1 / 40

Dr Stefano Passani Associate Health Management Director Dendrite Clinical Systems Ltd stefano.passani@e-dendrite.com Cli

Dr Stefano Passani Associate Health Management Director Dendrite Clinical Systems Ltd stefano.passani@e-dendrite.com Clinical Outcomes Measurement. Agenda – Measuring Clinical Outcomes 1. Benefits of Measuring Outcomes 2. Who is Dendrite? 3. National Registry Track Record

truman
Download Presentation

Dr Stefano Passani Associate Health Management Director Dendrite Clinical Systems Ltd stefano.passani@e-dendrite.com Cli

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Dr Stefano Passani Associate Health Management Director Dendrite Clinical Systems Ltd stefano.passani@e-dendrite.com Clinical Outcomes Measurement

  2. Agenda – Measuring Clinical Outcomes • 1. Benefits of Measuring Outcomes • 2. Who is Dendrite? • 3. National Registry Track Record • 4. Benefits of a National Registry • 5. Dendrite “Mechanism” for a National Registry • 6. Questions & Answers

  3. Benefits of Measuring Outcomes • Providing Aggregate Trend Data and Variance Analysis • Develop Risk Stratification Models • Benchmark Outcomes Against National Standards Adjusting for Co-morbidity, Casemix and Risk Stratification • Monitor Outcomes of Trainees • Follow-up medium & long term outcome of care • Provide a New Model for Internal & External Negotiations • Guide Clinical Practice Towards Best Outcome

  4. How to Motivate Data Collection? • Build Data Collection into Daily Work • Data Collection Must be Prospective: collect as you go: clinical care process mapping • Build in Benefits to Data Collection • Automated Clinical Admin. Reports • Automated Audit • Enhanced Decision Making • Comparative Analysis • Automated Log Books Dendrite Clinical Systems Ltd

  5. Caveats • Accuracy – Completeness - Gaming • “My patients are always the sickest” • “Transfers with unknown outcomes” • Problems with Objectivity • e.g. Measuring Pain Levels • Observer Bias! • Problems with Interpretation • Dataset Definitions e.g. When is a Death a Death? - the 30 day rule Dendrite Clinical Systems Ltd

  6. 2. Who is Dendrite? • Private British Medical Software Company • 10th Year of Trading • Supplier of Clinical Information Systems for Hospitals • > 250 Hospitals in 28 Countries • > 100 Hospitals in the UK (NHS & Private) • Supplier of National Registry Software • > 35 National & International Registries (in particular interventions, device registries & rare diseases) • Specialist in Risk Modelling Consultancy & Comparative Outcome Analysis Reporting • Medical Publisher • National Registry Reports

  7. 2. Who is Dendrite? • Private British Medical Software Company • 10th Year of Trading • Supplier of Clinical Information Systems for Hospitals • > 250 Hospitals in 28 Countries • > 100 Hospitals in the UK • Supplier of National Registry Software • > 35 National & International Registries (in particular interventions, device registries & rare diseases) • Specialist in Risk Modelling Consultancy & • Comparative Outcome Analysis Reporting • Medical Publisher • National Registry Reports

  8. 3. National Registry Track Record Cardiothoracic Surgery • Data Harvest • Data Import • Data Merge • Data Analysis • Risk Modelling • Report Production “The most comprehensive documentation available in the UK on Cardiac Surgery” Dr Roger Boyle (National Director for Heart Disease)

  9. 3. National Registry Track Record Vascular Surgery • Data Harvest • Data Import • Data Merge • Data Analysis • Risk Modelling • Report Production Now on 3rd Report – published in April 2003

  10. 3. National Registry Track Record Interventional Radiology • Data Harvest • Data Import • Data Merge • Data Analysis • Risk Modelling • Report Production 1st Report on Iliac Angioplasty 2nd Report due on Oesophageal Stents Inserted by Radiologists

  11. 3. National Registry Track Record Coloproctology • 1st Report was a reworking of existing data collected at the Royal College of Surgeons. • Dendrite Imported the Data, ran new analyses & constructed Bayes risk stratification models. From next Year Dendrite will be providing the central registry data harvest and analysis service.

  12. 3. National Registry Track Record Illustrative not Definitive • Limited Data • Not National • No External Data Validation • Limited Analysis But it does demonstrate: • Dendrite’s Merge Capability Dendrite/ASCOT/Access Data • Some Useful Analyses • Early Risk Modelling • The Overall Process Works!

  13. 3. National Registry Track Record Other Examples of Regional, National & International Registries that use Dendrite Software: • Neurosurgery CSF Shunt Registry (Addenbrooke’s) • UK Heart Valve Registry (Hammersmith) • West Midlands Intensive Care Registry (QE Birmingham) • European Sickle Cell Registry (Central Middlesex) • UK Gaucher’s Disease Registry (Addenbrooke’s) • Czech Republic National Renal Transplant Registry (Prague) • South West London Vascular Network Registry (St George’s) • National VTE Treatment Registry (Aventis Pharma)

  14. 3. National Registry: the lessons learned so far… Population-based, longitudinal study-ies, including big numbers which allow relatively quick assembly of risk models with weighting of risk factors. Risk – adjustment methodologies allow the true comparison of Departments’ work across the board Migrating risk- adjustment methods from one to an other clinical areas is safe

