SlideShare a Scribd company logo
© 2005 Dr Pankaj Gupta | Slide 1 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
CLOSED LOOP
MEDICATION
ADMINISTRATION
Clinical Decision
Support and Patient
Safety – CPOE, BCMA
standards
Dr Pankaj Gupta
Contact:
Dr_pankajgupta@yahoo.com
@pankajguptadr
© 2005 Dr Pankaj Gupta | Slide 3 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Agenda:
 Healthcare-IT Evolution
 IOM study and CPOE
 Leapfrog group formed
 Examples of CPOE
 FCG Application – CPOE Evaluation
 Question…
© 2005 Dr Pankaj Gupta | Slide 4 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Healthcare-IT Evolution
EVIDENCE
BASED
MEDICINE
Stand Alone
Application
Knowledge
Management
Integrated
HIS
Computerized Patient Records
• CPOE
• Data Mining
• Knowledge Base
CONSUMER
RELATIONSHIP
MANAGEMENT
ENTERPRISE
INTEGRATION
DEPARTMENT
WORKFLOW
AUTOMATION
DATA
CAPTURE
Hospital IT Infrastructure
•Document Management
•Reliability Improvement
•Save Time
• Knowledge-Driven
• Clinical pathways
• Disease management
• Outcomes measurement
Collector Documentor Mentor
Colleague
Helper
• Personalization
• Web based portals
• Disease Prevention
EFFICIENCY
QUALITY
OF
CARE
BUSINESS
VALUE
•Transaction
•one dimensional
© 2005 Dr Pankaj Gupta | Slide 5 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
© 2005 Dr Pankaj Gupta | Slide 6 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
CPOE for Medication, Laboratory, and Radiology Orders
Objective • CPOE for medication, laboratory, and radiology
orders
• Entered by licensed healthcare professional
• Per state, local, and professional guidelines
Measure • Currently using CPOE
• > 60% of medication orders
• > 30% of laboratory orders
• > 30% of radiology orders
Source: [ ]. Eligible hospital or CAH inpatient or emergency department (POS 21 or 23) during EHR reporting period 6
© 2005 Dr Pankaj Gupta | Slide 7 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
7
Electronic Medication Administration Record — EMAR
Objective • Automatically track medications from order
to administration
Measure • > 10% of medication orders
• CAH inpatient or emergency dept.
• During EHR reporting period
• Where all doses are tracked using eMAR
Exclusion • Average daily inpatient < 10
© 2005 Dr Pankaj Gupta | Slide 8 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Clinicians can give orders anywhere in the
hospital as they are ubiquitous beings
56% of medication errors occur at time of order*
However medical errors can occur anywhere and need to be prevented
*Source: Bates et al JAMA 1995; 274:29-34.
56%
© 2005 Dr Pankaj Gupta | Slide 9 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
CPOE Orders
© 2005 Dr Pankaj Gupta | Slide 10 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Dispense at Pharmacy
© 2005 Dr Pankaj Gupta | Slide 11 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Nursing Station
© 2005 Dr Pankaj Gupta | Slide 12 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Medication Administration
© 2005 Dr Pankaj Gupta | Slide 13 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
A Story of Errors
A problematic scenario …
• While assessing a patient recovering from a heart
condition, the physician discovers a patient allergy
to the current medication
• Physician orders alternative medication
• Pharmacist dispenses previous medication, unaware
of the new order
• Nurse administers medication without notification of
the change
• Executive lacks solid data to analyze in effort to
prevent future error
Patient becomes a victim of preventable error
© 2005 Dr Pankaj Gupta | Slide 14 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
The Consequences of Error
Likely Scenario:
 Additional days in hospital
 Added costs
Worst Case Scenario:
 Patient dies
 Possible lawsuit
 Institutional black mark
You can do something about it.
