Philips

[Philips @Studio_PPCM_one]

Using data, we can deep-dive into the behaviors behind increasing alarm load to guide policies and decisions in a quantified way

[Philips @Studio_PPCM_one]

Predictive analytics is going to be the silver bullet to enable early alerts, risk stratification and to support decision making.

[Philips @Studio_PPCM_one]

There is no need for double-charting if we can push vital signs from the bedside monitor to a centralized, integrated database

[Philips @Studio_PPCM_one]

Connected, wearable biosensors that continuously measure vital signs will be the next-generation monitoring solution

[Philips @Studio_PPCM_one]

Medical devices must go where care is delivered. We need to realize the benefits of Mobile Health Monitoring devices.

[Philips @Studio_PPCM_one]

Philips has 56% market share in critical care monitoring worldwide

[Philips @Studio_PPCM_one]

Lumify is an app-based, portable ultrasound that you can bring to the patient's bedside without compromising functionality and image quality

[Philips @Studio_PPCM_one]

Healthcare is highly regulated and we do many due diligence when developing new solutions

[Philips @Studio_PPCM_one]

Disposable sensors address staffing issues by cutting down on workflow steps such as cleaning and storage.

[Philips @Studio_PPCM_one]

Predictic analytics is a safety net in general wards, especially when you don't not have enough resources

[Philips @Studio_PPCM_one]

Staying connected with patients in between check-ups,ensuring they remain healthy to prevent readmission is an ultimate goal in patient care

[Philips @Studio_PPCM_one]

In an 8-hour shift, nurses hear over 200 alarms - alarm fatigue is a real problem.

[Philips @Studio_PPCM_one]

Wireless sensors like CarePoint intuitively provide rapid assistance to keep patients safe and independent at home, and in the community

[Philips @Studio_PPCM_one]

Instead of a series of alarms when patient goes into shock in the ICU, we want to be able to predict 15 mins before

[Philips @Studio_PPCM_one]

Philips is moving towards machine learning algorithms to give us smarter and smarter prediction

[Philips @Studio_PPCM_one]

Waiting time for an examination in a sleep lab is 2 to 3 months - Patients can't afford to wait.

[Philips @Studio_PPCM_one]

Clinical outcome improves when we are able to manage sleep disorder before discharge

[Philips @Studio_PPCM_one]

With our solutions getting smaller, it also makes economical sense for the hospital.

[Philips @Studio_PPCM_one]

Sensors that we develop will increasingly look at data points and risk indicators such as posture, activity rate and step count

[Philips @Studio_PPCM_one]

Our goal is to create an open platform where we host applications that you think are relevant