SlideShare a Scribd company logo
1 of 21
Making Surgical practice
improvement easy
S Connor, M Sakowska, D MacKay, M Furlong, R Roberts
CDHB and scOPe1 solutions
Introduction
• Key component to improving surgical outcomes for patients is
ensuring completion of the audit cycle.
• To do so requires
• seamless mapping of the patient journey
• Accurate collection of coded data
• Leveraging of trusted data into meaningful information to the clinicians
• To obtain buy in any change in process or involvement by
clinicians must make their workflow process easier
Aim
• To create an electronic workflow for managing patient journey through
surgical services
• Process change must improve clinicians work flow
• Create data that was as accurate and could be trusted by end viewer
• Data to be captured once by person most likely to be able to verify its
accuracy
• Exportable to meet requirements of multiple end users
Methods
• Holistic approach to development
• Especially individual and Dept. “clinical champions”
• DHB
• Developers
• Non clinical champions: administrative and managerial
• End users of potential data
• Apply principles of lean thinking to design and workflow
• Staggered roll out across surgical services as clinical champions came on board
• Agile approach to new ideas
What is ?A clinical audit and outcomes tool using workflow support
to capture data
Waiting List
•Streamline entry
•Visibility to surgeon
•Real time accuracy
Theatre
Visualisation
•E-whiteboard in Theatre
•Ward viewer
•Accurate Op List
Post Op Note
/ Ward
Instructions
• Quicker for surgeons (template based)
• Published to core clinical documents
system
• Core activity data captured (for list)
Complications
/ M&M
Meetings
• Core Audit
Results
Waiting list: Creating visibility
Time consuming process with lots of duplication and rework
Major risk to Hospital both in terms of errors and financially
Only visible by
printing piece of
paper
Excel sheets to plan lists
only book urgent patients
no visibility over the rest
Fill in Form
• Tailor the form by job description
• Ask only unique questions to the people who
will provide most accurate response
• Remove redundancy
• Seek information in recognisable form and
link back end to standard data sets (sno-med)
• New functionality
Managing Waiting Lists
Expected Time
Allows selection patient
who been on list longest
to be chosen next
See several lists
at a glance
By creating visibility encourage FIFO
Ensure fair and even access to Rx
Operation Note
Requires data entry
Word template
Can we do Better?
Op Note with
Data collected without need for data entry person, capture by leveraging off
clinically useful application
Audit Research M and M
Synoptic notes
• Common operations can have standardised data and
definitions
• Ensure complete information provided for the end user
• Consult the users of the “Op note”
• Re define what is an op notes function
Uptake of synoptic notes:
Laparoscopic cholecystectomy
0
20
40
60
80
100
120
140
160
180
1
7
13
19
25
31
37
43
49
55
61
67
73
79
85
91
97
103
109
115
121
127
133
139
145
151
157
163
Laparoscopic cholecystectomy
Cumulative use of synoptic note since inception
100%
Cumulative Sum
80%
Method Time
Pre-scope 3 days
Scope template 1 day
Synoptic 4 (3-8) minutes
Time for op note to be viewable
Increased Quality of note and ? changing
practice
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Abx Retraction Rouviere's Peritoneal release Method Crit view Fascia
Comparison of documentation of variables pre and post synoptic notes
pre post
Morbidity and Mortality meeting
Outcomes of M and M
Tasks register with visibility over status
0
10
20
30
40
50
60
70
80
90
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
Surgeon
%ofmeetingattended
Attendance (n=33 meetings)
No. procedures with complications=432/4025 (11%)
66% Grade ≥3
5% discussed result in further action
Audit
Leveraging the data
Implementation
at CDHB
KEY
Engagement /
Induction
Diag/
Procedures Complications Op Details Complications
Good
Compliance Initial Use
Audit
Achieved
Anvanced
Analysis e.g
Outliers
Full Partial
Start Up Core Data Capture Reviews / Analysis
General Surgery
Anaesthetic
Obs/Gynae
Orthopaedics
Plastics
Neurosurgery
Otolaryngology (ENT)
Vascular
Opthalmology
Maxillo Facial
Paediatrics
Urology
Start Up Core Data Capture Reviews / Analsyis
Conclusion
• Have successfully replaced a disconnected and non functioning paper
based system into a seamless e-solution that is being fully implemented
into surgical services at a major DHB
• High degree of clinical buy in, uptake and engagement
• Structured so standardised format but bespoke for granularity to make
clinically useful
• Make the front end easy and will capture data required from the people
who can best provide most accurate data
• Outcomes now trusted which can lead process for practice improvement

More Related Content

What's hot

Analytics in healthcare
Analytics in healthcareAnalytics in healthcare
Analytics in healthcareAnushkaAlok
 
Clinical decision support system
Clinical decision support systemClinical decision support system
Clinical decision support systemDrSiddharthSingh5
 
iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...
iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...
iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...Health IT Conference – iHT2
 
Canadian MedRec Quality Audit Month: Results and Future Direction
Canadian MedRec Quality Audit Month: Results and Future DirectionCanadian MedRec Quality Audit Month: Results and Future Direction
Canadian MedRec Quality Audit Month: Results and Future DirectionCanadian Patient Safety Institute
 
Introduction to Healthcare Analytics
Introduction to Healthcare Analytics Introduction to Healthcare Analytics
Introduction to Healthcare Analytics Experfy
 
Connected Health & Me - Matic Meglic - Nov 24th 2014
Connected Health & Me - Matic Meglic - Nov 24th 2014Connected Health & Me - Matic Meglic - Nov 24th 2014
Connected Health & Me - Matic Meglic - Nov 24th 2014ipposi
 
