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Analytical Support for Neonatology, Paediatric Medicine, and Paediatric Surgery

WMQI workshop led by Dr. Yomi-Adeleke, focused on developing analytical support for neonatology, paediatric medicine, and paediatric surgery. Metrics created using Badger dataset for 4 trusts, with ongoing work to improve pathway analyses by combining other mainstream datasets. Primary data source is HES for creating metrics in sub-specialties like epilepsy, diabetes, lower respiratory tract infections, and asthma. Also focusing on unplanned re-attendances and DNA rates in outpatients.

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Analytical Support for Neonatology, Paediatric Medicine, and Paediatric Surgery

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  1. WMQI ,PIP WORKSHOP Dr Yomi-Adeleke

  2. WMQI ANALYTICAL SUPPORT FOR PIP • Broadly divided into 3 Areas • Neonatology • Paediatric Medicine • Paediatric Surgery • Metrics are clinically led and research driven • Focuses on best practice

  3. Neonatology • Badger dataset is used to create metrics • Currently have access to data for 4 trusts • Currently working on • Discharged home on oxygen • NEC with surgery • ROP with surgery • Working on combining badger data with other mainstream dataset to improve pathway analyses

  4. Neonatology Draft Output

  5. Paediatric Medicine • Hospital episode statistics HES is the primary data source • Metric creation is along the sub specialties and over arching themes • Current work includes • Epilepsy • Diabetes • Lower Respiratory Tract Infections • Asthma metric • Unplanned re-attendance at A&E • DNA rates in outpatients

  6. Paediatric Medicine Draft Output ( Unplanned Re-attendances )

  7. Paediatric Medicine Draft Output ( DNA Rates)

  8. Paediatric Medicine Draft Output (Asthma Emergency Admission rates)

  9. Paediatric Medicine Draft Output (Asthma Emergency Admission rates/1000 admissions)

  10. Paediatric Medicine Draft Output (Readmission rates)

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