pilsh2014 presentation philips
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Partnering in Life Sciences & Health 2014 presentation PhilipsTRANSCRIPT
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Delivering innovation thatmatters to you
Ernst WodradaPhilips Healthcare
27 November 2014
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Shaping the future of healthcare
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Macro trends:We see an increasing demand for care
2000 2050
Population older than 60
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Macro-TrendsWe are getting older and sicker
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Macro-TrendsThe demand for care is on the rise
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Macro-TrendsWe do not take good care of ourselves
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Macro-TrendsWe expect better choices
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Macro-TrendsThe rate of change is accelerating
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Upcoming Trends HealthcareWe are all connected 24/7
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Upcoming Trends HealthcareMultidisciplinary collaborative care
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Upcoming Trends Healthcare Care everywhere
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Upcoming Trends Healthcare Big data: It’s personal
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Upcoming Trends Healthcare High touch patient experiences
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Upcoming Trends Healthcare Minimalism. Less is more!
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Upcoming Trends Healthcare Home sweet home, extended care
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Big data: It’s personal exampleCOPD
Chronic Obstructive Pulmonary Disease
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Meet Joe• Suspected to have COPD• GP referres him to the diagnostic care path
1 Intake• Half day at the hospital• Do lung tests• Consult with pulmonologist• Issue 1: Only spot measurements are being
done. Not sufficient to detect all issues.
2 Receive monitoring devices• Health Patch• Spirometer• Tablet
3 Continuous data collection at home• Health patch: Activity, Inactivity, Sleep
disturbance, Heart rate variability• Spirometer: Airway obstruction, Dynamic
hyperinflation• Tablet: Questionnaires
4 Discuss treatment options• After a week > discuss his treatment options• Including continuous measurements and
questionnaires results in better treatment plan
5 Share with others• After Joe is referred to a range of specialists• Issue 2: Currently these specialists have no
medical records of patients• System allows Joe to share his medical data
COPD Health Suite - Patient Journey A proposition to get a more advanced COPD diagnosis by doing continuous measurements at home
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Values Clinical relevance
Prio
rity
1: Measuring value2: Target3: Sample frequency
Patc
h
Physical Activity
Detect the amount of physical activity 1 1: Number of steps2: 7000
Physical inactivity
Detect the presence and length of episodes of physical inactivity (i.e. sitting and lying)
? 1: Hours/minutes of inactivity2: < 1 hour
Respiratory indicator*
Detect if patient has Sleep Apnea as comorbidity (COPD patients are increased risk)
3 1: Number of interruptions of breathing lasting 10 seconds or longer
Sleep disturbance
Detect if patient sleeps well 4 1: Number of arousals (move, sit-up) per night
Heart rate variability
Detect if cardiac rhythm disturbances are present (COPD patients are at increased risk)
5 1: Heart rhythm variability number2: ?
SpO2** or better tcO2 & tcCO2
Detect if there is an oxygen transport impairment at night
6 1: SpO2 level3: 30 second (otherwise event is missed)
Spir
o-m
eter
Dynamic hyper inflation rate***
Detect the presence of DH (is an important determinant of shortness of breath)
2 1: Percentage of lung volume after standard exercise (walk stairs) compared to lung volume before the test2: > 90%
Lung volume***
Lung volume over the day for evaluation of airway obstruction
? 1: Lung volume (in liters)3: 3x a day spot measurements
* Sleep Apnea is not FDA approved. Currently sensitivity and positive predictive value among 50 apnea subjects were found to be 83.6% and 72.3%, respectively. Tbd if this is accurate enough.** SpO2 measurements are under developments and expected in half year*** New element, not yet part of the implementation
Measurements v2
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Patient view Professional view
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Dashboard of the pulmonologist
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Creating a healthier tomorrow
Care shifting to lower cost settings and
homes
Ongoing focus on total
quality and cost of care
Increased emphasis on population
health
Patients increasingly
engaged in their health journey
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Confidential April 16, 2014 24