search.noResults

search.searching

saml.title
dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
TECHNOLOGY


CONNECTED CARE


Mark Hindle, Managing Director at Tunstall Healthcare, discusses how data insight can enable more communication, visibility and decision-making in order to improve outcomes and support staff capacity.


As health and social care needs across the UK continue to evolve and pressure on an already stretched workforce intensifies, the shiſt from reactive to proactive care can no longer be viewed as aspirational.


Delivering better outcomes for people depends on health, housing and social care providers working collaboratively, aligning across data and service delivery. While the challenges facing the system are widely understood, what is less recognised is that the data needed to enable this transformation is already being collected.


UNDERSTANDING THE DEMAND AND STAFF ISSUE


The Association of Directors of Adult Social Services estimated that in England alone, a minimum of 250,000 people are waiting for a care assessment at any one time. This record demand, an ageing population and inflation are all straining the social care system.


Combined with the workforce crisis that is impacted by difficult conditions, demanding work and a lack of implementation of a strategic workforce plan, the social care system is in need of a clear and strategic way forward to upliſt staff and capacity.


Councils, housing providers and care providers also need to move beyond reactive approaches to create viable models of preventative care and early intervention, all routes which will also improve outcomes for staff.


THE VALUE OF DATA IN SOCIAL CARE


Being able to effectively use digital tools to harness data improves the quality of social care, enables earlier intervention, strengthens decision-making and creates more efficient ways of working.


24


For carers and social care staff, this means spending less time reacting to crises or completing unnecessary visits, and more time delivering meaningful, person-centred support where it is needed most.


Analysing health and wellbeing data gives delivery managers greater visibility of the people in their care, allowing them to identify potential concerns quickly and deploy interventions before issues escalate. It also enables care managers to prioritise workloads, make better use of staff capacity and ensure limited resources are directed towards those with the greatest need.


Using predictive models that combine existing health data with personalised care insights is the only route in improving outcomes for people while providing a richer understanding of their quality of life. Rather than relying solely on routine schedules, care can be shaped around an individual's changing needs, giving frontline staff the confidence to make informed decisions based on real-time evidence.


A proactive model also creates the opportunity to establish benchmarking across housing and care providers, using shared data to identify trends, forecast demand and understand where services will be needed most – this allows organisations to plan resources more effectively while delivering increasingly personalised support.


The opportunity to connect information and coordinate services at scale has never been greater. By reducing administrative burdens, improving communication and giving carers, care managers and partner organisations access to a shared view of an individual's wellbeing, connected data enables professionals to spend less time navigating systems and more time caring for people.


www.tomorrowscare.co.uk


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38