Barriers to maximising the adoption of AI in relation to falls prevention

Date: 30th Apr 2019

Prevention has been an aspiration within health and social care policy for many years but with fragmented services and budgets, an increase in demand for care and support, and severe financial pressure, it’s often difficult to turn good intentions into actions.

• Lack of knowledge and awareness by senior managers and health organisations to see the benefits of ‘invest to save’ in these types of technologies
• With services struggling to react at present there are not the resources to support prevention services.
• Not enough budget resources or the right digital skills / expertise to support the
considerable change management required
• Most health and social care staff are not educated to consider the use of technology in
delivering care. The emphasis is mainly on responding rather than preventing
• Difficulty in identifying individuals and being able to target them at the right time in the
correct way.

The stark situation in England was highlighted by one professional as follows:

“Lack of integration between health and social care is a major barrier; preventing someone in receipt of social care saves costs to the NHS, therefore why would social care providers pay for this when the sector is already in dire financial straits?”

If you can break down these barriers, then the rewards for citizens and their families, healthcare professionals and the health economy are plentiful.

We are releasing a WHITE PAPER this week:

ARMED White Paper


WILL ARTIFICIAL INTELLIGENCE SET THE STANDARD FOR FALLS DETECTION? -Understanding how data plays a significant role in facilitating healthy ageing and independent living.

Click here to access your copy

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