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A Bucket Full of Numbers

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Title: A Bucket Full of Numbers


1
A Bucket Full of Numbers?
  • An Insight to Hemodialysis Data Management Systems

Kevin Lyons Fresenius Medical Care, Bad Homburg /
Germany
2
Topics
  • Evolution of Hemodialysis Data Management Systems
  • Potential Pitfalls
  • A case for automatic data acquisition
  • The Current State of the Art
  • What should a modern IT system provide?
  • What about the future?

3
Evolution
  • The early days.
  • Paper record.
  • Only option available.
  • Manual.
  • Difficult to evaluate trends.
  • Prone to tpyographical error.
  • Very short term use.
  • Limited contribution to patient care.

4
Life Cycle of the Paper Record
5
Evolution over 25 years
Adapted from Ronco C 2000
6
A case for a Database?
  • A dialysis unit may collect several GB of data
    per year
  • Device machine data
  • Pressure, conductivities, flows, temperatures,
    physiological data
  • Other treatment information
  • Symptoms, access documentation, hospitalizations
  • Laboratory results
  • Diagnosis
  • Demographic information
  • Drug prescription intake
  • Reference data (medications, diagnosis
    catalogues, )
  • It is hard to store/maintain this information
    without databases

7
Driving Forces towards Data Management
COMPUTERISE!
8
Industry Responds..
Sample for illustrative purposes only
9
Evaluation of Clinical Computing Systems as Used
by DOPPS Participants
  • Nurse
    Medical Manager
    Director
  • Pleased with current system 41 34
  • Need to add additional functions 75 73
  • Need a new system 45 55
  • Current system is very good at
  • Patient care. 37 33
  • Current system is very good at
  • Monitoring quality and outcomes 44 38

Sargent J 1999
10
Factors Limiting the Effectiveness of Computer
Systems
  • Purchasing system before needs are defined
  • System does not meet the requirements
  • Data collection and entry
  • Management of collected data is complex
  • Lack of a friendly interface
  • Reporting not targeted to improving patient care
    levels
  • Not upgradeable
  • Lack of an ongoing training program / poor
    training

Adapted from Ronco C 2000
11
modern dialysis machines are able to provide
much more treatment information...
12
Other Medical Devices Can Provide Information too
in principle, any device with an RS 232 or
similar interface can pass on its measured
parameters
13
The Missing Link
Workstations
File Servers
Workstations
14
Manual -v- Automated Measurements (1)
Table 1 Time needed to produce dialysis
prescription using automated data acquisition
compared to manual data entry
Source Rourke E et al. Man or Machine
15
Manual -v- Automated Measurements (2)
  • Blood Pressure Pre-Finesse
  • 150/90
  • 140/92
  • 150/110
  • 150/80
  • 140/90
  • 150/90
  • 202/100
  • 150/90
  • 150/90
  • 150/85
  • Blood Pressure Post-Finesse
  • 191/110
  • 212/89
  • 196/99
  • 210/104
  • 188/89
  • 214/105
  • 191/89
  • 169/84
  • 175/84
  • 190/110

Table 2 Comparison of 10 Blood Pressure readings
taken by a patient immediately before the
installation of Finesse and 10 automated readings
produced immediately after the installation of
the system
Source Rourke E et al. Man or Machine
16
Manual -v- Automated Measurements (3)
Figure 4 Comparison of reported symptoms 3
months prior to, and 3 months after installation
of Finesse
Source Rourke E et al. Man or Machine
17
Benefits of a Data Acquisition System
  • Real time treatment information
  • Accuracy of recorded data
  • Patient reported
  • Typographical
  • Therapy given based upon patient status
  • Burden of data collection greatly reduced
  • Facilitates Audit and Analysis

18
Computer Aided Dialysis Clinic Management
Outdoor clininc
Administration
Anamnesis
Insurance
Patient master data
Diagnosis
Accounting
Information
Nephro 7 Database
Laboratory data
Medication
Dialysis documentation
Dialysis regime
Laboratory
Quarterly updates
Dialysis prescription
Stored data
Dialysis monitoring
Hardware interfaces
Monitoring software
19
Acquisition alone is not enough It can only be
successful when implemented with the right
database.
20
What Characterises an OutstandingData Management
System?
  • Functionality
  • Data presentation analysis
  • Integration of dialysis machines medical
    devices
  • Advanced features (decision support,
    bio-feedback)
  • Integration with other systems

