Palm computer demonstrates a fast and accurate means of burn data collection

Manual biomedical data collection and entry of the data into a personal computer is time-consuming and can be prone to errors. The purpose of this study was to compare data entry into a hand-held computer versus hand written data followed by entry of the data into a personal computer. A Palm (3Com Palm IIIx, Santa, Clara, Calif) computer with a custom menu-driven program was used for the entry and retrieval of burn-related variables. These variables were also used to create an identical sheet that was filled in by hand. Identical data were retrieved twice from 110 charts 48 hours apart and then used to create an Excel (Microsoft, Redmond, Wash) spreadsheet. One time data were recorded by the Palm entry method, and the other time the data were handwritten. The method of retrieval was alternated between the Palm system and handwritten system every 10 charts. The total time required to log data and to generate an Excel spreadsheet was recorded and used as a study endpoint. The total time for the Palm method of data collection and downloading to a personal computer was 23% faster than hand recording with the personal computer entry method (P < 0.05), and 58% fewer errors were generated with the Palm method.) The Palm is a faster and more accurate means of data collection than a handwritten technique.     

The development of a computerised equipment and drug calculator for use in resuscitation

Objectives: To design a computerised system of calculating resuscitation requirements and to test this system to ensure that it gives accurate and fast results, so that it could potentially be used in the resuscitation of patients in a accident and emergency (A&E) department.

Methods: Using internet based technology we have developed a program that runs inside most web browsers and can be used to calculate several parameters (including endotracheal tube dimensions and drug doses). The only value that is required is the age of the patient. The weight is calculated and can be adjusted if known. The resuscitation requirement calculations are made from the weight. The program was then tested on staff members in the department to calculate theoretical resuscitation requirements for paediatric and adult patients. Accuracy and speed of the computerised calculator was compared with the conventional paper based calculation methods.

Results: Subjects performed better using the computerised calculator. On average they made significantly fewer errors (21.4% more accurate than using conventional methods) and were three times faster.

Conclusion: The computerised calculator has proved, in a controlled setting, to be a more accurate and faster way of calculating resuscitation requirements than conventional methods.

     

3D prostate model formation from non-parallel 2D ultrasound biopsy images

Biopsy of the prostate using 2D transrectal ultrasound (TRUS) guidance is the current gold standard for diagnosis of prostate cancer; however, the current procedure is limited by using 2D biopsy tools to target 3D biopsy locations. We propose a technique for patient-specific 3D prostate model reconstruction from a sparse collection of non-parallel 2D TRUS biopsy images. Our method conforms to the restrictions of current TRUS biopsy equipment and could be efficiently incorporated into current clinical biopsy procedures for needle guidance without the need for expensive hardware additions. In this paper, the model reconstruction technique is evaluated using simulated biopsy images from 3D TRUS prostate images of 10 biopsy patients. All reconstructed models are compared to their corresponding 3D manually segmented prostate models for evaluation of prostate volume accuracy and surface errors (both regional and global). The number of 2D TRUS biopsy images used for prostate modeling was varied to determine the optimal number of images necessary for accurate prostate surface estimation.     

Designing image segmentation studies: Statistical power,sample size and reference standard quality

Segmentation algorithms are typically evaluated by comparison to an accepted reference standard. The cost of generating accurate reference standards for medical image segmentation can be substantial. Since the study cost and the likelihood of detecting a clinically meaningful difference in accuracy both depend on the size and on the quality of the study reference standard, balancing these trade-offs supports the efficient use of research resources.In this work, we derive a statistical power calculation that enables researchers to estimate the appropriate sample size to detect clinically meaningful differences in segmentation accuracy (i.e. the proportion of voxels matching the reference standard) between two algorithms. Furthermore, we derive a formula to relate reference standard errors to their effect on the sample sizes of studies using lower-quality (but potentially more affordable and practically available) reference standards.The accuracy of the derived sample size formula was estimated through Monte Carlo simulation, demonstrating, with 95% confidence, a predicted statistical power within 4% of simulated values across a range of model parameters. This corresponds to sample size errors of less than 4 subjects and errors in the detectable accuracy difference less than 0.6%. The applicability of the formula to real-world data was assessed using bootstrap resampling simulations for pairs of algorithms from the PROMISE12 prostate MR segmentation challenge data set. The model predicted the simulated power for the majority of algorithm pairs within 4% for simulated experiments using a high-quality reference standard and within 6% for simulated experiments using a low-quality reference standard. A case study, also based on the PROMISE12 data, illustrates using the formulae to evaluate whether to use a lower-quality reference standard in a prostate segmentation study.     