© 2005 Dr Pankaj Gupta | Slide 15 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Integrated System
• While assessing a patient
recovering from a heart condition,
the physician discovers a patient
allergy to the current medication
• Physician orders alternative
medication
• Pharmacist dispenses previous
medication, unaware of the new
order
• Nurse administers medication
without notification of the change
• Executive lacks solid data to
analyze in effort to prevent future
error
• Patient becomes a victim of
preventable error
Disparate System
•While ordering a medication for a
patient admitted with a heart
condition, a physician receives an
alert
•System recognizes a patient allergy
documented by the nurse
•Physician chooses an alternate
drug and modifies the order
•Pharmacist notified of change,
dispenses the correct medication
•Nurse administers correct drug and
documents administration time
•Executive collects better data for
clinical and business analysis
•A positive patient outcome
Integrated Enterprise
IOM Study And CPOE
© 2005 Dr Pankaj Gupta | Slide 17 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
IOM study “To Err Is Human”
 44,000 to 98,000 people die in US hospitals each year as a result of medical errors that
could have been prevented (according to IOM report based on estimates from two major studies.)
 Preventable medical errors in hospitals exceed attributable deaths to such feared threats as
motor-vehicle wrecks, breast cancer, and AIDS.
Medical errors can be defined as the failure of a
planned action to be completed as intended or the use
of a wrong plan to achieve an aim.
Most common Iatrogenic causes are:
•Adverse drug events
•Improper transfusions,
•Surgical injuries and wrong-site surgery,
•Burns, pressure ulcers,
•Mistaken patient identities.
High error rates with serious consequences are most
likely to occur in ICU, OT, and E Wards.
Total cost of errors is between $17 - $29 billion per
year in US hospitals nationwide. (including expense
of additional care, lost income, lost productivity and
disability)
IOM Study —
Leapfrog Group Formed
“Preventing errors and improving safety for patients
require a systems approach in order to modify the
conditions that contribute to errors.”
To Err is Human: Building a Safer Health System. Washington, DC, National Academy Press, 1999
© 2005 Dr Pankaj Gupta | Slide 19 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
The Leapfrog Group
 A consortium of fortune 500
companies
 Supported by other large
private and public healthcare
purchasers
 Healthcare purchases to be
based on principles that
encourage stringent patient
safety measures
Their goal is to initiate breakthroughs in the safety and quality
of health care in the US
www.leapfroggroup.org
© 2005 Dr Pankaj Gupta | Slide 20 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Initial Safety ‘Leap’ Summary
 An Rx for Rx
 Computer Physician Order Entry (CPOE)
 Up to 8 in 10 serious drug errors prevented
 Attempt to capture other erroneous orders as well
 Sick People Need Special Care
 ICU Daytime Staffing with CCM Trained M.D.
 risk-adjusted outcomes comparison
 > 10% mortality reduction
 Practice Makes Perfect
 Evidence-based Hospital Referral (EHR)
 risk-adjusted outcomes comparison
 > 20% mortality reduction for 7 complex treatments
© 2005 Dr Pankaj Gupta | Slide 21 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Why CPOE?
© 2005 Dr Pankaj Gupta | Slide 22 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
The LeapFrog Group Says:
 Assure that physicians enter at least 75% of medication orders via a computer system
that includes prescribing-error prevention software
 Demonstrate that their in-patient CPOE system can alert physicians of at least 50% of
common, serious prescribing errors, using a testing protocol now under development by
First Consulting Group and the Institute for Safe Medication Practices
 Require that physicians electronically document a reason for overriding an interception
prior to doing so
 Post the interception rate to leapfrog website
Examples of CPOE
© 2005 Dr Pankaj Gupta | Slide 24 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Drug Duplication
© 2005 Dr Pankaj Gupta | Slide 25 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Allergy
© 2005 Dr Pankaj Gupta | Slide 26 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Drug-Drug Interaction
© 2005 Dr Pankaj Gupta | Slide 27 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Drug-Food Interaction
© 2005 Dr Pankaj Gupta | Slide 28 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Order Category Examples of Erroneous Orders
Therapeutic
duplication
Order of Tinidazole when Metronidazole
is already being given
Allergies and cross-
allergies
Penicillin prescribed for patient with
documented Penicillin allergy
Contraindicated route
of administration
Gentamycin prescribed orally
Drug-drug and drug-
food interactions
Anti-hypertensives with diuretics; Digoxin
AND Quinidine; Doxycycline with milk
Contraindication/dos
e limits based on
patient diagnosis
Brufen in patient with asthma
Dose limits Any drug given in doses exceeding upper
limit
Contraindication
dose limits based on
patient age and
weight
Adult dose of Ciprofloxacin in a newborn
Contraindication/dos
e limits based on
laboratory studies
Normal adult dose Ciprofloxacin in
patient with elevated creatinine
Contraindication/dos
e limits based on
radiology studies
Medication prescribed known to interact
with iodine to be used as contrast
medium in ordered head CT exam
Corollary Ordering anti-coagulant without checking
for Bleeding Time
Cost of care Ordering hospital admission for a OPD
proceedure
Basic
Advanced
Expert
Alerts: basic, advanced, and expert levels
© 2005 Dr Pankaj Gupta | Slide 29 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
‘Even if there are alerts physicians can just
ignore them and go on with bad practices if
they want to.’
