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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. Learning Objectives. At the completion of this presentation, the audience will be able to:
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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 © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
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.) © 2008 Board of Trustees of U of IL
IT and nursing safety • Medication error – smart pumps • Knowledge error – EBN (Evidence Based Nursing) • Procedural error – POC computing (Point Of Care) © 2008 Board of Trustees of U of IL
“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. © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
EMR © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
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. © 2008 Board of Trustees of U of IL
EMR in VHA – an early pioneer • CPRS (one component of VistA) was initially released in 1996; mandated nationally in 1999 © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
Historical context - CDS © 2008 Board of Trustees of U of IL
and the response? 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. 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. © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
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. © 2008 Board of Trustees of U of IL
Historical context - CPOE © 2008 Board of Trustees of U of IL
and the response? Berger RG, Kichak JP. CPOE: Helpful or harmful? JAMIA 2004;11:100-103. Koppel R, Metlay JP, Cohen A, et al. Role of CPOE systems in facilitating medication errors. JAMA 2005;293(10):1197-1203. 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. © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
CDS • Kawamoto K, et al. Improving clinical practice using CDSS: A systems review of trials to identify features critical to success. BMJ 2005 doi: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) © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
Ash JS, Sittig DF, Dykstra RH, Guappone K, Carpenter JD, Seshadri V. Categorizing the unintended sociotechnical consequences of CPOE.
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 © 2008 Board of Trustees of U of IL
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 © 2008 Board of Trustees of U of IL
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? © 2008 Board of Trustees of U of IL
References • For a copy of the reference list, contact me by email: valenta@uic.edu © 2008 Board of Trustees of U of IL
Questions? © 2008 Board of Trustees of U of IL