Steven J. Steindel

Physician Satisfaction and Emergency Department Laboratory Test Turnaround Time

OBJECTIVES To determine the length of time for the components of the emergency department (ED) turnaround time (TAT) study in 1998 and to ascertain physician satisfaction concerning laboratory services to the ED. METHODS Using forms supplied by the College of American Pathologists Q-Probes program, participants conducted a self-directed study of ED TAT over a 4-week period. Data requested included various times of day associated with the ordering, specimen collection, laboratory receipt, and result-reporting stages of stat ED TATs for potassium and hemoglobin. Additionally, practice-related questions associated with the laboratory were asked. Participating laboratories also provided a physician satisfaction survey for up to 4 physicians who were users of ED services. Results of both the TAT study and the physician satisfaction survey were returned by mail. Participants were drawn from the 952 hospital laboratories enrolled in the 1998 College of American Pathologists Q-Probes study on ED TAT. The main outcome measures included the components of the ED TAT process, factors associated with decreases in ED TAT, and the results of the physician satisfaction survey. RESULTS Six hundred ninety hospital laboratories (72.4% response rate) returned data on up to 18 230 hemoglobin and 18 259 potassium specimens. Half of these laboratories responded that 90% of potassium tests were ordered and reported in 69 minutes or less, whereas the TAT for 90% of hemoglobin results was 55 minutes or less. Comparison of the components of TAT for both potassium and hemoglobin with similar studies done in 1990 and 1993 showed no change. Factors found to statistically contribute to faster TATs for both tests were laboratory control of specimen handling and rapid transport time. When whole blood specimens were used for potassium determination, TAT improved. Emergency department physicians chose the study-defined lower satisfaction categories of Often, Sometimes, Rarely, and Never for the questions concerning the laboratory being sensitive to stat testing needs (39.1%) and meeting physician needs (47.6%). Many of the physicians surveyed believed that laboratory TAT caused delayed ED treatment more than 50% of the time (42.9%) and increased ED length of stay more than 50% of the time (61.4%) when compared with other specialty users of the ED. CONCLUSIONS Laboratory ED TATs have remained unchanged for almost a decade. Emergency department physicians are not satisfied with laboratory services. Although it appears that one issue may relate to the other, the interaction between the laboratory and the ED is quite complex and has been evolving for at least 30 years. Improvement in interoperability between the departments is essential for operational efficiency and patient care. Effective communication channels need to be established to achieve these goals.

International classification of diseases, 10th edition, clinical modification and procedure coding system: descriptive overview of the next generation HIPAA code sets

Described are the changes to ICD-10-CM and PCS and potential challenges regarding their use in the US for financial and administrative transaction coding under HIPAA in 2013. Using author constructed derivative databases for ICD-10-CM and PCS it was found that ICD-10-CMs overall term content is seven times larger than ICD-9-CM: only 3.2 times larger in those chapters describing disease or symptoms, but 14.1 times larger in injury and cause sections. A new multi-axial approach ICD-10-PCS increased size 18-fold from its prior version. New ICD-10-CM and PCS reflect a corresponding improvement in specificity and content. The forthcoming required national switch to these new administrative codes, coupled with nearly simultaneous widespread introduction of clinical systems and terminologies, requires substantial changes in US administrative systems. Through coordination of terminologies, the systems using them, and healthcare objectives, we can maximize the improvement achieved and engender beneficial data reuse for multiple purposes, with minimal transformations.

Clinical laboratory quality control: a costly process now out of control

We studied laboratory internal quality control (QC) processes using the College of American Pathologists Q-Probes program. Over 500 institutions participated, providing practices based on approximately 710,000 cholesterol, 880,000 calcium, 400,000 digoxin, and 1,180,000 hemoglobin QC results. The costs of QC included participant median control samples rates comprising 9.1, 9.4, 37.0, and 6.8% for the four analytes respectively, repeat patient test rates of 0.36% for hemoglobin to 0.65% for digoxin, and median delays in reporting results when QC exceptions occurred of 15.8 min for calcium to 24.7 min for hemoglobin. Quality control practices were complex and highly variable among participants and frequently differed from internal laboratory protocols and from long-established quality guidelines. We conclude that QC is costly, and laboratorians frequently do not follow established QC practices, in part because they are complex. To improve compliance, we believe QC practices must be simplified.

Continuous quality improvement for point-of-care testing using background monitoring of duplicate specimens

CONTEXT Despite compliance with quality control standards, concerns remain as to the accuracy and reliability of point-of-care testing. OBJECTIVE To assess a practical method for quality improvement using the context in which point-of-care testing is done. DESIGN Quality measures for point-of-care testing, making use of natural duplication of results obtained by other testing methods, were used to monitor testing quality and evaluate quality improvement interventions. SETTING Five adult intensive care units (total of 88 beds) in a large academic medical center, using point-of-care testing for blood gases, electrolytes, and hematocrit levels. PARTICIPANTS Nurses performing bedside testing and laboratory personnel assigned the responsibility for supervising their performance. INTERVENTIONS Quality of testing was monitored continuously, and, where problems were identified, training and support interventions implemented, and their effects evaluated. MAIN OUTCOME MEASURES Improvement in correlation coefficients and regression parameters of point-of-care hematocrit and potassium testing results compared with contemporaneous results from the core laboratory. RESULTS The initial survey found point-of-care potassium levels were tightly correlated with core laboratory results (r = 0.958). Baseline correlation coefficients and regression parameters for point-of-care hematocrit levels compared with core laboratory values varied widely from unit to unit. The intensive care units with the highest variances of bedside vs core laboratory testing received targeted interventions. Follow-up yielded evidence of dramatic improvement; 1 unit experienced an increase in correlation from 0.50 to 0.95. CONCLUSIONS The findings suggest that, when point-of-care testing is highly dependent on operator technique, targeted interventions can resolve problems and provide reliable results at the bedside.

