Designing a muon scattering scanner for nuclear debris measurement.

Removal of fuel debris is planned to start at Unit 2 of the Fukushima Daiichi Nuclear Power Plant. During the removal, it is desirable to distinguish fuel debris from radioactive wastes and to sort the fuel debris accordingly to the amounts of nuclear material contained. Muon scattering tomography invented at Los Alamos in the early 2000s is highly sensitivity to high-atomic-number materials such as uranium. A muon scanner to sort the debris is designed and currently in production. One of the challenges is to operate the muon scanner in the presence of high γ-ray radiations from the debris: muon-event-identification electronics and a muon-tracking algorithm in the presence of high γ-ray radiations were developed.

Alpha emitter detection systems using a UV light detector.

To visualize alpha contamination, an alpha-particle detection system has been developed that is capable of detecting alpha-induced UV lights from a few meters distance in dark environments. It detects UV lights from ionized nitrogen with a photomultiplier tube. To identify the contaminated spot quickly, large diameter lenses were designed and tested.

Developing and Sustaining an Open Source Electronic Health Record: Evidence from a Field Study in Japan.

Electronic Health Records (EHRs) are at the heart of reforms aimed at improving the efficiency and quality of healthcare services provided to citizens. Although there is still some skepticism, open source (OS) EHR is a growing phenomenon in health informatics. Given the widespread adoption of OS software (OSS) in several domains, including operating systems, and enterprise systems, the repeated shortfalls faced by healthcare organizations with dominant proprietary EHRs create an opportunity for other alternatives, such as OSS to demonstrate their abilities in addressing these well-documented problems, including inflexibility, high costs, and low interoperability. However, scholars have expressed extensive concerns about the sustainability of OS EHR. Recognizing that OSS project sustainability relies on their governance arrangements, this case study reports on the evolution of the governance and sustainability of a Japanese OS EHR project and provides rich insights to other open source EHR initiative stakeholders, including physicians, developers, researchers, and policy-makers.

The Development of Medical Markup Language Version 4 as a Clinical Document Exchange Format for Nationwide EHR Systems.

Medical Markup Language (MML) is a standard format for exchange of healthcare data among healthcare providers. Following the last major update (version 3), we developed new modules and discussed the requirements for the next major updates. Subsequently, in 2016 we released MML version 4 and used it to obtain clinical data from healthcare providers for a nationwide electronic health records (EHR) system. In this article we provide an overview of this major update of MML version 4 and discuss its interoperability for clinical data.

The prevalence and disease burden of severe eosinophilic asthma in Japan.

Background: There are limited data on the prevalence and burden of severe eosinophilic asthma (SEA) both in Japan and globally. This study aimed to assess the prevalence and burden of SEA in Japan. Methods: This study was a retrospective, observational cohort analysis using health records or health insurance claims from patients with severe asthma treated at Kyoto University Hospital. The primary outcome was the prevalence of SEA, defined as a baseline blood eosinophil count ≥300 cells/µL. Secondary outcomes included frequency and risk factors of asthma exacerbations, and asthma-related healthcare resource utilization and costs. Results: Overall, 217 patients with severe asthma were included; 160 (74%) had eosinophil assessments. Of these, 97cases (61%), 54cases (34%), and 33cases (21%) had a blood eosinophil count ≥150, ≥300, and ≥500 cells/µL, respectively. Proportion of SEA was 34%. Blood eosinophil count was not associated with a significantly increased frequency of exacerbations. In the eosinophilic group, lower % forced expiratory volume in 1 second and higher fractional exhaled nitric oxide were predictive risk factors, while the existence of exacerbation history was a predictive risk factor for asthma exacerbations in the non-eosinophilic group. Severe asthma management cost was estimated as ¥357,958/patient-year, and asthma exacerbations as ¥26,124/patient-year. Conclusions: Approximately, one-third of patients with severe asthma in Japan have SEA. While risk factors for exacerbations differed between SEA and severe non-eosinophilic asthma, both subgroups were associated with substantial disease and economic burden. From subgroup analysis, blood eosinophil counts could be an important consideration in severe asthma management.

AGING AND HEALTH TECHNOLOGY ASSESSMENT: AN IDEA WHOSE TIME HAS COME.

