Assist North West Telecare : “At home and In-Touch” Using Technology to maintain independence 14th December 2006 Colin Pye Business Development Director Liverpool Direct Limited Telecare definition The use of Information and Communication Technology (ICT) to support independent living for older, frail and disabled people Ratio Persons Aged 16-64 to 65+ 4.5 50 Support Ratio 1 UK Long Term Healthcare Cost 2 4.0 45 40 35 3.5 30 3.0 25 20 2.5 15 2.0 1995 2005 2015 2025 2035 2045 UK Long Term Healthcare Cost (£B) People Driver - Why Telecare? 10 2055 Year 1. Office for National Statistics, 2002. 2. Royal Commission Report into Long Term Care, 1999. Political Drivers • National Service Framework for Older People: “by 2006 (now!), an extra 100,000 people should be looked after at home” • Patient centric care – single assessment process • Bed-blocking – over 65s cost the NHS 1.3 million bed-days each year • The power of the grey vote Financial Drivers - Cost of Care Type of care No of recipients Amount purchased in 2001-02 Average cost per client per year Total cost Nursing care 85,960 3,580,186 £19,136 £1,317 million weeks Residential care 163,300 11,557,035 weeks £15,836 £2,861 million Community based care 925,000 150,000,000 hours £1,956 £1,810 million Assessment & management 1,088,300 N/A £457 £498 million Total 1,088,300 N/A £5,960 £6,487 million Over £7.5B by 2026, without inflation! The ‘Liverpool Telecare Project’ • The service and technology trial of a new solution to help address the crises affecting the delivery of care to older people • Enabling elderly and frail people to live more safely, securely and independently within the community (3.1M single pensioner households in the UK) • Providing a new service and care option to Social Services to help raise care standards, increase efficiencies, promote client choice and reduce costs (£700M pa cost saving to local authorities) Our Solution • The use of non-invasive monitoring of a person’s activity levels, events and patterns of behaviour within their home to proactively alert the individual to situations of cause for concern • To subsequently raise an automatic alarm to carers in the case of an un-remedied situation • The use of adaptive algorithms based on Bayesian Decision Theory to generate personalised thresholds which incorporate real-life care provider policy (costs) 1st Generation Telecare There are now 1.5 million alarm support systems in the UK which use simple technology to provide support to vulnerable people ... … but systems using new technology could provide much better support. 2nd Generation Non-invasive home monitoring Automated alarm escalation to carer Automated alerting to client Data capture and analysis Lifestyle Monitoring • Non-invasive activity and environmental monitoring 24.0 Temp (Lounge) 22.0 PIR (Bedroom) 257 PIR (Lounge) 231 PIR (Kitchen) 324 PIR (Hall) 21 PIR (Bathroom) 10 Closedoor (Entrance Door) 8 Closedoor (Fridge Door) 15 Activity (CDEFGI) 865 FALSE TRUE AWAKE ASLEEP IN OUT ON OFF < Minute > < Hour > < Day > 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 30 0 1 2 3 4 5 6 7 8 9 10 11 12 4 April 1998 13 14 15 16 17 18 19 20 21 22 23 Setting Thresholds • How do we decide when to intervene? – Sensors indicate no movement in the house for a substantial period of time – Since the person is possibly incapacitated we have substantial risk and we want to be risk averse – We also wish to reduce overall costs to care providers – We need to use all the information available • We want to make decisions in ways that are evidence-based, rational and equitable Carer Carer Voice call (PSTN) Daily summaries Liverpool Direct call centre Management Data interface server Broadband Encrypted Alert messaging Back office Voice call (PSTN) Internet Firewall Monitoring data Monitored residence Messaging Voice server server Broadband Encrypted RMU Automated Voice Call (PSTN) Telecare platform Results • • • • 21 Liverpool residents are/have