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Mark Kennion Business Intelligence to shape your Local Care Market.

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Presentation on theme: "Mark Kennion Business Intelligence to shape your Local Care Market."— Presentation transcript:

1 Mark Kennion Business Intelligence to shape your Local Care Market

2 Care Management for Local Authorities, Care Providers and NHS

3 Knowledge Information Data Business Intelligence – the quest for knowledge

4 Big data: 50% of CM2000 customers are Private Care Providers, enabling a unique Care Act Impact Project involving providers supporting data collection on Private Funded care CM2000 added insight to the 15 minute commissioning debate by looking at planned & actual visit data - demonstrating the most important issue is what's actually delivered Business Intelligence: Our Customers now interrogate current and historic information, quickly and easily, using CM2000’s new business intelligence tool, CMBI. Using revolutionary search engine technology, CMBI allows customers to produce operational and strategic views and dashboards based on 1 billion records. A simple yet secure web based design ensures no specialist skills are required to view and query information Falls Prediction: CM2000 is supporting Edinburgh Napier University to develop predictive data techniques around frailty, to help our customers identify homecare service users at risk of falls Predictive data used in conjunction with real-time ECM information about a Service User’s progress and well- being will help highlight intervention needs

5 Sub Heading Falls Prediction

6 PhD research at Napier Edinburgh into a frailty framework Anticipate falls at a much earlier stage through data analysis Analyse the current state and the expected Patient trajectory (stable, decline or recovery) Provide advanced ‘predictive analytics’ Inform strategic commissioning Predictive Analytics – Falls Prevention

7 Data analysed through assessment at start and end of reablement period Identified no direct correlation between age and improvement Identified improvement in people over 85 Linked to socio economic factors Results provide insight into Carer performance Age v Improvement (data set approx. 250)

8 Combining wearable technology Project commencing with four Scottish Councils (Oct 2016 – June 2016) The intention at each Council is for 3 waves of 15 clients each involved over a 3 month period:  3 different sets of clients covering different socio economic status and differing seasons of the year  CM2000 Outcomes Platform & Wellbeing Portal to capture and feed in qualitative responses  Wearable wrist devices to capture health related factors such as heart rate  CM2000 quantitative real time monitoring information to derive frequency and duration of visits  Use assessment data recorded at the start and end of the reablement period or ongoing review process Will assist to identify “Heavy Fallers” and predict going forward clients displaying data that would correlate to a “Faller

9 Private Care Data: Assessing the Impact of the Care Act Next Question: How can LAs deal with the legal duty to assess any citizen with a homecare need? Next Question: How can LAs deal with the legal duty to assess any citizen with a homecare need? Strategic Questions: How big is the local homecare private funder market? When will the Council expect to see private funders reach (£72k) threshold? How much will the LA need to budget (forecasting)? Strategic Questions: How big is the local homecare private funder market? When will the Council expect to see private funders reach (£72k) threshold? How much will the LA need to budget (forecasting)? Answering Strategic Questions: Who is providing the care? What is the citizen buying? How much are they spending? How long does the citizen stay in service? Answering Strategic Questions: Who is providing the care? What is the citizen buying? How much are they spending? How long does the citizen stay in service? Data Quality Challenges: What is included in Private Funding? Which Age groups are included? What care types are being provided? Data Quality Challenges: What is included in Private Funding? Which Age groups are included? What care types are being provided? Data Collection: Engage with Providers Capture data using CCL! Analysis and fine tune sampling Data Collection: Engage with Providers Capture data using CCL! Analysis and fine tune sampling Report Findings: Using CMBI reporting tool Verify findings with customer Report Findings: Using CMBI reporting tool Verify findings with customer

10 Data Collection Providers Participated:16 (50% take-up) Providers with Private only and out of Borough work:3 Private Funder/Service User Sample Size:402 (31% of private market) Grouped Support Task (based on current eligibility):Primary & Secondary Average Service Duration (weeks):105 weeks Average Cost of Care (per week):£167.82 Average Hourly Rate£15.94

11 Data Quality Changes Adjustments: Non-Private Funder sources-11% Under 65 Age Group-13% Non-Personal Care-13% Private to Council Charge Rate-27% Councils Provider Rate£12.53 Private Charge Rate (Average)£15.94 Myth Buster: Lincolnshire Model forecasted 70% increase in budget (additional £10.2 m p/a) Council assumed private funders made up 50% of total Providers data estimated market size at 36% (£5.31 m p/a) After Adjustments Private Care spend forecasted at 16% (£2.87 m p/a) of current LA budget Myth Buster: Lincolnshire Model forecasted 70% increase in budget (additional £10.2 m p/a) Council assumed private funders made up 50% of total Providers data estimated market size at 36% (£5.31 m p/a) After Adjustments Private Care spend forecasted at 16% (£2.87 m p/a) of current LA budget

12 Key Indicators: Average Spend per week£167.82 Average length in service105 weeks # of weeks to reach threshold429 weeks People in sample who will reach threshold2 Sample size (of Market)31% Conclusion: Only 2% of service users, currently funding care (in the Borough) will reach the threshold These 6 service users will take 8.2 years to reach the threshold The funding impact (of the Care Act), on the Council, will be £13,000 per annum, from 2023 Conclusion: Only 2% of service users, currently funding care (in the Borough) will reach the threshold These 6 service users will take 8.2 years to reach the threshold The funding impact (of the Care Act), on the Council, will be £13,000 per annum, from 2023 Factors to Consider (outside project scope): Impact from minimum asset value level reached Decline in service user’s health RPI/Inflation Estimated 2% growth in service demand Next Step: How can LAs deal with the legal duty to assess any citizen with a homecare need? Our findings suggest: Managing Demand: Assessments should be ‘light touch’ (preferably on-line, via a Care Account – using support from the current care provider and advocate) Priorities: Those who are, or fall, below Financial threshold need immediate attention/support Private Provider Managed Care Account: should collect spend activity, and only 2% will require an audit (on hitting threshold) Next Step: How can LAs deal with the legal duty to assess any citizen with a homecare need? Our findings suggest: Managing Demand: Assessments should be ‘light touch’ (preferably on-line, via a Care Account – using support from the current care provider and advocate) Priorities: Those who are, or fall, below Financial threshold need immediate attention/support Private Provider Managed Care Account: should collect spend activity, and only 2% will require an audit (on hitting threshold) Findings

13 Big Data: 15 minute visits 25% of visits that were planned as 15 minutes actually resulted in more than 15 minutes care being delivered. 79% of visits that were planned as 30 minutes resulted in a shorter duration of care actually being delivered. Analysis of a snapshot of 1 million anonymised Domiciliary Care visits, from across the Country, in August 2013: Summary: Actual care delivery is more focussed on individuals’ needs by delivering what's needed rather than what's planned. ECM provides evidence when more care is needed (a package needed reviewing) over and above what's commissioned. 15 minute visits over the duration of 24 hours were rarely planned around wake up / get up time, which supports the the ADASS view, that short visits are used for other things such as medication checks.

14 Local/Regional Market Shaping Tool Core Financial Data CQC Provider Data Safeguarding Choices Rating Data CM2000 Kite Rating Health WatchNHS/Health Service Volumes Data Citizen Outcomes Provider Outcomes Monitoring & Management Information Dashboard (Used by Assessment Officers, Commissioners & Directorates) Periodic Provider Data Collection Site Assessment Data Collection

15 Thank you Questions?


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