Electronic Health Records: Then, Now, and in the Future.

OBJECTIVES: Describe the state of Electronic Health Records (EHRs) in 1992 and their evolution by 2015 and where EHRs are expected to be in 25 years. Further to discuss the expectations for EHRs in 1992 and explore which of them were realized and what events accelerated or disrupted/derailed how EHRs evolved. METHODS: Literature search based on "Electronic Health Record", "Medical Record", and "Medical Chart" using Medline, Google, Wikipedia Medical, and Cochrane Libraries resulted in an initial review of 2,356 abstracts and other information in papers and books. Additional papers and books were identified through the review of references cited in the initial review. RESULTS: By 1992, hardware had become more affordable, powerful, and compact and the use of personal computers, local area networks, and the Internet provided faster and easier access to medical information. EHRs were initially developed and used at academic medical facilities but since most have been replaced by large vendor EHRs. While EHR use has increased and clinicians are being prepared to practice in an EHR-mediated world, technical issues have been overshadowed by procedural, professional, social, political, and especially ethical issues as well as the need for compliance with standards and information security. There have been enormous advancements that have taken place, but many of the early expectations for EHRs have not been realized and current EHRs still do not meet the needs of today's rapidly changing healthcare environment. CONCLUSION: The current use of EHRs initiated by new technology would have been hard to foresee. Current and new EHR technology will help to provide international standards for interoperable applications that use health, social, economic, behavioral, and environmental data to communicate, interpret, and act intelligently upon complex healthcare information to foster precision medicine and a learning health system.

Use of computer decision support in an antimicrobial stewardship program (ASP).

OBJECTIVE: Document information needs, gaps within the current electronic applications and reports, and workflow interruptions requiring manual information searches that decreased the ability of our antimicrobial stewardship program (ASP) at Intermountain Healthcare (IH) to prospectively audit and provide feedback to clinicians to improve antimicrobial use. METHODS: A framework was used to provide access to patient information contained in the electronic medical record, the enterprise-wide data warehouse, the data-driven alert file and the enterprise-wide encounter file to generate alerts and reports via pagers, emails and through the Centers for Diseases and Control's National Healthcare Surveillance Network. RESULTS: Four new applications were developed and used by ASPs at Intermountain Medical Center (IMC) and Primary Children's Hospital (PCH) based on the design and input from the pharmacists and infectious diseases physicians and the new Center for Diseases Control and Prevention/National Healthcare Safety Network (NHSN) antibiotic utilization specifications. Data from IMC and PCH now show a general decrease in the use of drugs initially targeted by the ASP at both facilities. CONCLUSIONS: To be effective, ASPs need an enormous amount of "timely" information. Members of the ASP at IH report these new applications help them improve antibiotic use by allowing efficient, timely review and effective prioritization of patients receiving antimicrobials in order to optimize patient care.

Assessment of readiness for clinical decision support to aid laboratory monitoring of immunosuppressive care at U.S. liver transplant centers.

BACKGROUND: Following liver transplantation, patients require lifelong immunosuppressive care and monitoring. Computerized clinical decision support (CDS) has been shown to improve post-transplant immunosuppressive care processes and outcomes. The readiness of transplant information systems to implement computerized CDS to support post-transplant care is unknown. OBJECTIVES: a) Describe the current clinical information system functionality and manual and automated processes for laboratory monitoring of immunosuppressive care, b) describe the use of guidelines that may be used to produce computable logic and the use of computerized alerts to support guideline adherence, and c) explore barriers to implementation of CDS in U.S. liver transplant centers. METHODS: We developed a web-based survey using cognitive interviewing techniques. We surveyed 119 U.S. transplant programs that performed at least five liver transplantations per year during 2010-2012. Responses were summarized using descriptive analyses; barriers were identified using qualitative methods. RESULTS: Respondents from 80 programs (67% response rate) completed the survey. While 98% of programs reported having an electronic health record (EHR), all programs used paper-based manual processes to receive or track immunosuppressive laboratory results. Most programs (85%) reported that 30% or more of their patients used external laboratories for routine testing. Few programs (19%) received most external laboratory results as discrete data via electronic interfaces while most (80%) manually entered laboratory results into the EHR; less than half (42%) could integrate internal and external laboratory results. Nearly all programs had guidelines regarding pre-specified target ranges (92%) or testing schedules (97%) for managing immunosuppressive care. Few programs used computerized alerting to notify transplant coordinators of out-of-range (27%) or overdue laboratory results (20%). CONCLUSIONS: Use of EHRs is common, yet all liver transplant programs were largely dependent on manual paper-based processes to monitor immunosuppression for post-liver transplant patients. Similar immunosuppression guidelines provide opportunities for sharing CDS once integrated laboratory data are available.

