Evaluation of vocabularies for electronic laboratory reporting to public health agencies.
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Clinical laboratories and clinicians transmit certain laboratory test results to public health agencies as required by state or local law. Most of these surveillance data are currently received by conventional mail or facsimile transmission. The Centers for Disease Control and Prevention (CDC), Council of State and Territorial Epidemiologists, and Association of Public Health Laboratories are preparing to implement surveillance systems that will use existing laboratory information systems to transmit electronic laboratory results to appropriate public health agencies. The authors anticipate that this will improve the reporting efficiency for these laboratories, reduce manual data entry, and greatly increase the timeliness and utility of the data. The vocabulary and messaging standards used should encourage participation in these new electronic reporting systems by minimizing the cost and inconvenience to laboratories while providing for accurate and complete communication of needed data. This article describes public health data requirements and the influence of vocabulary and messaging standards on implementation. (+info)
The influence of an expert system for test ordering and interpretation on laboratory investigations.
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BACKGROUND: The Laboratory Advisory System (LAS) is an expert system interface that works interactively with clinicians to assist them with test selection and result interpretation throughout the laboratory investigation of a patient. METHODS: To study the influence of the LAS on laboratory investigations, a repeated-measures experiment using clinical vignettes was conducted. To collect baseline data on how laboratory investigations are currently conducted, clinicians investigated one-half of the vignettes using a conventional (noncomputer) approach. To determine the influence of the LAS on clinicians' behavior, the other half of the vignettes were investigated using the LAS. RESULTS: Clinicians using the LAS (compared with conventional practice) ordered fewer laboratory tests during the diagnostic process (mean, 17.8 vs 32.7), completed the diagnostic workup with fewer sample collections (mean, 5.8 vs 7.5), generated lower laboratory costs (mean, $194 vs $232), shortened the time required to reach a diagnosis (mean, 1 day vs 3.2 days), showed closer adherence to established clinical practice guidelines, and exhibited a more uniform and diagnostically successful investigation. CONCLUSION: The LAS enhances the outcome of the investigation and improves laboratory utilization. (+info)
Maximizing efficacy of endocrine tests: importance of decision-focused testing strategies and appropriate patient preparation.
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The efficacy of endocrine tests depends on the choice of tests, the preparation of the patients, the integrity of the specimens, the quality of the measurements, and the validity of the reference data. Close dialogue among the clinicians, the laboratory, and the patients is a key factor for optimal patient care. The characteristics of urine and plasma samples and the advantages and limitations of paired test measurements are presented. The importance of test sequence strategies, provocative or inhibitory procedures, and elimination of drug interferences is illustrated with four cases involving Cushing syndrome, pheochromocytoma, primary aldosteronism, and hypercalcemia. For each of these scenarios, key clinical issues are highlighted, along with discussions of the best test strategies, including which medications are likely to interfere. The importance of targeting laboratory tests to answer well-focused clinical decisions is emphasized. The roles of some time-honored provocative procedures are questioned in light of more sensitive and specific analytic methods. The importance of decision-focused analytical tolerance limits is emphasized by demonstrating the impact of analytic bias on downstream medical resource utilization. User-friendly support systems to facilitate the implementation of test strategies and postanalytic tracking of patient outcomes are presented as essential requirements for quality medical practice. (+info)
A new architecture for enterprise information systems.
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Irresistible economic and technical forces are forcing healthcare institutions to develop regionalized services such as consolidated or virtual laboratories. Technical realities, such as the lack of an enabling enterprise-level information technology (IT) integration infrastructure, the existence of legacy systems, and non-existent or embryonic enterprise-level IT services organizations, are delaying or frustrating the achievement of the desired configuration of shared services. On attempting to address this matter, we discover that the state-of-the-art in integration technology is not wholly adequate, and itself becomes a barrier to the full realization of shared healthcare services. In this paper we report new work from the field of Co-operative Information Systems that proposes a new architecture of systems that are intrinsically cooperation-enabled, and we extend this architecture to both the regional and national scales. (+info)
Knowledge-mediated retrieval of laboratory observations.
