• Filter By:
• Specialty
• Source
• Condition
• Cancer
• Infectious Disease
• Drug
• Training
• Management
• Procedure
• Therapy
• Vaccine
• Nutrition
• Country

Prediction of short-term atrial fibrillation risk using primary care electronic health records
Conclusions FIND-AF, a machine learning algorithm applicable at scale in routinely collected primary care data, identifies people at higher risk of short-term AF.
Source: Heart - June 26, 2023 Category: Cardiology Authors: Nadarajah, R., Wu, J., Hogg, D., Raveendra, K., Nakao, Y. M., Nakao, K., Arbel, R., Haim, M., Zahger, D., Parry, J., Bates, C., Cowan, C., Gale, C. P. Tags: Open access, Editor's choice Arrhythmias and sudden death Source Type: research

The Impact of Longitudinal Data-Completeness of Electronic Health Record Data on the Prediction Performance of Clinical Risk Scores
Clin Pharmacol Ther. 2023 Apr 7. doi: 10.1002/cpt.2901. Online ahead of print.ABSTRACTThe impact of electronic health record (EHR) discontinuity, i.e., receiving care outside of a given EHR system, on EHR-based risk prediction is unknown. We aimed to assess the impact of EHR-continuity on performance of clinical risk scores. The study cohort consisted of patients aged ≥65 years with ≥1 EHR encounter in the two networks in Massachusetts (MA, 2007/1/1-2017/12/31, internal training and validation dataset), and one network in North Carolina (NC, 2007/1/1-2016/12/31, external validation dataset) that were linked with Medica...
Source: Clinical Pharmacology and Therapeutics - April 7, 2023 Category: Drugs & Pharmacology Authors: Yinzhu Jin Janick G Weberpals Shirley V Wang Rishi J Desai David Merola Kueiyu Joshua Lin Source Type: research

A Real-World Exploration into Clinical Outcomes of Direct Oral Anticoagulant Dosing Regimens in Morbidly Obese Patients Using Data-Driven Approaches
ConclusionData-driven approaches can identify key factors associated with clinical outcomes following the dosing of DOACs in morbidly obese patients. This will help design further studies to explore well tolerated and effective DOAC doses for morbidly obese patients.
Source: American Journal of Cardiovascular Drugs - March 6, 2023 Category: Cardiology Source Type: research

IJERPH, Vol. 18, Pages 4054: Gender Inequalities in Diagnostic Inertia around the Three Most Prevalent Cardiovascular Risk Studies: Protocol for a Population-Based Cohort Study
This study will assess the gender-related differences in diagnostic inertia around the three most prevalent cardiovascular risk factors: dyslipidemia, arterial hypertension, and diabetes mellitus, and to evaluate the consequences on cardiovascular disease incidence. This is an epidemiological and cohort study. Eligible patients will be adults who presented to public primary health care centers in a Spanish region from 2008 to 2011, with hypertension, dyslipidemia, or/and diabetes and without cardiovascular disease. Participants’ electronic health records will be used to collect the study variables in a window of six mont...
Source: International Journal of Environmental Research and Public Health - April 12, 2021 Category: Environmental Health Authors: Carratala-Munuera Lopez-Pineda Orozco-Beltran Quesada Alfonso-Sanchez Pallar és-Carratalá Soriano-Maldonado Navarro-Perez Gil-Guillen Martin-Moreno Tags: Study Protocol Source Type: research

Successful Distancing: Telemedicine in Gastroenterology and Hepatology During the COVID-19 Pandemic
AbstractTelemedicine involves delivering healthcare and preventative care services to patients without the need for in-person encounters. Traditionally, telemedicine has been used for acute events (e.g., stroke, used to relay essential information to the emergency department) and chronic disease management (e.g., diabetes and chronic kidney disease management). Though the utilization of telemedicine in gastroenterology and hepatology has been modest at best, especially for inflammatory bowel diseases and chronic liver disease management, since the onset of coronavirus disease 2019 (COVID-19) pandemic, utilization of teleme...
Source: Digestive Diseases and Sciences - March 3, 2021 Category: Gastroenterology Source Type: research

Consider the Promises and Challenges of Medical Image Analyses Using Machine Learning
Medical imaging saves millions of lives each year, helping doctors detect and diagnose a wide range of diseases, from cancer and appendicitis to stroke and heart disease. Because non-invasive early disease detection saves so many lives, scientific investment continues to increase. Artifical intelligence (AI) has the potential to revolutionize the medical imaging industry by sifting through mountains of scans quickly and offering providers and patients with life-changing insights into a variety of diseases, injuries, and conditions that may be hard to detect without the supplemental technology. Images are the largest source...
Source: MDDI - June 2, 2020 Category: Medical Devices Authors: Partha S. Anbil and Michael T. Ricci Tags: Imaging Source Type: news