Patient-perceived usefulness of an emergency medical card and a continuity-of-care report in enhancing the quality of care.

OBJECTIVE: To evaluate the patients' opinion on the usefulness of the electronic medical card (EMC) and continuity-of-care report in enhancing quality of care, and to assess the effects of the patient-entered data on the quality of data in the electronic medical record (EMR). DESIGN: A structured survey assessed patients' opinion on the usefulness of the EMC and continuity-of-care report. The accuracy of EMR data involved comparing the patient-entered data in the continuity-of-care report with the healthcare-provider-entered data in the EMR. The analysis assessed whether the EMR information was consistent with the patient-entered data. A data completeness evaluation compared data entries in the EMR collected before and after the use of continuity-of-care record application. RESULTS: One hundred and thirty-three patients used the application, of which 76% who had actually used the EMC and continuity-of-care report to seek medical care and/or update EMR information were surveyed. Age was associated with the reported usefulness of the documents. Few users (16%) printed the continuity-of-care reports to take to their healthcare providers for data updates and fewer (9%) to correct errors in the EMR. Overall, 68% of patients found the documents to be useful. CONCLUSIONS: Patients reported that the EMC and continuity-of-care report were useful in enhancing quality of care. They were able to identify missing or erroneous data in the EMR data, making them an important source of quality control for their information in the healthcare-provider-maintained EMR.

Comparing the effectiveness of computerized adverse drug event monitoring systems to enhance clinical decision support for hospitalized patients.

OBJECTIVE: Performance of computerized adverse drug event (ADE) monitoring of electronic health records through a prospective ADE Monitor and ICD9-coded clinical text review operating independently and simultaneously on the same patient population for a 10-year period are compared. Requirements are compiled for clinical decision support in pharmacy systems to enhance ADE detection. METHODS: A large tertiary care facility in Utah, with a history of quality improvement using its advanced hospital information system, was leveraged in this study. ICD9-based review of clinical charts (ICD9 System) was compared quantitatively and qualitatively to computer-assisted pharmacist-verified ADEs (ADE Monitor). The capture-recapture statistical method was applied to the data to determine an estimated prevalence of ADEs. RESULTS: A total estimated ADE prevalence of 5.53% (13,420/242,599) was calculated, with the ICD9 system identifying 2,604 or 19.4%, and the ADE monitor 3,386 or 25.2% of all estimated ADEs. Both methods commonly identified 4.9% of all estimated ADEs and matched 62.0% of the time, each having its strength in detecting a slightly different domain of ADEs. 70% of the ADE documentation in the clinical notes was found in the discharge summaries. CONCLUSION: Coupled with spontaneous reporting, computerized methods account for approximately half of all ADEs that can currently be detected. To enhance ADE monitoring and patient safety in a hospitalized setting, pharmacy information systems should incorporate prospective structuring and coding of the text in clinical charts and using that data alongside computer-generated alerts of laboratory results and drug orders. Natural language processing can aid computerized detection by automating the coding, in real-time, of physician text from clinical charts so that decision support rules can be created and applied. New detection strategies and enhancements to existing systems should be researched to enhance the detection of ADEs since approximately half are not currently detected.

Implementation of an emergency medical card and a continuity of care report using continuity of care standard.

