Presentation by Robin A. Felder, PhD, Professor and Associate Director of Clinical Chemistry and Pathology, former Director of the Medical Automation Research Center and Chair, Medical Automation
1. Robin A. Felder, PhD
The University of Virginia
Department of Pathology
TRANSFORMING HEALTHCARE
THROUGH INNOVATION
2. Disclosures
University of Virginia
Department of
Pathology
Medical Robotics
Medical Automation
Hypogen
WellAWARE Systems
MeyeChem
Proteus Bio
Global Cell Solutions
Monte Piccolo Farm
5. Wellness Support
Growing need for new sources of
data, and data interpretation
Integration of multiple diagnostic
sources (lifestyle, self testing)
Integrated wellness and health
record
Ongoing information support for
maintaining healthy lifestyles
10. KNOWS
LEARNS
You and what is
around you
What you like
SENSING
Local content
& services discovery
Source: Jarrin (Qualcomm)
DISCOVERS
Things relevant
to you
FILTERS
Out the irrelevant
SEEING
INTERACTING
Augmented reality UI:
Map, 3D, in building
navigation
Connection manager
(WAN, Wi-Fi)
11. KNOWS
LEARNS
You and what is
around you
What you like
SENSING
Local content
& services discovery
Source: Jarrin (Qualcomm)
DISCOVERS
Things relevant
to you
FILTERS
Out the irrelevant
SEEING
INTERACTING
Augmented reality UI:
Map, 3D, in building
navigation
Connection manager
(WAN, Wi-Fi)
16. Cloud Based Diagnosis of Parkinsons
Non-invasive phone
based
Low Cost
Accurate (98%)
Scalable to large
populations
Remote, non-expert
Rapid diagnosis
Max Little - Parkinson’s
Voice Initiative
TED Conference 2012
21. Passive Wellness Monitoring
Healthcare providers
Vital Sensor
Urine analyzer
Data management PC
Urine protein
Urine glucose
·Body temperature
·Pulse
·Blood Pressure
·Body fat percentage
22. The M.A.R.C. In-Home
Health Monitoring Project
Create a model where the impact of chronic
disease is delayed or avoided
Provide opportunity for medical intervention
before a crisis occurs
Minimize impact of chronic disease on the
healthcare system
23. Passive Remote Sensing
Wireless Sensor Array (WSA) – gathers data on daily
activities
Data Manager (DM) –transmits data to data analysis
servers
Capture Analysis & Reporting Engine (CARE) – captures
potential problems and alerts caregiver
26. Sleep Monitoring
Sleep apnea affects more
than 40 million people in the
United States alone of which
85% are currently
undiagnosed
sleep apnea testing and
therapy market that is
expected to reach more that
$4 billion by 2012
27. Passive Vital Sign Bed Monitor
Mattress pad to measure:
• Sleep quality
• Pulse (and HRV)
• Breathing
• Movement/
restlessness
• Bed exit
• Subject position/
turning
• Body temperature
• Blood Pressure
Passive Sensing
Polysomnography
29. Remote Automated Triage
Real time assessment of participant health
status/well being
Ability to drill down to specifics
Built in automated optimized dispatching
Manual override of dispatch event or
downstream processes
39. Automated Pharmaceuticals
Automated Pill – iPill (Philips)
Magnatrace™ System looks for pill
ingestion
Networked pills (Proteus
Biomedical)
Instrumented Pills
Cost < $0.01
Measure and send physiologic signals
through body electrically
Receiver is a patch worn on the body
that also logs respiration, heart rate and
body movement, sleep patterns
40. Automated Intestinal Biopsies
Intestinal diagnostic
imaging coupled with
miniaturized biopsies
Pillcams with
intestinal “Velcro” to
arrest the camera at
a selective location
Continuous
monitoring
MIT Technology Lab
41. The Eye as the Window to Health
Medical Robotics
UCSD
Preventive Science Inc.
