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Medical Clinic

Data Protection & Data Quality Review
Agenda
• Background and Overview
• Summary of Report Findings
  –   Maturity Ranking
  –   The Good (Things to be commended)
  –   The Bad (Issues causing concern)
  –   The Ugly (Serious Compliance
      issues/risks)
• Recommendations
BACKGROUND & OVERVIEW
Context
• Data Protection Compliance = Risk
  – Risk to Trust
  – Risk to Revenue
  – Risk to Brand
• Data Quality Issues = Cost + Risk
  – Risk of wrong treatment
  – Risk of underutilised resources
  – Cost of checking and rechecking data
The Methodology
Face to Face Qualitative Interviews


Observations made while on-site



Research & Review of Best Practice
THE FINDINGS
Summary of Findings

Some good things found.



12 areas of concern/weakness



6 critical risks to Compliance found
Maturity Assessment
                                               Value Centric Management
                           Optimising          State of the Art Practices & Outcomes



                                               Information Value quantified and
                                               communicated
                            Advanced           Practices and outcomes well above
                                               industry average

                                               Interactions formalised for critical
                                               processes
Data Protection Target     Intermediate        Transparent Investment Decisions




                                              Basic IT Services being delivered
                              Basic           Some interactions/processes formalised




Data Protection Maturity                       No formal processes
                              Initial          Ad hoc Management


                                          Based on IVI IT-CMF framework
CRITICAL RISKS


   Data Controller (??)




   Data Processor (??)
Critical Risks


   Patient file: Mr Smith




• Patient data being transferred by email without
  encryption/security
• Email forwarding to external services a concern
CRITICAL RISK




No defined Data Security Breach Process
CRITICAL RISK


     Personal and Sensitive
     Personal data being
     managed and transferred in
     Spreadsheets
CRITICAL RISK


    Little or no segregation of
    inbound and outbound patient
    data
CRITICAL RISK




Registry Entry for Hospital with DPC is inaccurate
Compliance Issues

            Classification/Categorisation of Information




No Formal Governance framework for Data



            Policies/Procedures/Process
            • Absent or poorly defined
            • May not reflect DP Obligations
Compliance Issues
   No training in Data Protection
   No consistency in formal training in
   systems – a lot of ‘informal’ learning



   The absence of “role based” access to
   personal data in systems is a concern
Compliance Issues
       No verifiable evidence of good behaviours
       being followed



No formal or consistent “Leavers/Movers”
process to restrict access to records


        CCTV Signage does not meet DPA
        requirements
12 STEP PROGRAMME
12 Step Plan
 Governance & Policy
       Issues




                                Training and Awareness




Technical & Technology
        Issues
Governance Issues
    Formalise Data
    Controller/Data
Processor Relationships

                                 Implement formal
  Define appropriate         Information Governance
 Policies, Procedures &
         Metrics
                             Review appropriateness
                              of email forwarding.
  Define Leaver/Movers         Define clear policy
process to encompass all
systems and manual data
                             Conduct Audit of Manual
                              Data Storage/Disposal
     Review existing          (Clean Desk Policies)
  Disclosure policies to
      ensure DPA
   requirements met.
Technology Issues
 Implement Role based
access to electronic data
    (where possible)


                             Implement Segregation
                              between “Data In” and
                                   “Data Out”
     Inspect Data
   Redundancy (e.g.
    Spreadsheets)
Assess need and secure


                                 Review existing
                              Disclosure policies to
                                  ensure DPA
                               requirements met.
Training & Awareness Issues
                Implement Training on
                 DP/DQ to key target
                     audiences




     Coupled with the roll out and implementation of Training,
     we would recommend that supporting activities be
     developed to help make culture change stick e.g.:

     • “Story” development to lock in the learning
     • Internal Communication plans
     • Continuous Improvement
SAMPLE GOVERNANCE
MODELS
Governance Model 1
                                     Advisory

                                          External
                                           Expert
                 Chair

                      CEO
   Consultants        (DPO)

                                                     HR
   IT
          Information Governance
  Bus
               Steering Group                    Patient
                                                  Svcs
  Apps

           JCI     Nursing    Radiology       Finance
Governance Model 2

                     Chair

                     External
         CEO          Expert
                                         Consultants
        (DPO)


                                                  HR
   IT
            Information Governance
  Bus
                 Steering Group                 Patient
                                                 Svcs
  Apps

            JCI   Nursing    Radiology       Finance
Governance Model 3
        External
         Expert




                                    Bus
                                    Apps              Consultants
                                   (DPO)
                     IT
                                                                  HR
                            Information Governance
                   CEO
                                 Steering Group               Patient
                                                               Svcs


                          JCI   Nursing   Radiology     Finance




 Effective Model for Project Management
Least Preferred Option for on-going Governance
Evolving from Excellent Project
     to Effective Governance



       Project
     Governance



Governance Model 1   Governance Model 2      Governance Model 3


 Project Execution   Transition & Bed-in   Operational & Effective
Summary
1. Ensure all staff know WHAT needs to be done
  – (Policies, Procedures & Training)
2. Ensure all staff know WHY it needs to be done
  – (Culture change, align with values)
3. Ensure all staff know HOW it needs to be done
  – Governance, Policies, Training)
4. Ensure all staff know WHO is doing it
  – (Governance, Policies, Contractual issues)
5. Ensure the Clinic can demonstrate THAT IT HAS been
   done
   – (Metrics, Governance, Reporting)
In conclusion....
                     Best efforts are essential.

                     Unfortunately, best efforts, people
                     charging this way and that way
                     without the guidance of principles,
                     can do a lot of damage.