OBJECTIVES: To describe the design and implementation procedures for an emergency medical card (EMC) and a continuity of care (CoC) report using the continuity of care record (CCR) standard. We also describe studies to evaluate the effectiveness of these documents in CoC. METHODS: We convened weekly planning, design, development, implementation, and evaluation meetings, involving 25 outpatient clinics at Intermountain Healthcare. The CCR standard schema and documentation from American Society for Testing and Materials were used to develop the data model. An outside consultant provided further advice on committee-approved designs. We then developed a functional design document for the CCR application implementation. Healthcare professionals (medical doctors and physician assistants) and fourth-year medical students will simulate the will simulate the EMC and CoC report use and assess their usefulness in CoC. The reviewers will review three randomly selected patient cases, using patient information in the electronic medical record, EMC and CoC report. A structured questionnaire with Likert scale will assess the reviewers' perceptions of the documents' usefulness in medical decision making. Other studies will compare patient- and HCP-entered data to evaluate the effect of patient-entered data on the quality of HCP-entered data and assess user-satisfaction with the documents' usefulness in CoC. RESULTS: An automated CCR application compliant with the CCR standard was developed and integrated in an already implemented patient portal at the Intermountain Healthcare clinics. Patients use the application to view, add, modify their information and use the data plus EMR data to create EMC and CoC report. CONCLUSIONS: The CCR standard can be used to implement an application to enable patients to not only view but add or modify personal health records, and create, print and share paper EMC and CoC report with HCPs. The documents can be created using HCP-maintained EMR data, in addition to patient-entered data as is currently the norm.

Countering imbalanced datasets to improve adverse drug event predictive models in labor and delivery.

BACKGROUND: The IOM report, Preventing Medication Errors, emphasizes the overall lack of knowledge of the incidence of adverse drug events (ADE). Operating rooms, emergency departments and intensive care units are known to have a higher incidence of ADE. Labor and delivery (L&D) is an emergency care unit that could have an increased risk of ADE, where reported rates remain low and under-reporting is suspected. Risk factor identification with electronic pattern recognition techniques could improve ADE detection rates. OBJECTIVE: The objective of the present study is to apply Synthetic Minority Over Sampling Technique (SMOTE) as an enhanced sampling method in a sparse dataset to generate prediction models to identify ADE in women admitted for labor and delivery based on patient risk factors and comorbidities. RESULTS: By creating synthetic cases with the SMOTE algorithm and using a 10-fold cross-validation technique, we demonstrated improved performance of the Naïve Bayes and the decision tree algorithms. The true positive rate (TPR) of 0.32 in the raw dataset increased to 0.67 in the 800% over-sampled dataset. CONCLUSION: Enhanced performance from classification algorithms can be attained with the use of synthetic minority class oversampling techniques in sparse clinical datasets. Predictive models created in this manner can be used to develop evidence based ADE monitoring systems.

An international summer school on health informatics: a collaborative effort of the Amsterdam Medical Informatics Program and IPhiE--the International Partnership for Health Informatics Education.

PURPOSE: Today, the need for health informatics training for health care professionals is acknowledged and educational opportunities for these professionals are increasing. To contribute to these efforts, a new initiative was undertaken by the Medical Informatics Program of the University of Amsterdam-Academic Medical Center and IPHIE (IPhiE)-the International Partnership for Health Informatics Education. In the year 2004, a summer school on health informatics was organized for advanced medical students from all over the world. METHODS: We elaborate on the goals and the program for this summer school. In developing the course, we followed the international guidelines of the International Medical Informatics Association-IMIA. Students provided feedback for the course through both summative and formative evaluations. As a result of these evaluations, we outline the lessons we have learned and what consequences these results have had in revising the course. RESULTS: Overall the results of both the summative and formative evaluation of the summer school showed that we succeeded in the goals we set at the beginning of the course. Students highly appreciated the course content and indicated that the course fulfilled their educational needs. The decision support and image processing computer practicums however proved too high level. We therefore will redesign these practicums to competence requirements of medical doctors as defined by IMIA. All participants recommended the summer school event to other students. CONCLUSIONS: Our experiences demonstrated a true need for health informatics education among medical students and that even a 2 weeks course can fulfill health informatics educational needs of these future physicians. Further establishment of health informatics courses for other health professions is recommended.

Building a comprehensive clinical information system from components. The approach at Intermountain Health Care.

