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PubMed2003

Implementing computerized physician order entry: the importance of special people.

OBJECTIVE: To articulate important lessons learned during a study to identify success factors for implementing computerized physician order entry (CPOE) in inpatient and outpatient settings. DESIGN: Qualitative study by a multidisciplinary team using data from observation, focus groups, and both formal and informal interviews. Data were analyzed using a grounded approach to develop a taxonomy of patterns and themes from the transcripts and field notes. RESULTS: The theme we call Special People is explored here in detail. A taxonomy of types of Special People includes administrative leaders, clinical leaders (champions, opinion leaders, and curmudgeons), and bridgers or support staff who interface directly with users. CONCLUSION: The recognition and nurturing of Special People should be among the highest priorities of those implementing computerized physician order entry. Their education and training must be a goal of teaching programs in health administration and medical informatics.

Focus Groups↗
PubMed2005

Impact of prescription-term deregulation with revised medical service fees on drug therapy management.

The proclamation of April 2002 of a Ministry of Health, Labor and Welfare ordinance has enabled doctors to prescribe drugs for an outpatient without a limit on the length of prescription terms except for a few drugs. There is a concern that the prescription-term deregulation could cause careless drug therapy management in order to extend the interval between patient hospital visits. The purpose of this study is to make pre- and post-deregulation comparisons of two items, prescription terms and implementation of clinical examination that complied with package-insert precautions, and to discuss the approaches to increase safety. Prescription terms have lengthened progressively. In the pre-regulation period of January to March 2002, the mean prescription term was 19.9 days; in the post-regulation period of July to September 2002, it was 24.9 days; and in July to September 2003, 28.6 days. Even for anti-tumor agents, there were prescriptions over 90 days after deregulation. There was no significant difference between the pre- and post-deregulation compliance ratios for the package-insert precautions in eight drugs of investigated nine. However, one case had a delay in detection of liver dysfunction, which was caused by deviation from the once-a-month testing indicated in the package-insert precautions for prolonged prescription terms. The evidence suggested that the deregulation led to negligent drug therapy management. To assure safe therapy, the following should be addressed: first, sufficient function of a computerized prescriber order entry system and second, creation of a new framework with pharmacists' active involvement such as collaborative therapy management with physicians.

Ambulatory Care↗
PubMed1996

Implementation of HL7 to client-server hospital information system (HIS) in the University of Tokyo Hospital.

In developing a large-scale Hospital Information System (HIS), a client-server architecture has been gaining in popularity. It is important to introduce a standard message protocol that is independent both on the database structure and on the vender's proprietary platform. We introduced Health Level Seven (HL7) to our hospital information system. From our experiences, although we had to modify the original HL7 specifications in order to introduce the protocol to a client-server HIS especially in the area of order entry and record-oriented query, it was found that HL7 can be adopted in a client-server HIS.

Computer Communication Networks↗
PubMed1999

Outpatient order accuracy. A College of American Pathologists Q-Probes study of requisition order entry accuracy in 660 institutions.

CONTEXT: Laboratory test order entry errors potentially delay diagnosis, consume resources, and cause patient inconvenience. OBJECTIVE: To evaluate the frequency and causes of computer order entry errors in outpatients. DESIGN: Cross-sectional survey and prospective sample of errors. Participants answered questions about their test order entry policies and practices. They then examined a sample of outpatient requisitions and compared information on the requisition with information entered into the laboratory computer system. Order entry errors were divided into 4 types: tests ordered on the requisition, but not in the computer; tests performed but not ordered on the requisition; physician name discrepancies; and test priority errors. PARTICIPANTS: Six hundred sixty laboratories enrolled in the College of American Pathologists Q-Probes program. MAIN OUTCOME MEASURE: Overall order entry error rate. RESULTS: A total of 5514 (4.8%) of 114 934 outpatient requisitions were associated with at least 1 order entry error. The median participant reported 1 or more order errors on 6.0% of requisitions; 10% of institutions reported errors with at least 18% of requisitions. Of the 4 specific error types, physician name discrepancies had the highest error rate, and test priority errors the lowest error rate. Four institutional factors were significantly associated with higher overall error rates: orders verbally communicated to the laboratory; no policy requiring laboratory staff to compare a printout or display of ordered tests with the laboratory requisitions to confirm that orders had been entered correctly; failure to monitor the accuracy of outpatient order entry on a regular basis; and a higher percentage of occupied beds (ie, a busier hospital). CONCLUSIONS: Computer order entry errors are common, involving 5% of outpatient requisitions. Laboratories may be able to decrease error rates by regularly monitoring the accuracy of order entry, substituting written and facsimile orders for verbal orders, and instituting a policy in which orders entered into computer systems are routinely rechecked against orders on requisitions.