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Intelligent medical applications including agents, clinical decision support systems, and expert systems can benefit from components that expose the meanings of medical concepts. We have endeavored to create an ontology for laboratory observations and to make the ontology accessible in a distributed environment through a knowledge mediator offering several services. To date we have created two such services, one service to mediate the retrieval of laboratory observations and an auxiliary service to facilitate the mapping of units of measure to LOINC property-types. We report progress and insights on the development of our ontology and related knowledge mediator. (+info)
Improving response to critical laboratory results with automation: results of a randomized controlled trial.
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OBJECTIVE: To evaluate the effect of an automatic alerting system on the time until treatment is ordered for patients with critical laboratory results. DESIGN: Prospective randomized controlled trial. INTERVENTION: A computer system to detect critical conditions and automatically notify the responsible physician via the hospital's paging system. PATIENTS: Medical and surgical inpatients at a large academic medical center. One two-month study period for each service. MAIN OUTCOMES: Interval from when a critical result was available for review until an appropriate treatment was ordered. Secondary outcomes were the time until the critical condition resolved and the frequency of adverse events. METHODS: The alerting system looked for 12 conditions involving laboratory results and medications. For intervention patients, the covering physician was automatically notified about the presence of the results. For control patients, no automatic notification was made. Chart review was performed to determine the outcomes. RESULTS: After exclusions, 192 alerting situations (94 interventions, 98 controls) were analyzed. The intervention group had a 38 percent shorter median time interval (1.0 hours vs. 1.6 hours, P = 0.003; mean, 4.1 vs. 4.6 hours, P = 0.003) until an appropriate treatment was ordered. The time until the alerting condition resolved was less in the intervention group (median, 8.4 hours vs. 8.9 hours, P = 0.11; mean, 14.4 hours vs. 20.2 hours, P = 0.11), although these results did not achieve statistical significance. The impact of the intervention was more pronounced for alerts that did not meet the laboratory's critical reporting criteria. There was no significant difference between the two groups in the number of adverse events. CONCLUSION: An automatic alerting system reduced the time until an appropriate treatment was ordered for patients who had critical laboratory results. Information technologies that facilitate the transmission of important patient data can potentially improve the quality of care. (+info)
Enhancing the financial performance of a health system laboratory network using an information system.
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We describe the improvements created by successful implementation of a laboratory information system for a multi-institutional integrated delivery system, including an analysis of the financial results. Conditions at the outset of the project, methods of management and project design, selected aspects of services redesign and consolidation, integration of services among the sites and their effects on laboratory staff and productivity are illustrated. A method for and example of measuring the financial outcomes in the sense of quantifiable improvements in operating expenses and new revenue for a whole health system clinical laboratory computer system are discussed. In this health system, the measurable financial improvements facilitated by an information system were the ability to control operating expenses and to grow the hospital laboratory network through the development of an outreach program. With organizational commitment to process innovation and improvement, using team processes and customer-driven decision-making criteria, the financial performance of our consolidated laboratory network was enhanced substantially. A fully implemented laboratory information system is considered the major enabler of positive change when combined with a genuine commitment from all levels of staff and leadership. Over time, this system's financial return is several times that of the information system investment. (+info)
Automated mapping of observation codes using extensional definitions.
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OBJECTIVE: To create "extensional definitions" of laboratory codes from derived characteristics of coded values in a clinical database and then use these definitions in the automated mapping of codes between disparate facilities. DESIGN: Repository data for two laboratory facilities in the Intermountain Health Care system were analyzed to create extensional definitions for the local codes of each facility. These definitions were then matched using automated matching software to create mappings between the shared local codes. The results were compared with the mappings of the vocabulary developers. MEASUREMENTS: The number of correct matches and the size of the match group were recorded. A match was considered correct if the corresponding codes from each facility were included in the group. The group size was defined as the total number of codes in the match group (e.g., a one-to-one mapping is a group size of two). RESULTS: Of the matches generated by the automated matching software, 81 percent were correct. The average group size was 2.4. There were a total of 328 possible matches in the data set, and 75 percent of these were correctly identified. CONCLUSIONS: Extensional definitions for local codes created from repository data can be utilized to automatically map codes from disparate systems. This approach, if generalized to other systems, can reduce the effort required to map one system to another while increasing mapping consistency. (+info)