Ronan Herlihy on Engaging Clinicians with data on their ordering practices
Ronan Herlihy on Engaging Clinicians with data on their ordering practicesRonan Herlihy on Engaging Clinicians with data on their ordering practices
Ronan Herlihy on Engaging Clinicians with data on their ordering practicesCirdan
 
Health IT Summit in Seattle 2014 – “Think Big, Act Small” with Deborah Dahl, ...
Health IT Summit in Seattle 2014 – “Think Big, Act Small” with Deborah Dahl, ...Health IT Summit in Seattle 2014 – “Think Big, Act Small” with Deborah Dahl, ...
Health IT Summit in Seattle 2014 – “Think Big, Act Small” with Deborah Dahl, ...Health IT Conference – iHT2
 
Applied use of CUSUMs in surveillance
Applied use of CUSUMs in surveillanceApplied use of CUSUMs in surveillance
Applied use of CUSUMs in surveillanceNuffield Trust
 
Vidant Duplin Hospital: Testing Emergency Department improvements with Simula...
Vidant Duplin Hospital: Testing Emergency Department improvements with Simula...Vidant Duplin Hospital: Testing Emergency Department improvements with Simula...
Vidant Duplin Hospital: Testing Emergency Department improvements with Simula...SIMUL8 Corporation
 
L. Johnson_NR660_Standardization PPT Presentation
L. Johnson_NR660_Standardization PPT PresentationL. Johnson_NR660_Standardization PPT Presentation
L. Johnson_NR660_Standardization PPT PresentationLesley Johnson
 
SIMTEGR8: Simulation To Evaluate Great Care
SIMTEGR8: Simulation To Evaluate Great CareSIMTEGR8: Simulation To Evaluate Great Care
SIMTEGR8: Simulation To Evaluate Great CareSIMUL8 Corporation
 
Remote patient monitoring in home health
Remote patient monitoring in home healthRemote patient monitoring in home health
Remote patient monitoring in home healthSamantha Haas
 
Health IT Summit in Chicago 2014 – “The EHR & Quality: The Current Evidence” ...
Health IT Summit in Chicago 2014 – “The EHR & Quality: The Current Evidence” ...Health IT Summit in Chicago 2014 – “The EHR & Quality: The Current Evidence” ...
Health IT Summit in Chicago 2014 – “The EHR & Quality: The Current Evidence” ...Health IT Conference – iHT2
 
IRB Challenges QI vs Research
IRB Challenges   QI vs ResearchIRB Challenges   QI vs Research
IRB Challenges QI vs Researchmsschreiner
 
Dr Brent James: quality improvement techniques at the frontline
Dr Brent James: quality improvement techniques at the frontlineDr Brent James: quality improvement techniques at the frontline
Dr Brent James: quality improvement techniques at the frontlineNuffield Trust
 

What's hot (20)

Analytics in healthcare
Analytics in healthcareAnalytics in healthcare
Analytics in healthcare
 
Surveillance of social media: Big data analytics
Surveillance of social media: Big data analyticsSurveillance of social media: Big data analytics
Surveillance of social media: Big data analytics
 
Clinical decision support system
Clinical decision support systemClinical decision support system
Clinical decision support system
 
iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...
iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...
iHT² Health IT Summit Beverly Hills – Case Study "The EHR & Quality: The Curr...
 
MLS13 QI Workshop
MLS13 QI WorkshopMLS13 QI Workshop
MLS13 QI Workshop
 
Canadian MedRec Quality Audit Month: Results and Future Direction
Canadian MedRec Quality Audit Month: Results and Future DirectionCanadian MedRec Quality Audit Month: Results and Future Direction
Canadian MedRec Quality Audit Month: Results and Future Direction
 
Introduction to Healthcare Analytics
Introduction to Healthcare Analytics Introduction to Healthcare Analytics
Introduction to Healthcare Analytics
 
Connected Health & Me - Matic Meglic - Nov 24th 2014
Connected Health & Me - Matic Meglic - Nov 24th 2014Connected Health & Me - Matic Meglic - Nov 24th 2014
Connected Health & Me - Matic Meglic - Nov 24th 2014
 
Ronan Herlihy on Engaging Clinicians with data on their ordering practices
Ronan Herlihy on Engaging Clinicians with data on their ordering practicesRonan Herlihy on Engaging Clinicians with data on their ordering practices
Ronan Herlihy on Engaging Clinicians with data on their ordering practices
 
Health IT Summit in Seattle 2014 – “Think Big, Act Small” with Deborah Dahl, ...
Health IT Summit in Seattle 2014 – “Think Big, Act Small” with Deborah Dahl, ...Health IT Summit in Seattle 2014 – “Think Big, Act Small” with Deborah Dahl, ...
Health IT Summit in Seattle 2014 – “Think Big, Act Small” with Deborah Dahl, ...
 
Applied use of CUSUMs in surveillance
Applied use of CUSUMs in surveillanceApplied use of CUSUMs in surveillance
Applied use of CUSUMs in surveillance
 
Vidant Duplin Hospital: Testing Emergency Department improvements with Simula...
Vidant Duplin Hospital: Testing Emergency Department improvements with Simula...Vidant Duplin Hospital: Testing Emergency Department improvements with Simula...
Vidant Duplin Hospital: Testing Emergency Department improvements with Simula...
 