儿科重症监护室护理监测数据采集模式的构建及应用研究

目的 构建儿科ICU护理监测数据采集模式,并进行临床应用,旨在提高ICU危重患儿医疗护理数据的记录质量及医护人员的工作效率。方法 以临床决策支持理念为基础,构建儿科ICU抢救、输血、术后复苏数据采集模式,实施现代化、信息化、一体化的移动护理体系。统计2019年1月—2020年1月在ICU不同临床场景下护理监测数据采集模式使用情况及ICU护士对其的满意度。结果 抢救模式启动328例次,输血模式启动8 014例次,术后复苏模式启动1 622例次;采用电子病历记录文书共4 323例,其中儿科ICU 1 793例、新生儿ICU 1 600例、心脏ICU 930例。护士对护理监测数据采集模式的总体满意度得分为（92.47±1.62）分。结论 儿科ICU不同护理监测数据采集模式的构建有效整合了急救、输血、术后复苏时各项文件的书写工作流程,通过人工及信息双重核对保障了ICU床旁数据采集的准确性,简化了护理工作程序,改善了护理文书记录质量,提高了护士的满意度。     

Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal Alzheimer's disease images

The evaluation of atrophy quantification methods based on magnetic resonance imaging have been usually hindered by the lack of realistic gold standard data against which to judge these methods or to help refine them. Recently [Camara, O., Schweiger, M., Scahill, R., Crum, W., Sneller, B., Schnabel, J., Ridgway, G., Cash, D., Hill, D., Fox, N., 2006. Phenomenological model of diffuse global and regional atrophy using finite-element methods. IEEE Trans. Med.l Imaging 25, 1417-1430], we presented a technique in which atrophy is realistically simulated in different tissue compartments or neuroanatomical structures with a phenomenological model. In this study, we have generated a cohort of realistic simulated Alzheimer's disease (AD) images with known amounts of atrophy, mimicking a set of 19 real controls and 27 probable AD subjects, with an improved version of our atrophy simulation methodology. This database was then used to assess the accuracy of several well-known computational anatomy methods which provide global (BSI and SIENA) or local (Jacobian integration) estimates of longitudinal atrophy in brain structures using MR images. SIENA and BSI results correlated very well with gold standard data (Pearson coefficient of 0.962 and 0.969 respectively), achieving small mean absolute differences with respect to the gold standard (percentage change from baseline volume): BSI of 0.23%+/-0.26%; SIENA of 0.22%+/-0.28%. Jacobian integration was guided by both fluid and FFD-based registration techniques and resulting deformation fields and associated Jacobians were compared, region by region, with gold standard ones. The FFD-based technique outperformed the fluid one in all evaluated structures (mean absolute differences from the gold standard in percentage change from baseline volume): whole brain, FFD=0.31%, fluid=0.58%; lateral ventricles, FFD=0.79%; fluid=1.45%; left hippocampus, FFD=0.82%; fluid=1.42%; right hippocampus, FFD=0.95%; fluid=1.62%. The largest errors for both local techniques occurred in the sulcal CSF (FFD=2.27%; fluid=3.55%) regions. For large structures such as the whole brain, these mean absolute differences, relative to the applied atrophy, represented similar percentages for the BSI, SIENA and FFD techniques (controls/patients): BSI, 51.99%/16.36%; SIENA, 62.34%/21.59%; FFD, 41.02%/24.95%. For small structures such as the hippocampi, these percentages were larger, especially for controls where errors were approximately equal to the small applied changes (controls/patients): FFD, 92.82%/43.61%. However, these apparently large relative errors have not prevented the global or hippocampal measures from finding significant group separation in our study. The evaluation framework presented here will help in quantifying whether the accuracy of future methodological developments is sufficient for analysing change in smaller or less atrophied local brain regions. Results obtained in our experiments with realistic simulated data confirm previously published estimates of accuracy for both evaluated global techniques. Regarding Jacobian Integration methods, the FFD-based one demonstrated promising results and potential for being used in clinical studies alongside (or in place of) the more common global methods. The generated gold standard data has also allowed us to identify some stages and sets of parameters in the evaluated techniques--the brain extraction step in the global techniques and the number of multi-resolution levels and the stopping criteria in the registration-based methods--that are critical for their accuracy.     

