Safe Haven in a Box, Petros Papapanagiotou
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This document provides an overview of a project to analyze and improve processes for Safe Haven In a Box. It describes the current architecture which involves different levels of administrative and health data. The proposed architecture includes components for data integration, knowledge integration, visualization, and business modeling. It also details the results of a process mapping study including time surveys, roles, stages, and a high level workflow. Areas for potential process improvement are identified in knowledge management, operations, and integration.
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Safe Haven in a Box, Petros Papapanagiotou
- 1. Safe Haven In a Box Project Overview AS-IS Process Analysis Petros Papapanagiotou presented at SOCIAM all-hands, Oxford, 18-21 September 2017
- 3. Level 4 Administrative data (e.g., housing, education, local authority) Level 3 Health Board data x 14 regions Level 2 NSS data beyond the 10 datasets Level 1 NSH 10 datasets Datasets by location
- 4. Proposed architecture Visualisation Data integration Data provision Knowledge integration entity integration Knowledge Base Entity Base (Hub) knowledge integration Spoke spoke visualisation knowledge management import query import search, query import project data preparation query CSV conversion DCAT CSV Spoke import DCAT MySQL DB CSV data extraction standards, conven- tions Processes Infrastructure and Deployment Business Model
- 5. WP1 Specification WP2 Knowledge WP3 Data integration and storage WP5 Analytics and visualization WP6 Deployment WP4 Process W7 Business model
- 6. WP1 Specification WP2 Knowledge WP3 Data integration and storage WP5 Analytics and visualization WP6 Deployment WP4 Process W7 Business model
- 7. WP1 Specification WP2 Knowledge WP3 Data integration and storage WP5 Analytics and visualization WP6 Deployment WP4 Process AS-IS TO-BE W7 Business model ✔
- 8. Business analysis – Process mapping • Interviews w/ 4 eDRIS members • Documents: • SOP, checklists, process maps, guidelines • Iterative BPMN Workflow modelling • Different levels: 1 1 10 25 workflows • Survey • Report
- 10. Stakeholders Researcher Organisation Data Provider Safe Haven (EPCC) Public Benefit and Privacy Panel for Health and Social Care (PBPP) Indexing Team
- 11. Stages Scoping Preparation Study Archive Data Extraction Advice + Approvals Analysis + Disclosure
- 13. Timings survey Step eDRIS Work Time Total Time Min Max Min Max Triage ??? ??? ??? ??? Request ??? ??? ??? ??? Check Approved Researcher ??? ??? ??? ??? Approvals ??? ??? ??? ??? Request Data Extraction ??? ??? ??? ??? Extract Data ??? ??? ??? ??? Indexing ??? ??? ??? ??? Sign Agreements ??? ??? ??? ??? Request Study Setup ??? ??? ??? ??? Linkage Process ??? ??? ??? ??? Analysis ??? ??? ??? ??? Disclosure ??? ??? ??? ??? Archive ??? ??? ??? ??? Return from Archive ??? ??? ??? ??? Study Closure ??? ??? ??? ??? (results redacted pending approval for public disclosure)
- 14. Timings survey • 11 responses across eDRIS • Total time to data: 20 days – 5.5 years • Extreme cases – include Researcher delays • 4 – 50 days worth of eDRIS work • Half on Request and Data Extraction
- 15. Timings survey Max eDRIS Work Time Max Total Time Triage 4% Request 15% Check Approved Researcher 15% Approvals 7% Request Data Extraction 4% Extract Data 6% Indexing 1% Sign Agreements 1% Request Study Setup 0% Linkage Process 1% Analysis 45% Disclosure 1% Archive 0% Return from Archive 0% Study Closure 0% Triage 2% Request 31% Check Approved Researcher 0%Approvals 11% Request Data Extraction 0% Extract Data 21% Indexing 2% Sign Agreements 2% Reque st Study Setup 0% Linkage Process 11% Analysis 10% Disclosure 10% Archive 0% Return from Archive 0% Study Closure 0%
- 16. Process Improvement Knowledge Management • Dataset Schemata • Cohorts • Synthetic data • Query Formalisation • Data Extraction • External Data • Data Verification • Disclosure Verification Operation • Documentation • Supportive Documents • Tracking & Reminders • Auditing • Workflow Automation Integration • Cost Estimation • Redundant Specifications • PBPP Integration • Version Control
- 17. Process Improvement Knowledge Management • Dataset Schemata • Cohorts • Synthetic data • Query Formalisation • Data Extraction • External Data • Data Verification • Disclosure Verification Operation • Documentation • Supportive Documents • Tracking & Reminders • Auditing • Workflow Automation Integration • Cost Estimation • Redundant Specifications • PBPP Integration • Version Control
- 18. Coming up… • Validation with higher-ups • Communication across team • Dissemination • TO-BE model