L. Johnson_NR660_Standardization PPT Presentation
L. Johnson_NR660_Standardization PPT PresentationL. Johnson_NR660_Standardization PPT Presentation
L. Johnson_NR660_Standardization PPT Presentation
 
Engaging with data
Engaging with dataEngaging with data
Engaging with data
 
SIMTEGR8: Simulation To Evaluate Great Care
SIMTEGR8: Simulation To Evaluate Great CareSIMTEGR8: Simulation To Evaluate Great Care
SIMTEGR8: Simulation To Evaluate Great Care
 
Remote patient monitoring in home health
Remote patient monitoring in home healthRemote patient monitoring in home health
Remote patient monitoring in home health
 
Health IT Summit in Chicago 2014 – “The EHR & Quality: The Current Evidence” ...
Health IT Summit in Chicago 2014 – “The EHR & Quality: The Current Evidence” ...Health IT Summit in Chicago 2014 – “The EHR & Quality: The Current Evidence” ...
Health IT Summit in Chicago 2014 – “The EHR & Quality: The Current Evidence” ...
 
1645 ainsworth
1645 ainsworth1645 ainsworth
1645 ainsworth
 
IRB Challenges QI vs Research
IRB Challenges   QI vs ResearchIRB Challenges   QI vs Research
IRB Challenges QI vs Research
 
Dr Brent James: quality improvement techniques at the frontline
Dr Brent James: quality improvement techniques at the frontlineDr Brent James: quality improvement techniques at the frontline
Dr Brent James: quality improvement techniques at the frontline
 

Viewers also liked

Reducing hospitalisations and arrests of mental health patients through the u...
Reducing hospitalisations and arrests of mental health patients through the u...Reducing hospitalisations and arrests of mental health patients through the u...
Reducing hospitalisations and arrests of mental health patients through the u...Health Informatics New Zealand
 
Big data and better health outcomes - Researcher perspective
Big data and better health outcomes - Researcher perspectiveBig data and better health outcomes - Researcher perspective
Big data and better health outcomes - Researcher perspectiveHealth Informatics New Zealand
 
двикалюк є.в.
двикалюк є.в.двикалюк є.в.
двикалюк є.в.yagilnytska
 
Allied Health and informatics: Identifying our voice - can you hear us?
Allied Health and informatics: Identifying our voice - can you hear us?Allied Health and informatics: Identifying our voice - can you hear us?
Allied Health and informatics: Identifying our voice - can you hear us?Health Informatics New Zealand
 
Big data and better health outcomes - Government perspective
Big data and better health outcomes - Government perspectiveBig data and better health outcomes - Government perspective
Big data and better health outcomes - Government perspectiveHealth Informatics New Zealand
 
Laptop computers enhancing clinical care in community allied health service
Laptop computers enhancing clinical care in community allied health serviceLaptop computers enhancing clinical care in community allied health service
Laptop computers enhancing clinical care in community allied health serviceHealth Informatics New Zealand
 
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?Health Informatics New Zealand
 
Health informatics - Transforming healthcare delivery in hong kong
Health informatics - Transforming healthcare delivery in hong kongHealth informatics - Transforming healthcare delivery in hong kong
Health informatics - Transforming healthcare delivery in hong kongHealth Informatics New Zealand
 
Safe IT Practices: making it easy to do the right thing
Safe IT Practices: making it easy to do the right thingSafe IT Practices: making it easy to do the right thing
Safe IT Practices: making it easy to do the right thingHealth Informatics New Zealand
 
HIMSS Analytics® - Healthcare IT State of the Market 2016
HIMSS Analytics® - Healthcare IT State of the Market 2016HIMSS Analytics® - Healthcare IT State of the Market 2016
HIMSS Analytics® - Healthcare IT State of the Market 2016HIMSS Analytics
 
50 Inspiring Healthcare Innovation Ideas
50 Inspiring Healthcare Innovation Ideas50 Inspiring Healthcare Innovation Ideas
50 Inspiring Healthcare Innovation IdeasMiron Construction
 

Viewers also liked (18)

Reducing hospitalisations and arrests of mental health patients through the u...
Reducing hospitalisations and arrests of mental health patients through the u...Reducing hospitalisations and arrests of mental health patients through the u...
Reducing hospitalisations and arrests of mental health patients through the u...
 
Big data and better health outcomes - Researcher perspective
Big data and better health outcomes - Researcher perspectiveBig data and better health outcomes - Researcher perspective
Big data and better health outcomes - Researcher perspective
 
Empowered Health
Empowered HealthEmpowered Health
Empowered Health
 
двикалюк є.в.
двикалюк є.в.двикалюк є.в.
двикалюк є.в.
 
Allied Health and informatics: Identifying our voice - can you hear us?
Allied Health and informatics: Identifying our voice - can you hear us?Allied Health and informatics: Identifying our voice - can you hear us?
Allied Health and informatics: Identifying our voice - can you hear us?
 
Big data and better health outcomes - Government perspective
Big data and better health outcomes - Government perspectiveBig data and better health outcomes - Government perspective
Big data and better health outcomes - Government perspective
 
Laptop computers enhancing clinical care in community allied health service
Laptop computers enhancing clinical care in community allied health serviceLaptop computers enhancing clinical care in community allied health service
Laptop computers enhancing clinical care in community allied health service
 
I know just what you mean - Ontologies and their uses
I know just what you mean - Ontologies and their usesI know just what you mean - Ontologies and their uses
I know just what you mean - Ontologies and their uses
 
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
 
Beyond EMR - so you've got an EMR - what next?
Beyond EMR - so you've got an EMR - what next?Beyond EMR - so you've got an EMR - what next?
Beyond EMR - so you've got an EMR - what next?
 