Ambulatory Care↗
PubMedDate not supplied

Crossing the quality chasm: the role of information technology departments.

Integrating information technology (IT) into medical settings is considered essential to transforming hospitals into 21st-century health care institutions. Yet the role of IT departments in maximizing the effectiveness of information systems is not well understood. This article reports a 3-round Delphi panel of Veterans Administration personnel experienced with provider order entry electronic systems. In round 1, 35 administrative, clinical, and IT personnel answered 10 open-ended questions about IT strategies and structures that best support successful transformation. In round 2, panelists rated item importance and ranked proposed strategies. In round 3, panelists received aggregate feedback and rerated the items. Four domains emerged from round 1: IT organization, IT performance monitoring, user-support activities, and core IT responsibilities (eg, computer security, training). In rounds 2 and 3, IT performance monitoring was rated the most important, closely followed by clinical support. Strategies associated with each domain are identified and discussed.

Adult↗
PubMed2002

Relational data model for the American College of Radiology Appropriateness Criteria.

This article describes a data model for encoding the American College of Radiology Appropriateness Criteria (ACRAC) for selection of diagnostic imaging procedures. These guidelines are recognized widely as an authoritative repository of "best evidence" concerning appropriate radiology tests for a large number of clinical conditions. In its current text document format, the ACRAC is of limited utility for electronic use. The data model the authors propose completely encodes all attributes and domains of the published guidelines and is suitable for translation into any industry standard relational database system. Additionally, the authors have added mappings onto commonly used procedure (CPT) and clinical problem (ICD) coding systems. When populated with the current ACRAC content, such a database could serve as the "master" repository of the guidelines with changes and additions made via an interface built with standard database application development tools. The database also could be made available for incorporation into existing information systems used for order entry, decision support, compliance tracking, and health services research at regional and national levels.

Databases, Factual↗
PubMed1998

Development of the electronic health record in Japan.

In Japan, the order entry system has been employed in almost all university hospitals and popularisation of this system has also started in medium-sized hospitals. However, there has been a tendency in general hospitals in Japan to consider the electronic chart system where there has been no order entry system. Moreover, in small-scale clinics, there is no benefit in using the order entry system. Young doctors in Japan are beginning to employ the electronic chart system directly for the first time, without experience with the order entry system. In this paper, the development of the hospital information system in Japan and that of the electronic health record system are described.

Computer Communication Networks↗
PubMed2005

Managing drugs safely.

There is hard data to show that newborn infants are more likely than adults to experience adverse reactions to drugs. Paradoxically, drug-related legislation to ensure safe and effective drug use in humans neglected neonates until 2002, when the Best Pharmaceuticals Act for Children was signed into law in the USA. The situation for neonates should now catch up with that for adults and neonates will be prescribed more licensed drugs in the near future. If we are to be able to analyze the underlying system errors to improve the safe use of drugs in the studied patient population, reporting of adverse drug events and reactions needs to happen in a blame free environment. In addition, computerized physician order entry will certainly further improve the current situation by preventing errors in ordering, transcribing, verifying, and transmitting medication orders.

Female↗
PubMed2003

Computerized physician order entry: helpful or harmful?

Computerized physician order entry (CPOE) is touted as a major improvement in patient safety, primarily as a result of the Institute of Medicine's 1999 report on medical errors and the subsequent formation of the "Leapfrog Group" of companies to preferentially direct their employees' health care to those institutions that install such systems (as part of directives that "Leapfrog" feels will improve patient care). Although the literature suggests that such systems have the potential to improve patient outcomes through decrease of adverse drug events, actual improvements in medical outcomes have not been documented. Installation of such systems could actually increase the number of adverse drug events and result in higher overall medical costs, particularly in the first few years of their adoption.