© 2005 Dr Pankaj Gupta | Slide 31 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
If you only know the clinical
information system has “alerts”
You DON’T know enough
about the system. . .
. . .You need to ask more
questions! :
 WHAT makes the rule fire [order, note, lab result, etc.]?
 When does the alert fire [fire before or after the order is committed to the database]?
 How does the rule get to the user [real time, slightly delayed or not until device is docked]?
 Any escalation intelligence or forward chaining of rules?
 Does the product track alerts and capture data for alert outcomes and statistics?
© 2005 Dr Pankaj Gupta | Slide 32 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Give Me That Message NOW!
Not to my pager in 30 seconds!
© 2005 Dr Pankaj Gupta | Slide 33 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
University of Virginia
 Hospital attempted to introduce mandatory CPOE in 1988
 Introduction went badly
 Although some technical issues, many were social
 Challenged basic institutional assumptions
 Forced people to modify established routines
 Time issues substantial
 Most physicians spent <1 hour/day
 Some on busy services spent >4 hours/day
Massaro T, Academic Medicine, 1993
CPOE Failures
© 2005 Dr Pankaj Gupta | Slide 34 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
 Implementation failed
 Application had to be turned off, even though it was working
 Physicians complained bitterly
 Said that too much unnecessary decision support was being
displayed
 Was slow
 Didn’t fit workflow
Cedars-Sinai CPOE Implementation
CPOE Failures
© 2005 Dr Pankaj Gupta | Slide 35 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
CPOE Adoption and Benefits
 David Bates MD, at Boston’s Brigham and Women’s Hospital,
demonstrated that CPOE reduced error rates by 55% — from 10.7 to
4.86 events per 1000 patient days.
 Length of stay at Wishard Memorial Hospital in Indianapolis fell by 0.9
days, and hospital charges fell by 13% after implementation of CPOE
 A recent study at Ohio State University also identified substantial
reductions in pharmacy, radiology, and laboratory turn-around times, and
there was a reduction in length of stay in one of the two hospitals studied
© 2005 Dr Pankaj Gupta | Slide 36 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
 Incentives
 Incentives paid for the implementation not the product
 Different Systems
 OP Orders and IP Orders in different systems
 Group of Hospitals may have different EMR
 Direct Orders
 Lab orders given directly to the Lab bypassing EMR
 Radiology orders given directly to Rad Lab
 Additional Orders
 Test/Imaging during the tests/procedure
 Imaging done with Dye or without Dye
 Denominator is elusive across systems!
 Confidence level vs. ROI
© 2005 Dr Pankaj Gupta | Slide 37 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
 Integration Issues - Data silos, Data Loss
 Hardware Issues - Wi-Fi, Scanner failures
 New Nurse not yet trained
 Retrospective catchup after Emergency
 Patient ID Bands cut off
 Miscoded medications
 Empty unit dose packages
 Delivered without scanning
 Damaged Bar Codes
 Override of Alerts
 Cost reduction ? ROI ?
© 2005 Dr Pankaj Gupta | Slide 38 ICMIT 27 Feb 05- 01 Mar 05
28 Feb 05
Questions?
THANKS!
Dr Pankaj Gupta
Head – ACCESS Health Digital
digital.health@accessh.org
Twitter: @pankajguptadr, @accesshdigital
LinkedIn: drpankajgupta, accesshdigital

More Related Content

PPT
Health IT Summit Atlanta 2014 - Keynote Presentation "Big Data, Value Analysi...
