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e-Health: Case studies and findings

Watch video presentations on eHealth from ESC Congress 2016 and the ESC Cardiovascular Round Table 2016



Different domains of eHealth are outlined in the ESC Position Paper on eHealth (published in the European Heart Journal August 2015). This page provides examples of eHealth, with case studies presented at the ESC Cardiovascular Round Tables meeting in October 2016 and scientific findings presented at ESC Congress 2016.

The final presentation on this page (Prof. Tony Young, National Clinical Lead for Innovation, NHS England) highlights the need to educate healthcare professionals on how to actually integrate and use eHealth technology.

For an overview on the 'The e-health revolution' read the article published in the European Heart Journal's Cardiopulse.

Telemedicine and Telecare

This includes disease management services, remote patient monitoring, teleconsultations, and homecare.

Remote monitoring of cardiovascular disease - are we not already there?



Martin Cowie, Imperial College London - United Kingdom

Findings from a five year study with Heart Failure patients which highlights that clinicians today need evidence and not just a philosophical change when looking to integrate eHealth.

Managing your own condition - experience of eHealth in the Netherlands



Arthur Eyck, Selfcare Supported - The Netherlands

Fighting long-term conditions: Patient-centred solutions using self-care platforms and technology, in collaboration with patient associations, care providers and health insurance companies.

 


Managing your own condition - the Scottish way


Deborah Wake -  Clinical Lead for MyDiabetesMyWay, NHS Tayside - Scotland

Integrating data across a national system to empower patients, optimise face to face appointments and harness patient data.

 

 Big Data

“Big Data – the ability to collect, process and interpret massive amounts of information – is one of today’s most important technological drivers. While companies see it as a way of detecting market signals, one the biggest potential areas of application for society is healthcare” The Wall Street Journal  - Ben Rooney

Big Data Analytics in healthcare mean taking large, diverse data sources, putting these in an analytic platform with advanced analytic methods, to provide better care, better health, better outcomes, at lower costs.

Big Data: Big Promise?


Kyu Rhee IBM Watson Health - US

How IBM Watson Health is utilising Big Data to support healthcare professionals and give doctors more quality time with their patients.

 

Big Data: Big Promise

- read the article published in the European Heart Jounal

What big data could do for cardiology

John Rumsfeld, University of Colorado School of Medicine - US

What Big Data could do for cardiology, but also where the pitfalls lie, notably in integrating Big Data analytics into patient care. Use your free My ESC Account to view this video.

 

mHealth

mHealth (mobile health) is a component of eHealth and includes the use of mobile technologies. This includes mobile phones as well as more complex functionalities and applications (“Apps”) that deliver health information, screen patients, monitor physiological symptoms, and provide direct care and patient education. It is a rapidly expanding field and considered key to the transformation of healthcare.



Detecting atrial fibrillation via existing smartphones without any add-ons

Smartphones can be used to detect atrial fibrillation with existing hardware. A low-cost app has been developed that uses the phone’s own accelerometer and gyroscope to check for atrial fibrillation. Use your free My ESC Account to view this video.
Read the ESC Press release


pHealth

‘Personalized’ health (pHealth): wearable or implantable micro and nano technologies with sensors and/or therapy delivery devices (including fall detectors, implantable insulin pumps, defibrillator vests, etc.).

This slide from Prof. Young (NHS England), highlights just some of the eHealth devices currently available directly to patients, disrupting the traditional doctor patient dynamic.

 

Activity Tracker

A novel activity tracker has been developed that uses heart rate data to personalise the amount of exercise needed to reduce the risk of death from cardiovascular disease.
Abstract presented at ESC Congress 2016
Read the ESC press release

Social media

Social media has transformed the way world shares information and communicates. It has also enabled social media giants such as Facebook, to harness vast amounts of data and target population segments with information they may want to hear, because of their geographic location, demographic group, gender etc. It therefore has huge potential to not only educate and engage populations in prevention messaging, but also support disease management and treatment.

Social Media and Health

Lydia Chen, Data Tells Life - Switzerland

How to harness and use social media data to positively impact on patient outcomes – examples include information sharing among social media users on the topic of chronic heart disease.

Social media: a powerful tool for physicians and patients - read the article published in the European Heart Journal.

Educating healthcare professionals

Adapting HCP education for eHealth innovation

 

Tony Young, National Clinical Lead for Innovation NHS England - UK

eHealth is here, but are we ready for it? How NHS England is adapting its education and training processes to prepare for a new world and the new challenges healthcare providers are facing.


eHealth and Cardiology

What is eHealth and why is it relevant in cardiolgy today

Read more
Expert Opinion

Access short videos from leading experts in the eHealth sector

Read more
Supporting you in ehealth

How the ESC is supporting its members and represents cardiology’s interests within eHealth

Read more