been pilot clients Up to 16 clients online at once 1st Client online 19th February 2004 ~2500 automated telephone alert messages have been sent to the clients • ~1300 of them being subsequently raised as alarms into LDL Alarm Validity Genuine Other Genuine Missed PIR Missed Contact Sensor Fault Spurious event Other In Home Alerts Analysis of automated voice calls (period 24/03/2004 – 14/01/2005) • ~2,500 calls made to the clients for period of ~3,000 client days of data • Average of 0.8 calls per client per day • Spread is from 0.1 to 2.5 calls per day with median of 0.5 calls/day • Result: IVR reduced number of alarms by around 40% From Liverpool City Council… • Tony Hunter, LCC Director of Social Services – Current President ADSS – “After the trial we would want to incorporate Telecare as a normal way of looking after older people.” – “Is Liverpool doing this to save money?” – “No, it is being done to enable people to stay in their homes, but any cost savings would be welcome as they would benefit other people in Liverpool.” Radio 4 interview. © The Liverpool Four Layer Telecare Model Increasingly Pro-active Care Increasingly Re-active Care Level 4 : CLINICAL • Diabetic Care •CHD Level 3 : INDIVIDUAL •COPD • Application DELIVERING • Self-Learning algorithm CLINICAL CARE Level 2 : SAFETY RESPECTIVE • Sensors INDIVIUALISATION • Security Alarm Level 1 : SOCIAL ALARM SUPPORTING • Pendants SAFETY • Contact Centre BUILDING CONFIDENCE AND SECURITY Each successive layer builds on the functionality of the previous one. The total service is underpinned by a common infrastructure that includes: • Contact Centre staffed by Healthcare Professionals (Social Services and NHS) • Engineering support for design, implementation and service Common Infrastructure and Support Services that apply to every layer The Benefits Dependency Network Stakeholder table 3rd Generation Telecare • Builds upon 2nd Generation Telecare – Immediate alarms • Holistic well-being analysis – Pre-emptive, long term trend analysis • Migrates Telecare from a crisis safety net to an assessment tool • Will enable intervention outcome measures and optimisation of care packages Well-being INDEX: HISTORY REGION PREDICTIVE REGION 100 1st FALL 80 MEDICATION CHANGE 50 2nd FALL (Without Intervention) 20 10 04 CARE INTERVENTION STARTS STAIR LIFT INSTALLED 45 48 00 38 39 40 41 42 43 44 46 47 49 50 51 52 PERIOD TODAY INTERVENTION LEVEL: None Mild Moderate Major PREDICTION X TYPE: CALCULATE X OPTIMISATION: X Without Intervention Medication Change Accommodation Change Care Well-being Index Cost (£ per Week) Av Err: 12% • Example showing typical activity • Client in bed between 11pm and 8:30am • Example showing cause for concern • Client leaves dwelling at 10pm and does not return till 3am Activities for monitoring Social interaction Leaving and returning home Visitors Phone usage Writing Email Talking Healthy lifestyle Physical activity vs. being sedentary Household chores Preparing food & eating appropriately Washing, taking a bath/shower Sleeping patterns Detachment from reality – too much TV Self esteem Personal appearance Leisure activities Personal hygiene Initial set of activities: • Leaving & returning home • Visitors • Preparing food & eating • Sleeping patterns • Personal appearance • Leisure activities The Silence of the Lounge Sample ‘Well-being’ interface Q3. Sleeping Habits Q4. Eating Habits Pervasive ICT for wellbeing Holistic Well-Being Monitoring: • • • Integration with health monitoring Chronic disease management Enabler for joined up care Many questions still to be answered: • • • • Low cost ubiquitous sensor devices Scalable intelligent data analysis Seamless links to ICRS Privacy and ethics Opportunity for continuous objective measurement and support: • • • • Peace of mind for clients and carers Optimisation of home care services Timely intervention ahead of crises Government and consumer market Thank You Contact: colin.pye@bt.com 0780 141 2193