PPTX
Moving towards value based funding
PPTX
Indpendent Hospital Pricing Authority update
PPTX
Operational Aspects of Independent Reviews for Immune-Oncology Clinical Endpo...
PPTX
Trends in Early Development
PPTX
Effective Strategies for Successful Global Development
PDF
The Evolution of Drug Development and Market Access via Connected Data-Driven...
PPTX
Moving towards value based funding
Health IT Summit Atlanta 2014 - Keynote Presentation "Big Data, Value Analysi...
Moving towards value based funding
Indpendent Hospital Pricing Authority update
Operational Aspects of Independent Reviews for Immune-Oncology Clinical Endpo...
Trends in Early Development
Effective Strategies for Successful Global Development
The Evolution of Drug Development and Market Access via Connected Data-Driven...
Moving towards value based funding

What's hot (20)

PDF
Health IT Summit in Seattle 2014 – “Think Big, Act Small” with Deborah Dahl, ...
PPTX
Aligning on Patient Outcomes - How Market Dynamics Can Facilitate RWD Solutions
PPTX
Generating Evidence to Drive Patient Access
PPTX
Anatomy of a Pilot at Health 2.0 Provider Symposium - Optima
PPTX
FDA Initiatives Under The 21st Century Cures Act
PPTX
IT in Private Cardiology Practice, 2011
PPTX
Emergency care costing study and classification development
PDF
oncology white paper (web)
PPTX
1115 gary mooney national health-conference-eire-may15
PDF
Health informatics - Transforming healthcare delivery in hong kong
PPTX
Advanced Cardiology Treatment
PPTX
Presentation investing-in-medical-device-safety
PPTX
Posterior Segment Company Showcase - Aura Biosciences
PDF
Precision Oncology adoption: The future is now
PDF
Ocular
PDF
Experience from Phase 3 Study Using Risk- Based Monitoring and eSource Method...
PPTX
IT's not innocuous: the case for operational assurance of health IT
PPTX
Implementing American Heart Association Practice Standards for Inpatient ECG ...
PPTX
Data in the service of the Patient is Imporving Patient Outcomes and Patient ...
Health IT Summit in Seattle 2014 – “Think Big, Act Small” with Deborah Dahl, ...
Aligning on Patient Outcomes - How Market Dynamics Can Facilitate RWD Solutions
Generating Evidence to Drive Patient Access
Anatomy of a Pilot at Health 2.0 Provider Symposium - Optima
FDA Initiatives Under The 21st Century Cures Act
IT in Private Cardiology Practice, 2011
Emergency care costing study and classification development
oncology white paper (web)
1115 gary mooney national health-conference-eire-may15
Health informatics - Transforming healthcare delivery in hong kong
Advanced Cardiology Treatment
Presentation investing-in-medical-device-safety
Posterior Segment Company Showcase - Aura Biosciences
Precision Oncology adoption: The future is now
Ocular
Experience from Phase 3 Study Using Risk- Based Monitoring and eSource Method...
IT's not innocuous: the case for operational assurance of health IT
Implementing American Heart Association Practice Standards for Inpatient ECG ...
Data in the service of the Patient is Imporving Patient Outcomes and Patient ...
Ad

Similar to Closed loop medication administration (20)

PDF
Cpoe way forward
PPTX
Submit20your20 powerpoint20file20here joynerr12_attempt_2012-12-06-02-08-37_j...
PPTX
Pharmacy Informatics Complete
PPTX
Redesign Health Care Delivery
PPTX
Informatics Primer
PPTX
Using prescribing and medicines management data to improve patient safety, An...
PDF
German Brodskiy_Medication Errors
PDF
Ihe cpoe the_twine_shall_meet_for_healthcare
PPT
HL7: Clinical Decision Support
PDF
Final Research Report - CPOE (Tsourdinis)
PPT
Samson Health Informatics
PPTX
Medication safety 2011
PPTX
HOW TO MINIMIZE MEDICATION ERROR
PPTX
Meaningful use review slide share
PPT
Himss 10 Myths Of Pharmacy interoperability
PDF
Cpoe bibliography
 
PPTX
CPOE - Computerized Physician Order Entry
PPT
Health Informatics
PDF
The Challenge of Adoption
PPTX
Computerized physician order entry (CPOE)
Cpoe way forward
Submit20your20 powerpoint20file20here joynerr12_attempt_2012-12-06-02-08-37_j...
