Future of an Ageing Population
gs-16-10-future-of-an-ageing-population
gs-16-10-future-of-an-ageing-population
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
6.4 Medical <strong>an</strong>d assistive technologies<br />
Technology is likely to play <strong>an</strong> increasingly import<strong>an</strong>t role in providing health <strong>an</strong>d<br />
care support, <strong>an</strong>d in connecting people. This may include the mainstreaming<br />
<strong>of</strong> technology-enabled care services, for example home health monitoring<br />
tools, the use <strong>of</strong> social media to create <strong>an</strong>d sustain online communities with<br />
shared interests <strong>an</strong>d the increasing <strong>an</strong>d more sophisticated use <strong>of</strong> health data<br />
to improve clinical treatments 177 .<br />
The rapid evolution <strong>of</strong> medical <strong>an</strong>d assistive technologies makes predicting the<br />
scale <strong>of</strong> their impact difficult 186 . The speed <strong>of</strong> development also creates a need<br />
for new methods <strong>of</strong> evaluation <strong>of</strong> these technologies 177 . While technologies<br />
that assist in health <strong>an</strong>d care could be signific<strong>an</strong>t contributors to the growth in<br />
expenditures in these sectors in the short term, they could potentially reduce<br />
costs signific<strong>an</strong>tly in the medium <strong>an</strong>d long-terms. These savings will depend<br />
on the type <strong>of</strong> technology, for example whether they treat symptoms, prevent<br />
disease, ch<strong>an</strong>ge behaviour, radically innovate or incrementally improve, <strong>an</strong>d<br />
how they are implemented 187,188 .<br />
Developments such as 3D-printed joints <strong>an</strong>d org<strong>an</strong>s, therapeutic robotics<br />
<strong>an</strong>d genomics have great potential to improve health outcomes across the<br />
population 189 , while improvements in personalised (‘precision’) <strong>an</strong>d stratified<br />
medicine may allow better targeting <strong>of</strong> medicines, making treatments more<br />
cost-effective 190 . Increases in real-time data collection, driven by developments<br />
in wearable technology <strong>an</strong>d other forms <strong>of</strong> telemonitoring, will enable<br />
healthcare pr<strong>of</strong>essionals to provide more appropriate treatment <strong>an</strong>d support<br />
for patients <strong>an</strong>d carers 191 while the resulting large datasets could drive forward<br />
research in m<strong>an</strong>y areas <strong>an</strong>d potentially help improve prevention <strong>an</strong>d early<br />
intervention 177 . Technology such as alarms, home monitoring systems <strong>an</strong>d<br />
GPS locators c<strong>an</strong> help carers locate people with dementia, although ethical<br />
issues c<strong>an</strong> arise. There is evidence that carers are already using <strong>of</strong>f the shelf<br />
technologies such as baby monitors <strong>an</strong>d smartphone-based GPS tracking apps<br />
in supporting people living with dementia 192 , but specialised technology could<br />
be more widely <strong>an</strong>d effectively used.<br />
To capitalise on the adv<strong>an</strong>ces in assistive technology, a number <strong>of</strong> barriers will<br />
need to be overcome, those being common to all technologies (see Chapter 7)<br />
<strong>an</strong>d some specific to assistive technologies. As with m<strong>an</strong>y new technologies, cost<br />
c<strong>an</strong> be a barrier to their implementation. The use <strong>of</strong> telecare to improve social<br />
<strong>an</strong>d health care for vulnerable older people was judged not yet cost-effective<br />
when assessed 193,194 , <strong>an</strong>d the commissioning <strong>of</strong> technology could be inhibited<br />
because the public service provider might not benefit directly from the potential<br />
savings 195 . Local authorities could fund care-assisting technologies but the NHS<br />
would gain benefits through, for example, reductions in hospital admissions.<br />
P85