Revolutionising Adult Social Care: Prediction

Goal

Using data to better identify people at risk of deterioration, so we can proactively intervene for improved outcomes

CHALLENGES TO SOLVE

Risk of falling: Older residents, particularly those living alone, are at high risk of falls, which are a leading cause of injury, hospital admissions and death. Existing technologies are designed to detect rather than predict falls, meaning opportunities are missed to take preventative action.

Age related decline: Older residents can experience sudden or gradual early indicators of decline that may be missed (e.g. weight loss, lack of activity, appetite, changes in speech patterns), resulting in preventable deterioration and higher costs down the line.

Deteriorating chronic conditions: Many chronic conditions progress slowly and may go unnoticed until reaching a critical stage, leading to hospitalizations or complications. Early signs of deterioration are often subtle and can be missed in standard healthcare practices.

Socially determined risks: Social factors like poverty, poor housing, and limited access to healthcare significantly impact health outcomes, but these factors are poorly integrated into individual risk assessments or population-level care planning.

Public health risks: Health and care systems often respond reactively to public health risks, such as disease outbreaks or rising rates of chronic illnesses, due to the lack of early-warning systems that can track population-wide trends.