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Patient Identification Part 2

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British Blood Transfusion Society. Impact of the Problem ... Enables safer workflow between departments. Welsh eMPI. IHC ... Powers local systems safely ... – PowerPoint PPT presentation

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Title: Patient Identification Part 2


1
Patient Identification (Part 2)
29th September 2009
Presenters Dafydd Thomas Mark Thomas
2
NHS Reality
3
NHS Reality
4
Mrs Jones Reality
NHS Reality - MITU
5


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Mrs Jones Utopia
11
The Solution
  • Every patient must be uniquely identified in an
    unambiguous manner.
  • This identification must be tied to all requests,
    medications, procedures, devices etc. applied to
    the patient.

Australian Commission on Safety and Quality in
Healthcare (2008). Technology Solutions to
Patient Misidentification. Report of Review.
12
NPSA Recommendations
  • Use the NHS number as the national patient
    identifier on
  • Patient correspondence
  • Patient notes
  • Patient wristbands
  • Electronic records
  • Educate patients on its use
  • Primary Care organisations to inform new patients
    of their number

13
NHS Number First name Last name DOB Sex
NPSA Standard
14
First name Baby All Last name Thomas gtOne D
OB 21 June 2007 All Sex Male 50 NHS
Number N4Babies
15
The Times Monday 28 September 2009
16
To err is human but to really screw things up
takes a computer
17
Safety System errors Aviation Design
F1 Technology Tescos Human Error/Violatio
n
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The Requirement
  • Identify a patient unambiguously using Gold
    Standard demographic
  • Use identification for all patient related
    activity
  • Link electronic records held in different
    systems, accurately unambiguously

Prerequisite to the development of patient
centric record e.g. Welsh Clinical Portal
24
IHC Projects
  • Duplicate Records Project
  • 5.5m invested from 2004 2008
  • Reduction in duplicate records
  • Reduction in missing NHS numbers

25
Duplicate Records Results
26
IHC Projects
  • Bar code Labelling Project
  • Barcode label printers supplied to GP surgeries
  • Used for Pathology test requests
  • Correct, legible patient information on request
    forms
  • Patient identifiers scanned into hospital systems
    eliminating manual entry

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Labelling Project Results
30
Background
  • Multiple records
  • and identifiers for same patient
  • Separate departmental systems
  • Separate manual (error prone) registration
    processes


(Multiple records and identifiers for same
patient)2
Trust Merger

31
Merger Consequences - ABM
  • 1 Patient with records potentially in
  • 2 PAS
  • 2 Pathology
  • 2 Radiology
  • 2 Theatres
  • 4 Pharmacy Systems...

32
Scale of the Problem - ABMU
  • 2 PAS Duplicate Potential Duplicates
  • iPM
  • 170,000 duplicates
  • 40,000 potential duplicates
  • PIMS
  • 5,000 duplicates
  • Across both PASs
  • 100,000 duplicates
  • 50,000 potential duplicates
  • 1 Person resolving duplicates
  • 3.6 years to resolve potential duplicates
  • 54 years to amalgamate case notes of duplicate
    records

33
Impact of the Problem
  • Clinicians presented with long list of results
    for patients that could be the same
  • 2000 David Jones
  • 25 of Stephen Davies share date of birth with
    another Stephen Davies
  • 15 of records with surname Jones, Davies,
    Williams, Thomas or Evans

34
BBTS into Google
  • British Blood Transfusion Society

35
BBTS into Google
  • Big Bad Toy Store
  • Bethesda by the Sea (Chapel - USA)
  • British Blood Transfusion Society

36
Impact of the Problem
  • Patient information missing (or incorrect) when
    making key clinical decisions
  • Unnecessary tests re-ordered for patients as
    results contained in other unknown records

37
Identification across Wales
  • Identify patients across Wales
  • Regional/National Pathology services
  • Patients moving across boundaries
  • (Welsh) Clinical portal
  • Local identifiers not enough may conflict with
    other organisations identifiers
  • The NHS number is only part of the solution

38
NHS number
  • Unique number for every person registered with a
    GP practice in England and Wales
  • Welsh Demographic Service (WDS) is the master
    store for Wales fed from GP systems
  • Use recommended by NPSA from Sept 09

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NHS number
  • Issues with relying solely on the NHS Number
  • Manually input into disparate clinical systems
  • 814 pathology radiology results where same
    hospital number has gt1 NHS number
  • Not always available - 50,000 records without NHS
    no. in results reporting database
  • Blood Gas Scenario