OBJECTIVES: To discuss the advantages and disadvantages of an interfaced approach to clinical information systems architecture. METHODS: After many years of internally building almost all components of a hospital clinical information system (HELP) at Intermountain Health Care, we changed our architectural approach as we chose to encompass ambulatory as well as acute care. We now seek to interface applications from a variety of sources (including some that we build ourselves) to a clinical data repository that contains a longitudinal electronic patient record. RESULTS: We have a total of 820 instances of interfaces to 51 different applications. We process nearly 2 million transactions per day via our interface engine and feel that the reliability of the approach is acceptable. Interface costs constitute about four percent of our total information systems budget. The clinical database currently contains records for 1.45 m patients and the response time for a query is 0.19 sec. DISCUSSION: Based upon our experience with both integrated (monolithic) and interfaced approaches, we conclude that for those with the expertise and resources to do so, the interfaced approach offers an attractive alternative to systems provided by a single vendor. We expect the advantages of this approach to increase as the costs of interfaces are reduced in the future as standards for vocabulary and messaging become increasingly mature and functional.

Development and impact of a computerized pediatric antiinfective decision support program.

OBJECTIVE: Computerized medical decision support tools have been shown to improve the quality of care and have been cited by the Institute of Medicine as one method to reduce pharmaceutical errors. We evaluated the impact of an antiinfective decision support tool in a pediatric intensive care unit (PICU). METHODS: We enhanced an existing adult antiinfective management tool by adding and changing medical logic to make it appropriate for pediatric patients. Process and outcomes measures were monitored prospectively during a 6-month control and a 6-month intervention period. Mandatory use of the decision support tool was initiated for all antiinfective orders in a 26-bed PICU during the intervention period. Clinician opinions of the decision support tool were surveyed via questionnaire. RESULTS: The rate of pharmacy interventions for erroneous drug doses declined by 59%. The rate of anti-infective subtherapeutic patient days decreased by 36%, and the rate of excessive-dose days declined by 28%. The number of orders placed per antiinfective course decreased 11.5%, and the robust estimate of the antiinfective costs per patient decreased 9%. The type of anti-infectives ordered and the number of antiinfective doses per patient remained similar, as did the rates of adverse drug events and antibiotic-bacterial susceptibility mismatches. The surveyed clinicians reported that use of the program improved their antiinfective agent choices as well as their awareness of impairments in renal function and reduced the likelihood of adverse drug events. CONCLUSIONS: Use of the pediatric antiinfective decision support tool in a PICU was considered beneficial to patient care by the clinicians and reduced the rates of erroneous drug orders, improved therapeutic dosage targets, and was associated with a decreased robust estimate of antiinfective costs per patient. antiinfective agents, decision support systems, drug therapy, medication errors, child, infant.

Clinicians' response to computerized detection of infections.

OBJECTIVE: To analyze whether computer-generated reminders about infections could influence clinicians' practice patterns and consequently improve the detection and management of nosocomial infections. DESIGN: The conclusions produced by an expert system developed to detect and manage infections were presented to the attending clinicians in a pediatric hospital to determine whether this information could improve detection and management. Clinician interventions were compared before and after the implementation of the system. MEASUREMENTS: The responses of the clinicians (staff physicians, physician assistants, and nurse practitioners) to the reminders were determined by review of paper medical charts. Main outcome measures were the number of suggestions to treat and manage infections that were followed before and after the implementation of COMPISS (Computerized Pediatric Infection Surveillance System). The clinicians' opinions about the system were assessed by means of a paper questionnaire distributed following the experiment. RESULTS: The results failed to show a statistical difference between the clinicians' treatment strategies before and after implementation of the system (P: > 0.33 for clinicians working in the emergency room and P: > 0.45 for clinicians working in the pediatric intensive care unit). The questionnaire results showed that the respondents appreciated the information presented by the system. CONCLUSION: The computer-generated reminders about infections were unable to influence the practice patterns of clinicians. The methodologic problems that may have contributed to this negative result are discussed.

A physical map of the human genome.

The human genome is by far the largest genome to be sequenced, and its size and complexity present many challenges for sequence assembly. The International Human Genome Sequencing Consortium constructed a map of the whole genome to enable the selection of clones for sequencing and for the accurate assembly of the genome sequence. Here we report the construction of the whole-genome bacterial artificial chromosome (BAC) map and its integration with previous landmark maps and information from mapping efforts focused on specific chromosomal regions. We also describe the integration of sequence data with the map.

