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Systems to support Medicines Reconciliation at TDHB Taranaki District Health Board HIQ Limited HINZ October 2009
Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Introductions ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],TDHB Medication Reconciliation - Goals
The medication reconciliation system ,[object Object],[object Object],[object Object],[object Object],[object Object]
TDHB ePharmacy Strategy 2008 ,[object Object],[object Object],[object Object],[object Object]
ePharmacy Strategy - Vision ,[object Object],[object Object],[object Object],[object Object]
ePharmacy Strategy - Roadmap ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
TDHB ePharmacy Conceptual Architecture 2008
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],TDHB New Hospital Build
Key Principles for IS/IT in New Hospital Build ,[object Object],[object Object],[object Object],[object Object]
Where it can go wrong Bates D, Cullen D, Laird N, Peterson L, Small S, Servi D, et al. Incidence of Adverse Drug Events and Potential Adverse Drug Events. JAMA 1995; 274(1):29-34. - eAdministration  - Bar code at point  of care (BPOC) - Robotics automation - Bar coding - Automated dispensing  - System  interoperability - Medicine Reconciliation - ePrescribing - Decision Support Intervention - Wrong patient - Wrong medication - Wrong dose - Wrong route - Wrong time - Missed doses - Look alike - Sound alike - Wrong medication - Wrong dose - Wrong medication - Wrong dose -  Incomplete list - Wrong medication - Wrong dose - Wrong route -  Wrong time   - Illegible writing - Wrong patient - Contraindications - Wrong medication - Wrong dose Type of error 26% 14% 11% 49% Percentage of Error Administering Dispensing Transcribing Prescribing Process Medication Errors – Percentage, Type and Intervention
[object Object],[object Object],[object Object],Benefits Analysis
ADE Reduction – Length of Stay ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Community ADE Admission Reduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Workflow during Clerking / Admission ,[object Object],[object Object],[object Object]
Workflow during inpatient stay ,[object Object],[object Object]
Workflow during Discharge ,[object Object],[object Object]
[object Object],[object Object],EDS Integration
Med Rec System – Impact to Primary Care ,[object Object],[object Object],[object Object]
Med Rec System – Impact to Patients ,[object Object],[object Object]
Benefit Example – Yellow Card production ,[object Object],[object Object],[object Object],[object Object]
Benefits Example – Transcription Error Reduction ,[object Object],[object Object],[object Object],[object Object]
Benefit Example – Medication Changes Summary ,[object Object],[object Object],[object Object],[object Object]
Project Governance - Steering Group ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Consulted Clinicians ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Project Highlights to Date ,[object Object],[object Object],[object Object],[object Object]
Med Rec Pilot Major Benefits to SMM programme ,[object Object],[object Object],[object Object],[object Object]
Relationship to Otago project ,[object Object],[object Object]
Thank you ,[object Object],[object Object],[object Object]

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Systems to Support Medicines Reconciliation at TDHB

  • 1. Systems to support Medicines Reconciliation at TDHB Taranaki District Health Board HIQ Limited HINZ October 2009
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  • 9. TDHB ePharmacy Conceptual Architecture 2008
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  • 12. Where it can go wrong Bates D, Cullen D, Laird N, Peterson L, Small S, Servi D, et al. Incidence of Adverse Drug Events and Potential Adverse Drug Events. JAMA 1995; 274(1):29-34. - eAdministration - Bar code at point of care (BPOC) - Robotics automation - Bar coding - Automated dispensing - System interoperability - Medicine Reconciliation - ePrescribing - Decision Support Intervention - Wrong patient - Wrong medication - Wrong dose - Wrong route - Wrong time - Missed doses - Look alike - Sound alike - Wrong medication - Wrong dose - Wrong medication - Wrong dose - Incomplete list - Wrong medication - Wrong dose - Wrong route - Wrong time - Illegible writing - Wrong patient - Contraindications - Wrong medication - Wrong dose Type of error 26% 14% 11% 49% Percentage of Error Administering Dispensing Transcribing Prescribing Process Medication Errors – Percentage, Type and Intervention
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