Electronic Health Records (EHR) Research This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

The Impact of Palliative Care Consultation on Aggressive Medical Interventions in End-of-life Among Patients with Metastatic Breast Cancer: Insights from the U.S. National Patient Sample
CONCLUSION: While PCC can reduce end-of-life aggressive interventions, it was underutilized among patients with MBC in the end-of-life. A myriad of clinical and patient factors may still challenge timely consultation. We urge for future endeavors in developing strategies to remove barriers in the implementation, especially earlier in the disease course, to assure timely PC treatments and reduce discomfort amid aggressive interventions for MBC.PMID:38748597 | DOI:10.1177/08258597241253933 (Source: Journal of Palliative Care)
Source: Journal of Palliative Care - May 15, 2024 Category: Palliative Care Authors: Zidong Zhang Alexandria Lovell Divya S Subramaniam Leslie Hinyard Source Type: research

Genome-Wide Association Study of Treatment-Resistant Depression: Shared Biology With Metabolic Traits
CONCLUSIONS: This work provides support for the utility of estimation of disease probability for genomic investigation and provides insights into the genetic architecture and biology of TRD.PMID:38745458 | DOI:10.1176/appi.ajp.20230247 (Source: The American Journal of Psychiatry)
Source: The American Journal of Psychiatry - May 15, 2024 Category: Psychiatry Authors: JooEun Kang Victor M Castro Michael Ripperger Sanan Venkatesh David Burstein Richard Karlsson Linn ér Daniel B Rocha Yirui Hu Drew Wilimitis Theodore Morley Lide Han Rachel Youngjung Kim Yen-Chen Anne Feng Tian Ge Stephan Heckers Georgios Voloudakis Chri Source Type: research

Poetry and the Meaning of Care
Health care is becoming more and more distanced. Clinicians must overcome not just mountains of data, burdensome electronic health records, and ever-increasing numbers of machines that separate us from patients, but more recently also navigate telemedicine and AI-driven chatbots. Physician-writer Dr Abraham Verghese and others have lamented that consequently we rely less on the physical exam and the connection it fosters with patients, as echocardiography and CT scans impersonally scrutinize them instead. So, a poem like “Even Joy” is a welcome corrective, a poignant reminder of the value of simple human touch in medic...
Source: JAMA - Journal of the American Medical Association - May 15, 2024 Category: General Medicine Source Type: research

Sensors, Vol. 24, Pages 3140: ResNet1D-Based Personal Identification with Multi-Session Surface Electromyography for Electronic Health Record Integration
bum Pan Personal identification is an important aspect of managing electronic health records (EHRs), ensuring secure access to patient information, and maintaining patient privacy. Traditionally, biometric, signature, username/password, photo identity, etc., are employed for user authentication. However, these methods can be prone to security breaches, identity theft, and user inconvenience. The security of personal information is of paramount importance, particularly in the context of EHR. To address this, our study leverages ResNet1D, a deep learning architecture, to analyze surface electromyography (sEMG) signals fo...
Source: Sensors - May 15, 2024 Category: Biotechnology Authors: Raghavendra Ganiga Muralikrishna S. N. Wooyeol Choi Sungbum Pan Tags: Article Source Type: research

The association between population health management tools and clinician burnout in the United States VA primary care patient-centered medical home
Technological burden and medical complexity are significant drivers of clinician burnout. Electronic health record(EHR)-based population health management tools can be used to identify high-risk patient popula... (Source: BMC Family Practice)
Source: BMC Family Practice - May 15, 2024 Category: Primary Care Authors: Jane Wang, Lucinda Leung, Nicholas Jackson, Michael McClean, Danielle Rose, Martin L. Lee and Susan E. Stockdale Tags: Research Source Type: research

Quality of heart failure registration in primary care: observations from 1 million electronic health records in the Amsterdam Metropolitan Area
CONCLUSIONS: While there is improvement over time, there are still substantial levels of over- and underregistration of HF, emphasizing the need for cautious interpretation of ICPC-coded data. The findings contribute to the understanding of HF registration issues in primary care and provide insights for improving registration practices.PMID:38741552 | DOI:10.1515/dx-2024-0009 (Source: Atherosclerosis)
Source: Atherosclerosis - May 14, 2024 Category: Cardiology Authors: Lukas De Clercq Jelle C L Himmelreich Ralf E Harskamp Source Type: research

Sensors, Vol. 24, Pages 3129: ICT in Nursing and Patient Healthcare Management: Scoping Review and Case Studies
This article underscores how these technologies have enhanced the efficiency, accuracy, and accessibility of clinical information, contributing to improved patient care. ICT revolution has revitalized nursing care and patient management, improving the quality of care and patient satisfaction. This review and the accompanying case studies emphasize the ongoing potential of ICT in the healthcare sector and call for further research to maximize its benefits. (Source: Sensors)
Source: Sensors - May 14, 2024 Category: Biotechnology Authors: Sara Jayousi Chiara Barchielli Marco Alaimo Stefano Caputo Marzia Paffetti Paolo Zoppi Lorenzo Mucchi Tags: Review Source Type: research

Machine learning in cardiac surgery: a narrative review
CONCLUSIONS: Studies utilizing high volume, multidimensional data such as that derived from electronic health record (EHR) data appear to best demonstrate the advantages of ML methods. Models trained on post cardiac surgery intensive care unit data demonstrate excellent predictive performance and may provide greater clinical utility if incorporated as clinical decision support tools. Further development of ML models and their integration into EHR's may result in dynamic clinical decision support strategies capable of informing clinical care and improving outcomes in cardiac surgery.PMID:38738250 | PMC:PMC11087616 | DOI:10....
Source: Journal of Thoracic Disease - May 13, 2024 Category: Respiratory Medicine Authors: Travis J Miles Ravi K Ghanta Source Type: research

What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care
J Am Board Fam Med. 2024 Mar-Apr;37(2):332-345. doi: 10.3122/jabfm.2023.230219R1.ABSTRACTPrimary care physicians are likely both excited and apprehensive at the prospects for artificial intelligence (AI) and machine learning (ML). Complexity science may provide insight into which AI/ML applications will most likely affect primary care in the future. AI/ML has successfully diagnosed some diseases from digital images, helped with administrative tasks such as writing notes in the electronic record by converting voice to text, and organized information from multiple sources within a health care system. AI/ML has less successfu...
Source: Australian Family Physician - May 13, 2024 Category: Primary Care Authors: Richard A Young Carmel M Martin Joachim P Sturmberg Sally Hall Andrew Bazemore Ioannis A Kakadiaris Steven Lin Source Type: research

Individualized Dose-Response to Statins Associated with Cardiovascular Disease Outcomes
CONCLUSION: The class-wide association of ED50 and Emax with clinical outcomes indicates that these measures influence the risk for ASCVD events in patients on statins.PMID:38737008 | PMC:PMC11086740 | DOI:10.1016/j.jacadv.2024.100894 (Source: Adv Data)
Source: Adv Data - May 13, 2024 Category: Epidemiology Authors: Sachin K Aggarwal Lan Jiang Ge Liu Monika E Grabowska Henry H Ong Russell A Wilke QiPing Feng Wei-Qi Wei Source Type: research