Prevention of potential errors in resuscitation medications orders by means of a computerised physician order entry in paediatric critical care

INTRODUCTION: Computerised physician order entry with clinical decision support system (CPOE+CDSS) is an important tool in attempting to reduce medication errors. The objective of this study was to evaluate the impact of a CPOE+CDSS on (1) the frequency of errors in ordering resuscitation (CPR) medications and (2) the time for printing out the order form, in a paediatric critical care department (PCCD). METHODS: Setting: An 18-bed PCCD in a tertiary-care children's hospital. Design: Prospective cohort study. Measures: Compilation and comparison of number of errors and time to fill in forms before and after implementation of CPOE+CDSS. Time to fill in conventional, simulated and CPOE forms was measured and compared. RESULTS: There were three reported incidents of errors among 13,124 CPR medications orders during the year preceding implementation of CPOE+CDSS. These represent errors that escaped the triple check by three independent staff members. There were no errors after CPOE+CDSS was implemented (100% error reduction for 46,970 orders). Time to completion of drug forms dropped from 14 min 42 s to 2 min 14s (p < 0.001). CONCLUSIONS: CPOE+CDSS completely eliminated errors in filling in the forms and significantly reduced time to completing the form.     

Impact of resuscitation system errors on survival from in-hospital cardiac arrest

Background

An estimated 350,000-750,000 adult, in-hospital cardiac arrest (IHCA) events occur annually in the United States. The impact of resuscitation system errors on survival during IHCA resuscitation has not been evaluated. The purpose of this paper was to evaluate the impact of resuscitation system errors on survival to hospital discharge after IHCA.

Methods and results

We evaluated subjective and objective errors in 118,387 consecutive, adult, index IHCA cases entered into the Get with the Guidelines National Registry of Cardiopulmonary Resuscitation database from January 1, 2000 through August 26, 2008. Cox regression analysis was used to determine the relationship between reported resuscitation system errors and other important clinical variables and the hazard ratio for death prior to hospital discharge. Of the 108,636 patients whose initial IHCA rhythm was recorded, resuscitation system errors were committed in 9,894/24,467 (40.4%) of those with an initial rhythm of ventricular fibrillation or pulseless ventricular tachycardia (VF/pVT) and in 22,599/84,169 (26.8%) of those with non-VF/pVT. The most frequent system errors related to delay in medication administration (>5 min time from event recognition to first dose of a vasoconstrictor), defibrillation, airway management, and chest compression performance errors. The presence of documented resuscitation system errors on an IHCA event was associated with decreased rates of return of spontaneous circulation, survival to 24 h, and survival to hospital discharge. The relative risk of death prior to hospital discharge based on hazard ratio analysis was 9.9% (95% CI 7.8, 12.0) more likely for patients whose initial documented rhythm was non-VF/pVT when resuscitation system errors were reported compared to when no errors were reported. It was 34.2% (95% CI 29.5, 39.1) more likely for those with VF/pVT.

Conclusions

The presence of resuscitation system errors that are evident from review of the resuscitation record is associated with decreased survival from IHCA in adults. Hospitals should target the training of first responders and code team personnel to emphasize the importance of early defibrillation, early use of vasoconstrictor medication, and compliance with ACLS protocols.     

A comparison of the interpretation of digitized and videotape recorded echocardiograms.

