danhon + tealphoenix   29

Prevalence of unknown atrial fibrillation in patients with risk factors. - PubMed - NCBI
AIMS: Atrial fibrillation (AF) is the most common cardiac arrhythmia. 'Silent', undiagnosed AF is often only detected with the first complication, e.g. a stroke. Detection of 'silent' AF prior to the first cerebrovascular event would be valuable to institute adequate therapy and prevent complications related to AF. We performed a simple electrocardiography (ECG) screening for silent AF in patients at risk for AF.
january 2019 by danhon
Subclinical atrial fibrillation and the risk of stroke. - PubMed - NCBI
One quarter of strokes are of unknown cause, and subclinical atrial fibrillation may be a common etiologic factor.
january 2019 by danhon
Atrial fibrillation and silent stroke: links, risks, and challenges
AF often occurs with no or only few symptoms and is therefore often undiagnosed or only diagnosed when complications like stroke or heart failure occur.5,12
january 2019 by danhon
Health Data Rush – Data & Society: Points
"Health Data Rush -Hard questions in the rush to regulate precision medicine"
tealphoenix  ethics  medicine  fairness  research  dataandsociety  KadijaFerryman 
january 2019 by danhon
Mobile technology and the digitization of healthcare | European Heart Journal | Oxford Academic
"The convergence of science and technology in our dynamic digital era has resulted in the development of innovative digital health devices that allow easy and accurate characterization in health and disease. Technological advancements and the miniaturization of diagnostic instruments to modern smartphone-connected and mobile health (mHealth) devices such as the iECG, handheld ultrasound, and lab-on-a-chip technologies have led to increasing enthusiasm for patient care with promises to decrease healthcare costs and to improve outcomes. This ‘hype’ for mHealth has recently intersected with the ‘real world’ and is providing important insights into how patients and practitioners are utilizing digital health technologies. It is also raising important questions regarding the evidence supporting widespread device use. In this state-of-the-art review, we assess the current literature of mHealth and aim to provide a framework for the advances in mHealth by understanding the various device, patient, and clinical factors as they relate to digital health from device designs and patient engagement, to clinical workflow and device regulation. We also outline new strategies for generation and analysis of mHealth data at the individual and population-based levels."
tealphoenix  mhealth  healthcare  digital 
january 2019 by danhon
Predicting chronic comorbid conditions of type 2 diabetes in Newly-Diagnosed Diabetic Patients - Value in Health
"Our cohort includes 4.1million insurance beneficiaries of age≥18yrs between 2005 and 2013. Of these subjects, 34,411 patients were newly-diagnosed with T2D, had continuous enrollment for 6months pre- and 5years post-onset, and did not have the comorbid condition diagnosis before T2D. We developed a prediction model for each condition based on L1-regularization method, which selects few(less than 350 per condition) relevant risk factors from approximately 27K general variables derived from claims data. We defined comorbid conditions based on the validated diabetes complications severity index."
tealphoenix  prediction  modeling  healthcare  diabetes 
january 2019 by danhon
Guidelines for reinforcement learning in healthcare | Nature Medicine
"In this Comment, we provide guidelines for reinforcement learning for decisions about patient treatment that we hope will accelerate the rate at which observational cohorts can inform healthcare practice in a safe, risk-conscious manner." - wish I were in a library rn
tealphoenix  reinforcementlearning  healthcare  medicine  guidelines  ethics  naturemedicine 
january 2019 by danhon
Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram | Nature Medicine
"Application of AI to the ECG—a ubiquitous, low-cost test—permits the ECG to serve as a powerful screening tool in asymptomatic individuals to identify ALVD."
nature  tealphoenix  ecg  screening 
january 2019 by danhon
Nature Medicine - Digital Medicine
"As Nature Medicine celebrates its 25th anniversary, we bring you a special Focus on Digital Medicine that highlights the new technologies transforming medicine and healthcare, as well as the related regulatory challenges ahead." wow there is a lot here
tealphoenix  nature  digitalmedicine  deeplearning  ai  reinforcementlearning 
january 2019 by danhon
AliveCor: Most Innovative Company | Fast Company
“At core,” says CEO Vic Gundotra, “we are an AI company disguised as a medical device company.” - not bad
alivecor  ai  deeplearning  information  diagnosis  tealphoenix 
december 2018 by danhon
A New View on Wearable Fitness Trackers: Finding Motivating Factors Behind Fitness, Fashion & Technology — USC Center for Body Computing
"VSP Global, the only national not-for-profit vision benefits company that provides access to eye care for its 88 million members around the world through a network of 39,000 eye doctors. Through its innovation lab, The Shop, VSP had developed one of the first “smart glasses”—a category of fitness tracker wearables that Juniper Research identified as the highest growth sector for consumer wearables. Called Level TM , the smart glasses are accompanied by a smartphone app that tracks the wearer’s daily steps, calories, distance and overall activity time. As users reach daily step goals they receive points redeemable for the donation of a free eye exam and pair of glasses to someone in need through VSP’s Eyes of Hope initiatives." - just because you can turn something into an activity tracker doesn't mean it's a good idea to turn something into an activity tracker.
