Radiology information system: a workflow-based approach

Purpose  Introducing workflow management technology in healthcare seems to be prospective in dealing with the problem that the current healthcare Information Systems cannot provide sufficient support for the process management, although several challenges still exist. The purpose of this paper is to study the method of developing workflow-based information system in radiology department as a use case. Method  First, a workflow model of typical radiology process was established. Second, based on the model, the system could be designed and implemented as a group of loosely coupled components. Each component corresponded to one task in the process and could be assembled by the workflow management system. The legacy systems could be taken as special components, which also corresponded to the tasks and were integrated through transferring non-work- flow-aware interfaces to the standard ones. Finally, a workflow dashboard was designed and implemented to provide an integral view of radiology processes. Result  The workflow-based Radiology Information System was deployed in the radiology department of Zhejiang Chinese Medicine Hospital in China. The results showed that it could be adjusted flexibly in response to the needs of changing process, and enhance the process management in the department. It can also provide a more workflow-aware integration method, comparing with other methods such as IHE-based ones. Conclusion  The workflow-based approach is a new method of developing radiology information system with more flexibility, more functionalities of process management and more workflow-aware integration. The work of this paper is an initial endeavor for introducing workflow management technology in healthcare.     

Non-Clinical Errors Using Voice Recognition Dictation Software for Radiology Reports: A Retrospective Audit

The purpose of this study is to ascertain the error rates of using a voice recognition (VR) dictation system. We compared our results with several other articles and discussed the pros and cons of using such a system. The study was performed at the Southern Health Department of Diagnostic Imaging, Melbourne, Victoria using the GE RIS with Powerscribe 3.5 VR system. Fifty random finalized reports from 19 radiologists obtained between June 2008 and November 2008 were scrutinized for errors in six categories namely, wrong word substitution, deletion, punctuation, other, and nonsense phrase. Reports were also divided into two categories: computer radiography (CR = plain film) and non-CR (ultrasound, computed tomography, magnetic resonance imaging, nuclear medicine, and angiographic examinations). Errors were divided into two categories, significant but not likely to alter patient management and very significant with the meaning of the report affected, thus potentially affecting patient management (nonsense phrase). Three hundred seventy-nine finalized CR reports and 631 non-CR finalized reports were examined. Eleven percent of the reports in the CR group had errors. Two percent of these reports contained nonsense phrases. Thirty-six percent of the reports in the non-CR group had errors and out of these, 5% contained nonsense phrases. VR dictation system is like a double-edged sword. Whilst there are many benefits, there are also many pitfalls. We hope that raising the awareness of the error rates will help in our efforts to reduce error rates and strike a balance between quality and speed of reports generated.     

Cancer Diagnosis Epigenomics Scientific Workflow Scheduling in the Cloud Computing Environment Using an Improved PSO Algorithm

Objective: Epigenetic modifications involving DNA methylation and histone statud are responsible for the stable maintenance of cellular phenotypes. Abnormalities may be causally involved in cancer development and therefore could have diagnostic potential. The field of epigenomics refers to all epigenetic modifications implicated in control of gene expression, with a focus on better understanding of human biology in both normal and pathological states. Epigenomics scientific workflow is essentially a data processing pipeline to automate the execution of various genome sequencing operations or tasks. Cloud platform is a popular computing platform for deploying large scale epigenomics scientific workflow. Its dynamic environment provides various resources to scientific users on a pay-per-use billing model. Scheduling epigenomics scientific workflow tasks is a complicated problem in cloud platform. We here focused on application of an improved particle swam optimization (IPSO) algorithm for this purpose. Methods: The IPSO algorithm was applied to find suitable resources and allocate epigenomics tasks so that the total cost was minimized for detection of epigenetic abnormalities of potential application for cancer diagnosis. Result: The results showed that IPSO based task to resource mapping reduced total cost by 6.83 percent as compared to the traditional PSO algorithm. Conclusion: The results for various cancer diagnosis tasks showed that IPSO based task to resource mapping can achieve better costs when compared to PSO based mapping for epigenomics scientific application workflow.     

基于Petri网的工作流模型简化

本品为葡萄糖、氯化钠、氯化钙、氯化镁和乳酸钠的灭菌水溶液。含葡萄糖（C6H12O6·H2O）、乳酸钠（C3H5NaO3）均应为标示量的90．0％～110．0％；含氯化钙（CaCl2·2H2O）应为标示量的85．0％～115．0％；含氯化镁（MgCl2·6H2O）均应为标示量的80．0％～120．0％；本品每1mL含总钠（Na）应为2．73～3—34mg；每1mL中含总氯（Cl）应为3．03～3．71mg。     

一种基于工作流的神经元信号处理软件包

介绍了在基于工作流的生物信息学软件平台上编写的可视化软件包(neural signal process tools),该软件包提供了比较完整的统计学算法,可实现多通道锋电位信号的并行处理,并将结果有效可视化,为在网络层次上研究神经元的功能和动力学特性提供了有力的支持。     

Implant time and process efficiency for CT-guided high-dose-rate brachytherapy for cervical cancer

PurposeThis investigation details the time and teamwork required for CT-guided tandem and ring high-dose-rate brachytherapy.Methods and MaterialsFrom 2010 to 2012, 217 consecutive implantations were identified on 52 patients. We gathered key workflow times: preoperative, applicator insertion, CT image, treatment planning, treatment, patient recovery, and total time in clinic. Linear fixed-effects models were used, and key workflow times were the outcome variables and factors including age, body mass index, stage, outside referral, number of implant per patient, number of implants per day, and year of implantation were examined as fixed effects.ResultsOf the 52 patients, 62% of the patients were Fédération Internationale de Gynécologie et d'Obstétrique Stage 2B, 88% were treated with concurrent chemotherapy, and 23% were treated at an outside facility and referred for the procedure. The mean times (minutes) for each step were as follows: preoperative evaluation, 93; insertion, 23; imaging, 45; treatment planning, 137; treatment, removal, and recovery, 115; total clinic time, 401. For the insertion time, the greater implant number per patient was significantly associated with a decreased total insertion time, with and without adjusting for other covariates, p = 0.002 and p = 0.0005, respectively. Treatment planning time was expedited with increasing number of implant per patient and comparing treatment times in 2012 with those in 2010, p = 0.01 and p < 0.0001, respectively.ConclusionsGynecologic brachytherapy requires a skillfully coordinated and efficient team approach. Identifying critical components and the time required for each step in the process is needed to improve the safety and efficiency of brachytherapy. Continuous efforts should be made to enhance the optimal treatment delivery in high-dose-rate gynecologic brachytherapy.