  15. PATS Database Structure Clinical History & Examination Investigations Treatment/Operations Outcomes - Morbidity/Mortality Collect Clinical Data Enter Data into Database Analyse & Data and Produce Automated Audit Reports Core Data National & International Clinical Registries Correspond Core Data to Internal Database Risk Models

  16. PATS Database Structure PAS Labs PATS Database Patient Demographic Information PAS-Link ORIC Lung Cancer Registry Breast Cancer Registry Follow-Up Follow-Up Follow-Up Follow-Up Follow-Up Follow-Up

  17. Economies of Scale Cardiac Surgery Neuro Surgery Surgical Oncology Diabetes

  18. Data Capture & Data Entry Options Dynamic Data Exchange Links to/from 3rd Party Databases Using ODBC and/or HL7 Protocol Optical Character Recognition Fax/Scanner Local Keyboard Terminal Wireless Touch Screen Device

  19. The PATS Spectrum of Use • Uses:- • Clinical Workstation / Automated Reports • PAS & Images-Result Database - Link • Data Analysis / Audit Reports / Outcome Tracking • Quality Assurance / TQM / Runs Analysis • Risk Stratification / Severity Scoring • Clinical Care Path Variance Analysis • Critical Incident Tracking / Risk Management • Decision Analysis at the Point-of-Care • Benchmarking Performance against National Standards • Clinical Governance

  20. 4. National Registry Key Benefits • Trend Analysis

  21. 4. National Registry Key Benefits • Trend Analysis

  22. 4. National Registry Key Benefits • Trend Analysis

  23. 4. National Registry Key Benefits • Trend Analysis

  24. 4. National Registry Key Benefits • Trend Analysis • Provides an Observational Record of Demographic Changes • Empowers Discussions with Government & Commissioners of Care • Provides a Benchmark for Outcomes

  25. 4. National Registry Key Benefits • Risk Stratification Modelling Age 61-65 years Body Surface Area 1.70-1.89 m2 Ejection fraction Good Priority Elective Previous operations None

  26. Select From the Risk Factor List 4. National Registry Key Benefits • Risk Stratification Modelling Age 61-65 years Body Surface Area 1.70-1.89 m2 Ejection fraction Good Priority Elective Previous operations None

  27. See the Outcome Prediction with Confidence Limits 4. National Registry Key Benefits • Risk Stratification Modelling Age 61-65 years Body Surface Area 1.70-1.89 m2 Ejection fraction Good Priority Elective Previous operations None

  28. Patient Risk Factor Profile is Summarised Here 4. National Registry Key Benefits • Risk Stratification Modelling Age 61-65 years Body Surface Area 1.70-1.89 m2 Ejection fraction Good Priority Elective Previous operations None

  29. 4. National Registry Key Benefits • Risk Stratification Modelling • Point-of-Care Decision Support • Improved Assessment of Risks for Patient Consent

  30. 5. National Registry Benefits • Risk Stratification Modelling • Point-of-Care Decision Support • Improved Assessment of Risks for Patient Consent • Single Page Appraisal of Performance Reports: Actual Outcome v. Risk Adjusted Expected Outcome per Procedure Type

  31. 4. National Registry Benefits CHI Perspective – Clinical Governance Review “Vascular services take part in the national pilot database, which provides risk adjusted outcome information. There is a desire within the Trust to utilise a system such as this for the whole organisation. CHI would encourage the Trust to take these steps” June 2002

  32. 4. National Registry Key Benefits • Risk Stratification Modelling • Point-of-Care Decision Support • Improved Assessment of Risks for Patient Consent • Single Page Appraisal of Performance • Allows for Proper Prospective Audit, to Compare Observed Actual Outcome with Expected Risk Stratified Outcome over Time - CUSUM:

  33. 4. National Registry Key Benefits • Risk Stratification Modelling • Point-of-Care Decision Support • Improved Assessment of Risks for Patient Consent • Single Page Appraisal of Performance • Allows for Proper Prospective Audit, to Compare Observed Actual Outcome with Expected Risk Stratified Outcome over Time - CUSUM + C.I.s:

  34. 5. Dendrite Mechanism for National Database

  35. 5. Dendrite Mechanism for National Database Step 1: Harvest Data

  36. 5. Dendrite Mechanism for National Database Step 1: Harvest Data Step 2. Import Data to create “interim” databases

  37. 5. Dendrite Mechanism for National Database Step 1: Harvest Data Step 2. Import Data to create “interim” databases Step 3. Correspond, run Validation Checks for Data Consistency and Merge Data

  38. 5. Dendrite Mechanism for National Database Step 1: Harvest Data Step 2. Import Data to create “interim” databases Step 3. Correspond, run Validation Checks for Data Consistency and Merge Data Step 4. Data Analysis, Outcome Analysis & Risk Modelling

  39. Thank you Questions Please

  40. £ 6.Spectrum of Database Systems Available for Hospitals High Low Dendrite Fully Flexible  Multi-specialty  PAS Links  Lab Links  Data Analysis  Outcome Analysis  Risk Modelling  Other Proprietary Semi Rigid Database Multi-specialty ?? PAS Links Lab Links ?? No Analysis No Outcome Analysis No Risk Modelling MS Access - BASO Rigid Database Single Specialty PAS Links ?? No Data Analysis No Outcome Analysis No Risk Modelling

More Related