Pharmacy Informatics Complete
Redesign Health Care Delivery
Informatics Primer
Using prescribing and medicines management data to improve patient safety, An...
German Brodskiy_Medication Errors
Ihe cpoe the_twine_shall_meet_for_healthcare
HL7: Clinical Decision Support
Final Research Report - CPOE (Tsourdinis)
Samson Health Informatics
Medication safety 2011
HOW TO MINIMIZE MEDICATION ERROR
Meaningful use review slide share
Himss 10 Myths Of Pharmacy interoperability
Cpoe bibliography
 
CPOE - Computerized Physician Order Entry
Health Informatics
The Challenge of Adoption
Computerized physician order entry (CPOE)
Ad

More from ACCESS Health Digital (20)

PPTX
Governance healthcare financial lever
PDF
Startup bootcamp 3
PDF
Startup bootcamp 2
PDF
Oops concepts
PDF
Microservices
PDF
PDF
PDF
PDF
PDF
Federated architecture
PDF
E objects implementation
PDF
Design patterns
PDF
Database concepts
PDF
Computer networks
PDF
Cloud computing
PDF
MDDS & NDHB Principles
PDF
Health information exchange (HIE)
PDF
Health insurance information platform (hiip)
PDF
Health delivery information system [HDIS] MVP
PPTX
HCIT is different
Governance healthcare financial lever
Startup bootcamp 3
Startup bootcamp 2
Oops concepts
Microservices
Federated architecture
E objects implementation
Design patterns
Database concepts
Computer networks
Cloud computing
MDDS & NDHB Principles
Health information exchange (HIE)
Health insurance information platform (hiip)
Health delivery information system [HDIS] MVP
HCIT is different

Recently uploaded (20)

PDF
Khaled Sary- Trailblazers of Transformation Middle East's 5 Most Inspiring Le...
PPTX
Infection prevention and control for medical students
PPTX
Medical aspects of impairment including all the domains mentioned in ICF
PPTX
First aid in common emergency conditions.pptx
PDF
Priorities Critical Care Nursing 7th Edition by Urden Stacy Lough Test Bank.pdf
PDF
Pharmacology slides archer and nclex quest
PDF
A Brief Introduction About Malke Heiman
PPTX
PE and Health 7 Quarter 3 Lesson 1 Day 3,4 and 5.pptx
PPTX
Pulmonary Circulation PPT final for easy
PDF
NUTRITION THROUGHOUT THE LIFE CYCLE CHILDHOOD -AGEING
PDF
Structure Composition and Mechanical Properties of Australian O.pdf
PPT
Recent advances in Diagnosis of Autoimmune Disorders
PPT
KULIAH UG WANITA Prof Endang 121110 (1).ppt
PPT
Microscope is an instrument that makes an enlarged image of a small object, t...
PPTX
General Pharmacology by Nandini Ratne, Nagpur College of Pharmacy, Hingna Roa...
PPTX
Trichuris trichiura infection
PDF
MINERAL & VITAMIN CHARTS fggfdtujhfd.pdf
PPTX
HEMODYNAMICS - I DERANGEMENTS OF BODY FLUIDS.pptx
PDF
Dr. Jasvant Modi - Passionate About Philanthropy
PPTX
1. Drug Distribution System.pptt b pharmacy
Khaled Sary- Trailblazers of Transformation Middle East's 5 Most Inspiring Le...
Infection prevention and control for medical students
Medical aspects of impairment including all the domains mentioned in ICF
First aid in common emergency conditions.pptx
Priorities Critical Care Nursing 7th Edition by Urden Stacy Lough Test Bank.pdf
Pharmacology slides archer and nclex quest
A Brief Introduction About Malke Heiman
PE and Health 7 Quarter 3 Lesson 1 Day 3,4 and 5.pptx
Pulmonary Circulation PPT final for easy
NUTRITION THROUGHOUT THE LIFE CYCLE CHILDHOOD -AGEING
Structure Composition and Mechanical Properties of Australian O.pdf
Recent advances in Diagnosis of Autoimmune Disorders
KULIAH UG WANITA Prof Endang 121110 (1).ppt
Microscope is an instrument that makes an enlarged image of a small object, t...