More Research Is Needed on Lifestyle Behaviors That Influence Progression of Parkinson's Disease
This article highlights some of these challenges in the design of lifestyle studies in PD, and suggests a more coordinated international effort is required, including ongoing longitudinal observational studies. In combination with pharmaceutical treatments, healthy lifestyle behaviors may slow the progression of PD, empower patients, and reduce disease burden. For optimal care of people with PD, it is important to close this gap in current knowledge and discover whether such associations exist. Introduction Parkinson's disease (PD) is an age-related complex progressive neurodegenerative disorder, with key p...
Source: Frontiers in Neurology - April 29, 2019 Category: Neurology Source Type: research

A Novel Deep Neural Network Model for Multi-Label Chronic Disease Prediction
Conclusions concludes this work along with future work. Dataset and Data Preprocessing In the work, we mainly focus on multiple chronic disease classification. It can be formulated into a multi-label classification problem. There are three common chronic diseases are selected from the physical examination records: hypertension (H), diabetes (D), and fatty liver (FL). In the experiments, the physical examination datasets are collected from a local medical center, which contain 110,300 physical examination records from about 80,000 anonymous patients (Li et al., 2017a,b). Sixty-two feature items are selected from over 100...
Source: Frontiers in Genetics - April 23, 2019 Category: Genetics & Stem Cells Source Type: research

Novel electronic health record (EHR) education intervention in large healthcare organization improves quality, efficiency, time, and impact on burnout
A novel approach to advanced electronic health record (EHR) skills training was developed in a large healthcare organization to improve high-quality EHR documentation, while reducing stressors linked to physician burnout. The 3-day intensive EHR education intervention covered best practices in EHR documentation and physician well-being. The specialty physician faculty used interactive teaching including demonstration, facilitation, and individual coaching. Laptops were provided for hands-on practice. Mixed-method evaluation included real-time feedback, daily surveys, and post-activity surveys to measure participant learni...
Source: Medicine - September 1, 2018 Category: Internal Medicine Tags: Research Article: Quality Improvement Study Source Type: research

Developing a New Score: How Machine Learning Improves Risk Prediction
Composite risk scores have been used for decades to identify disease risk and health status in the general population. However, current approaches often fail to identify people who would benefit from intervention or recommend unnecessary intervention. Machine learning promises to improve accuracy, ensuring targeted treatment for patients that need it and reducing unnecessary intervention. Framingham Risk Score, the gold standard for predicting the likelihood of heart disease, predicts hospitalizations with about 56% accuracy. It uses factors such as age, gender, smoking, cholesterol levels, and systolic blood pressure to...
Source: MDDI - November 17, 2017 Category: Medical Devices Authors: Heather R. Johnson Tags: R & D Source Type: news

Exit Strategy: Planning for the Unexpected Closure of Your Practice
Conclusion Once drafted, your plan should be regularly updated to reflect changes in your practice and the practices of the colleagues who have agreed to assist in an emergency. Remember to include contact information for others who may be able to assist your family and/or staff, such as your malpractice carrier and your business attorney. The plan need not be complex, but it must be documented and readily available to anyone who may need to implement it. Your patients, your staff, and your family will thank you for it.
Source: Innovations in Clinical Neuroscience - June 1, 2016 Category: Neuroscience Authors: ICN Online Editor Tags: Current Issue Practice Management Psychiatry Risk Management exit strategy office closing Source Type: research

How a public health solution is reducing hypertension disparities
Addressing health care disparities can help practices improve the health of patients in vulnerable at-risk populations. Learn how eight family medicine practices boosted hypertension control rates for diverse patients by more than 3 percentage points in just three months. A targeted pilot As part of the Million Hearts initiative, the Summit County Public Health department (SCPH) and several partners in Ohio launched a pilot project with several family medicine practices to help reduce hypertension rates among black men. In Ohio, 38.5 percent of black patients have a diagnosis of hypertension, compared to 33.7 percent...
Source: AMA Wire - February 16, 2016 Category: Journals (General) Authors: Lyndra Vassar Source Type: news

Medtech approvals: FDA releases August 2015 PMAs
The FDA today released its list of the pre-market approvals it granted for medical devices in August 2015: Summary of PMA Originals & Supplements Approved Originals: 2 Supplements: 70 Summary of PMA Originals Under Review Total Under Review: 57 Total Active: 28 Total On Hold: 29 Summary of PMA Supplements Under Review Total Under Review: 569 Total Active: 422 Total On Hold: 147 Summary of All PMA Submissions Originals: 5 Supplements: 90 Summary of PMA Supplement PMA Approval/Denial Decision Times Number of Approvals: 70 Number of Denials: 0 Average Days Fr Receipt to Decision (Total Time): 229.0 FDA Time: 130...
Source: Mass Device - October 23, 2015 Category: Medical Equipment Authors: Brad Perriello Tags: Food & Drug Administration (FDA) Pre-Market Approval (PMA) Regulatory/Compliance Source Type: news