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Management: Electronic Health Records (EHR)

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Total 33 results found since Jan 2013.

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

One-Third of COVID-19 Survivors May Develop a Neuropsychiatric Disorder Within Months of Infection
One-third of individuals diagnosed with COVID-19 developed a psychiatric or neurological problem within six months of their diagnosis, according to astudy published Tuesday inThe Lancet Psychiatry. The prevalence of a post-COVID neurologic or psychiatric diagnosis was even greater among individuals with severe illness who had required hospitalization.“Given the size of the pandemic and the chronicity of many of the diagnoses and their consequences (for example, dementia, stroke, and intracranial hemorrhage), substantial effects on health and social care systems are likely to occur,” wrote Maxime Taque, Ph.D., of the Un...
Source: Psychiatr News - April 7, 2021 Category: Psychiatry Tags: anxiety COVID-19 electronic health records hospitalizations mood disorders neuropsychiatric disorders The Lancet Psychiatry Source Type: research

Using electronic health records to develop and validate a machine-learning tool to predict type 2 diabetes outcomes: a study protocol
Introduction Type 2 diabetes mellitus (T2DM) is a major cause of blindness, kidney failure, myocardial infarction, stroke and lower limb amputation. We are still unable, however, to accurately predict or identify which patients are at a higher risk of deterioration. Most risk stratification tools do not account for novel factors such as sociodemographic determinants, self-management ability or access to healthcare. Additionally, most tools are based in clinical trials, with limited external generalisability. Objective The aim of this work is to design and validate a machine learning-based tool to identify patients with T2...
Source: BMJ Open - July 30, 2021 Category: General Medicine Authors: Neves, A. L., Pereira Rodrigues, P., Mulla, A., Glampson, B., Willis, T., Darzi, A., Mayer, E. Tags: Open access, Health informatics 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

How to prevent diabetes from sneaking up on your patients
An AMA Viewpoints post by AMA Board Chair Stephen R. Permut, MD A major health threat has been silently taking hold of 86 million Americans, with 90 percent of them unaware of it. A new public health campaign is about to change that—and you’re the key to helping these patients take their health back. A campaign to prevent type 2 diabetes If you’re not already talking to your patients about prediabetes and the risks associated with it, it’s time to start. People with prediabetes—more than 1 in 3 adults—are at higher risk of developing serious health problems such as type 2 diabetes, heart disease and s...
Source: AMA Wire - January 21, 2016 Category: Journals (General) Authors: Amy Farouk Source Type: news

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

Centaurs, Not Snake Oil
TheTechtour Healthtech Summit hosted by the International Venture Club in Lausanne is a dating event for European seed, start-up and growth companies looking for investment and for Venture capital and some Pharma/Medtech companies looking to invest. Doug Haggstrom went along to take the pulse of European digital health companies. These companies aren ’t specifically focused on Pharma as partners but it is worth paying attention to how digital health products and services are developing. Pharma developed tools and services will, after all, be compared to these companies in the marketplace and the discipline of proving sta...
Source: EyeForPharma - August 2, 2016 Category: Pharmaceuticals Authors: Tina Boggiano Douglas Haggstrom Source Type: news

Validity of Cardiovascular Data From Electronic Sources:The Multi-Ethnic Study of Atherosclerosis and HealthLNK.
Conclusions -These findings illustrate the limitations and strengths of electronic data repositories compared with information collected by traditional standardized epidemiologic approaches for the ascertainment of CVD risk factors and events. PMID: 28687707 [PubMed - as supplied by publisher]
Source: Circulation - July 7, 2017 Category: Cardiology Authors: Ahmad FS, Chan C, Rosenman MB, Post WS, Fort DG, Greenland P, Liu KJ, Kho A, Allen NB Tags: Circulation 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

Prediction of Incident Hypertension Within the Next Year: Prospective Study Using Statewide Electronic Health Records and Machine Learning
Conclusions: With statewide EHR datasets, our study prospectively validated an accurate 1-year risk prediction model for incident essential hypertension. Our real-time predictive analytic model has been deployed in the state of Maine, providing implications in interventions for hypertension and related diseases and hopefully enhancing hypertension care.
Source: Journal of Medical Internet Research - January 30, 2018 Category: General Medicine Authors: Chengyin Ye Tianyun Fu Shiying Hao Yan Zhang Oliver Wang Bo Jin Minjie Xia Modi Liu Xin Zhou Qian Wu Yanting Guo Chunqing Zhu Yu-Ming Li Devore S Culver Shaun T Alfreds Frank Stearns Karl G Sylvester Eric Widen Doff McElhinney Xuefeng Ling 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

Deep learning approach for diabetes prediction using PIMA Indian dataset
ConclusionThe outcome of the study confirms that DL provides the best results with the most promising extracted features. DL achieves the accuracy of 98.07% which can be used for further development of the automatic prognosis tool. The accuracy of the DL approach can further be enhanced by including the omics data for prediction of the onset of the disease.
Source: Journal of Diabetes and Metabolic Disorders - April 13, 2020 Category: Endocrinology 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

Multivariable Risk Prediction of Dysphagia in Hospitalized Patients Using Machine Learning.
CONCLUSION: The developed models outperformed previously published models predicting dysphagia. In future, an implementation in the clinical workflow is needed to determine the clinical benefit. PMID: 32578538 [PubMed - in process]
Source: Studies in Health Technology and Informatics - June 26, 2020 Category: Information Technology Tags: Stud Health Technol Inform Source Type: research

Electronic Medical Record Risk Modeling of Cardiovascular Outcomes Among Patients with Type 2 Diabetes
ConclusionsThe Ochsner model overestimated 5-year CHD risk, but had relatively higher calibration than the other models in CHD. Risk equations fitted for local populations improved cardiovascular risk stratification for patients with T2DM. Application of machine learning simplified the models compared to “generalized” risk equations.
Source: Diabetes Therapy - June 18, 2021 Category: Endocrinology Source Type: research