General Pharmacology by Nandini Ratne, Nagpur College of Pharmacy, Hingna Roa...
Trichuris trichiura infection
MINERAL & VITAMIN CHARTS fggfdtujhfd.pdf
HEMODYNAMICS - I DERANGEMENTS OF BODY FLUIDS.pptx
Dr. Jasvant Modi - Passionate About Philanthropy
1. Drug Distribution System.pptt b pharmacy

Closed loop medication administration

  • 1. © 2005 Dr Pankaj Gupta | Slide 1 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 CLOSED LOOP MEDICATION ADMINISTRATION
  • 2. Clinical Decision Support and Patient Safety – CPOE, BCMA standards Dr Pankaj Gupta Contact: Dr_pankajgupta@yahoo.com @pankajguptadr
  • 3. © 2005 Dr Pankaj Gupta | Slide 3 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Agenda:  Healthcare-IT Evolution  IOM study and CPOE  Leapfrog group formed  Examples of CPOE  FCG Application – CPOE Evaluation  Question…
  • 4. © 2005 Dr Pankaj Gupta | Slide 4 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Healthcare-IT Evolution EVIDENCE BASED MEDICINE Stand Alone Application Knowledge Management Integrated HIS Computerized Patient Records • CPOE • Data Mining • Knowledge Base CONSUMER RELATIONSHIP MANAGEMENT ENTERPRISE INTEGRATION DEPARTMENT WORKFLOW AUTOMATION DATA CAPTURE Hospital IT Infrastructure •Document Management •Reliability Improvement •Save Time • Knowledge-Driven • Clinical pathways • Disease management • Outcomes measurement Collector Documentor Mentor Colleague Helper • Personalization • Web based portals • Disease Prevention EFFICIENCY QUALITY OF CARE BUSINESS VALUE •Transaction •one dimensional
  • 5. © 2005 Dr Pankaj Gupta | Slide 5 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05
  • 6. © 2005 Dr Pankaj Gupta | Slide 6 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 CPOE for Medication, Laboratory, and Radiology Orders Objective • CPOE for medication, laboratory, and radiology orders • Entered by licensed healthcare professional • Per state, local, and professional guidelines Measure • Currently using CPOE • > 60% of medication orders • > 30% of laboratory orders • > 30% of radiology orders Source: [ ]. Eligible hospital or CAH inpatient or emergency department (POS 21 or 23) during EHR reporting period 6
  • 7. © 2005 Dr Pankaj Gupta | Slide 7 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 7 Electronic Medication Administration Record — EMAR Objective • Automatically track medications from order to administration Measure • > 10% of medication orders • CAH inpatient or emergency dept. • During EHR reporting period • Where all doses are tracked using eMAR Exclusion • Average daily inpatient < 10
  • 8. © 2005 Dr Pankaj Gupta | Slide 8 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Clinicians can give orders anywhere in the hospital as they are ubiquitous beings 56% of medication errors occur at time of order* However medical errors can occur anywhere and need to be prevented *Source: Bates et al JAMA 1995; 274:29-34. 56%
  • 9. © 2005 Dr Pankaj Gupta | Slide 9 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 CPOE Orders
  • 10. © 2005 Dr Pankaj Gupta | Slide 10 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Dispense at Pharmacy
  • 11. © 2005 Dr Pankaj Gupta | Slide 11 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Nursing Station
  • 12. © 2005 Dr Pankaj Gupta | Slide 12 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Medication Administration
  • 13. © 2005 Dr Pankaj Gupta | Slide 13 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 A Story of Errors A problematic scenario … • While assessing a patient recovering from a heart condition, the physician discovers a patient allergy to the current medication • Physician orders alternative medication • Pharmacist dispenses previous medication, unaware of the new order • Nurse administers medication without notification of the change • Executive lacks solid data to analyze in effort to prevent future error Patient becomes a victim of preventable error
  • 14. © 2005 Dr Pankaj Gupta | Slide 14 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 The Consequences of Error Likely Scenario:  Additional days in hospital  Added costs Worst Case Scenario:  Patient dies  Possible lawsuit  Institutional black mark You can do something about it.