Health informatics - Transforming healthcare delivery in hong kong
Health informatics - Transforming healthcare delivery in hong kongHealth informatics - Transforming healthcare delivery in hong kong
Health informatics - Transforming healthcare delivery in hong kong
 
Analytics leads to improved quality and performance
Analytics leads to improved quality and performanceAnalytics leads to improved quality and performance
Analytics leads to improved quality and performance
 
Safe IT Practices: making it easy to do the right thing
Safe IT Practices: making it easy to do the right thingSafe IT Practices: making it easy to do the right thing
Safe IT Practices: making it easy to do the right thing
 
The Power of Surface Modelling
The Power of Surface ModellingThe Power of Surface Modelling
The Power of Surface Modelling
 
Healthcare IT Trends
Healthcare IT TrendsHealthcare IT Trends
Healthcare IT Trends
 
Electronic Medical Record Adoption Model (EMRAM)
Electronic Medical Record Adoption Model (EMRAM)Electronic Medical Record Adoption Model (EMRAM)
Electronic Medical Record Adoption Model (EMRAM)
 
HIMSS Analytics® - Healthcare IT State of the Market 2016
HIMSS Analytics® - Healthcare IT State of the Market 2016HIMSS Analytics® - Healthcare IT State of the Market 2016
HIMSS Analytics® - Healthcare IT State of the Market 2016
 
50 Inspiring Healthcare Innovation Ideas
50 Inspiring Healthcare Innovation Ideas50 Inspiring Healthcare Innovation Ideas
50 Inspiring Healthcare Innovation Ideas
 

Similar to Making surgical practice improvement easy

Practical application of simulation models at Careggi university hospital
Practical application of simulation models at Careggi university hospitalPractical application of simulation models at Careggi university hospital
Practical application of simulation models at Careggi university hospitalDecision Science Community
 
Delivering Quality Through eHealth and Information Technology
Delivering Quality Through eHealth and Information TechnologyDelivering Quality Through eHealth and Information Technology
Delivering Quality Through eHealth and Information TechnologyNHSScotlandEvent
 
Project ECHO QI: Communicating and Advocating Using Data June 29, 2016
Project ECHO QI: Communicating and Advocating Using Data June 29, 2016Project ECHO QI: Communicating and Advocating Using Data June 29, 2016
Project ECHO QI: Communicating and Advocating Using Data June 29, 2016CHC Connecticut
 
Using open source at the Christie and how it supports agile software developm...
Using open source at the Christie and how it supports agile software developm...Using open source at the Christie and how it supports agile software developm...
Using open source at the Christie and how it supports agile software developm...mfolkard
 
5a.-FINAL_Recommended-Practices-to-Maximize-Reimbursement-Nashville-OR-Manage...
5a.-FINAL_Recommended-Practices-to-Maximize-Reimbursement-Nashville-OR-Manage...5a.-FINAL_Recommended-Practices-to-Maximize-Reimbursement-Nashville-OR-Manage...
5a.-FINAL_Recommended-Practices-to-Maximize-Reimbursement-Nashville-OR-Manage...Bob Taguba
 
2 Brian Hudson Lean 6 Sigma
2 Brian Hudson Lean 6 Sigma2 Brian Hudson Lean 6 Sigma
2 Brian Hudson Lean 6 Sigmagueste681ce
 
Implementing ICD-10 In Five Simple Steps
Implementing ICD-10 In Five Simple StepsImplementing ICD-10 In Five Simple Steps
Implementing ICD-10 In Five Simple StepsHarold Gibson
 
2. Setting an Organizational Agenda
2. Setting an Organizational Agenda2. Setting an Organizational Agenda
2. Setting an Organizational AgendaMichele Molden
 
Computer-generated rounding report increases workflow efficiency
Computer-generated rounding report increases workflow efficiencyComputer-generated rounding report increases workflow efficiency
Computer-generated rounding report increases workflow efficiencyHealth Informatics New Zealand
 
CONTINUOUS CLINICAL PATHWAYS EVALUATION BY USING AUTOMATIC LEARNING ALGORITHMS
CONTINUOUS CLINICAL PATHWAYS EVALUATION BY USING AUTOMATIC LEARNING ALGORITHMSCONTINUOUS CLINICAL PATHWAYS EVALUATION BY USING AUTOMATIC LEARNING ALGORITHMS
CONTINUOUS CLINICAL PATHWAYS EVALUATION BY USING AUTOMATIC LEARNING ALGORITHMSUniversitat Politècnica de València
 
Sharing a New Ideal: How Tomorrow’s Understaffed, Multi-Site Lab Organization...
Sharing a New Ideal: How Tomorrow’s Understaffed, Multi-Site Lab Organization...Sharing a New Ideal: How Tomorrow’s Understaffed, Multi-Site Lab Organization...
Sharing a New Ideal: How Tomorrow’s Understaffed, Multi-Site Lab Organization...mhartman1309
 
Webinar On Lean In Non Manufacturing Environments
Webinar On Lean In Non Manufacturing EnvironmentsWebinar On Lean In Non Manufacturing Environments
Webinar On Lean In Non Manufacturing Environmentsfertuckda
 
PCMH: Part 4 – Learn How to Start or Improve Your Quality Improvement Program
PCMH: Part 4 – Learn How to Start or Improve Your Quality Improvement ProgramPCMH: Part 4 – Learn How to Start or Improve Your Quality Improvement Program
PCMH: Part 4 – Learn How to Start or Improve Your Quality Improvement ProgramJulie Champagne
 
Modelling workflow processes for clinical information systems: impact on deci...
Modelling workflow processes for clinical information systems: impact on deci...Modelling workflow processes for clinical information systems: impact on deci...
Modelling workflow processes for clinical information systems: impact on deci...Phil Gooch
 
Clinicaldatamanagementindiaasahub 130313225150-phpapp01
Clinicaldatamanagementindiaasahub 130313225150-phpapp01Clinicaldatamanagementindiaasahub 130313225150-phpapp01
Clinicaldatamanagementindiaasahub 130313225150-phpapp01Upendra Agarwal
 
