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Pathology messaging: a view from general practice

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... (Egton Medical Information Systems) is the commonest used ... audit for my practice comparing Total and LDL-cholesterol ... are of enormous value to GPs ... – PowerPoint PPT presentation

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Title: Pathology messaging: a view from general practice


1
Pathology messaginga view from general practice
  • Simon de Lusignan
  • GP Woodbridge Hill Surgery
  • Senior Lecture St Georges London

2
Overview
  • Why?
  • How?
  • Use of data in clinical audit
  • What next?

3
Rationale for pathology messaging
  • Volume of data
  • Reduction in errors
  • Information about normal ranges or actions
  • Trends can be identified in the consultation
  • Data for audit

4
Why
  • Problems with the volume of data coming into
    practices

5
Why - 2
  • Manual data entry is expensive and liable to
    result in errors

6
Why - 3
  • Scanning of data only transfers text

7
Why - 4
  • Information about whether tests are normal

8
Why - 5
  • Trends in data can be visualised in the
    consultation

9
Why - 6
  • Use data for clinical audit

10
How
  • Not all clinical systems are the same
  • Examples of the process from
  • EMIS (Egton Medical Information Systems) is the
    commonest used in the UK
  • Torex Synergy, another example

11
How -2 The list of tests
12
How 3 select a test
13
How 4 File them one by one
14
How 5 Choose a comment to insert
15
How 6 The comment that will appear in the
medical record
16
How 7 Example of normal ranges
17
How 8 A microbiology result spreads over three
pages, only one is useful!
18
How 9 The useful page
19
How 10 Page 3!
20
How 11 Custom messages can be added
21
How 12 It is possible to navigate to other parts
of the record using the transfer function key
22
How with Torex Synergy
23
How with Torex - 2
Principal difference is that Torex is a POMR
(Problem Orientated Medial record and the
results are linked to the medical problem
24
Using data for clinical audit
  • Examples
  • 1. Instant cholesterol audit for my practice
    comparing Total and LDL-cholesterol for November
    and June in the whole population, and patients
    with CHD
  • 2. Renal data more sophisticated analysis!

25
Before
After
Total cholesterol
Total cholesterol
Before
After
LDL cholesterol
LDL cholesterol
26
Before
After
Total cholesterol
Total cholesterol
Before
After
LDL cholesterol
LDL cholesterol
27
Renal data
  • Calculating GFR is possible using the abridged
    MDRD formula
  • Requires Age, sex and creatinine
  • ideally racial group (if black)

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31
Discussion
32
Discussion
  • Getting numerical data into the GP clinical
    record is of value for patient care
  • Immediate
  • Clinical audit and Quality improvement
  • (And now for performance related pay)
  • Scope for improvement
  • Normal values
  • More derived values e.g. GFR
  • Interface improvement
  • Sending more data e.g. All BP

33
The Downside
  • Affordances of paper are lost

34
Conclusions
  • Pathology links are of enormous value to GPs
  • There is scope to improve the range and value of
    the data transmitted

35
Thanks for listening
  • Simon de Lusignan
  • slusigna_at_sghms.ac.uk
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