This document discusses how new sensor and intelligent device technologies have the potential to transform healthcare delivery by bringing care closer to patients' homes. It describes how these non-intrusive technologies could enable patients to recover more quickly after surgery and benefit from virtual reality applications. The document also examines how wearable devices and sensors that can monitor vital signs could support more integrated, patient-centered care models by reducing dependence on providers and facilitating remote care, monitoring and early detection of health issues. Machine learning and big data analytics are discussed as ways to generate insights from the large and growing volumes of patient data that these new digital devices and sensors are capturing.

1. Non intrusive devices
Intelligent devices
"Sensors could change how we deliver healthcare by bringing care closer to the home,"
Prof.Dr.O.Ferrer-Roca

2. 1-INTEGRATED CARE Health & Healthcare delivery centered in patients not in doctor/workers
value-based-healthcare (VBH)
VBH VBH
EFQM

3. 2-Return Home after 48h of surgery…
VR and sensor tech will benefit patients of the future
http://www.wired.co.uk/news/archive/2015-
01/29/sensor-innovation-Healthcare
Efficiency

4. 3.-
Non intrusive
technology
Dependence & Wearables

5. Medical model vs Nursing model
 Focus on defect, or dysfunction,
within the patient, using a
problem-solving approach.
 The medical history, physical
examination, and diagnostic tests
provide the basis for the
identification and treatment of
a specific illness.
 The medical model is thus
focused on the physical and
biologic aspects of specific
diseases and conditions.
FIX-IT MODEL
Holistic approach to disease.
 “The Activities of Living” model. A disease in the
context what the patient can and cannot do for
themselves. They list activities :
◾breathing
◾eating and drinking
◾eliminating
◾controlling body temperature
◾mobilizing
◾sleeping
◾maintaining a safe environment
◾communicating
◾personal care and dressing
◾working and playing
◾expressing sexuality
◾dying
 Self-care deficits model brought on by the disease :
◾“deficit in urinary function” for an enlarged prostate,
◾ “deficit in oxygenation” or “deficit in respiratory
function” for someone with pneumonia
According to doctors “soft science” . But which person is going to make your actual life better

6. Nurses over 50y  are firing
For Transparency sake the average Nurse according to the Department of Labor:
•The National mean for a Nurses annual salary is $68,910.
•For a less experienced Nurse it is reported as $45,630.
•For the seasoned Nurse it is reported as high as $96,320.
PHAs
Personal Health Assistants

7. RECORDING DATA

8. HIPAA-compliant and lets you
choose how you want to see and
share your data
HOME for all of your data. You can see it all in one place.
You and the people who support you can use Blip to look,
learn and make informed decisions together
UPLOADER & a HOME storage
Tidepool Uploader Blip

9. QUERY LANGUAGE
And like everything that Tidepool builds, the source
code is openly and freely available on GitHub.
Tidepool
Query LanguagePalo Alto, CA 94031
Nutshell & Sonar

10. MACHINE LEARNING
a) simple link memory (what you eat your glucosae effect)
Meal Memory (DATABETES.COM)
Dexcom STUDIO™ & Dexcom PORTRAIT™

11. b) Complex machine learning
SCANADU SCOUT ™
Our Machine Learning group has made our algorithms
fitter and faster everyday.
We needed a lot of patient data for each of the vital
signs. The fact that we're doing multiple measurements
in parallel has made data collection complex
540,000 raw data points per scan totaling about 1
megabyte, which is much more than many commonly
used electronic devices

12. BitBite (June 2015)
BitBite is a new Bluetooth device
that analyzes the sounds and
patterns of your chewing. By wearing
the device in the ear while eating or
drinking, a user can find out their
chewing quality, bite count and
calories consumed.

13. FLIP
Avantari Medical
Technologies- UK

14. PoC: BLOOD & URINE @home
SCANFLO™ Urine Analysis CUE™ blood analysis
The first of these is the urinalysis called
Scanaflo which is due to go through clinical
trials and FDA in early 2015
Collect vital sign data Scanathons
The lab tests inflammation via C-
reactive protein, vitamin D levels,
female fertility based on Luteinizing
hormone, influenza virus, and
testosterone levels.

15. PoC: PHONE BLOCK- Ara Project
https://www.youtube.com/watch?v=khBKp70KdpU&feature=youtu.be
Joseph Kim
KPI ultrasound
Los Angeles
Vestigen
Slovenia
www.nephrosense.com
http://youtu.be/XdiAXJ6NgGM

16. New Microsoft “personal agent technology”
“Personal Agent is a piece of software that will remember
everything and organize it in a manner that will allow you
to find things that are important”
BILL GATES.
Would it be a CORTANA extensión?
Jane Taylor voice
An ontology is a part of the agent's knowledge base that
describes what kind of things an agent can deal with and how
they are related to each other.

17. Google Life Sciences
Change medicine from being
episodic and reactive (like, I
go to the doctor when my arm
hurts), to proactive and
preventative
p-MEDICINE

18. DATA in MOTION
Data is doubling in size every two years. From 2013 to 2020, the digital universe
is projected to grow from 4.4 trillion gigabytes to 44 trillion gigabytes
Data “in motion,” which refers to the
velocity and highly interactive nature of the
data captured by sensors and intelligent
devices. Data is dynamic and exists on a time
continuum