This document discusses the experience of implementing a paperless system in the intensive care unit (ICU) at the Royal Berkshire NHS Foundation hospital. It describes the barriers faced, such as staff being uncomfortable with computers. The system now allows access to patient records from anywhere, interfaces medical devices, and includes notes, prescriptions, observations and more. The author discusses the need for IT support, dedicated resources and overcoming barriers to create a successful system. The future goals are to use informatics to address care gaps and use data to improve care and reduce adverse events.
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
Paperless ICU Experience
1. D R I A N R E C H N E R
C O N S U L T A N T I N T E N S I V I S T
R O Y A L B E R K S H I R E N H S F O U N D A T I O N
H O S P I T A L
Paperless ICU-our
experience
2. Contents
Conflicts of interest
What is needed
Our situation
What we had
What we have now
Barriers to change
What we would like to do
3. Conflicts of interest
My personality is “process”
Hate stupid time
Have no computer degrees/qualifications
Been using ICU electronic record since 2003 (2000)
Hamilton Medical & Phillips
4. Hind sight
There are known knowns. These
are things we know that we
know. There are known
unknowns. That is to say, there
are things that we know we
don't know. But there are also
unknown unknowns. There are
things we don't know we don't
know.
5. Why do we need this?
Computers everywhere
Data management & analysis
Able to view in more than one place
Archive
Closed loop systems
And many, many more
6. Problems of healthcare and computerisation
Different teams work in silos
Not patient focused – in general
Write the same thing down several times
Lack of joined up thinking
No real time information
8. How we join the two
Difficult to explain benefits
iPhone 3 vs iPhone 5
Windows 95 vs Windows 8
Map vs satnav
Colour vs black and white TV
Horse vs motor car
IT worker and healthcare worker in one
Ways of doing things
9. My situation
Intensivist since 2005
1997 RBH - Eclipses
Feb 2010 – went live with Philips
Oversaw this project
Introduced prescribing
Interfaced
Blood results
Infusion pumps
Reporting
10. Royal Berkshire NHS FT
http://www.healthcare.philips.com/main/products/patient_monitor
ing/products/intellispace_cca/
12. What you need
IT support within the hospital
Hardware – interfaces & backup
Work stream processes
Healthcare workers who work together
ICU IT support team to keep it maintained
Support contracts
13. In reality
Dedicated individual – 10 hours per week – 1 year
Supportive management group
ICU and IT workers to configure
Wheeling and dealing
You help me, I help you
Demonstrate adverse events
16. What you need
Configuration
User friendly
Bound data – stops silly results
Identification tags – right results – right patient
Overview of patients – dash board
USER BENEFIT
17. Barriers to success
Staff poor with computers
Can’t touch type/navigate
“have to write down to force them to check”
People not acknowledging they can’t do something
Budgetary – mainly adverse events overcame this
18.
19. What we have now
Access anywhere
Interfaced
Blood results – microbiology, histology, ABG, etc
ECG
Infusion pumps
Ventilator observations
Notes – typed and scanned
Prescriptions
Lines
ICNARC
31. The future
Building the smart ICU
Medical devices
Informatics to address care gaps
Information to reduce adverse events
Information to demonstrate affects of care
32. ICU Care gaps
Can't find something - nurse, defib, drug, etc - can
use RTLS - real time locating system. Bar code/chip
which can then use to locate via wireless
Data overload, background noise, alarms - how can
we reduce the number of alarms? Switch to delivery
& filter alarms - only select a-systole and VF, rest of
ECG alarms ignore? Fused alarms - low BP and high
HR for e.g.
The electronic record has holes in it - devices and
data not associated with patient, time delay. Link
device to a patient or link device to a room.
33. The future
Future proof - build so it lasts and built to grow
Mainly used to store and keep a record of what care
is given - we don't look at pattern recognition,
disease process, data mining to improve global care
Mining is expensive and the medical world do not
have the knowledge of patient care.