activitytracking  vsp  level  usc  cbc  fitness  tracker  tealphoenix 
december 2018 by danhon
Level Smart Glasses | Expect More from Your Eyewear
I had no idea that there were activity tracking *glasses* and that they're made by VSP, a vision insurance provider?
level  smartglasses  activitytracking  tealphoenix  usc  vsp 
december 2018 by danhon
Leslie Saxon, M.D. — USC Center for Body Computing
"Dr. Saxon participates in the pre-clinical and clinical  development and testing of wearable and implanted technology, including networked devices used in medicine, wellness, and performance. She has active research with programs involving connected sensors with elite athletes, military groups and patients. Her work is dedicated to providing users with continuous and protected information about their health or performance status. . With  her clinical  expertise, she  is a valuable strategist in developing device models and software solutions that offer engaging user-feedback based on real-time physiologic data."
usc  tealphoenix  cardiology  cardiologist  lesliesaxon  wearables  tealp 
december 2018 by danhon
Measurement of Hemoglobin A1c
"The commercialization of HbA1c assays led to the development of a plethora of methods to measure glycated hemoglobin. The general concept underlying these methods is to separate the glycated from the nonglycated hemoglobin and quantify the amount of each. Techniques that have been used to achieve this separation include those based on charge differences (ion-exchange chromatography, high-performance liquid chromatography [HPLC], electrophoresis, and isoelectric focusing), structural differences (affinity chromatography and immunoassay), or chemical analysis (photometry and spectrophotometry) (26). Analysis by electrophoresis or chemical techniques has become obsolete in most countries. The methods most commonly used today are HPLC and immunoassays (27)."
glycated  hemoglobin  haemoglobin  hba1c  diabetes  measurement  assay  standardization  tealphoenix 
december 2018 by danhon
How to Get Reimbursed from Medicare for Remote Patient Support - Glooko | Diabetes Remote Monitoring | Population Management , Glooko | Diabetes Remote Monitoring | Population Management
"Clinicians who treat seniors now have a new reimbursable option that helps them get paid for providing critical support in-between patient visits. Effective January 1, 2018, Medicare approved reimbursement for Remote Patient Monitoring or as we call it, “RPM” via CPT® code 99091."
medicare  healthcare  policy  tealphoenix  rpm  remotepatientmonitoring 
december 2018 by danhon
Noninvasive blood potassium measurement using signal-processed, single-lead ecg acquired from a handheld smartphone. - PubMed - NCBI
"We have previously used a 12-lead, signal-processed ECG to calculate blood potassium levels. We now assess the feasibility of doing so with a smartphone-enabled single lead, to permit remote monitoring."
tealphoenix  alivecor  singlelead  ecg  hyperkalemia  potassium  prediction 
december 2018 by danhon
How to Study and Market Your Device > Breakthrough Devices Program
"The goal of the Breakthrough Devices Program is to provide patients and health care providers with timely access to these medical devices by speeding up their development, assessment, and review, while preserving the statutory standards for premarket approval, 510(k) clearance, and De Novo marketing authorization, consistent with the Agency's mission to protect and promote public health."
fda  regulatory  approval  licensing  tealphoenix  alivecor  apple  breakthroughdevices 
december 2018 by danhon
What is SmartRhythm monitoring? – AliveCor Support
"SmartRhythm is a system that takes your heart rate and activity data gathered from the Apple Watch, and evaluates it using a deep neural network to predict your heart rate pattern. If your heart rate differs from the neural network prediction, SmartRhythm will notify you to record an EKG."
tealphoenix  deeplearning  ai  heartrate  accelerometer  ailvecor  ecg  ekg 
december 2018 by danhon

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