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Using routine data to plan and assess
service performance: Outputs from the
NWC Connected Health Cities Programme
Tony Marson
Professor of Neurology
Project Partners
Flow of pseudonymised commissioning datasets
Healthcare Data Laboratory NWC CHC Data Ark – (Trusted Research Environment) Pan-NWC DSCRO Data
(inc all APC, A& E and OPD admissions for NWC all providers)
Data ark and trusted researcher environment
Identifying cohorts and demand
Professor Tony Marson; Clinical Lead NWC CHC 21.06.2017
Standard approach: ARLD-Primary
Clinical approach: ARLD-Algorithm
1,667
3,060
= ARLD-Primary x 183%
Cheshire, Lancs. and Merseyside
Emergency Admissions 2016/17
Acute Beds
Patient pathways
Professor Tony Marson; Clinical Lead NWC CHC 21.06.2017
• 9000 attendances
• Wide variability across sites
• <50% first seizures referred to a
seizure clinic
• < 50% of ‘known epilepsy’ under
active follow up
• Inadequate assessments in
emergency departments
National Audit of Seizure Management in Hospitals 2011 & 2013
Implement a simple pathway….....
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
30 60 90 120 150 180 210 240 270 300 330 361
%receivingoutpatientappointment
Days to clinic
Days to Outpatient Appointment
Aintree Known
Aintree not Known
Chester Known
Chester not Known
East Cheshire Known
East Cheshire not Known
Mid Cheshire Known
Mid Cheshire not Known
RLBUHT Known
RLBUHT not Known
Southport Known
Southport not Known
Warrington Known
Warrington not Known
Whiston Known
Whiston not Known
Wirral Known
Wirral not Known
Known
Not known
Time to neurology appointment
Proportion with appointment within 3 months
With nurse support Without nurse support
Conclusions
• NWC CHC Data ark up an running with administrative data
• Algorithms developed to reliably identify cohorts
• Must have clinical credibility
• Service performance can be assessed with 3 month data lag
• Geographical mapping can help focus services
• This work scalable nationally
• Analysis of linked datasets planned and will add considerable
depth

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Tony Marson - ECO 15: Digital connectivity in healthcare

  • 1. Using routine data to plan and assess service performance: Outputs from the NWC Connected Health Cities Programme Tony Marson Professor of Neurology
  • 3. Flow of pseudonymised commissioning datasets Healthcare Data Laboratory NWC CHC Data Ark – (Trusted Research Environment) Pan-NWC DSCRO Data (inc all APC, A& E and OPD admissions for NWC all providers)
  • 4. Data ark and trusted researcher environment
  • 5. Identifying cohorts and demand Professor Tony Marson; Clinical Lead NWC CHC 21.06.2017
  • 6. Standard approach: ARLD-Primary Clinical approach: ARLD-Algorithm 1,667 3,060 = ARLD-Primary x 183% Cheshire, Lancs. and Merseyside Emergency Admissions 2016/17
  • 8.
  • 9.
  • 10.
  • 11. Patient pathways Professor Tony Marson; Clinical Lead NWC CHC 21.06.2017
  • 12. • 9000 attendances • Wide variability across sites • <50% first seizures referred to a seizure clinic • < 50% of ‘known epilepsy’ under active follow up • Inadequate assessments in emergency departments National Audit of Seizure Management in Hospitals 2011 & 2013
  • 13. Implement a simple pathway….....
  • 14.
  • 15. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 30 60 90 120 150 180 210 240 270 300 330 361 %receivingoutpatientappointment Days to clinic Days to Outpatient Appointment Aintree Known Aintree not Known Chester Known Chester not Known East Cheshire Known East Cheshire not Known Mid Cheshire Known Mid Cheshire not Known RLBUHT Known RLBUHT not Known Southport Known Southport not Known Warrington Known Warrington not Known Whiston Known Whiston not Known Wirral Known Wirral not Known Known Not known
  • 16. Time to neurology appointment
  • 17.
  • 18.
  • 19. Proportion with appointment within 3 months With nurse support Without nurse support
  • 20.
  • 21. Conclusions • NWC CHC Data ark up an running with administrative data • Algorithms developed to reliably identify cohorts • Must have clinical credibility • Service performance can be assessed with 3 month data lag • Geographical mapping can help focus services • This work scalable nationally • Analysis of linked datasets planned and will add considerable depth