Conventional echocardiograms are typically recorded on videotape and later reviewed and interpreted by a physician. Although videotape recording is an excellent medium for this purpose, it does have several disadvantages, which may be overcome by digital storage. This study compared the diagnostic accuracy of digitized and videotape recorded echocardiograms. Echocardiographic examinations (n = 110) were recorded simulta-neously on videotape and were digitized with a commercially available frame grabber system. Images were transmitted by an Ethernet link to the network-based computer system and compressed with a nondestructive compression algorithm. Images were reviewed on a personal computer. Images were interpreted by 3 observers, and differences in interpretation were documented. There were 274 findings in 110 patients. Exact agreement in interpretation was found in 83%. A major discrepancy occurred in 2%, and a minor discrepancy occurred in 15%. Most discrepancies occurred in the setting of valvular heart disease. When compared with a consensus interpretation, no significant difference was seen in the number of errors between the digital and videotape interpretation. We conclude that the interpretation of a properly recorded digitized echocardiographic examination yields interpretations equivalent to those of videotape recordings.     

Temporal Gait Analysis Using Slow Motion Video and a Personal Computer

A technique for measuring the temporal components of human gait using a standard video recorder and a personal computer is presented. Its basis is to videotape a subject walking and to replay the tape in slow motion. This allows the key events of make and break of foot-floor contact, which define the temporal phases of the gait cycle, to be clearly separated and distinguished. The mouse button is used as the input device to the personal computer which records the relative times of the key events and from them calculates the temporal phases as percentages of stride time. The reliability and validity of the technique were tested using healthy subjects walking at self-selected slow, medium and fast walking speeds. The relatively low equipment cost, ease of use and speed of data collection suggest that the technique could be an asset in the assessment of gait by clinicians.     

Validating reasons for medication discontinuation in electronic patient records at hospital discharge

Rationale, aims and objectives The accuracy of health care professionals in reporting safety events determines their usefulness for both system improvement and research. The study objectives were to: (1) validate (assess the accuracy of) the reasons recorded by doctors and pharmacists for discontinuing medication orders at discharge in a hospital's electronic patient records (EPR); (2) investigate the causes of any detected recording inaccuracy; and (3) collect preliminary data on the frequency and types of medication discontinuation. Methods This was a validation study in one English hospital. The study comprised two steps: extraction of discontinued medication orders from the EPR followed by short structured interviews with doctors and pharmacists who made the discontinuation. A total of 104 discontinued orders were discussed during 15 face‐to‐face and six telephone interviews. The software package spss was used for data analysis. Results Duplication of therapy (27, 25.2%), omission of drug (23, 21.5%) and dosage regimen change (19, 17.8%) were the three most frequent reasons given for discontinuing medications. The majority of recorded discontinuation reasons were correct (100, 96.2%) and complete (101, 97.1%), and hence were judged accurate (97, 93.3%). The difference in accurate recording between doctors (15, 88.2%) and pharmacists (82, 94.3%) was not statistically significant. Potential causes of recording inaccuracy included: slip or lapse, lack of training, carelessness and electronic system rigidity. Conclusion This study showed that doctors and pharmacists recorded accurate reasons for the majority of the discontinued medication orders. It also showed that utilizing pharmacists' recorded reasons during clinical interventions using EPR was beneficial in understanding and characterizing prescribing errors. Although they require further research, the reasons identified present preliminary data about the most prevalent types of pharmacists' interventions during hospital discharge.     

Patient and specimen identification in a tertiary care pediatric hospital: Barcodes do not scan themselves

Background

Despite the safety improvements linked to the use of barcodes for patient and specimen identification, patient misidentification remains a leading cause of transfusion-associated reactions including fatalities. A wealth of evidence supports the use of barcodes in general, but there is less published evidence of real-world barcode compliance. This project investigates barcode scanning compliance for patient and specimen identification at a tertiary care pediatric/maternity hospital.

Study Design and Methods

Transfusion laboratory specimen collection noncompliance events between January 1, 2019, and December 31, 2019 were retrieved from the hospital laboratory information system. Data were analyzed including stratification of collections by collector role and collection event. A survey of blood collectors was conducted.