Univ. of MD, Baltimore
42. MeyeChem, LLC
Real time glucose
monitoring
Alerts for low or high
glucose concentrations
Trending analysis
Food coaching via
telenutritionalmentoring
43. Virtual Reality
Image enhancement,
correction, zoom
Correction currently
limited to 0.2
logMAR, 20/32
Full view software
modulated images
Superimposed
augmented reality
Off axis projection with
transflective diffuser 90 field
eyewear iOptik
Gas-permeable
nanopolarizer
(iOptik contact
lens)
Diopter adjustable
mini-scleral lens
and wearable
computer (iOptik)
Zoom lens (3X)
UCSD
44. Augmented Reality
Projection of
underlying anatomy
on living tissue
Relies on
superimposition of
reality and
previously scanned
animated image/data
50. Receptivity
Presenting health vs
wellness to a patient
Determining what
information is TMI
Optimizing the time
for the presentation
of wellness strategies
“Wellformation”
On April 1924, when Radio News published a cover story titled, "Radio Doctor - Maybe," it offered readers one of the first glimpses into what medicine and the patient-physician relationship might (or should) look like in the future. Like most predictions, this glimpse into the future of "telemedicine," while fairly successful in foreshadowing new technologies in medicine, was predictably more myopic in understanding its full impact on patients, their families, and their physicians.The image on the Radio News cover depicts a young boy sitting on the edge of his bed, with his tongue sticking out, as he stares into the monitor of a sophisticated device: a radio equipped with interactive video transmission and several medical instruments. At the other end of the connection, as represented in the monitor, a physician peers into the patient's throat, while simultaneously listening to his heartbeat through a stethoscope applied to the boy's chest.On a scientific level, the Radio News cover is quite remarkable, considering it appeared before most of the technologies it represents became available. The multimedia platform depicted in the image was probably identified as a "radio" because that was the only communication device with a name and function that would ring familiar to a general readership of that era. In fact, the device was more like a television than a radio. In 1924, the television, as we know it, would not be tested for another 3 years, and videoconferencing, which is now increasingly used in patient-to-physician and physician-to-physician telecommunication had not even been invented. The stethoscope depicted in the image foreshadowed the variety of diagnostic, monitoring, and other medical instruments that are routinely employed today in telemedicine.
Helping patients understand their medical issues in order to enable them to make informed choices has always been challenging. Furthermore, physicians have to integrate data coming from multiple diagnostic sources. Third party sites are proliferating that provide knowledgeable interpretation using public or proprietary algorithms. Highly motivated individuals who generally make healthy choices will fall off the wagon when presented with unhealthy choices.
Helping patients understand their medical issues in order to enable them to make informed choices has always been challenging. Furthermore, physicians have to integrate data coming from multiple diagnostic sources. Third party sites are proliferating that provide knowledgeable interpretation using public or proprietary algorithms. Highly motivated individuals who generally make healthy choices will fall off the wagon when presented with unhealthy choices.
Helping patients understand their medical issues in order to enable them to make informed choices has always been challenging (data on how many people make wrong choices and why). Furthermore, physicians have to integrate data coming from multiple diagnostic sources. Third party sites are proliferating that provide knowledgeable interpretation using public or proprietary algorithms
Pill looking device _ Shine MisFit By now, if you don’t already have an activity-tracking device like a FitBit, you’ve at least heard of them. In early 2013, more than 500 companies make self-tracking tools. While the bulk of these are consumer devices, it’s likely that the functionality of these devices will continue to expand going forward, and will begin to resemble medical devices. Already, wearable products from BodyMedia are certified by FDA as a Class II medical device and the roster of FDA-cleared apps continues to tick upwards. In years to come, breakthroughs in flexible electronics and eventually nanotechnology could ultimately take the self-tracking field to a whole new level.Shown here is the Shine from Misfit Wearables, a wearable fitness tracker. The company, which was founded by medical device veteran Sonny Vu, has hinted that its future products will detect a range of health parameters.
The uChek iPhone app was invented by 29-year-old MIT graduate MyshkinIngawale, co-founder of Biosense Technologies, a company based in Mumbai that specializes in accessible and cheap medical technologiesRead more at http://www.medicaldaily.com/articles/14162/20130228/urinalysis-app-turns-iphone-mobile-urine-test.htm#PkbqTv4R7RTfcc58.99http://www.medicaldaily.com/articles/14162/20130228/urinalysis-app-turns-iphone-mobile-urine-test.htm
WellAWARE™, provides unobtrusive, highly accurate wellness monitoring services to allow individuals to age with options.
The Ascendance of 3D PrintingAs 3D printing mingles with regenerative medicine and stem cell research, scientists will become increasingly adept at using it to create engineered organs, grafts, and for orthopedic applications. In an interview, Daniel Kraft, MD, executive director of FutureMed at Singularity University in Silicon Valley notes that 3D printing, or, more broadly, digital manufacturing, could result in breakthroughs in everything from diagnostics to medical device development.Qmed http://www.qmed.com/mpmn/gallery/image/ascendance-3d-printing
BionicsThe potential of bionics to disrupt healthcare is huge. Already, Ekso Bionics has developed a robotic system that enables paralyzed patients to walk. The company’s CEO, Eythor Bender says that, in the future, bionic exoskeletons will be “the jeans of the future.”
Proteus ingestible event markers (IEMs) are tiny, digestible sensors made from food ingredients, which are activated by stomach fluids after swallowing. Once activated, the IEM sends an ultra low-power, private, digital signal through the body to a microelectronic receiver that is either a small bandage style skin patch or a tiny device insert under the skin. The receiver date- and time-stamps, decodes, and records information such as the type of drug, the dose, and the place of manufacture, as well as measures and reports physiologic measures such as heart rate, activity, and respiratory rate. The IEM is manufactured on silicon wafers, and is extremely economical to produce, costing a few cents per sensor in large quantities. The IEM is the cornerstone of the company’s Raisin™ System, which is currently in clinical development. The Raisin™ System measures the body’s response to medications and is intended to improve the management of chronic diseases like heart failure, infectious disease and psychiatric disorders.