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Requirements a reminder
  • Link patient based information across different
    departments/organisations (including merged
    organisations)/Primary Care
  • Provide Gold Standard demographic record in
    order to
  • Safely consistently present all relevant
    information to clinicians involved in care

43
Creating the Gold Standard
  • Patient search
  • Consistent process
  • Staff training/awareness
  • Registration obtain NHS no. from WDS in real
    time
  • Batch trace with WDS to ensure full NHS no.
    completeness
  • Utilise automatic address searching tool

44
Creating the Gold Standard 2
  • Amend demographics at PAS level
  • Shared to other systems
  • Up to date demographic available to all
  • No manual entry of numbers
  • Bar coded labels
  • Electronic test requesting

45
eMPI What it does
  • Identifies and automatically links duplicate
    records
  • Identifies potential duplicates
  • Enables potential duplicates to be managed in a
    live environment protecting the Gold Standard
  • Signposts to records in other systems
  • Shares Gold Standard demographics with other
    systems
  • Enables safer workflow between departments

46
Welsh eMPI
  • IHC procuring one common eMPI
  • Will be implemented 6 times in LHBs same
  • Prerequisite to safely identifying patients
    across the PAS, other systems and service
  • Powers local systems safely
  • Powers the WCP - which pulls all the patients
    data based on their ID from the different systems
    into a common view of the record
  • Contract signed November 09

47
eMPI
  • This is only the
  • End of the beginning

48
The Bro Morgannwg MPI
  • MPI linked to PAS and clinical systems
  • Matching algorithm determines definite and
    potential duplicate records
  • Results
  • 45,000 duplicate records reduced to 5,000
    duplicates
  • 40,000 PAS records ( case notes)
    amalgamated/volumes linked
  • 7 potential duplicates (4 definites) identified
    and resolved each day
  • 1 patient, 1 record
  • Gold standard maintained

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Daily Duplicate Registrations
Average 4 per day
51
Key Principles
  • New consistent
  • Standards need to be in place for patient ID
    across all departmental systems
  • Application of these standards requires
    significant changes in departmental workflow
  • Adherence to these standards needs to be
    proactively monitored and assured

52
Key Principles 2
  • Ongoing resource to be allocated
  • Reallocation of resource needed to provide
    sustainable robust patient identification
    processes Safety and Financial Reasons
  • Information must be in real time to maintain gold
    standard and support operational processes

53
The How to Guide
  • Reducing harm as a result of patient
    identification errors
  • Achieving the Gold Standard in patient
    identification

54
Driver Diagram
  • Support front-line staff to reduce the
    opportunity for patient identification errors
  • Develop back room functions to reduce the risk
    of patient identification errors and provide
    clinical staff with a more complete record of care

Page 2
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Process Measures
  • Compliance to searching process
  • Proportion of patients with standardised
    bar-coded wristbands
  • Number of new duplicates created per day

Page 3
56
Outcome Measures
  • Number of cases of harm due to patient
    misidentification errors
  • Number of cases of harm where critical
    information is missed as patient information is
    unlinked across systems

Page 3
57
Driver 1
  • Support front-line staff to reduce the
    opportunity for patient identification errors
  • 6 interventions
  • Redesign patient searching process
  • Redesign patient registration process
  • Redesign birth death notification processes
  • Promote the use of NHS Number as unique patient
    identifier
  • Identify all patients using standardised
    bar-coded wristbands
  • Use NHS Number when requesting tests and other
    services

Page 7
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Driver 2
  • Develop back room functions to reduce the risk
    of patient identification errors and provide
    clinical staff with a more complete record of
    care
  • 7 interventions
  • Implement an Enterprise Master Patient Index
    (EMPI)
  • Identify and resolve potential duplicate and
    duplicate patient records
  • Amalgamate duplicate records
  • Link disparate systems
  • Batch trace NHS Number for existing records
  • Provide a patient-centric view of information
  • Maintain Gold Standard in patient identification

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Appendix 1
  • Achieving change in practice
  • Getting started
  • Use the Model for Improvement
  • Forming the Team
  • Setting Aims
  • Barriers that may be encountered
  • Measurement

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Conclusion
  • Organisations need to review their administrative
    processes and patient identification policies to
    minimise risk of duplicate records
  • An Enterprise Master Patient Index is essential
    to managing patient records safely
  • A successful project has already been completed
    in Wales, so it is possible for other
    organisations to implement similar solutions
  • The 1000Lives Campaign methodology can assist
    organisational teams implement their local
    solutions successfully
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