The physical maps for sequencing human chromosomes 1, 6, 9, 10, 13, 20 and X.

We constructed maps for eight chromosomes (1, 6, 9, 10, 13, 20, X and (previously) 22), representing one-third of the genome, by building landmark maps, isolating bacterial clones and assembling contigs. By this approach, we could establish the long-range organization of the maps early in the project, and all contig extension, gap closure and problem-solving was simplified by containment within local regions. The maps currently represent more than 94% of the euchromatic (gene-containing) regions of these chromosomes in 176 contigs, and contain 96% of the chromosome-specific markers in the human gene map. By measuring the remaining gaps, we can assess chromosome length and coverage in sequenced clones.

Automatic detection of acute bacterial pneumonia from chest X-ray reports.

OBJECTIVE: To evaluate the performance of a natural language processing system in extracting pneumonia-related concepts from chest x-ray reports. DESIGN: Four physicians, three lay persons, a natural language processing system, and two keyword searches (designated AAKS and KS) detected the presence or absence of three pneumonia-related concepts and inferred the presence or absence of acute bacterial pneumonia from 292 chest x-ray reports. Gold standard: Majority vote of three independent physicians. Reliability of the gold standard was measured. OUTCOME MEASURES: Recall, precision, specificity, and agreement (using Finn's R: statistic) with respect to the gold standard. Differences between the physicians and the other subjects were tested using the McNemar test for each pneumonia concept and for the disease inference of acute bacterial pneumonia. RESULTS: Reliability of the reference standard ranged from 0.86 to 0.96. Recall, precision, specificity, and agreement (Finn R:) for the inference on acute bacterial pneumonia were, respectively, 0.94, 0.87, 0.91, and 0.84 for physicians; 0.95, 0.78, 0.85, and 0.75 for natural language processing system; 0.46, 0.89, 0.95, and 0.54 for lay persons; 0.79, 0.63, 0.71, and 0.49 for AAKS; and 0.87, 0.70, 0.77, and 0.62 for KS. The McNemar pairwise comparisons showed differences between one physician and the natural language processing system for the infiltrate concept and between another physician and the natural language processing system for the inference on acute bacterial pneumonia. The comparisons also showed that most physicians were significantly different from the other subjects in all pneumonia concepts and the disease inference. CONCLUSION: In extracting pneumonia related concepts from chest x-ray reports, the performance of the natural language processing system was similar to that of physicians and better than that of lay persons and keyword searches. The encoded pneumonia information has the potential to support several pneumonia-related applications used in our institution. The applications include a decision support system called the antibiotic assistant, a computerized clinical protocol for pneumonia, and a quality assurance application in the radiology department.

Evaluation of a computer-assisted antibiotic-dose monitor.

OBJECTIVE: To examine the effect of a computer-assisted antibiotic-dose monitor used to reduce the number of days that patients receive excessive dosages of antibiotics and the number of adverse drug events (ADEs) secondary to antibiotics. DESIGN: Descriptive epidemiologic study of a two-year preintervention period and one-year intervention period. SETTING: The LDS Hospital, a tertiary care center in Salt Lake City, UT. PATIENTS: All patients aged > or = 18 years, admitted to LDS Hospital from April 1, 1993, to March 31, 1996, who received at least one of five targeted antibiotics (vancomycin, gentamicin, imipenem, cefazolin, cefuroxime), who had a serum creatinine or a urine creatinine clearance test result before antibiotic therapy, and who were never admitted or transferred to the shock/trauma/respiratory intensive care unit. METHODS: Each morning during the 12-month intervention period, the antibiotic-dose monitor checked the renal function of all patients who were receiving any of the five antibiotics. Pharmacists received a computer listing of patients who may have been receiving excessive dosages. The antibiotic-dose monitor suggested an alternate dosage and a pharmacist contacted the patient's physician if the suggested change in the dosage was appropriate. RESULTS: During the intervention period, 4483 patients received at least one of the five study antibiotics and 1974 (44%) were identified as receiving an excessive dosage, compared with 4494 (50%) of 8901 patients during the preintervention period (p < 0.001). The patients receiving excessive dosages received an excessive dosage for an average of 2.9 days during the intervention period, compared with 4.7 days (p < 0.001) during the preintervention period. In addition, these same patients during the intervention period received fewer doses of antibiotics (10.9 vs. 13.4; p < 0.001), fewer grams of antibiotics (10.4 vs. 12.0; p < 0.02), at less cost ($98 vs. $128; p < 0.004) than the patients during the preintervention period. Moreover, there were 14 ADEs (0.3%) secondary to the five study antibiotics during the intervention period, compared with 82 (0.9%; p < 0.001) for the two-year preintervention period. The study also found that significantly more patients identified as receiving excessive dosages had experienced decreases in renal function, compared with patients who were not identified as receiving excessive dosages (25% vs. 12% during preintervention period and 23% vs. 16% during intervention period; p < 0.001). CONCLUSIONS: Many patients experience decreases in renal function after antibiotics are ordered. The use of the computer-assisted antibiotic-dose monitor appears to be a promising method to help reduce the excessive use and cost of antibiotic therapy and reduce the number of ADEs secondary to antibiotics.

