© 2008 board of trustees of u of il it and patient safety annette l. valenta, drph professor...

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© 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical and Health Information Sciences College of Applied Health Sciences UIC

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Page 1: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

© 2008 Board of Trustees of U of IL

IT and Patient Safety

Annette L. Valenta, DrPHProfessor

Associate Dean, Health Informatics and Technology

Biomedical and Health Information Sciences

College of Applied Health Sciences

UIC

Page 2: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

© 2008 Board of Trustees of U of IL

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Learning Objectives

At the completion of this presentation, the audience will be able to:• Summarize the sentinel articles on clinical informatics and

patient safety• Explain the conflicting findings in the context of

sociotechnical fit• Formulate guidelines that reframe implementation of clinical

informatics in support of patient safety with the goal of mitigating unintended consequences

Page 3: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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Errors and ADEs: IT tools can…

Improve communication Make knowledge more readily accessible Assist with calculations Perform checks in real time Assist with monitoring Provide decision support Require key pieces of information (dose, e.g.)

Page 4: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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IT and nursing safety

Medication error – smart pumps Knowledge error – EBN (Evidence Based Nursing)

Procedural error – POC computing

(Point Of Care)

Page 5: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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“the science and technologies involved in healthcare -- the knowledge, skills, care interventions, devices and drugs – have advanced more rapidly than our ability to deliver them safely, effectively, and efficiently”

– IOM. 2001. Crossing the Quality Chasm: A New Health System for the 21st Century.

Page 6: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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Definitions

EMR (Electronic Medical Record) – the set of databases (lab, pharmacy, radiology, clinical notes, etc.) that contains the health information for patients within a given institution or organization

CDS (Clinical Decision Support) component - software that makes relevant information available for clinical decision-making (clinical data, references, clinical guidelines, situation-specific advice)

CPOE (Computerized Physician Order Entry) component – enables clinicians to enter orders (tests, meds, dietary, etc.)

CCR (Computerized Clinical Reminder) – just-in-time reminders at the point of care that reflect evidence-based medicine guidelines

Page 7: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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EMR

Page 8: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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Historical context - EMR

“Medicine ought to be using modern technologies in order to better share information, in order to reduce medical errors, in order to reduce cost to our health care system by billions of dollars... Within ten years, every American must have a personal electronic medical record.”

President George W. Bush

Remarks at American Association of Community Colleges Annual Convention - April 26, 2004

Page 9: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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and the response?

Miller RH, Sim I. Physicians’ use of EMRs: Barriers and solutions. Health Affairs 2004;23(2):116 – 126.

Chaudhry B, Want J, Wu S, et al. Systematic review: Impact of HIT on quality, efficiency, and costs of medical care. Annals of Internal Medicine 2006;144:E12-E22.

Page 10: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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EMR in VHA – an early pioneer

CPRS (one component of VistA) was initially released in 1996; mandated nationally in 1999

Page 11: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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CDS

June 13, 2006 - AMIA publishes Roadmap for National Action on Clinical Decision Support• Recommended a series of activities to

ensure that optimal, usable, effective clinical decision support is widely available to providers, patients, individuals where and when they need it to make health care decisions

Page 12: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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Historical context - CDS

Page 13: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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and the response?

Kaushal R, Shojania KG, Bates DW. Effects of CPOE and CDSS on medication safety: A systematic review. Arch Intern Med 2003;163:1409-1416.

Garg AX, Adhikari NK, McDonald H, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: A systematic review. JAMA 2005 Mar 9; 293(10):1223-38.

Hunt DL, Haynes RB, Hanna SE, Smith K. Effects of computer-based clinical decision support systems on physician performance and patient outcomes: A systematic review. JAMA 1998;280(15):1339-1346.

Page 14: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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CCRs as CDS

In VHA, CCRs are an important function of the EMR

Reduces reliance on memory and presents clinical guidelines at point of care

Page 15: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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Studies at VHA

Effectiveness of CCRs related to• User interface/workflow problems• Increased workload• Time for documentation• Inapplicability of CCRs to practice• Limited staff training• More steps/longer to resolve = lower

adherence

Page 16: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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CCRs at VHA

Barriers• Lack of coordination• Using reminders at an inopportune time• Limited flexibility• Poor interface usability

Facilitators• Limiting # of reminders at a site• Strategic location of workstation• Integrating reminders into workflow• Ability to document system problems and receive

feedback

Page 17: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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CPOE

In 2005, only 4% of hospitals are in full compliance with CPOE; 17% have made good progress.

Government and larger teaching hospitals are more likely to have implemented CPOE.

Source: Cutler EM, Feldman NE, Hurwitz JR. US Adoption of Computerized Physician Order Entry Systems. Health Affairs 2005 Nov/Dec;24(6):1654 – 1655.

Page 18: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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Historical context - CPOE

Page 19: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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and the response?

Berger RG, Kichak JP. CPOE: Helpful or harmful? JAMIA 2004;11:100-103.

Han UU, Carcillo JA, Venkataraman ST, et al. Unexpected increased mortality after implementation of a commercially sold CPOE system. Pediatrics 2005;116:1506-1512.

Del Beccaro MA, Jeffries HE, Eisenberg MA, et al. CPOE implementation: No association with increased mortality rates in an ICU. Pediatrics 2006;118:290-295.

Koppel R, Metlay JP, Cohen A, et al. Role of CPOE systems in facilitating medication errors. JAMA 2005;293(10):1197-1203.

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Page 21: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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CDS recommendations

Kuperman GJ, et al. Medication-related clinical decision support in CPOE systems: A review. JAMIA 2007;14:29-40.