  • 15. © 2005 Dr Pankaj Gupta | Slide 15 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Integrated System • While assessing a patient recovering from a heart condition, the physician discovers a patient allergy to the current medication • Physician orders alternative medication • Pharmacist dispenses previous medication, unaware of the new order • Nurse administers medication without notification of the change • Executive lacks solid data to analyze in effort to prevent future error • Patient becomes a victim of preventable error Disparate System •While ordering a medication for a patient admitted with a heart condition, a physician receives an alert •System recognizes a patient allergy documented by the nurse •Physician chooses an alternate drug and modifies the order •Pharmacist notified of change, dispenses the correct medication •Nurse administers correct drug and documents administration time •Executive collects better data for clinical and business analysis •A positive patient outcome Integrated Enterprise
  • 17. © 2005 Dr Pankaj Gupta | Slide 17 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 IOM study “To Err Is Human”  44,000 to 98,000 people die in US hospitals each year as a result of medical errors that could have been prevented (according to IOM report based on estimates from two major studies.)  Preventable medical errors in hospitals exceed attributable deaths to such feared threats as motor-vehicle wrecks, breast cancer, and AIDS. Medical errors can be defined as the failure of a planned action to be completed as intended or the use of a wrong plan to achieve an aim. Most common Iatrogenic causes are: •Adverse drug events •Improper transfusions, •Surgical injuries and wrong-site surgery, •Burns, pressure ulcers, •Mistaken patient identities. High error rates with serious consequences are most likely to occur in ICU, OT, and E Wards. Total cost of errors is between $17 - $29 billion per year in US hospitals nationwide. (including expense of additional care, lost income, lost productivity and disability)
  • 18. IOM Study — Leapfrog Group Formed “Preventing errors and improving safety for patients require a systems approach in order to modify the conditions that contribute to errors.” To Err is Human: Building a Safer Health System. Washington, DC, National Academy Press, 1999
  • 19. © 2005 Dr Pankaj Gupta | Slide 19 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 The Leapfrog Group  A consortium of fortune 500 companies  Supported by other large private and public healthcare purchasers  Healthcare purchases to be based on principles that encourage stringent patient safety measures Their goal is to initiate breakthroughs in the safety and quality of health care in the US www.leapfroggroup.org
  • 20. © 2005 Dr Pankaj Gupta | Slide 20 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Initial Safety ‘Leap’ Summary  An Rx for Rx  Computer Physician Order Entry (CPOE)  Up to 8 in 10 serious drug errors prevented  Attempt to capture other erroneous orders as well  Sick People Need Special Care  ICU Daytime Staffing with CCM Trained M.D.  risk-adjusted outcomes comparison  > 10% mortality reduction  Practice Makes Perfect  Evidence-based Hospital Referral (EHR)  risk-adjusted outcomes comparison  > 20% mortality reduction for 7 complex treatments
  • 21. © 2005 Dr Pankaj Gupta | Slide 21 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Why CPOE?
  • 22. © 2005 Dr Pankaj Gupta | Slide 22 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 The LeapFrog Group Says:  Assure that physicians enter at least 75% of medication orders via a computer system that includes prescribing-error prevention software  Demonstrate that their in-patient CPOE system can alert physicians of at least 50% of common, serious prescribing errors, using a testing protocol now under development by First Consulting Group and the Institute for Safe Medication Practices  Require that physicians electronically document a reason for overriding an interception prior to doing so  Post the interception rate to leapfrog website
  • 24. © 2005 Dr Pankaj Gupta | Slide 24 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Drug Duplication
  • 25. © 2005 Dr Pankaj Gupta | Slide 25 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Allergy
  • 26. © 2005 Dr Pankaj Gupta | Slide 26 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Drug-Drug Interaction
  • 27. © 2005 Dr Pankaj Gupta | Slide 27 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Drug-Food Interaction
  • 28. © 2005 Dr Pankaj Gupta | Slide 28 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Order Category Examples of Erroneous Orders Therapeutic duplication Order of Tinidazole when Metronidazole is already being given Allergies and cross- allergies Penicillin prescribed for patient with documented Penicillin allergy Contraindicated route of administration Gentamycin prescribed orally Drug-drug and drug- food interactions Anti-hypertensives with diuretics; Digoxin AND Quinidine; Doxycycline with milk Contraindication/dos e limits based on patient diagnosis Brufen in patient with asthma Dose limits Any drug given in doses exceeding upper limit Contraindication dose limits based on patient age and weight Adult dose of Ciprofloxacin in a newborn Contraindication/dos e limits based on laboratory studies Normal adult dose Ciprofloxacin in patient with elevated creatinine Contraindication/dos e limits based on radiology studies Medication prescribed known to interact with iodine to be used as contrast medium in ordered head CT exam Corollary Ordering anti-coagulant without checking for Bleeding Time Cost of care Ordering hospital admission for a OPD proceedure Basic Advanced Expert Alerts: basic, advanced, and expert levels
  • 29. © 2005 Dr Pankaj Gupta | Slide 29 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05
  • 30. ‘Even if there are alerts physicians can just ignore them and go on with bad practices if they want to.’
