The lifespan of just about every machine is measured by its actual use. With cars we use an odometer to measure its apparent condition by tracking the vehicle’s accumulated mileage. This odometer data is critical to the operation of your car. You use it to determine services (such as changing the oil every 3-7k miles) and determining end-of-life (after 100k miles it’s time for a new car).
But in healthcare the lifespan of a device is often measured by its age. This can be costly when it comes to premium devices such as scanners (CT and MRI) and machines (3-D mammography and robotic surgical) that may be underutilized, over-serviced and retired while still in their prime-of-operation.
But what if you had a medical device odometer that helps you:
- Increase the number of patients served each day by 10%?
- Reduce service calls by 25%?
- Keep a +$1M scanner in service two years longer than planned?
CloudPost software provides an odometer for clinical devices that reliably tracks utilization that helps you:
- Accurately measure the cumulative equipment idle time across your whole organization so you better schedule patients on available devices. In addition, if you group patients with similar scanning requirements, such as head, torso, and legs together, you can reduce scanner reconfiguration time and increase the number of scans per day.
- Schedule service calls when they are needed, based on actual usage, and reduce the number of unnecessary calls.
- Accurately gauge life expectancy and extend the service life of a device. By understanding the steady-state operation utilization of a device (actual hours of use) as you might have years of use beyond the original planned replacement date.
This odometer data can be put to use in your devices’ lifecycle management through the integrated CloudPost Nuvolo solution so you can optimize the management of your clinical devices with a single system.
For a closer look see our demo here.
Note: the percentages quoted above are approximations and your actual results will vary.