Comp10 unit2a lecture_slides
Comp10 unit2a lecture_slidesComp10 unit2a lecture_slides
Comp10 unit2a lecture_slidesCMDLMS
 
surgical audit
surgical auditsurgical audit
surgical auditsoori14386
 

Similar to Making surgical practice improvement easy (20)

Practical application of simulation models at Careggi university hospital
Practical application of simulation models at Careggi university hospitalPractical application of simulation models at Careggi university hospital
Practical application of simulation models at Careggi university hospital
 
R2 c optimization
R2 c optimizationR2 c optimization
R2 c optimization
 
Delivering Quality Through eHealth and Information Technology
Delivering Quality Through eHealth and Information TechnologyDelivering Quality Through eHealth and Information Technology
Delivering Quality Through eHealth and Information Technology
 
Case Study: Increasing Operating Room Utilization
Case Study: Increasing Operating Room UtilizationCase Study: Increasing Operating Room Utilization
Case Study: Increasing Operating Room Utilization
 
Project ECHO QI: Communicating and Advocating Using Data June 29, 2016
Project ECHO QI: Communicating and Advocating Using Data June 29, 2016Project ECHO QI: Communicating and Advocating Using Data June 29, 2016
Project ECHO QI: Communicating and Advocating Using Data June 29, 2016
 
Using open source at the Christie and how it supports agile software developm...
Using open source at the Christie and how it supports agile software developm...Using open source at the Christie and how it supports agile software developm...
Using open source at the Christie and how it supports agile software developm...
 
5a.-FINAL_Recommended-Practices-to-Maximize-Reimbursement-Nashville-OR-Manage...
5a.-FINAL_Recommended-Practices-to-Maximize-Reimbursement-Nashville-OR-Manage...5a.-FINAL_Recommended-Practices-to-Maximize-Reimbursement-Nashville-OR-Manage...
5a.-FINAL_Recommended-Practices-to-Maximize-Reimbursement-Nashville-OR-Manage...
 
2 Brian Hudson Lean 6 Sigma
2 Brian Hudson Lean 6 Sigma2 Brian Hudson Lean 6 Sigma
2 Brian Hudson Lean 6 Sigma
 
Implementing ICD-10 In Five Simple Steps
Implementing ICD-10 In Five Simple StepsImplementing ICD-10 In Five Simple Steps
Implementing ICD-10 In Five Simple Steps
 
2. Setting an Organizational Agenda
2. Setting an Organizational Agenda2. Setting an Organizational Agenda
2. Setting an Organizational Agenda
 
Computer-generated rounding report increases workflow efficiency
Computer-generated rounding report increases workflow efficiencyComputer-generated rounding report increases workflow efficiency
Computer-generated rounding report increases workflow efficiency
 
CONTINUOUS CLINICAL PATHWAYS EVALUATION BY USING AUTOMATIC LEARNING ALGORITHMS
CONTINUOUS CLINICAL PATHWAYS EVALUATION BY USING AUTOMATIC LEARNING ALGORITHMSCONTINUOUS CLINICAL PATHWAYS EVALUATION BY USING AUTOMATIC LEARNING ALGORITHMS
CONTINUOUS CLINICAL PATHWAYS EVALUATION BY USING AUTOMATIC LEARNING ALGORITHMS
 
Sharing a New Ideal: How Tomorrow’s Understaffed, Multi-Site Lab Organization...
Sharing a New Ideal: How Tomorrow’s Understaffed, Multi-Site Lab Organization...Sharing a New Ideal: How Tomorrow’s Understaffed, Multi-Site Lab Organization...
Sharing a New Ideal: How Tomorrow’s Understaffed, Multi-Site Lab Organization...
 
Webinar On Lean In Non Manufacturing Environments
Webinar On Lean In Non Manufacturing EnvironmentsWebinar On Lean In Non Manufacturing Environments
Webinar On Lean In Non Manufacturing Environments
 
PCMH: Part 4 – Learn How to Start or Improve Your Quality Improvement Program
PCMH: Part 4 – Learn How to Start or Improve Your Quality Improvement ProgramPCMH: Part 4 – Learn How to Start or Improve Your Quality Improvement Program
PCMH: Part 4 – Learn How to Start or Improve Your Quality Improvement Program
 
Modelling workflow processes for clinical information systems: impact on deci...
Modelling workflow processes for clinical information systems: impact on deci...Modelling workflow processes for clinical information systems: impact on deci...
Modelling workflow processes for clinical information systems: impact on deci...
 
Clinicaldatamanagementindiaasahub 130313225150-phpapp01
Clinicaldatamanagementindiaasahub 130313225150-phpapp01Clinicaldatamanagementindiaasahub 130313225150-phpapp01
Clinicaldatamanagementindiaasahub 130313225150-phpapp01
 
Comp10 unit2a lecture_slides
Comp10 unit2a lecture_slidesComp10 unit2a lecture_slides
Comp10 unit2a lecture_slides
 
surgical audit
surgical auditsurgical audit
surgical audit
 
13680904.ppt
13680904.ppt13680904.ppt
13680904.ppt
 

More from Health Informatics New Zealand

Change in the data collection landscape: opportunity, possibilities and poten...
Change in the data collection landscape: opportunity, possibilities and poten...Change in the data collection landscape: opportunity, possibilities and poten...
Change in the data collection landscape: opportunity, possibilities and poten...Health Informatics New Zealand
 
Overview of the New Zealand Maternity Clinical Information System
Overview of the New Zealand Maternity Clinical Information SystemOverview of the New Zealand Maternity Clinical Information System
Overview of the New Zealand Maternity Clinical Information SystemHealth Informatics New Zealand
 