  • 31. © 2005 Dr Pankaj Gupta | Slide 31 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 If you only know the clinical information system has “alerts” You DON’T know enough about the system. . . . . .You need to ask more questions! :  WHAT makes the rule fire [order, note, lab result, etc.]?  When does the alert fire [fire before or after the order is committed to the database]?  How does the rule get to the user [real time, slightly delayed or not until device is docked]?  Any escalation intelligence or forward chaining of rules?  Does the product track alerts and capture data for alert outcomes and statistics?
  • 32. © 2005 Dr Pankaj Gupta | Slide 32 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Give Me That Message NOW! Not to my pager in 30 seconds!
  • 33. © 2005 Dr Pankaj Gupta | Slide 33 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 University of Virginia  Hospital attempted to introduce mandatory CPOE in 1988  Introduction went badly  Although some technical issues, many were social  Challenged basic institutional assumptions  Forced people to modify established routines  Time issues substantial  Most physicians spent <1 hour/day  Some on busy services spent >4 hours/day Massaro T, Academic Medicine, 1993 CPOE Failures
  • 34. © 2005 Dr Pankaj Gupta | Slide 34 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05  Implementation failed  Application had to be turned off, even though it was working  Physicians complained bitterly  Said that too much unnecessary decision support was being displayed  Was slow  Didn’t fit workflow Cedars-Sinai CPOE Implementation CPOE Failures
  • 35. © 2005 Dr Pankaj Gupta | Slide 35 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 CPOE Adoption and Benefits  David Bates MD, at Boston’s Brigham and Women’s Hospital, demonstrated that CPOE reduced error rates by 55% — from 10.7 to 4.86 events per 1000 patient days.  Length of stay at Wishard Memorial Hospital in Indianapolis fell by 0.9 days, and hospital charges fell by 13% after implementation of CPOE  A recent study at Ohio State University also identified substantial reductions in pharmacy, radiology, and laboratory turn-around times, and there was a reduction in length of stay in one of the two hospitals studied
  • 36. © 2005 Dr Pankaj Gupta | Slide 36 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05  Incentives  Incentives paid for the implementation not the product  Different Systems  OP Orders and IP Orders in different systems  Group of Hospitals may have different EMR  Direct Orders  Lab orders given directly to the Lab bypassing EMR  Radiology orders given directly to Rad Lab  Additional Orders  Test/Imaging during the tests/procedure  Imaging done with Dye or without Dye  Denominator is elusive across systems!  Confidence level vs. ROI
  • 37. © 2005 Dr Pankaj Gupta | Slide 37 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05  Integration Issues - Data silos, Data Loss  Hardware Issues - Wi-Fi, Scanner failures  New Nurse not yet trained  Retrospective catchup after Emergency  Patient ID Bands cut off  Miscoded medications  Empty unit dose packages  Delivered without scanning  Damaged Bar Codes  Override of Alerts  Cost reduction ? ROI ?
  • 38. © 2005 Dr Pankaj Gupta | Slide 38 ICMIT 27 Feb 05- 01 Mar 05 28 Feb 05 Questions?
  • 39. THANKS! Dr Pankaj Gupta Head – ACCESS Health Digital digital.health@accessh.org Twitter: @pankajguptadr, @accesshdigital LinkedIn: drpankajgupta, accesshdigital