OBJECTIVES: With the increase in technologies to support an aging population, health technology assessment (HTA) of aging-related technologies warrants special consideration. At Health Technology Assessment international (HTAi) 2016 and HTAi 2017, an international panel explored interests in HTA focused on aging. METHODS: Panelists from five countries shared the state of aging and HTA in their countries. Opportunities were provided for participants to discuss and rate the themes identified by the panelists. RESULTS: In 2016, the highest ranked themes were: (i) identifying unmet needs of older adults that could be met by technology-how can HTA help?; (ii) differences in assessment of aging-related technologies-what is the scope?; and (iii) involvement of older adults and caregivers. These themes became the starting point for discussion in 2017, for which the highest ranked themes were: (i) identification of challenges in HTA and aging; and (ii) approaches to advancing effectiveness of HTA for aging. CONCLUSION: These discussions allowed for examination of future directions for HTA and aging: engagement of older adults to inform the agenda of HTA and the broader public policy enterprise; a systems approach to thinking about needs of older persons should support the type and level of care desired by the individual rather than the health institutions, and HTA should reflect these desires when evaluating technological aides; and there is potential for health information systems and "big data" to support HTA activities that assess usability of technologies for older adults. We hope to build on the momentum of this community to continue exploring opportunities for aging and HTA.

Development of a methodology for the detection of hospital financial outliers using information systems.

Comparison of financial indices helps to illustrate differences in operations and efficiency among similar hospitals. Outlier data tend to influence statistical indices, and so detection of outliers is desirable. Development of a methodology for financial outlier detection using information systems will help to reduce the time and effort required, eliminate the subjective elements in detection of outlier data, and improve the efficiency and quality of analysis. The purpose of this research was to develop such a methodology. Financial outliers were defined based on a case model. An outlier-detection method using the distances between cases in multi-dimensional space is proposed. Experiments using three diagnosis groups indicated successful detection of cases for which the profitability and income structure differed from other cases. Therefore, the method proposed here can be used to detect outliers.

Vision-based estimation of manipulation forces by deep learning of laparoscopic surgical images obtained in a porcine excised kidney experiment.

In robot-assisted surgery, in which haptics should be absent, surgeons experience haptics-like sensations as "pseudo-haptic feedback". As surgeons who routinely perform robot-assisted laparoscopic surgery, we wondered if we could make these "pseudo-haptics" explicit to surgeons. Therefore, we created a simulation model that estimates manipulation forces using only visual images in surgery. This study aimed to achieve vision-based estimations of the magnitude of forces during forceps manipulation of organs. We also attempted to detect over-force, exceeding the threshold of safe manipulation. We created a sensor forceps that can detect precise pressure at the tips with three vectors. Using an endoscopic system that is used in actual surgery, images of the manipulation of excised pig kidneys were recorded with synchronized force data. A force estimation model was then created using deep learning. Effective detection of over-force was achieved if the region of the visual images was restricted by the region of interest around the tips of the forceps. In this paper, we emphasize the importance of limiting the region of interest in vision-based force estimation tasks.

Rupture progression model of stress integration for virtual reality ablation.

Virtual reality (VR) simulation is expected to be advantageous to surgical training for invasive operations such as incision and dissection that are unrepeatable in the real world. This study focuses on ablation in order to provide a simulation model for soft tissue rupture progression. To simulate soft tissue handling by two or more manipulators, the model must calculate the stress accumulation at the tip of a rupture. This stress accumulation is affected by the stress condition caused by the manipulators. Herein, the authors propose a method to integrate multiple stresses with two different hypotheses. The proposed model was evaluated through the simulation of primitive board ablation.

Governance and Sustainability of an Open Source Electronic Health Record: An Interpretive Case Study of OpenDolphin in Japan.

Electronic Health Records (EHRs) are at the heart of reforms aiming for improving the efficiency and quality of citizens healthcare services. Although there is still some skepticism, open source (OS) EHR is a growing phenomenon in health informatics. Given the widespread adoption of OS software (OSS) in several domains, including operating systems, and enterprise systems, the repeated shortfalls faced by healthcare organizations with dominant proprietary EHRs create an opportunity for other alternatives, such as OSS to demonstrate their abilities in addressing these well-documented problems, including inflexibility, high costs, and low interoperability. However, scholars have expressed extensive concerns about the sustainability of OS EHR. Recognizing that OSS project sustainability relies on their governance arrangements, this case study reports on the evolution of the governance and sustainability of a Japanese OS EHR project and provides rich insights to other open source EHR initiative stakeholders, including physicians, developers, researchers, and policymakers.

Designing Archetype Models for Each Step of Workflow in Medication.

