Clinical Decision Support Computerized Provider Order Entry (CPOE) 1.

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Presentation transcript:

Clinical Decision Support Computerized Provider Order Entry (CPOE) 1

CPOE Definition Rationale Best Practices for Implementation Usage Efficacy Challenges 2

Definition of CPOE From CPOE.org: “a computer system that allows direct entry of medical orders by the person with the licensure and privileges to do so” – Clinical decision support (CDS) is usually viewed as an essential component of CPOE to obtain its full potential E-Prescribing is a subset of full CPOE, with order entry limited to prescribing 3

CPOE exemplifies everything we have discussed about informatics It is about information, not technology It is used at the place where CDS can have the most impact – the writing of medical orders – “The single most expensive piece of hospital equipment is the doctor’s pen.” (Rosenthal, 1984) Issues essential in implementation relate to organizational structure, attention to workflow, provider autonomy, etc. But yes, technology is important! – System usability, response time, etc. 4

Rationale for CPOE Medical errors and patient safety – Common cause of injury and death (Kohn, 2000) – Up to two-thirds of the 62.4 prescribing errors per 1000 medication orders can potentially be detected and intercepted with CPOE (Bobb, 2004) Early decision support without full CPOE showed benefits – Test ordering reduced by displaying past results (Tierney, 1987) and costs (Tierney, 1990) – Antibiotic Assistant at LDS Hospital showed improved antibiotic selection, decreased costs, decreased ADEs, and decreased hospital length of stay (Evans, 1998) 5

Potential benefits of CPOE Improving health care processes (Kuperman, 2003) – Streamline order entry process Doses from menus, complete orders required – Provide information Show relevant lab results, guidelines, and guided dose algorithms – Perform checks e.g., drug-drug, drug-allergy, drug-lab, dose ceiling, and drug-patient characteristic 6

Best practices for implementing CPOE From Bates (2003) “Ten Commandments” for CDS – Speed is everything – Anticipate needs and deliver in real-time – Fit into workflow – Little things make a big difference – Physicians resist stopping – offer alternatives – Changing direction is easier than stopping – Simple interventions work best – Ask for only additional information that is needed – Monitor impact, obtain feedback, and modify – Manage and maintain knowledge 7

Best practices in organizations Organizational readiness essential, including (Kuperman, 2003) – Technology must be ready – Clinician buy-in, involvement, and training – Adequate support, especially at go-live – Prompt attention to problems Tool for readiness (Stablein, 2003) Previous adages against “big bang” (i.e., entire hospital going live at once) are being replaced by recognition that well-planned wide-scale rollouts can be successful (Thomas, 2006) – Though implementation of advanced CDS might be better if phased (Kuperman, 2007) 8

Other best practices Order sets (Payne, 2003; Bobb, 2007) – Streamline order entry by reducing steps for their input – Consist of directions, tests, and treatments for patient care based on diagnosis, treatment, or medical specialty category – Have ability to provide guideline-based (and evidence- based) care – Must be modifiable for local practices – Best managed at departmental and not institutional or individual level – can get clinicians to communicate better about consensus practices 9

CPOE screen from VA CPRS (Payne, 2003) 10

Challenges of implementing CPOE CPOE is not a mere computer application; it takes a whole organization to implement – Consensus statement: Ash, 2003 Implementation success dependent on “special people” (Ash, 2003) – Administrative leadership CEO – provides top-level support and vision CIO – select champions and possesses vision CMIO – interprets for and influences peers – Clinical leadership Champions – individuals who support process Opinion leaders – provide balanced view Curmudgeons – naysayers who can be constructive – Bridge/support staff – work for results 11

Usage of CPOE How measured – Availability – for use by physicians – Inducement – voluntary or required? – Participation – % of physicians using – Saturation – % of orders entered Most recent large-scale survey shows still modest (Ash, 2004) – Survey of 964 hospitals with 65% response rate – Availability – 10% complete, 6% partial, 84% not – Inducement – for those that had it, 46% required, 54% optional 12

Clinical benefits of CPOE Some early studies – 12.7% decrease in total charges, 0.9 days shorter length of stay (Tierney, 1993) – Nonintercepted serious medication errors decreased 55%, from 10.7 events per 1000 patient-days to 4.86 events; preventable ADEs were reduced by 17% (Bates, 1998) – Reduction in redundant laboratory tests (Bates, 1999) – Improved prescribing behavior of equally efficacious but less costly medications (Teich, 2000) – Improved use of “corollary orders” by 25% (Overhage, 1997) 13

Clinical benefits (cont.) Since then, a more mixed picture has emerged – In Pediatric Critical Care Unit, prescribing errors were nearly eliminated but many potential ADEs not detected by CDS still occurred (Potts, 2004) – In highly computerized Salt Lake City VA, found higher-than-expected incidence of ADEs (due to better monitoring?), with 27% attributed to the type that CPOE and CDS were supposed to eliminate (Nebeker, 2005) – In pediatric patients, commercial CPOE reduced nonintercepted serious errors by only 7%, with no change in injury rates, and numerous user interface problems identified (Walsh, 2008) 14

Clinical benefits (cont.) Analysis of six Massachusetts hospitals (Adams, 2008) – Baseline rate of preventable ADEs was 10.4% – CPOE with CDS estimated to reduce by 80% – Annual savings in average hospital could be $2.7 million – With investment ($2.1 million) and annual maintenance of CPOE ($435K), hospital could break even in 26 months Systematic review of all published studies (Ammenwerth, 2008) – 23 of 25 studies have shown relative reduction in error rate from % – 6 of 9 studies have shown relative reduction in potential ADEs by % – Studies of “home-grown” systems have achieved better results Another systematic review raised concerns that studies suffer from methodological problems, including internal and external validity (Weir, 2009) 15

Other research results of note Prescribers and pharmacists in VA centers had generally positive view of drug-drug interaction alerts but felt they should be accompanied by management alternatives and more information (Ko, 2007) Physicians express skepticism about the ability of CDS to reduce errors and concern about its impact on workflow (McAlearney, 2007) Formulary decision support systems lead to higher rate of use of “preferred” medications, including those equally efficacious but costing less (Fischer, 2008) – Estimated to save $845K per 100,000 patients 16

CPOE must include patient-specific CDS to be effective CPOE for drug-laboratory monitoring alerts found no difference in adhering to advice for intervention (CPOE) and control groups (Palen, 2006) – Alerting was passive and not targeted to specific actions (Wu, 2006) Clinical practice guidelines without patient specificity did not increase adherence in CPOE system (Asaro, 2006) 17