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WIN: WIRELESS INTEGRATED NETWORK

WIN: WIRELESS INTEGRATED NETWORK. PATENT. Patent : WO2009127954A2. Research report: WO2009127954A3. Also available on: ep.espacenet.com Key words : “ valdastri mazzeo”.

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WIN: WIRELESS INTEGRATED NETWORK

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  1. WIN: WIRELESS INTEGRATED NETWORK

  2. PATENT • Patent: WO2009127954A2 • Research report: WO2009127954A3 • Alsoavailable on: ep.espacenet.com • Key words: “valdastri mazzeo” Claims 5 and 10 are original and involve an inventive step with respect to the state of the art, therefore claims 5 and 10 can be considered as granted. In particular, claim 10 is about auto-configuration of the modules as they connect to the base body. This, together with the modularity, makes the proposed system modular and plug & play, developing the full potential of our invention and making it flexible and easy to use. Claim 5 is about the connection of 2 base bodies in order to increase the number of possible sensor modules to be connected and used at once. This is also a very important claim for implementing our modular monitoring system. Actually we submitted a demand opposing the reviewer comments to try to have all the claims granted. If not, we will rewrite the claims incorporating 1+10 and 1+5. (source: Pietro Valdastri)

  3. TECHNOLOGY • 8051 microcontroller core • IEEE 802.15.4 Transceiver • Carrier frequency 2.4 GHz • Dimensions: 26x14x7 mm3 before the encapsulation • Temperature sensor • Battery status monitoring • 8 Analog Input (12 bit resolution) • 6 PWM • 2 serial interfaces • Very low power consumption • USB-Radio Dongle with PC Interface • Ideal for sensor monitoring and for actuator control

  4. OUR FLAGSHIP PRODUCT Flexible modular hardware system • Easy to assemble – easy to use system • Max flexibility to add new “digital” plasters • Software compatible with hospitals’ software • User friendly • Patented hardware • Potential adoption in other sectors such as sport, well being, defense

  5. MISSION To create world class medical care technology that provides doctors and patients with real time access to physiological data What’s new? Different “digital” bricks assembled together to fulfill the specific user needs A flexible modular system capable to easily adapt to the continuous change of user needs

  6. POTENTIAL VALUE CHAIN PHASE 1: a supplier provides a patient with a wireless wearable device equipped with WIN modular system PHASE 2: the patient gets monitored and his/her physiological data are sent to a data processing system PHASE 3: the processing system stores, processes and displays the data to the final user WIN VALUE ADDED: the modular and user friendly WIN system allows the final user to easily re-configure it without technical assistance PHASE 1 PHASE 2 PHASE 3 User Belt + WIN hardware A B C D + Data processing Data gathering KSF Ergonomics Design KSF Usability Real time access

  7. BUSINESS MODEL (scenario) PRODUCT DEV SALES MODEL SERVICE MODEL Distribution Clients Service Customer Care C) Product built by supplier on WIN’s requirements N) Out of scope O) Business customer care G) Win distributes through a commercial partnership Tech manu. and Pharma D) Product developed in partnership with chosen supplier /partner

  8. TELEMEDICINE: EU MARKET • EU market value: $236 ML by 2014* • 2.5ML diabetic patients in Italy • 4ML patients with respiratory failure in Italy • 1ML patients with chronic heart failure in Italy • The Italian NHS spent $2,686 pc in 2007 (ca 8,7% of GDP)** • There is a clear cost savings opportunity for the NHS (*)Source: Frost & Sullivan (**)Source: OCSE

  9. COST SAVINGS: ACTUAL MARKET APPROACH We started a project pilot with three departments of an hospital which is just round the corner from our office. The three departments are: 1) the department of surgery; 2) the department of cardiac surgery and 3) the department of general medicine. We conducted several in depth interviews with doctors and nurses in order to capture important data to understand better the real future impact of our product in terms of cost savings and the value added that a similar solution can bring within the departments. • Case one/actual market approach (read ocean): Patients’ body temperature monitoring • Everyday a nurse within the department of general medicine spends 7 minutes to check the body temperature of a patient • This task is repeated 3 times a day • A nurse checks on average the body temperature of 20 patients a day • A nurse spends 420 minutes (7 hours) a day to perform this task • The average full loaded cost of a nurse within that department is €25 per hour • The average cost of performing this task is €175 per day • The average cost of performing this task is €64,000 per year • This task could be completely automated by any wireless sensor network already available in the market. What if two or more physiological data should be monitored by allowing nurses to just change the sensors without changing the system main body?

  10. COST SAVINGS: OUR APPROACH Thanks to our flexible and modular solution which will be designed to be extremely user friendly, users (doctors, nurses, etc.) can monitor different physiological data just by changing sensors on the main body . • Case two/our potential market approach (blue ocean): Let’ssuppose we will monitorpatients’ #1body temperature, #2blood pressure and #3heart rate by using just one main body and different sensors • The average cost of performing task #1 is €64,000 per year • Let’s assume a similar cost for task #2 and #3 (we do not consider the added complexity of performing these tasks) • Thanks to our approach the final cost savings is = (actual market approach * 3) = €192K per year in terms of personnel’s time/cost in performing these tasks • This approach comes directly from one of our patent’s claim: modularity. In fact, thanks to our modular system when it comes to monitor physiological data users do not need different hardware for different sensors. They need just one main body where they can easily plug in the sensor/s they need in that particular moment. This approach represents a potential cost savings opportunity (n*)times greater than the actual market approach. (*=number of physiological parameters to be monitored)

  11. THE FUTURE: THE INTERNET OF THINGS

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