Medication processes are consisted with multiple steps by professionals and consumers. Physicians prescribe drugs to patient with conformance, but sometimes they were changed to other drugs. We designed concept models to capture medication workflow process records by openEHR archetype models, and four templates were determined with each step of the medication process. We will show the detail of clinical modeling about medication workflow in this article.

Original Laboratory Test Code Mapping System Using Test Result Data on Electronic Health Record.

Laboratory tests results have potential secondary usage. Each healthcare facility has a laboratory test code. Hence, test code mapping is required to support laboratory technicians. An automatic code mapping can reduce the burden of manual mapping during data preparation. The authors developed a semi-automatic mapping support system that uses the newest test results generated in the electronic health record.

Asynchronous teaching of psychomotor skills through VR annotations: evaluation in digital rectal examination.

Many VR technology based training systems use expert's motion data as the training aid, but would not provide any short-cut to teaching medical skills that do not depend on exact motions. Earlier we presented Annotated Simulation Records (ASRs), which can be used to encapsulate experts' insight on psychomotor skills. Annotations made to behavioural parameters in training simulators enable asynchronous teaching instead of just motion training in a proactive way to the learner. We evaluated ASRs for asynchronous teaching of Digital Rectal Examination (DRE) with 3 urologists and 8 medical students. The ASRs were found more effective than motion-based training with verbal feedback.

A proposal of speculative operation on distributed system for FEM-based ablation simulator.

This study aims to provide physics-based force feedback system on distributed system for simulating invasive operation such as ablation. conventional PC-based VR surgical simulators with haptic interaction are hard to provide sufficient computational resources for the simulation of physics-based soft tissue fracture. For proper presentation of force feedback as real operations, physics-based simulation is inevitable. At the same time finite element method requires huge computational complexites. In this paper, the authors propose server-side speculative operation method on application layer for hiding the calculation latencies. The proposed method would achieve the response acceleration without the decomposition of conventional simulation process. The theoritical estimates of speculation parameters are mentioned.

Semi-automatic development of optimized surgical simulator with surgical manuals.

Recently, simulation platform and libraries are provided from several research groups. However, development of VR-based surgical simulator takes much effort not only for implementing simulation modules but also for setting surgical environment and choosing simulation modules. Surgical manual describes knowledge of manipulations in surgical procedure. In this study, language processing is used to extract anatomical objects and surgical manipulations in a scene from surgical manual. In addition, benchmark and LOD control of simulation modules optimize the simulation. We propose a framework of semi-automatic development of optimized simulator with surgical manuals. In the framework, SVM based machine learning is adapted in extracting surgical information and XML file was made. Simulation programs were created from XML file using a simulation library in different system configurations.

Mapping HL7 CDA R2 Formatted Mass Screening Data to OpenEHR Archetypes.

Mass screening of adults was performed to manage employee healthcare. The screening service defined the data collection format as HL7 Clinical Document Architecture (CDA) R2. To capture mass screening data for nationwide electronic health records (her), we programmed a model within the CDA format and mapped the data items to the ISO13606/openEHR archetype for semantic interoperabiilty.

Privacy Policy Implementation on the Nation-Wide EHR in Japan for Hospitals and Patients.

Shared clinical information is an important contribution to regional medicine. Clinical information sharing with patients is also recommended to motivate patients and promote health. On the other hand, the threat of information leaks, caused by internet connected records, is critical to hospitals. The traditional approach is complete isolation of hospital networks, instead of information sharing. The authors propose methods here to maximize information sharing by following hospital preferences for electronic health records.

Authenticating Unknown Doctors for Access to EHRs Based on Societal Trust.

Many isolated EHRs in Japan hinders the availability of patients' clinical data who need treatment in a region outside the scope of their local EHR. We propose a timelier approach that increases availability of patient clinical data to unknown doctors and has the patient and their representative involved; they can grant access to doctors who are anonymous to the patients' local EHR domain.

Generation of openEHR Test Datasets for Benchmarking.

openEHR is a widely used EHR specification. Given its technology-independent nature, different approaches for implementing openEHR data repositories exist. Public openEHR datasets are needed to conduct benchmark analyses over different implementations. To address their current unavailability, we propose a method for generating openEHR test datasets that can be publicly shared and used.

FEM-based soft tissue destruction model for ablation simulator.

In surgical procedures, ablation is one of the most difficult skills to train and acquire. For the risk of ablation failure, ablation training environments are desired. This paper proposes FEM-based deformation and destruction soft tissue model for ablation training simulator. The proposed model employs shearing stress hypothesis. The result of simulation experiments shows that the model can express different destruction progression by manipulation.