TECHNOLOGY IN CARE
preferences in minutes, improving continuity of care for the service user.
In addition to scheduling and automation of back-office activities, such as payroll, we have worked hard to put as much information at a care worker’s fingertips as possible; including care package details; medication; service user likes and dislikes; and, importantly, outcomes that the service user would like to work towards.
Safeguarding is another area where technology has had a significant impact, with service user visits verified in real-time and much easier monitoring of lone workers through the use of mobile technology.
Families have been empowered with detailed care plan information and records including attendance information, outcomes progression, medication records and the ability to liaise with the provider, which reduces anxiety in the service user’s support network and enables a much more joined up and cohesive service, for the benefit of the end user.
Interestingly, whilst all of the improvements detailed above are centred on the service user, many are having a positive impact on frontline care workers as they are giving them the information to do their job more effectively. We have also heard reports of increased job satisfaction through being matched with service users whose needs are within the care workers’ skillsets and who have shared interests.
Throughout the past 20 years, ours has been a two-pronged approach. On the one hand, we have worked closely with local authorities and providers to deliver soſtware that has enabled them to
better manage care provision and relevant data. On the other hand, we see it as our responsibility to keep innovating and offering new solutions to drive the industry forward.
Today’s solutions deliver intelligence to care providers and commissioners, allowing them to make faster and better decisions to allow the most to be achieved with tight budgets. Automated optimisation of schedules is maximising precious care worker capacity. Care monitoring is evolving into less intrusive and more accurate methods of health monitoring, whilst machine learning and artificial intelligence provide new understanding from the huge volumes of monitoring data being collected.
For example, our ARMED solution is using low-cost environmental and wearable sensors to remotely monitor service user risk indicators and using our algorithms within Microsoſt’s machine learning to pick up fall risks and other frailty indicators far earlier, allowing preventative action to be taken.
Technology will never replace the human element of care, but it is clear it can make significant enhancements to the quality and efficiency of services which is ultimately good news for all those involved in delivering and receiving care.
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