• Implementation must be done thoughtfully, taking into account staff workflow and needs of the organization

• Create clear concise alerts with sufficient information and clear appropriate action -- a human factors challenge

• Don’t generate large number of unhelpful alerts. Use a combination of commercial rule sets, rules other organization have developed, and rules about best practice.

• Prioritize the CDS features to implement, as the list of features is long

Page 22: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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CDS

Kawamoto K, et al. Improving clinical practice using CDSS: A systems review of trials to identify features critical to success. BMJ 2005doi:10.1136/bmj.38398.500764.8F (published 14 March 2005)

• Provide decision support automatically as part of workflow• Deliver decision support at the time and location of decision

making• Provide actionable recommendations• Use a computer to generate the decision support (improves

consistency and reliability)

Page 23: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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CDS

Bates DW, et al. Ten commandments for effective clinical decision support: Making the practice of evidence-based medicine a reality. JAMIA 2003;10:523-530.

• Speed is everything• Anticipate needs and delivery in real time• Fit into the user’s workflow• Improve usability to enable doing the right thing• Offer alternatives rather than insist on stopping an action

Page 24: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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CDS

Bates DW, et al. Ten commandments for effective clinical decision support: Making the practice of evidence-based medicine a reality. JAMIA 2003;10:523-530.

• Changing direction is easier than stopping (defaults, e.g.)• Simple interventions work best (single screen of info)• The more data elements requested, the less likely the

guideline will be implemented• Monitor impact, get feedback, and respond• Manage and maintain your knowledge-based system—keep

it up to date

Page 25: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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CDS

What are priority targets (types of errors, specific meds) How can CDS reinforce current efforts to reduce ADEs How can CDS target additional types of potential ADEs Focus on areas of risk for patient harm Be realistic in readiness for adoption Have policies and consistent approach about guiding vs.

directing care Have MD leadership and involvement Review each application periodically Worry about nuisance alerting Ensure timely updates

Page 26: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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CPOE

Bobb A, et al. The epidemiology of prescribing errors: The potential impact of CPOE. Arch Intern Med 2004;164:785 – 792.

• A CPOE with an advanced level of CDS is needed to prevent many of the prescribing errors with the greatest potential to lead to patient harm.

– Basic = drug-allergy, drug-drug interaction & duplicate therapy checking, basic dosing guidance, formulary decision support

– Advanced = dosing for renal insufficiency and geriatric patients, guidance for medication-related lab testing, drug-pregnancy and drug-disease contraindication checking

Page 27: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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CPOE Campbell EM, Sittig DF, Ash JS, Guappone KP, Dykstra RH. Types of

unintended consequences related to CPOE. JAMIA 2006;13:547-556. Ash JS, Sittig DF, Poon EG, Guappone K, Campbell E, Dykstra RH. The extent

and importance of unintended consequences related to CPOE. JAMIA 2007;14:415 - 423.

• More/new work for clinicians– Reduce redundancy in info collection, display relevant info in

logical locations, reduce keyboarding• 72% said it was a moderate to very important issue

• Unfavorable workflow issues– Model clinical workflow wherever possible

• 87% said it was a moderate to very important issue

• Never ending system demands– Reassess quality assurance measures and user retraining

• 82% said it was a moderate to very important issue

Page 28: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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CPOE

Campbell EM, Sittig DF, Ash JS, Guappone KP, Dykstra RH. Ash JS, Sittig DF, Poon EG, Guappone K, Campbell E, Dykstra RH.

• Problems related to paper persistence– Paper is here to stay for utilitarian purposes (note jotting)

• Untoward changes in communication patterns and practices– As Del Baccaro wrote: CPOE does not replace talking!

• 84% said it was a moderate to very important issue

• Negative emotions– Training and communication help

• 80% said it was a moderate to very important issue

Page 29: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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CPOE

Campbell EM, Sittig DF, Ash JS, Guappone KP, Dykstra RH. Ash JS, Sittig DF, Poon EG, Guappone K, Campbell E, Dykstra RH.

• Generation of new kinds of errors– Be thoughtful in interface design

• 9% not a problem; 47% said it was a moderate to very important issue

• Unexpected changes in power structure– Recognize and deal with it explicitly during planning – may

require re-negotiation of processes between groups• 36% not a problem; 29% less important; 36% said it was a moderate

to very important issue

• Overdependence on the technology– Plan for management of unexpected downtime

• 82% indicate as dependency increases, downtime gets worse

Page 30: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

Ash JS, Sittig DF, Dykstra RH, Guappone K, Carpenter JD, Seshadri V. Categorizing the unintended sociotechnical consequences of CPOE.

Page 31: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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CPOE

Motivation for implementation CPOE vision, leadership, personnel Costs Workflow, health care processes Value to users/DSS Project mgmt/staging of implementation Technology Training and support 24x7 Learning/evaluation/improvement

Page 32: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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Technical systems have social consequences

Social systems have technical consequences

We don’t design technology, we design sociotechnical systems

To design sociotechnical systems, we must understand how people and technologies interact

Page 33: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical
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Future research

To what extent does alerting impact clinical behavior and patient outcomes?

What is the optimal way to present alerts to prescribers?

How can clinicians’ sense of satisfaction with alerts and other DS be increased?

When does “alert fatigue” happen? Which member of the health care team—MD,

RN, PharmD, other—is the best recipient of an alert?

Page 35: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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References

For a copy of the reference list, contact me by email: [email protected]

Page 36: © 2008 Board of Trustees of U of IL IT and Patient Safety Annette L. Valenta, DrPH Professor Associate Dean, Health Informatics and Technology Biomedical

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