Electronic prescribing system medication errors: Identification, classificati...
Electronic prescribing system medication errors: Identification, classificati...Electronic prescribing system medication errors: Identification, classificati...
Electronic prescribing system medication errors: Identification, classificati...Health Informatics New Zealand
 
Global trends in technology for retailers and how they are impacting the phar...
Global trends in technology for retailers and how they are impacting the phar...Global trends in technology for retailers and how they are impacting the phar...
Global trends in technology for retailers and how they are impacting the phar...Health Informatics New Zealand
 
"Not flying under the radar": Developing an App for Patient-led Management of...
"Not flying under the radar": Developing an App for Patient-led Management of..."Not flying under the radar": Developing an App for Patient-led Management of...
"Not flying under the radar": Developing an App for Patient-led Management of...Health Informatics New Zealand
 
The quantified self: Does personalised monitoring change everything?
The quantified self: Does personalised monitoring change everything?The quantified self: Does personalised monitoring change everything?
The quantified self: Does personalised monitoring change everything?Health Informatics New Zealand
 
1115 wyatt wheres the science in hi for christchurch nz oct 2015
1115 wyatt wheres the science in hi   for christchurch nz oct 20151115 wyatt wheres the science in hi   for christchurch nz oct 2015
1115 wyatt wheres the science in hi for christchurch nz oct 2015Health Informatics New Zealand
 
The power of information: Achieving a national infection management system
The power of information: Achieving a national infection management systemThe power of information: Achieving a national infection management system
The power of information: Achieving a national infection management systemHealth Informatics New Zealand
 
Removing the collaboration barriers for connected healthcare
Removing the collaboration barriers for connected healthcareRemoving the collaboration barriers for connected healthcare
Removing the collaboration barriers for connected healthcareHealth Informatics New Zealand
 
Health IT Programmes - lifting performance across the sector
Health IT Programmes - lifting performance across the sectorHealth IT Programmes - lifting performance across the sector
Health IT Programmes - lifting performance across the sectorHealth Informatics New Zealand
 

More from Health Informatics New Zealand (18)

Change in the data collection landscape: opportunity, possibilities and poten...
Change in the data collection landscape: opportunity, possibilities and poten...Change in the data collection landscape: opportunity, possibilities and poten...
Change in the data collection landscape: opportunity, possibilities and poten...
 
Overview of the New Zealand Maternity Clinical Information System
Overview of the New Zealand Maternity Clinical Information SystemOverview of the New Zealand Maternity Clinical Information System
Overview of the New Zealand Maternity Clinical Information System
 
Nhitb wednesday 9am plenary (sadhana first)
Nhitb wednesday 9am plenary (sadhana first)Nhitb wednesday 9am plenary (sadhana first)
Nhitb wednesday 9am plenary (sadhana first)
 
Oncology treatment patterns in the South Island
Oncology treatment patterns in the South IslandOncology treatment patterns in the South Island
Oncology treatment patterns in the South Island
 
Electronic prescribing system medication errors: Identification, classificati...
Electronic prescribing system medication errors: Identification, classificati...Electronic prescribing system medication errors: Identification, classificati...
Electronic prescribing system medication errors: Identification, classificati...
 
Global trends in technology for retailers and how they are impacting the phar...
Global trends in technology for retailers and how they are impacting the phar...Global trends in technology for retailers and how they are impacting the phar...
Global trends in technology for retailers and how they are impacting the phar...
 
"Not flying under the radar": Developing an App for Patient-led Management of...
"Not flying under the radar": Developing an App for Patient-led Management of..."Not flying under the radar": Developing an App for Patient-led Management of...
"Not flying under the radar": Developing an App for Patient-led Management of...
 
The quantified self: Does personalised monitoring change everything?
The quantified self: Does personalised monitoring change everything?The quantified self: Does personalised monitoring change everything?
The quantified self: Does personalised monitoring change everything?
 
1115 wyatt wheres the science in hi for christchurch nz oct 2015
1115 wyatt wheres the science in hi   for christchurch nz oct 20151115 wyatt wheres the science in hi   for christchurch nz oct 2015
1115 wyatt wheres the science in hi for christchurch nz oct 2015
 
The power of information: Achieving a national infection management system
The power of information: Achieving a national infection management systemThe power of information: Achieving a national infection management system
The power of information: Achieving a national infection management system
 
Clinical Decision Support
Clinical Decision SupportClinical Decision Support
Clinical Decision Support
 
1630 garrett nacims hinz slide
1630 garrett nacims   hinz slide1630 garrett nacims   hinz slide
1630 garrett nacims hinz slide
 
The Health Information Governance Framework
The Health Information Governance FrameworkThe Health Information Governance Framework
The Health Information Governance Framework
 
The Democratisation of Information
The Democratisation of InformationThe Democratisation of Information
The Democratisation of Information
 
Removing the collaboration barriers for connected healthcare
Removing the collaboration barriers for connected healthcareRemoving the collaboration barriers for connected healthcare
Removing the collaboration barriers for connected healthcare
 
The Power of Collaboration
The Power of CollaborationThe Power of Collaboration
The Power of Collaboration
 
Watson Health a Population Health Platform
Watson Health a Population Health PlatformWatson Health a Population Health Platform
Watson Health a Population Health Platform
 
Health IT Programmes - lifting performance across the sector
Health IT Programmes - lifting performance across the sectorHealth IT Programmes - lifting performance across the sector
Health IT Programmes - lifting performance across the sector
 

Recently uploaded

bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetbhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near MeVIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Memriyagarg453
 
Bareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Bareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetBareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Bareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
Call Girl Raipur 📲 9999965857 whatsapp live cam sex service available
Call Girl Raipur 📲 9999965857 whatsapp live cam sex service availableCall Girl Raipur 📲 9999965857 whatsapp live cam sex service available
Call Girl Raipur 📲 9999965857 whatsapp live cam sex service availablegragmanisha42
 
ooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
ooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
ooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.ktanvi103
 
Call Girls Service Faridabad 📲 9999965857 ヅ10k NiGhT Call Girls In Faridabad
Call Girls Service Faridabad 📲 9999965857 ヅ10k NiGhT Call Girls In FaridabadCall Girls Service Faridabad 📲 9999965857 ヅ10k NiGhT Call Girls In Faridabad
Call Girls Service Faridabad 📲 9999965857 ヅ10k NiGhT Call Girls In Faridabadgragmanisha42
 
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...Ahmedabad Call Girls
 
Call Girls Service In Goa 💋 9316020077💋 Goa Call Girls By Russian Call Girl...
Call Girls Service In Goa  💋 9316020077💋 Goa Call Girls  By Russian Call Girl...Call Girls Service In Goa  💋 9316020077💋 Goa Call Girls  By Russian Call Girl...
Call Girls Service In Goa 💋 9316020077💋 Goa Call Girls By Russian Call Girl...russian goa call girl and escorts service
 
VIP Call Girl DLF Phase 2 Gurgaon (Noida) Just Meet Me@ 9711199012
VIP Call Girl DLF Phase 2 Gurgaon (Noida) Just Meet Me@ 9711199012VIP Call Girl DLF Phase 2 Gurgaon (Noida) Just Meet Me@ 9711199012
VIP Call Girl DLF Phase 2 Gurgaon (Noida) Just Meet Me@ 9711199012adityaroy0215
 
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetSambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
Call Girl Gorakhpur * 8250192130 Service starts from just ₹9999 ✅
Call Girl Gorakhpur * 8250192130 Service starts from just ₹9999 ✅Call Girl Gorakhpur * 8250192130 Service starts from just ₹9999 ✅
Call Girl Gorakhpur * 8250192130 Service starts from just ₹9999 ✅gragmanisha42
 
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...chandigarhentertainm
 
VIP Call Girl Sector 32 Noida Just Book Me 9711199171
VIP Call Girl Sector 32 Noida Just Book Me 9711199171VIP Call Girl Sector 32 Noida Just Book Me 9711199171
VIP Call Girl Sector 32 Noida Just Book Me 9711199171Call Girls Service Gurgaon
 
Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...
Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...
Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...Sheetaleventcompany
 
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetTirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetCall Girls Service
 
Chandigarh Call Girls 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Chandigarh Call Girls 👙 7001035870 👙 Genuine WhatsApp Number for Real MeetChandigarh Call Girls 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Chandigarh Call Girls 👙 7001035870 👙 Genuine WhatsApp Number for Real Meetpriyashah722354
 
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591adityaroy0215
 
Jaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
Jaipur Call Girls 9257276172 Call Girl in Jaipur RajasthanJaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
Jaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthanindiancallgirl4rent
 
Krishnagiri call girls Tamil aunty 7877702510
Krishnagiri call girls Tamil aunty 7877702510Krishnagiri call girls Tamil aunty 7877702510
Krishnagiri call girls Tamil aunty 7877702510Vipesco
 

Recently uploaded (20)

bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetbhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
bhubaneswar Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near MeVIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
 
Bareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Bareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetBareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Bareilly Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Call Girl Raipur 📲 9999965857 whatsapp live cam sex service available
Call Girl Raipur 📲 9999965857 whatsapp live cam sex service availableCall Girl Raipur 📲 9999965857 whatsapp live cam sex service available
Call Girl Raipur 📲 9999965857 whatsapp live cam sex service available
 
ooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
ooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meetooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
ooty Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
 
Call Girls Service Faridabad 📲 9999965857 ヅ10k NiGhT Call Girls In Faridabad
Call Girls Service Faridabad 📲 9999965857 ヅ10k NiGhT Call Girls In FaridabadCall Girls Service Faridabad 📲 9999965857 ヅ10k NiGhT Call Girls In Faridabad
Call Girls Service Faridabad 📲 9999965857 ヅ10k NiGhT Call Girls In Faridabad
 
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
(Deeksha) 💓 9920725232 💓High Profile Call Girls Navi Mumbai You Can Get The S...
 
Call Girls Service In Goa 💋 9316020077💋 Goa Call Girls By Russian Call Girl...
Call Girls Service In Goa  💋 9316020077💋 Goa Call Girls  By Russian Call Girl...Call Girls Service In Goa  💋 9316020077💋 Goa Call Girls  By Russian Call Girl...
Call Girls Service In Goa 💋 9316020077💋 Goa Call Girls By Russian Call Girl...
 
VIP Call Girl DLF Phase 2 Gurgaon (Noida) Just Meet Me@ 9711199012
VIP Call Girl DLF Phase 2 Gurgaon (Noida) Just Meet Me@ 9711199012VIP Call Girl DLF Phase 2 Gurgaon (Noida) Just Meet Me@ 9711199012
VIP Call Girl DLF Phase 2 Gurgaon (Noida) Just Meet Me@ 9711199012
 
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetSambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Sambalpur Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Call Girl Gorakhpur * 8250192130 Service starts from just ₹9999 ✅
Call Girl Gorakhpur * 8250192130 Service starts from just ₹9999 ✅Call Girl Gorakhpur * 8250192130 Service starts from just ₹9999 ✅
Call Girl Gorakhpur * 8250192130 Service starts from just ₹9999 ✅
 
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...
❤️Call girls in Jalandhar ☎️9876848877☎️ Call Girl service in Jalandhar☎️ Jal...
 
