 2023 Category: Cancer & Oncology Authors: Suncheol Heo Jae Yong Yu Eun Ae Kang Hyunah Shin Kyeongmin Ryu Chungsoo Kim Yebin Chegal Hyojung Jung Suehyun Lee Rae Woong Park Kwangsoo Kim Yul Hwangbo Jae-Hyun Lee Yu Rang Park Source Type: research
Assessing the use of observational methods and real-world data to emulate ongoing randomized controlled trials
CONCLUSION: Despite challenges, observational methods and real-world data can be leveraged in certain important situations for a more timely evaluation of drug effectiveness and safety in more diverse and representative patient populations.PMID:37589143 | DOI:10.1177/17407745231193137
Source: Clinical Trials - August 17, 2023 Category: Research Authors: Joshua D Wallach Yihong Deng Eric C Polley Sanket S Dhruva Jeph Herrin Kenneth Quinto Charu Gandotra William Crown Peter Noseworthy Xiaoxi Yao Molly Moore Jeffery Timothy D Lyon Joseph S Ross Rozalina G McCoy Source Type: research
"Hi, How Can I Help You?" Embracing Artificial Intelligence in Kidney Research
Am J Physiol Renal Physiol. 2023 Aug 17. doi: 10.1152/ajprenal.00177.2023. Online ahead of print.ABSTRACTIn recent years, biology and precision medicine have benefited from the major advancements in generating large-scale molecular and biomedical datasets and in analyzing those data using advanced machine learning algorithms. Machine learning applications in kidney physiology and pathophysiology include segmenting kidney structures from imaging data and predicting conditions like acute kidney injury or chronic kidney disease using electronic health records. Despite the potential of machine learning to revolutionize nephrol...
Source: Am J Physiol Renal P... - August 17, 2023 Category: Urology & Nephrology Authors: Anita T Layton Source Type: research
Sustainability of an Operating Room to Pediatric Postanesthesia Care Unit Handoff Tool
CONCLUSIONS: Evidence-based practice for handoff communication supports the use of a team approach and standardized EHR handoff tools. The reintroduction of a standardized EHR handoff tool improved the completeness of information transfer, yet did not lead to widespread adoption nor improved user satisfaction. There is an ongoing need to identify adoptable and sustainable perioperative handoff methods.PMID:37589633 | DOI:10.1016/j.jopan.2022.12.006
Source: Journal of Perianesthesia Nursing - August 17, 2023 Category: Nursing Authors: Ashley Green Virginia C Simmons Brad M Taicher Julie A Thompson Brenda Manske Emily Funk Source Type: research
Assessing the use of observational methods and real-world data to emulate ongoing randomized controlled trials
CONCLUSION: Despite challenges, observational methods and real-world data can be leveraged in certain important situations for a more timely evaluation of drug effectiveness and safety in more diverse and representative patient populations.PMID:37589143 | DOI:10.1177/17407745231193137
Source: Clinical Trials - August 17, 2023 Category: Research Authors: Joshua D Wallach Yihong Deng Eric C Polley Sanket S Dhruva Jeph Herrin Kenneth Quinto Charu Gandotra William Crown Peter Noseworthy Xiaoxi Yao Molly Moore Jeffery Timothy D Lyon Joseph S Ross Rozalina G McCoy Source Type: research
"Hi, How Can I Help You?" Embracing Artificial Intelligence in Kidney Research
Am J Physiol Renal Physiol. 2023 Aug 17. doi: 10.1152/ajprenal.00177.2023. Online ahead of print.ABSTRACTIn recent years, biology and precision medicine have benefited from the major advancements in generating large-scale molecular and biomedical datasets and in analyzing those data using advanced machine learning algorithms. Machine learning applications in kidney physiology and pathophysiology include segmenting kidney structures from imaging data and predicting conditions like acute kidney injury or chronic kidney disease using electronic health records. Despite the potential of machine learning to revolutionize nephrol...
Source: Am J Physiol Renal P... - August 17, 2023 Category: Urology & Nephrology Authors: Anita T Layton Source Type: research
