The healthcare industry is undergoing a digital transformation enabling doctors and nurses to change their approach to care from the traditional to a more remote offering.
Medical devices often work alongside an application and these can be used to check things such as blood sugar levels and heart rates. Based on the data they can then remotely alert medical professionals to potential problems enabling them to take fast, appropriate and often preventative action.
With the adoption of use of applications comes the risk around their performance. If this is interrupted due to network impairments, there is a chance that the large amounts of data which these applications process and provide for accurate diagnostics, could be unreliable. Unreliable data in healthcare = risk to lives.
When it comes to remote care, connection to a network 24/7 is required and therefore often applications will rely upon 3G or 4G networks to function when being used in mobile circumstances.
These connections although continuously improving can suffer from impairments such as latency which slows down the application performance and a slow performance in an emergency situation is not an option!
For those operating in the healthcare sector being able to understand how impairments may impact performance is essential if the risk to life is to be taken into consideration. Using network emulation various ‘what if’ scenarios can be designed and tested to evaluate network changes and their impact on the application performance. This can provide insight into performance across best, average and worst conditions so that decisions can be made against the scale of risk they would bring the user and work to be undertaken to mitigate these risks prior to the applications going live.