Results

Collection compliance for 6285 blood typing specimens was evaluated. Full barcode scanning identification of both patient and specimen was utilized in only 33.6% of total collections. The remaining two thirds of collections were overridden by the blood collector: no barcode scanning occurred in 31.3%, while the specimen accession label was scanned but not the patient armband in 32.3% of total collections. There were significant differences between phlebotomists and nurses, with more phlebotomists performing the full scanning and specimen scanning only, while more nurses obtained specimens without patient or specimen scanning (p < .001). Blood collectors identified hardware challenges and training gaps as key contributors to barcode noncompliance.

Discussion

Our study highlights an instance of poor barcode scanning compliance for patient and specimen identification. We formulated improvement strategies and launched a quality improvement project to address factors influencing noncompliance.     

When minutes count--the fallacy of accurate time documentation during in-hospital resuscitation

The purpose of this study is to examine the commonly held assumption that time is measured and documented accurately during resuscitation from cardiac arrest in the hospital. METHODS: A two-pronged approach was used to evaluate the accuracy of time documentation and measurement. First, two existing databases-the National Registry of Cardiopulmonary Resuscitation (NRCPR) and a 240-bed hospital's repository of cardiac arrest records-were evaluated for completeness and accuracy of documentation on resuscitation records of times required for calculating the Utstein gold-standard process intervals-recognition of pulselessness to starting cardiopulmonary resuscitation (CPR), delivery of first defibrillation shock, successful intubation, and epinephrine (adrenaline) administration. Second, nurses from a 900-bed hospital were interviewed to determine timepieces used during resuscitations, and timepieces were assessed for coherence and precision. RESULTS:: From the NRCPR database that included 10,689 pulseless cardiac arrests submitted by 176 hospitals, time data for calculating the Utstein intervals were missing for 10.9% of the interventions; negative intervals were calculated for 4%. From 232 consecutive resuscitation records from the 240-bed hospital, 85 records were identified from non-monitored units with staff who provided only CPR. Defibrillation, intubation and epinephrine administration were delayed until after arrival of advanced life support (ALS) responders; unlikely intervals of 0 min from event recognition to these ALS interventions were calculated for 11.5%. Sixty-seven nurses from the 900-bed hospital were interviewed; when documenting information during resuscitations, 21 (31.3%) reported using only patient room clocks, 30 (44.8%) only their watches, and 16 (23.9%) several timepieces. In all in-patient units in the same hospital, 241 timepieces (nurses' and physicians' watches, clocks in patient rooms, defibrillator clocks, central station monitors, and nursing station clocks) were compared to atomic time. The mean absolute time difference from atomic clock was 2.83 min (S.D. +/-5.9 min), median 1.88 min, and range 52.1 min slow to 72.85 min fast. There was no difference among timepieces (P = 0.35). CONCLUSIONS: Missing time data, negative calculated Utstein gold-standard process intervals, unlikely intervals of 0 min from arrest recognition to ALS interventions in units with CPR providers only, use of multiple timepieces for recording time data during the same event, and wide variation in coherence and precision of timepieces bring into question the ability to use time intervals to evaluate resuscitation practice in the hospital. Practitioners, researchers and manufacturers of resuscitation equipment must come together to create a method to collect and document accurately essential resuscitation time elements. Our ability to enhance the resuscitation process and improve patient outcomes requires that this be done.     

Barcode technology: its role in increasing the safety of blood transfusion

BACKGROUND: Incorrect blood component transfusion is the most frequent serious incident associated with transfusion. Errors responsible for these incidents frequently involve patient misidentification. STUDY DESIGN AND METHODS: This study evaluated a barcode patient identification system involving hand-held computers for blood sample collection for compatibility testing and the administration of blood. Audit of practice was carried out before and after its introduction. RESULTS: The baseline audit revealed poor practice, particularly in patient identification. Significant improvements were found in the procedure for the administration of blood following the introduction of barcode patient identification, including an improvement from 11.8 to 100 percent in the correct verbal identification of patients (p 相似文献   

Documentation discrepancies of time-dependent critical events in out of hospital cardiac arrest

Objectives

The timing of and interval between events in prehospital care is important for system design, patient outcome, and prehospital research. Since these data can guide treatment recommendations, it is imperative that time-based prehospital documentation is accurate and precise, especially for time-sensitive conditions such as out-of-hospital cardiac arrest (OHCA). We compared the times of select events documented in the medical record (PCR) with times from time-stamped audio recordings in the monitor-defibrillator (AUD).