VIP Call Girl Sector 32 Noida Just Book Me 9711199171
VIP Call Girl Sector 32 Noida Just Book Me 9711199171VIP Call Girl Sector 32 Noida Just Book Me 9711199171
VIP Call Girl Sector 32 Noida Just Book Me 9711199171
 
Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...
Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...
Punjab❤️Call girls in Mohali ☎️7435815124☎️ Call Girl service in Mohali☎️ Moh...
 
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real MeetTirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
Tirupati Call Girls 👙 6297143586 👙 Genuine WhatsApp Number for Real Meet
 
Chandigarh Call Girls 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Chandigarh Call Girls 👙 7001035870 👙 Genuine WhatsApp Number for Real MeetChandigarh Call Girls 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Chandigarh Call Girls 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
 
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
 
Jaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
Jaipur Call Girls 9257276172 Call Girl in Jaipur RajasthanJaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
Jaipur Call Girls 9257276172 Call Girl in Jaipur Rajasthan
 
Krishnagiri call girls Tamil aunty 7877702510
Krishnagiri call girls Tamil aunty 7877702510Krishnagiri call girls Tamil aunty 7877702510
Krishnagiri call girls Tamil aunty 7877702510
 

Making surgical practice improvement easy

  • 1. Making Surgical practice improvement easy S Connor, M Sakowska, D MacKay, M Furlong, R Roberts CDHB and scOPe1 solutions
  • 2. Introduction • Key component to improving surgical outcomes for patients is ensuring completion of the audit cycle. • To do so requires • seamless mapping of the patient journey • Accurate collection of coded data • Leveraging of trusted data into meaningful information to the clinicians • To obtain buy in any change in process or involvement by clinicians must make their workflow process easier
  • 3. Aim • To create an electronic workflow for managing patient journey through surgical services • Process change must improve clinicians work flow • Create data that was as accurate and could be trusted by end viewer • Data to be captured once by person most likely to be able to verify its accuracy • Exportable to meet requirements of multiple end users
  • 4. Methods • Holistic approach to development • Especially individual and Dept. “clinical champions” • DHB • Developers • Non clinical champions: administrative and managerial • End users of potential data • Apply principles of lean thinking to design and workflow • Staggered roll out across surgical services as clinical champions came on board • Agile approach to new ideas
  • 5. What is ?A clinical audit and outcomes tool using workflow support to capture data Waiting List •Streamline entry •Visibility to surgeon •Real time accuracy Theatre Visualisation •E-whiteboard in Theatre •Ward viewer •Accurate Op List Post Op Note / Ward Instructions • Quicker for surgeons (template based) • Published to core clinical documents system • Core activity data captured (for list) Complications / M&M Meetings • Core Audit
  • 7. Waiting list: Creating visibility Time consuming process with lots of duplication and rework Major risk to Hospital both in terms of errors and financially Only visible by printing piece of paper Excel sheets to plan lists only book urgent patients no visibility over the rest Fill in Form
  • 8. • Tailor the form by job description • Ask only unique questions to the people who will provide most accurate response • Remove redundancy • Seek information in recognisable form and link back end to standard data sets (sno-med) • New functionality
  • 9. Managing Waiting Lists Expected Time Allows selection patient who been on list longest to be chosen next See several lists at a glance By creating visibility encourage FIFO Ensure fair and even access to Rx
  • 10. Operation Note Requires data entry Word template Can we do Better?
  • 11. Op Note with Data collected without need for data entry person, capture by leveraging off clinically useful application Audit Research M and M
  • 12. Synoptic notes • Common operations can have standardised data and definitions • Ensure complete information provided for the end user • Consult the users of the “Op note” • Re define what is an op notes function
  • 13. Uptake of synoptic notes: Laparoscopic cholecystectomy 0 20 40 60 80 100 120 140 160 180 1 7 13 19 25 31 37 43 49 55 61 67 73 79 85 91 97 103 109 115 121 127 133 139 145 151 157 163 Laparoscopic cholecystectomy Cumulative use of synoptic note since inception 100% Cumulative Sum 80% Method Time Pre-scope 3 days Scope template 1 day Synoptic 4 (3-8) minutes Time for op note to be viewable
  • 14. Increased Quality of note and ? changing practice 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Abx Retraction Rouviere's Peritoneal release Method Crit view Fascia Comparison of documentation of variables pre and post synoptic notes pre post
  • 16. Outcomes of M and M Tasks register with visibility over status 0 10 20 30 40 50 60 70 80 90 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Surgeon %ofmeetingattended Attendance (n=33 meetings) No. procedures with complications=432/4025 (11%) 66% Grade ≥3 5% discussed result in further action
  • 17. Audit
  • 18.
  • 20. Implementation at CDHB KEY Engagement / Induction Diag/ Procedures Complications Op Details Complications Good Compliance Initial Use Audit Achieved Anvanced Analysis e.g Outliers Full Partial Start Up Core Data Capture Reviews / Analysis General Surgery Anaesthetic Obs/Gynae Orthopaedics Plastics Neurosurgery Otolaryngology (ENT) Vascular Opthalmology Maxillo Facial Paediatrics Urology Start Up Core Data Capture Reviews / Analsyis
  • 21. Conclusion • Have successfully replaced a disconnected and non functioning paper based system into a seamless e-solution that is being fully implemented into surgical services at a major DHB • High degree of clinical buy in, uptake and engagement • Structured so standardised format but bespoke for granularity to make clinically useful • Make the front end easy and will capture data required from the people who can best provide most accurate data • Outcomes now trusted which can lead process for practice improvement