A computer-assisted management program for antibiotics and other antiinfective agents.

BACKGROUND AND METHODS: Optimal decisions about the use of antibiotics and other antiinfective agents in critically ill patients require access to a large amount of complex information. We have developed a computerized decision-support program linked to computer-based patient records that can assist physicians in the use of antiinfective agents and improve the quality of care. This program presents epidemiologic information, along with detailed recommendations and warnings. The program recommends antiinfective regimens and courses of therapy for particular patients and provides immediate feedback. We prospectively studied the use of the computerized antiinfectives-management program for one year in a 12-bed intensive care unit. RESULTS: During the intervention period, all 545 patients admitted were cared for with the aid of the antiinfectives-management program. Measures of processes and outcomes were compared with those for the 1136 patients admitted to the same unit during the two years before the intervention period. The use of the program led to significant reductions in orders for drugs to which the patients had reported allergies (35, vs. 146 during the preintervention period; P<0.01), excess drug dosages (87 vs. 405, P<0.01), and antibiotic-susceptibility mismatches (12 vs. 206, P<0.01). There were also marked reductions in the mean number of days of excessive drug dosage (2.7 vs. 5.9, P<0.002) and in adverse events caused by antiinfective agents (4 vs. 28, P<0.02). In analyses of patients who received antiinfective agents, those treated during the intervention period who always received the regimens recommended by the computer program (n=203) had significant reductions, as compared with those who did not always receive the recommended regimens (n= 195) and those in the preintervention cohort (n = 766), in the cost of antiinfective agents (adjusted mean, $102 vs. $427 and $340, respectively; P<0.001), in total hospital costs (adjusted mean, $26,315 vs. $44,865 and $35,283; P<0.001), and in the length of the hospital stay days (adjusted mean, 10.0 vs. 16.7 and 12.9; P<0.001). CONCLUSIONS; A computerized antiinfectives-management program can improve the quality of patient care and reduce costs.

Seasonal changes in the relative abundance of uncultivated sulfate-reducing bacteria in a salt marsh sediment and in the rhizosphere of Spartina alterniflora.

Phylogenetic diversity and community composition of sulfate-reducing bacteria in a salt marsh sediment and in the rhizosphere of Spartina alterniflora were investigated. Uncultivated Desulfobacteriaceae family-related phylotypes were studied by selectively amplifying 16S rRNA gene fragments from DNA extracted from salt marsh rhizosphere samples. Two novel phylotypes were retrieved from rhizosphere samples, with A01 having 89.1% sequence similarity with Desulfococcus multivorans and 4D19 having 96.3% sequence similarity with Desulfosarcina variabilis. Additionally, six sequences that were extremely closely related to Desulfococcus multivorans (99% sequence similarity) were found. Reference RNAs containing sequences identical to corresponding cloned regions of A01 or 4D19 16S rRNA were synthesized via in vitro transcription and were used in subsequent quantitative membrane hybridization experiments. Oligonucleotide probes A01-183 and 4D19-189 were designed to specifically target these two novel phylotypes and were tested for target specificity against synthesized RNA and reference RNAs extracted from pure cultures. The newly designed probes were then used, together with eubacterial probes, to determine the relative abundances of the novel phylotypes in the salt marsh sediment and the rhizosphere. Mean relative abundances of A01-183 and 4D19-189 targets were 7.5 and 3.4%, respectively, suggesting that the target organisms of A01-183 and, to a lesser extent, of 4D19-189 play an important role in the salt marsh sediment and the Spartina rhizosphere. A seasonal trend of increased A01 relative abundance during the period of vegetative plant growth was evident, suggesting a close interaction between A01 and S. alterniflora.