Methods

A retrospective cohort of prehospital, adult, atraumatic OHCA resuscitations from two regional EMS agencies over a 10-month period was performed. Primary outcome was absolute difference (minutes) between PCR and AUD documented times for select events during OHCA resuscitation (IV access, IO access, first epinephrine administration, supraglottic airway insertion, endotracheal intubation, and return of spontaneous circulation). We describe the magnitude and direction of differences, and estimate the potential error in time intervals abstracted from the medical record.

Results

Of 411 patients treated by EMS, 192 had complete data for ≥1 event and 136 had complete data for ≥2 events. 422 total events were identifiable in both PCR and AUD. Median absolute time discrepancy between PCR and AUD was 2 (IQR 1–4) min. Median differences between the smallest and largest PCR–AUD discrepancy was 2 (IQR 1–4.5) min. Discrepancies were both positive and negative, and not consistent within individual records.

Conclusion

We found a 2 (IQR 1–4) min imprecision in the documented timing of select events during OHCA resuscitation. This imprecision contributes to uncertainty in analyses that incorporate time-stamped variables.     

Sports injury/illness reporting at major sporting events: development and implementation of a data collection system

When a large number of athletes compete intensely over a short period of time, a variety of sports injuries and illnesses are often encountered. Maintaining health records at these events presents a challenge to medical organizing committees. Accurate data collection is important, not only for planning of medical services, but also for development of prevention programs and policies relating to athletes' health. Recruitment of a dedicated data collection team with sports medicine background and computer expertise will facilitate collection and analysis of medical data at this type of event. This paper reviews the development and implementation of a sports injury and illness recording system used at the 1989 Jeux Canada Summer Games. Over 3500 participants had access to comprehensive medical services during the two weeks of competitions. Information on medical encounters was available daily during the games and a final report on sports injuries and illnesses was easily generated.     

Reliability and accuracy of Sequential Organ Failure Assessment (SOFA) scoring

OBJECTIVE: The Sequential Organ Failure Assessment (SOFA) score was developed to quantify the severity of patients' illness, based on the degree of organ dysfunction. This study aimed to evaluate the accuracy and the reliability of SOFA scoring. DESIGN: Prospective study. SETTING: Adult intensive care unit (ICU) in a tertiary academic center. SUBJECTS: Thirty randomly selected patient cases and 20 ICU physicians. MEASUREMENTS AND MAIN RESULTS: Each physician scored 15 patient cases. The intraclass correlation coefficient was .889 for the total SOFA score. The weighted kappa values were moderate (0.552) for the central nervous system, good (0.634) for the respiratory system, and almost perfect (>0.8) for the other organ systems. To assess accuracy, the physicians' scores were compared with a gold standard based on consensus of two experts. The total SOFA score was correct in 53% (n = 158) of the cases. The mean of the absolute deviations of the recorded total SOFA scores from the gold standard total SOFA scores was 0.82. Common causes of errors were inattention, calculation errors, and misinterpretation of scoring rules. CONCLUSIONS: The results of this study indicate that the reliability and the accuracy of SOFA scoring among physicians are good. We advise implementation of additional measures to further improve reliability and accuracy of SOFA scoring.     

Preparing data for analysis using microsoft Excel.

A critical component essential to good research is the accurate and efficient collection and preparation of data for analysis. Most medical researchers have little or no training in data management, often causing not only excessive time spent cleaning data but also a risk that the data set contains collection or recording errors. The implementation of simple guidelines based on techniques used by professional data management teams will save researchers time and money and result in a data set better suited to answer research questions. Because Microsoft Excel is often used by researchers to collect data, specific techniques that can be implemented in Excel are presented.