Drug Therapy, Computer-Assisted↗
PubMed1999

Frequency, consequences and prevention of adverse drug events.

Iatrogenic injuries are important because they are frequent and many may be preventable; those caused by therapeutic drugs are among the most frequent. While medication errors are common, most have little potential for harm. However, some errors, such as giving a patient a drug to which they have a known allergy, are more likely to cause injury. Error theory provides insights into the changes required to reduce medication error injury rates. Data from the Adverse Drug Event (ADE) Prevention study suggest that most serious errors occur at the ordering and dispensing stages, while another, smaller, proportion occur at the administration stage. These data suggest that physician computer-order entry, where physicians write orders on-line with decision support, including patient-specific information and alerts about potential problems, has the potential to significantly reduce the number of serious medication errors.

Australia↗
PubMedDate not supplied

Physician satisfaction with two order entry systems.

OBJECTIVES: In the wake of the Institute of Medicine report, To Err Is Human: Building a Safer Health System (LT Kohn, JM Corrigan, MS Donaldson, eds; Washington, DC: National Academy Press, 1999), numerous advisory panels are advocating widespread implementation of physician order entry as a means to reduce errors and improve patient safety. Successful implementation of an order entry system requires that attention be given to the user interface. The authors assessed physician satisfaction with the user interface of two different order entry systems-a commercially available product, and the Department of Veterans Affairs Computerized Patient Record System (CPRS). DESIGN AND MEASUREMENT: A standardized instrument for measuring user satisfaction with physician order entry systems was mailed to internal medicine and medicine-pediatrics house staff physicians. The subjects answered questions on each system using a 0 to 9 scale. RESULTS: The survey response rates were 63 and 64 percent for the two order entry systems. Overall, house staff were dissatisfied with the commercial system, giving it an overall mean score of 3.67 (95 percent confidence interval [95%CI], 3.37-3.97). In contrast, the CPRS had a mean score of 7.21 (95% CI, 7.00-7.43), indicating that house staff were satisfied with the system. Overall satisfaction was most strongly correlated with the ability to perform tasks in a "straightforward" manner. CONCLUSIONS: User satisfaction differed significantly between the two order entry systems, suggesting that all order entry systems are not equally usable. Given the national usage of the two order entry systems studied, further studies are needed to assess physician satisfaction with use of these same systems at other institutions.

Attitude of Health Personnel↗
PubMed2000

Computer decision support systems.

Computer decision support systems are computer applications designed to aid clinicians in making diagnostic and therapeutic decisions in patient care. They can simplify access to data needed to make decisions, provide reminders and prompts at the time of a patient encounter, assist in establishing a diagnosis and in entering appropriate orders, and alert clinicians when new patterns in patient data are recognized. Decision support systems that present patient-specific recommendations in a form that can save clinicians time have been shown to be highly effective, sustainable tools for changing clinician behavior. Designing and implementing such systems is challenging because of the computing infrastructure required, the need for patient data in a machine-processible form, and the changes to existing workflow that may result. Despite these difficulties, there is substantial evidence from trials in a wide range of clinical settings that computer decision support systems help clinicians do a better job caring for patients. As computer-based records and order-entry systems become more common, automated decision support systems will be used more broadly.

Computer Systems↗
PubMed1999

Planning and managing computerized order entry: a case study of IT-enabled organizational transformation.

This article uses a model for technology-enabled organizational transformation to analyze a case study of computerized order entry at a medium-sized, urban hospital. The hospital achieved initial goals for direct order entry by physicians and improvements in patient care and is now using the system to implement disease management policies. The authors use the model to examine decisions and actions that facilitated or constrained effective implementation of the system and discuss the model's implications for managing implementation of computerized order entry technologies in health care systems.

Decision Support Systems, Clinical↗
PubMed1999

[Knowledge-based diagnosis and therapeutic recommendations with fuzzy-set theory methods in patients with acute lung failure (ARDS)].