Imaging of puerperal septic thrombophlebitis: prospective comparison of MR imaging, CT, and sonography.

OBJECTIVE: Our objective was to compare prospectively the abilities of MR imaging, CT, and sonography to reveal puerperal septic thrombophlebitis in the pelvis. SUBJECTS AND METHODS: Seventy-six women with puerperal fever for 5 days refractory to antimicrobial therapy underwent MR imaging, CT, and sonography. We obtained unenhanced axial CT images followed by enhanced images after the administration of an oral contrast agent for which we followed a specific protocol. Axial T1- and T2-weighted spin-echo MR images with phase reconstruction and sagittal T1-weighted MR images were obtained. Real-time sonography was performed using Doppler color flow mapping and spectral waveform analysis. RESULTS: Of the 76 women, 64 completed studies with all three techniques. Ovarian vein thrombosis was diagnosed in 12 women. True-positive results were indicated when at least two of the three studies showed the presence of a clot; true-negative results were indicated when at least two of the three studies showed a lack of thrombosis. MR imaging and CT revealed both ovarian veins in all cases (64/64). Sonography revealed 33 (52%) of 64 right ovarian veins and 15 (23%) of 64 left ovarian veins. MR imaging (sensitivity, 92%; specificity, 100%) and CT (sensitivity, 100%; specificity 99%) were comparable in all but two cases. In one such case, MR imaging showed patency, CT revealed findings interpreted as thrombosis, and sonography showed flow in the partially occluded vein. In the second such case, bilateral thrombosis was seen on CT, but interpretations based on sonography and MR imaging were left-sided thrombosis only. Sonography correctly revealed six of the 12 cases of ovarian vein thrombosis. CONCLUSION: CT and MR imaging proved to be the studies of choice in the evaluation of ovarian vein thrombosis.

Adverse drug events in hospitalized patients. Excess length of stay, extra costs, and attributable mortality.

OBJECTIVE: To determine the excess length of stay, extra costs, and mortality attributable to adverse drug events (ADEs) in hospitalized patients. DESIGN: Matched case-control study. SETTING: The LDS Hospital, a tertiary care health care institution. PATIENTS: All patients admitted to LDS Hospital from January 1, 1990, to December 31, 1993, were eligible. Cases were defined as patients with ADEs that occurred during hospitalization; controls were selected according to matching variables in a stepwise fashion. METHODS: Controls were matched to cases on primary discharge diagnosis related group (DRG), age, sex, acuity, and year of admission; varying numbers of controls were matched to each case. Matching was successful for 71% of the cases, leading to 1580 cases and 20,197 controls. MAIN OUTCOME MEASURES: Crude and attributable mortality, crude and attributable length of stay, and cost of hospitalization. RESULTS: ADEs complicated 2.43 per 100 admissions to the LDS Hospital during the study period. The crude mortality rates for the cases and matched controls were 3.5% and 1.05%, respectively (P<.001). The mean length of hospital stay significantly differed between the cases and matched controls (7.69 vs 4.46 days; P<.001) as did the mean cost of hospitalization ($10,010 vs $5355; P<.001). The extra length of hospital stay attributable to an ADE was 1.74 days (P<.001). The excess cost of hospitalization attributable to an ADE was $2013 (P<.001). A linear regression analysis for length of stay and cost controlling for all matching variables revealed that the occurrence of an ADE was associated with increased length of stay of 1.91 days and an increased cost of $2262 (P<.001). In a similar logistic regression analysis for mortality, the increased risk of death among patients experiencing an ADE was 1.88 (95% confidence interval, 1.54-2.22; P<.001). CONCLUSION: The attributable lengths of stay and costs of hospitalization for ADEs are substantial. An ADE is associated with a significantly prolonged length of stay, increased economic burden, and an almost 2-fold increased risk of death.