the potential use of mobile and wearable sensor devices in the management of chronic diseases
DESCRIPTION
As the rate of information technology increases at an exponential rate, more and more devices and sensors which are capable of harnessing crucial data (such as vital signs) are being integrated into the healthcare ecosystem. The benefit of mobile technologies to intervene and improve health is increasingly becoming a topic of discussion. Through the use of examples from three primary chronic conditions, this report will critically analyse the scientific findings of the use of these sensors and the possible impact they might have on future diagnoses and improving the overall efficiency and accuracy of healthcare management. This report will specifically interrogate the multiple technologies which can be integrated for cardiovascular problems, diabetes and chronic obstructive pulmonary disorder. The overall findings concluded that these novel technologies would provide considerable improvements to healthcare, but would have to overcome several obstacles prior to total integration. A cost-benefit analysis would have to be done to overcome the previous more traditional approach.TRANSCRIPT
The potential use of mobile and wearable sensor devices in the
management of chronic diseases
Timothy Delany09322833
Supervised by Dr. Brian Caulfield
Source: Statistics Bureau
World Population Pyramids
• High cost of healthcare
• Inefficient management of chronic diseases
• Poor regulation of health interventions
• Overcrowding of the hospital setting
Difficulties which currently exist in the healthcare ecosystem
• 2nd Highest household expense
The Cost of Healthcare
• The number of insured is decreasing annually
• 32% of people refuse to see doctor when sick/injured
47% of this is because of the high cost
In 10 years, the Irish healthcare spend has doubled to $19 billion
Year % GDP (US) Cost ($)
2010 17.9 2.6 trillion
2020 19.8 4.6 trillion
Obesity forecasts
Source: E-health Strategy
• In the United States they make up ¾ of the healthcare costs, affecting more than 140 million individuals and accounting for $2 trillion/annum
• Major cause of mortality, accounting for 46% of global diseases
Chronic Diseases
• By 2020 – 89% of diseases in high income countries will be chronic
• In Ireland – chronic diseases make up 80% of the healthcare costs
• Cardiovascular disease
• Diabetes
• COPD
Non – Communicable Diseases
In 2011, WHO called on governments to focus on reducing the prevalence of these major chronic diseases
This case study will cover the following aims: 1. To describe the burdens the current healthcare ecosystem
faces, specifically with regards to chronic diseases. 2. To explain the potential that mobile and wearable technologies could have if integrated into this ecosystem. 3. To give an overview of various vital signs and measurements these devices can assess; specifically focussing on cardiovascular problems, diabetes and lung function. 4. To outline the potential implementation of current devices into the ecosystem of these chronic diseases.
Aims of this Case Study
• Inefficient clinical trials
• Access to healthcare
• Patient compliance
• Nosocomial infections
• Access and transportation
Other Burdens
Hospital Setting
• Full of highly resistant bacteria and pathogens
• 2/3rds of hospitals are contaminated
• Extranasal-methicillin resistant Staphylococcus aureus (MRSA)
• Potential to accelerate patient’s illness
• >100,000 fatalities in the US every year due to wrong medicines being received
Clinical Trials• Current gold standard for configuring efficacy
of health interventions is randomised clinical trials (RCT)
• Have evolved slowly over time
Source: ClinicalTrials.gov
• Long time lag between recruiting participants and publication
• High costs
• Limitations to current rating scales
• Irregularity of measurements/titrations
• Controlled circumstances and environments – significant outcomes already determined
Problem with Clinical Trials?
What can be done to overcome these
burdens?
Evolution of Internet Connected Devices
Source: Cisco
Creation of a New Patient-Centric Environment
Source: E-health Strategy
Source: HIS Inc.
Forecast for wearable tech revenue growth ($bn)
• Evaluation of disease, environmental toxins, motion, hormones, behaviour and other physiological variables
• Clinical trials to be carried out in multiple environments
• Improve knowledge of the etiology of illnesses
• Monitor fluctuations in health
• Continuous monitoring
Potential
Important measurements
1. Cardiovascular Problems
2. Diabetes
3. Chronic Obstructive Pulmonary Disease
1. Cardiovascular Problems
• The heart beats roughly 3 billion times in a person’s lifetime
• No surprise that cardiovascular problems are the leading cause of death worldwide
Blood Pressure
Crucial in prevention of cardiovascular diseases
Past measurements have failed to account for circadian rhythms
Ishikawa et al (2011) found 24 Hour monitoring of blood pressure provides a significant amount of information
Difficult to exercise or shower with
Holter Monitor - 1949
1999
Device Integration
MacManus et al 2010 – mean systolic blood pressure decrease by 5.4mm Hg
Continuous monitoring has also lead to the discovery of ‘White Coat Hypertension’ and ‘Masked Hypertension’
iHealth Sensor
Heart RateHeart Rate
Arrhythmias, bradycardia and tachycardia often indicate asymptomatic diseases
Device Integration
2. Diabetes – Glucose monitoring
Global total has surpasses 350 million
It is estimated that 40% of diabetics in the U.S. are undiagnosed
Mobile phone intervention improved the glycated haemoglobin by 1.8%
Source: Quinn et al 2011
Nanosensor Tattoo
Amperometric sensing contacts
3. Lung Function
3rd Leading Cause
210 million
Difficult to measure
Varying levels of air flow volumes for lung diseases
Source: Cleveland Clinic
Plethysmography and pneumography devices have been implemented into wearable technology
Spiro Vest
Source: Enokibori et al
Device Integration
Discussion
Possible Problems
Security – 43% of identity thefts are medical
Privacy – maintaining annomyinity
Data – sheer volume
Regulation – FDA list of guidelines
Noise – can obscure measurements
Telehealthcare evolution (no. of people)
Source: E-health Strategy
Future and Recommendations
• Pros appear to outweigh the Cons
• Numerous studies have found that continuous measurement is more effective
• Integrate sensors into current clinical trials
• Technologies will be obsolete though? Solution = continuous evaluation of evolving interventions (CEEI)
Conclusion
• Advance the quality of health services and decrease overall cost of healthcare
• Improved studies outside of laboratory environment
• More high-quality RCTs need to be carried out to evaluate the clear advantage of these technologies
• In order for monitoring to succeed in the long term, integration of biomedical functionality, fashion and health added value are crucial
• Accurate and reliable real-time information -> better management
Higher precision, improved sampling frequency, fewer misleading data, greater convenience,
and lower cost
Thank You
Questions?
I’d like to acknowledge Dr Brian Caulfield for his guidance and support
Acknowledgments and Questions