W. Edwards Deming    Think of the chaos that would come
 Out of the Crisis
                     if everyone did his best, not
                     knowing what to do.

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Medical Clinic - Daragh O Brien

  • 1. Medical Clinic Data Protection & Data Quality Review
  • 2. Agenda • Background and Overview • Summary of Report Findings – Maturity Ranking – The Good (Things to be commended) – The Bad (Issues causing concern) – The Ugly (Serious Compliance issues/risks) • Recommendations
  • 4. Context • Data Protection Compliance = Risk – Risk to Trust – Risk to Revenue – Risk to Brand • Data Quality Issues = Cost + Risk – Risk of wrong treatment – Risk of underutilised resources – Cost of checking and rechecking data
  • 5. The Methodology Face to Face Qualitative Interviews Observations made while on-site Research & Review of Best Practice
  • 7. Summary of Findings Some good things found. 12 areas of concern/weakness 6 critical risks to Compliance found
  • 8. Maturity Assessment Value Centric Management Optimising State of the Art Practices & Outcomes Information Value quantified and communicated Advanced Practices and outcomes well above industry average Interactions formalised for critical processes Data Protection Target Intermediate Transparent Investment Decisions Basic IT Services being delivered Basic Some interactions/processes formalised Data Protection Maturity No formal processes Initial Ad hoc Management Based on IVI IT-CMF framework
  • 9. CRITICAL RISKS Data Controller (??) Data Processor (??)
  • 10. Critical Risks Patient file: Mr Smith • Patient data being transferred by email without encryption/security • Email forwarding to external services a concern
  • 11. CRITICAL RISK No defined Data Security Breach Process
  • 12. CRITICAL RISK Personal and Sensitive Personal data being managed and transferred in Spreadsheets
  • 13. CRITICAL RISK Little or no segregation of inbound and outbound patient data
  • 14. CRITICAL RISK Registry Entry for Hospital with DPC is inaccurate
  • 15. Compliance Issues Classification/Categorisation of Information No Formal Governance framework for Data Policies/Procedures/Process • Absent or poorly defined • May not reflect DP Obligations
  • 16. Compliance Issues No training in Data Protection No consistency in formal training in systems – a lot of ‘informal’ learning The absence of “role based” access to personal data in systems is a concern
  • 17. Compliance Issues No verifiable evidence of good behaviours being followed No formal or consistent “Leavers/Movers” process to restrict access to records CCTV Signage does not meet DPA requirements
  • 19. 12 Step Plan Governance & Policy Issues Training and Awareness Technical & Technology Issues
  • 20. Governance Issues Formalise Data Controller/Data Processor Relationships Implement formal Define appropriate Information Governance Policies, Procedures & Metrics Review appropriateness of email forwarding. Define Leaver/Movers Define clear policy process to encompass all systems and manual data Conduct Audit of Manual Data Storage/Disposal Review existing (Clean Desk Policies) Disclosure policies to ensure DPA requirements met.
  • 21. Technology Issues Implement Role based access to electronic data (where possible) Implement Segregation between “Data In” and “Data Out” Inspect Data Redundancy (e.g. Spreadsheets) Assess need and secure Review existing Disclosure policies to ensure DPA requirements met.
  • 22. Training & Awareness Issues Implement Training on DP/DQ to key target audiences Coupled with the roll out and implementation of Training, we would recommend that supporting activities be developed to help make culture change stick e.g.: • “Story” development to lock in the learning • Internal Communication plans • Continuous Improvement
  • 24. Governance Model 1 Advisory External Expert Chair CEO Consultants (DPO) HR IT Information Governance Bus Steering Group Patient Svcs Apps JCI Nursing Radiology Finance
  • 25. Governance Model 2 Chair External CEO Expert Consultants (DPO) HR IT Information Governance Bus Steering Group Patient Svcs Apps JCI Nursing Radiology Finance
  • 26. Governance Model 3 External Expert Bus Apps Consultants (DPO) IT HR Information Governance CEO Steering Group Patient Svcs JCI Nursing Radiology Finance Effective Model for Project Management Least Preferred Option for on-going Governance
  • 27. Evolving from Excellent Project to Effective Governance Project Governance Governance Model 1 Governance Model 2 Governance Model 3 Project Execution Transition & Bed-in Operational & Effective
  • 28. Summary 1. Ensure all staff know WHAT needs to be done – (Policies, Procedures & Training) 2. Ensure all staff know WHY it needs to be done – (Culture change, align with values) 3. Ensure all staff know HOW it needs to be done – Governance, Policies, Training) 4. Ensure all staff know WHO is doing it – (Governance, Policies, Contractual issues) 5. Ensure the Clinic can demonstrate THAT IT HAS been done – (Metrics, Governance, Reporting)
  • 29. In conclusion.... Best efforts are essential. Unfortunately, best efforts, people charging this way and that way without the guidance of principles, can do a lot of damage. W. Edwards Deming Think of the chaos that would come Out of the Crisis if everyone did his best, not knowing what to do.

Notas del editor

  1. One point to make here is that by reaching the DP target, SSC would likely be considered “Advanced” in the Healthcare context because of the generally poor standards that exist in Irish Healthcare sector.The improved governance of Information will contribute to improvements in data quality as a by-product of care and attention.
  2. This is akin to not having a fire drill and not having a hygiene policy. A process must be defined that ensures the organisation not only can tick the box of having a policy but can effectively execute the process and procedures should an incident happen.You do not wait for a fire before figuring out how to evacuate the building and who is responsible for doing what.
  3. Policies, Procedures, Metrics and Evidence are very important and will align with objectives under other Quality Assurance criteria.