![]() |
Physician Order Entry with Meditech prepared by for Physician Order Entry (POE)-General Introduction The purpose of this document is to educate readers on the state of the art of POE in general and with Meditech in particular. Information regarding successful and failed implementations is given so the decision can be made whether or not to proceed with POE at MDMC. POE has received intense interest by physicians and hospital administrators over the last decade. It has been perceived as the gateway to decreasing costs, capturing charges and increasing quality through computerized interventions at the time of order-entry. For outpatients POE has different applications, physician incentives and history compared with inpatients. The findings reported in this paper, except for Meditech order entry, are for the hospital setting only, and are not applicable to outpatients. The potential advantages of POE are so large that its widespread adoption seems inevitable. In fact, POE may be required by federal regulation, due to the recent national interest in reducing medical errors (ref. 1). Illegibility of physician handwriting is becoming less tolerated both by the public and by health care professionals. Also the potential financial advantages are appealing to administrators in the inpatient setting and to physicians for outpatient charge capture. Several Fortune 500 companies benefit plans are adopting standards for POE that are required for doing business with them (ref. 2). Physician order entry is one progress point towards the electronic medical record, large database storage and retrieval of data from many patient electronic medical records (ref. 3). The data can be used to help clinicians associate key information in the database. Linking regional and local health databases are part of the National Health Initiative (ref. 3). Required national privacy requirements (HIPAA) for patient information are to be published soon and will likely speed the use of data in the databases. The interest in POE locally and nationwide has focused on inpatient medication order entry, as it has been shown to decrease costs significantly and also improve quality (ref. 4, 5,6,7,8). Characteristics of Optimal Computer Interventions for Medication Orders Although all optimal interventions are rarely achieved simultaneously with hospital information system solutions, even minimal interventions produce dramatic improvements (ref. 6). Optimally, each medication order is checked by computer and informs the physician at the time of the order, of the following:
Benefits of POE Over 50% of medication errors are due to MD orders and transcription errors. (ref 1). About 1 in 100 medication errors results in an ADE (ref. 5). Medication errors cause considerable extra work. The cost of an ADE has been estimated at more than $2,000 per event (ref. 1, 4, and 5). It has been shown that POE substantially decreases non-missed-dose medication errors (decreased by 81%) because POE structured orders, facilitated their checking and they are legible. Tierney et al (ref. 8) demonstrated that POE on a medical service decreased average length of stay by 0.89 days and produced a 12.7% decrease in charges. Chin et al (ref. 6) embedded simple guidelines into POE. They showed a decrease in chest x-rays and the use of Zoloft, an expensive drug, as less costly alternatives were suggested at the time of POE. POE with adequate drug safety screening will be required by many of the nations Fortune 500 companies (ref 2) for contracts for healthcare for their employees. Disadvantages of POE Lee, et al, and Weiner, et al, (ref 9,10) report physician satisfaction with inpatient POE correlates with effects on their productivity, ease of use, speed, and off-floor availability. Surgeons were less satisfied than internists. Nurses valued legibility and accuracy of orders with POE. The need for computer terminals increases with POE. The need for programmers may increase as the order entry and decision making tools change in response to physician input. Typing skills, which many MD's do not have, facilitate the use of POE. POE Implementations-Successful Successful implementation characteristics are outlined in ref 11. They are as follows: ". . . the system must be fast and easy to use, the user interface must behave consistently in all situations, the institution must have broad and committed involvement and direction by clinicians prior to implementation, the top leadership of the organization must be committed to the project, and a group of problem solvers and users must meet regularly to work out procedural issues. " The reference analyzing an unsuccessful implementation (ref. 12) stresses the following points for success:
POE Implementations-Unsuccessful Massaro (ref 12) reports characteristics of unsuccessful implementation as follows:
A possible solution to some of these problems is this. Speech recognition has the most promise for solving significant time and acceptance issues for inpatient POE. No stand-alone product is on the market yet to meet these needs. Speech recognition technology has recently improved on its recognition rate of male voices to the point of acceptance by physicians. Lernout & Hauspie has a "Prescription Writer" embedded in its ED Solution Product. If this product has an acceptable track record with physicians and if it can be used with the L & H recently acquired Dragon product "Naturally speaking Mobile", only one 600 megahertz Pentium processor will be needed per nursing station for downloading scripts voice-recorded by doctors. Physician Order Entry-Meditech Specific A few(4) hospitals using Meditech POE for several years have been located. They are in Greenwich, CON, Juneau, Oakland and San Diego. All information received from 3 of them is summarized in Current Status, below. Current Status-Information from Current Users
Recommendations Consider two questions: (1.) Does POE "work"? (2.) Does the potential for decreased costs and improved quality warrant further efforts on the part of MDMC? (1.) POE does "work" in certain circumstances, as outlined in this paper. The required use of POE by physicians with illegible handwriting who do not type will fail and their goodwill to try other solutions will probably be diminished. Current users advise that requiring POE increases the chances of failure of the whole implementation. Implementing POE, even partially, is costly especially due the labor intensivity of designing the customer defined screens. Risk exists also in whether physicians will accept POE. The risk of lack of nursing acceptance and support of two separate order systems, paper and electronic, also is present. Risk of loss of the investment in labor costs is present if the hospital information system is changed. Advantages of POE are the increased efficiency in orders being carried out, decreased adverse drug events, decreased inappropriate and costly drug usage, and decreased variation in orders from one physician to the next. Given the current cost-reduction environment, the goal of POE implementation without addition of FTE's nor new work groups/committees is sought. Step-wise work on POE implementation assumes risk gradually and allows for abandonment or delay at any step. This approach allows the flexibility of taking advantage of the opportunities of POE, without ruling them out, while decreasing the associated risks. (2.) The potential for decreased costs and improved quality warrants further efforts by MDMC. The following sequential steps are recommended:
Summary Successful implementation of POE is highly culture dependent but promises numerous meaningful advantages. The characteristics of both failed and successful implementations are reviewed. Two current users were interviewed. One user similar to MDMC, Juneau, had success in partial implementation. With a gradual implementation plan to limit risks and keep open the opportunities to achieve the advantages, MDMC's chances for a successful partial implementation are enhanced. References: 1. To err is human: building a safer health system. Kohn LT, Corrigan JM Donaldson MS, editors. National Academy Press, 2000. 2. ISMP Medication Safety Alert! Jan 12, 2000. 3. Interim report: Toward a national health information infrastructure. Prepared by the national committee on vital and health statistics and the workgroup on the National health information infrastructure. June, 2000. 4. Bates DS. Using information technology to reduce rates of medication errors in hospitals. BMJ. 2000; 320: 788-791. 5. Bates DW, Teich JM, Lee J, Seger D, Kuperman GJ, Ma'Luf N, Boyle D, Leape L.The impact of computerized physician order entry on mediation error prevention. J. Am. Med. Inform. Assoc. 1999; 6:313-321. 6. Chin HL, Wallace P. Embedding guidelines into direct physician order entry: simple methods, powerful results. Proc AMIA Symp. 1999; 221-225. 7. Pestotnik SL, Classen DC, Evans RS, Burke JP. Implementing antibiotic practice guidelines through computer-assisted decision support: clinical and financial outcomes. Ann Intern Med. 1996; 124:884-890. 8. Tierney WM, Miller ME, Overhage JM, McDonald CJ. Physician inpatient order writing on microcomputer workstations: effects on resource utilization. JAMA. 1993; 269:379-383. 9. Lee F, Teich JM, Spurr DC, Bates DW. Implementation of physician order entry: user satisfaction and self-reported usage patterns. J. Am. Med. Inform. Assoc. 1996; 3: 42-55. 10. Weiner M, Gress T, Thiemann DR, Jenckes M Reel S, Mandell SF, Bass EB. Contrasting views of physicians and nurses about an inpatient computer-based provider order-entry system. 1999; 6: 234-244. 11. Sittig DF, Stead WW. Computer-based physician order entry: the state of the art. J. Am. Med. Inform. Assoc. 1994; 1:108-123. 12. Massaro TA.Introducing physician order entry at a major academic medical center: I. Impact on organization culture and behavior. Academic Medicine. 1993: 68; 20-25. Dr. Able is in practice with John Muir Health in Walnut Creek, California. To contact Dr. Able, email ermadene.able@johnmuirhealth.com.
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
© 1998-2008 Information Technology Optimizers |