OBJECTIVE: Since the treatment of patients with severe ARDS using the extracorporal lung assist (ECLA) methods remains a cost intensive and speculative procedure, a knowledge based computer system should be created and evaluated in order to support clinical decisions. METHODS: The model was based on the fuzzy set theory and therefore able to give decisions between yes and no, that means that a criterion could also be fulfilled to 35% or 80% for example. The development of this computer program consists of two steps: first, the entry criteria for the ECLA therapy were established within a framework of an international evaluation of clinical data from 3 centres (Berlin, Marburg, Vienna). Here, inherent vagueness, uncertainty of the occurrence and limited availability of medical data are to be considered to establish a useful tool. Secondly, this was done by grouping and weighting of parameters by the system and the status of each patient or patient group was assigned by the percentage of fulfillment of the criterion. RESULTS: By using a mixed sample of patients from these three centres, the fulfillment of entry criteria according either to definitions of Berlin or to definition of Marburg was different (68% versus 36%). Other differences (36% vs. 22% and 68% vs. 60%) were found between the fuzzy based score and the crisp score which represents the usually performed method. CONCLUSIONS: This now preevaluated minimal data set to describe severe ARDS patients based on the fuzzy set theory may be useful to evaluate patients for ECLA therapy or for another controlled ARDS-therapy.

Acute Disease↗
PubMed1994

Four proposals for market-based health care system reform.

A perfectly free, competitive medical market would not meet many social goals, such as universal access to health care. Micromanagement of interactions between patients and providers does not guarantee quality care and frequently undermines that relationship, to the frustration of all involved. Furthermore, while some North American health care plans are less expensive than others, none have reduced the medical inflation rate to equal the general inflation rate. Markets have always fixed uneven inflation rates in other domains. The suggested reforms could make elective interactions between patients and providers work more like a free market than did any preceding system. The health and life insurance plan creates cost-sensitive consumers, informed by a corporation with significant research incentives and abilities. The FFEB proposal encourages context-sensitive pricing, established by negotiation processes that weigh labor and benefit. Publication of providers' expected outcomes further enriches the information available to consumers and may reduce defensive medicine incentives. A medical career ladder would ease entry and exit from medical professions. These and complementary reforms do not specifically cap spending yet could have a deflationary impact on elective health care prices, while providing incentives to maintain quality. They accomplish these ends by giving more responsibility, information, incentives, and choice to citizens. We could provide most health care in a marketlike environment. We can incorporate these reforms in any convenient order and allow them to compete with alternative schemes. Our next challenge is to design, implement, and evaluate marketlike health care systems.

Education, Medical↗
PubMed1969

Thesaural problems in an on-line system.

This paper describes the construction of a synonym thesaurus or entry vocabulary for the SUNY Biomedical Communication Network, which will permit the user greater ease of access to the MeSH-indexed material without previously consulting a printed list of indexing terms. In order to discover the actual terminology used by a researcher, words were extracted from titles of articles appearing in Index Medicus, and compared with the subject heading under which they appeared. As well as strict synonyms, grammatical variants were also included. Work is continuing on relating other indexing vocabularies, such as Excerpta Medica and Current Medical Terminology, used in the biomedical world to MeSH terms.

Computers↗
PubMed2002

Impact of a physician's order entry (POE) system on physicians' ordering patterns and patient length of stay.

OBJECTIVE: To investigate the impact of a physician's order entry (POE) system on physicians' ordering patterns and patient length of stay. DESIGN: Prospective time series study at pre-POE, 3 months and 6 months after POE at a tertiary teaching hospital in Korea. The study period was from June 1999 to May 2000. MEASUREMENTS: The number of orders (doctor's, PRN, medication, changed, canceled orders), number of tests (complete blood count, chemistry, chest X-ray, stat laboratory, serum electrolytes tests), appropriateness and length of patient stay were measured through chart review of 171 in-patients (liver disease, renal disease, gastrectomy, simple mastectomy). RESULTS: The number of doctors' orders, PRN, and medication orders significantly increased after POE. The numbers of changed and canceled orders were not significantly different between pre- and post-POE. The number of stat lab tests significantly decreased after POE. There was no change in appropriateness of patients' hospital stay between pre- and post-POE. Length of stay significantly decreased (P=0.049). CONCLUSION: POE contributed to improving the quality of care in two ways: improvement of auditability by recording the medical services for patients in more precise and transparent manner, and more appropriate utilization of resources by decreasing the number of stat diagnostic tests and length of stay.

Analysis of Variance↗