21
What Characterises an OutstandingData Management
System?
  • Acceptance The user likes to work with it,
  • Simplicity, usability and workflow
  • Dont have to drastically change their way of
    working
  • Training

22
Acceptance Training is an ESSENTIAL element
  • NEVER underestimate the importance of training
  • Create local experts via the TTT concept
  • Ensure ALL relevant disciplines are involved
  • Bilateral responsibilities

23
What Characterises an OutstandingData Management
System?
  • Cost effectiveness
  • Benefit from changing technologies and
    competition
  • Scalability

24
Cost Effectiveness
  • Profit from competition, be independent of
  • Platform (AS400, PC, SUN, )
  • Database (DB2, Oracle, MS-SQL, )
  • Operating System (OS400, NT, Win9x, Solaris, )
  • Profit from changing Telecoms market, choose
  • LAN, Frame-Relay, Internet, Dial-up,
  • Profit from global developer community and use
    open and (license) free standards
  • Java, HTML, XML, Servlet, Internet (www, ftp, )

25
XML Extended Mark-up Language
  • THE data exchange format
  • Non proprietary, widely supported (Microsoft,
    SUN, IBM, oracle, )
  • Standard also in the medical field (HL7)

XML ltmachine_data id"Fresenius_4008"gt ltpatient
idQ1299817212 /gt ltrowgt ltdata
name"time"gt15.02.2000 194721lt/datagt
ltdata name"ven. pressure"gt1926lt/datagt
ltdata name"art. pressure "gt9548lt/datagt
ltdata name"Temperature"gt7784lt/datagt
ltdata name"UF-Volume"gt4153lt/datagt ltdata
name"UF-Rate"gt1093lt/datagt lt/rowgt ltrowgt
ltdata name"time"gt15.02.2000
194726lt/datagt ltdata name"Temperature"gt3
529lt/datagt ltdata nameDialysate-flow"gt681
lt/datagt ltdata name"UF-Volume"gt8225lt/datagt
ltdata name"UF-Rate"gt1808lt/datagt
lt/rowgt ... lt/machine_datagt
Standard-Interface 1502200019472119269548778400004
15300324331093de34ar153 15022000194726000000003529
0581822500deas01808de34ar154 ...
Vendor specific
Human readable
26
Cost Effectiveness Scalability
1000 PCs
Technical Scope
Disease state management
100 PCs
Entire medical documentation
10 PCs
Warehouse
Functional Scope
Workflow
1 PC
Machine integration
Dialysis unit
Dialysis clinic
Hospital Chain
Single doctor
National Healthcare
27
Internet.. Whats so Special?
  • For the very first time in history we have
  • Option to share information and to communicate
    without any restrictions by borders and locations
  • Send text (letters), pictures (x-ray), movies
    (echo), sounds
  • Discuss chat-rooms, news-groups
  • Retrieve information on-line databases
    journals
  • Standardised technology
  • Chance to share common data consistent,
    non-redundant, without lavish interfaces, shared
    by larger community, e.g. Several clinics
  • Affordable by nearly everybody
  • For the very first time in history we have
  • Option to share information and to communicate
    without any restrictions by borders and locations
  • Send text (letters), pictures (x-ray), movies
    (echo), sounds
  • Discuss via chat-rooms, news-groups
  • Retrieve information on-line databases
    journals
  • Standardised technology
  • Chance to share common data consistent,
    non-redundant, without lavish interfaces, shared
    by larger community, e.g. Several clinics
  • Affordable by nearly everybody

State-of-the-art clinical IT systems have to
utilize these opportunities!
28
Thank you for your attention
Kevin Lyons Service Training Manager Fresenius
Medical Care Regional Office Middle East PO Box
3264 Dubai UAE
Tel 9714 332 9317 Fax 971 332 9316 Mob
971506250443 E-mail kevin_lyons_at_hotmail.com
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