Timeliness of automated routine laboratory tests: A College of American Pathologists Q-Probes study of 653 institutions

Benchmarks for timeliness of early morning routine clinical laboratory tests were developed from over 17,000 urea nitrogen and 16,000 white blood cell count measurements made for inpatients in 653 institutions participating in the College of American Pathologists Q-Probes program. Urea nitrogen and white blood cell counts were considered surrogates for routine chemistry and hematology tests. Laboratories at the 50th percentile reported median urea nitrogen and white blood cell counts by 09.04 and 08.51 h, respectively, whereas those at the 10th percentile reported these median measurements by 11.30 and 11.18 h, respectively. Results were available sooner in non-teaching than teaching institutions, and in smaller rather than larger institutions, with the degree of computerization affecting test availability. Timeliness also was affected by instrument type and mode of operation, but was unaffected by the percentage of stat testing. Based on modeling by regression analysis, there was little evidence that longer routine test turnaround times affect patient length of stay.

National Inventory of Clinical Laboratory Testing Services (NICLTS). Development and test distribution for 1996.

CONTEXT A statistically valid inventory of the distribution, both geographic and by laboratory type, of clinical and anatomical laboratory testing in the United States is needed to assess the impact of the Clinical Laboratory Improvements Amendments of 1988 and to provide information for other health care and public health policy decisions. OBJECTIVE To present initial US laboratory testing volume data compiled by the National Inventory of Clinical Laboratory Testing Services. DESIGN Stratified random sample of laboratories performing testing in 1996 with data on the number of laboratory tests performed, identified by method and analyte. Data were collected by field tabulators (moderate- or high-complexity laboratories) or through a mail/telephone survey (waived or provider-performed microscopy laboratories) for each site. PARTICIPANTS Laboratories that were enrolled in the 1996 Online Certification Survey and Reporting System, maintained by the US Health Care Finance Administration, and that performed laboratory testing during 1996. MAIN OUTCOME MEASURE Laboratory testing distribution for 1996 in the United States by analyte, method, and specimen type. RESULTS An overall response rate of 79% provided data from 757 moderate- or high-complexity laboratories and 1322 waived or provider-performed microscopy laboratories. The estimated total US testing volume for 1996 was 7.25 +/- 1.09 billion tests. Laboratories performing complex testing, defined as greater than 16 method/analyte/specimen type combinations, comprised 16% of the US laboratories by survey site, but performed 80% (95% confidence limits, 43% to 100%) of the testing volume. Glucose analysis was the most frequently performed test. Automated hematology and chemistry analyzers were the most frequently used methods. CONCLUSIONS A statistically valid, consistent survey of the distribution of US laboratory testing was obtained. Simple analysis of these data by laboratory type and geographic region can provide insights into where laboratory testing is performed. The study design allows extensions that will facilitate collection of additional data of importance to public health and medical care delivery.

Evaluation of Vocabularies for Electronic Laboratory Reporting to Public Health Agencies

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.

OIDs: how can I express you? Let me count the ways

An object identifier (OID) has a central utility in providing a traceable source for the meaning of an identifier appearing in a cross-system communication. The views in this paper illustrate the problems with using the present OID registration system as a reliable source for the identifier, the confusion that the use of an OID introduces in messages, and the redundancy that the OID introduces at the expense of increased message size and no new content. In promoting clearly defined cross-system communication identifiers, Health Level 7 developed a standard that required use of OIDs outside of network addressing. This standard and its propagation by others may have paradoxically added more confusion than clarity.

Characterization of microorganism identification in the United States in 1996.

CONTEXT The National Inventory of Clinical Laboratory Testing Services (NICLTS) was designed to give an unbiased estimate of all patient testing performed by laboratories registered under the Clinical Laboratory Improvement Amendments in 1996. OBJECTIVE Survey data were used to develop a profile of laboratory testing primarily intended to identify microorganisms or antibodies to these microorganisms. DESIGN Estimates of the extent of microorganism identification were derived from the NICLTS database by identifying associated tests and methods. The volumes for tests performed at locations that primarily prepared blood components for distribution were excluded. Organisms of public health importance were identified from the National Notifiable Disease list maintained by the Centers for Disease Control and Prevention. PARTICIPANTS Laboratories that were enrolled in the 1996 Online Certification Survey and Reporting System, maintained by the US Health Care Finance Administration, and that performed laboratory testing in 1996. OUTCOME MEASURE Estimated volumes and associated confidence limits by test, method, specimen type, public health importance, and testing location. RESULTS Excluding testing of the blood supply, 315 million tests (95% confidence limits, 280-354 million tests) were performed in the United States for microorganism identification. Those tests for which public health consensus requires national reporting represented 38% of this total. Although hospitals performed 46% of all microorganism identification, they only performed 33% of the testing for microorganisms of public health importance. Independent and specialty laboratories performed 38% of all testing but 65% of the testing for microorganisms of public health importance. Direct methods (methods not involving culture) were used in 77% of the tests for microorganisms of public health importance and in 42% of all identification tests. CONCLUSIONS The distribution of microorganism identification testing found using NICLTS data is consistent with plans to modernize the public health surveillance system in the United States.