Stent placement above the sphincter of Oddi is a useful option for patients with inoperable malignant hilar biliary obstruction.

BACKGROUND AND AIMS: Endoscopic biliary drainage (EBD) is essential for the management of malignant hilar biliary obstruction (MHBO). We prospectively evaluated the efficacy and safety of "inside-stent" therapy, where a plastic stent is placed above the sphincter of Oddi without endoscopic sphincterotomy, in patients with inoperable MHBO. METHODS: This study was a multicenter, single-blinded, randomized controlled trial at three centers. Patients with inoperable MHBO were enrolled in this study, and randomly assigned to receive an inside-stent or conventional-stent therapy. The primary endpoint was cumulative stent patency of the initial stent. The secondary endpoints were second stent patency, technical and clinical success rate, adverse events, re-intervention rate, and overall patient survival. RESULTS: Forty-three patients were randomly assigned to the inside-stent group (n = 21) or the conventional-stent group (n = 22). The median cumulative stent patency of the initial stent was 123 days in the inside-stent group and 51 days in the conventional-stent group (P = .031). For patients with the initial stent dysfunction in the conventional-stent group, the inside-stent was placed as a second stent, and its patency was significantly longer than that of the initial stent (P = .0001). The technical and clinical success rate, re-intervention rate, second stent patency, adverse events, and survival probability did not differ between the groups. CONCLUSIONS: Inside-stent therapy appears to be useful not only as an initial stent but also as a second stent for patients with inoperable MHBO. TRIAL REGISTRATION NUMBER: UMIN000004587.

Comparison of a 22-gauge Franseen-tip needle with a 20-gauge forward-bevel needle for the diagnosis of type 1 autoimmune pancreatitis: a prospective, randomized, controlled, multicenter study (COMPAS study).

BACKGROUND AND AIMS: Histologic diagnosis of autoimmune pancreatitis (AIP) using EUS-guided FNA (EUS-FNA) is difficult. To address this issue, new fine-needle biopsy (FNB) needles were recently developed. Here, we prospectively evaluated 2 newly designed EUS-FNB needles for histologic evaluation in patients with type 1 AIP. METHODS: This was a prospective, randomized, multicenter trial comparing biopsy specimens obtained with a 22-gauge Franseen needle or a 20-gauge forward-bevel needle in patients with suspected type 1 AIP. AIP was diagnosed according to international consensus diagnostic criteria. The primary endpoint was the sensitivity of EUS-FNB needles, and secondary endpoints were the amount of specimen obtained, histology of the pancreas based on evaluation of lymphoplasmacytic sclerosing pancreatitis (LPSP), and contribution of histologic findings to the diagnosis of AIP. RESULTS: One hundred ten patients were randomly assigned to the Franseen group (22-gauge Franseen needle) or the forward-bevel group (20-gauge forward-bevel needle). EUS-FNB sampling was successful in all patients. Nine patients were excluded because of diagnoses other than AIP. Compared with the forward-bevel needle, the Franseen needle obtained a significantly greater number of high-power fields. Of 101 patients, 39 patients (78%) in the Franseen group and 23 patients (45%) in the Forward-bevel group were diagnosed with level 1 or 2 LPSP (P = .001). Thirty-six patients could not be diagnosed with type 1 AIP without EUS-FNB specimen results. CONCLUSIONS: The 22-gauge Franseen needle should be routinely used for histologic diagnosis of type 1 AIP. (Clinical trial registration number: UMIN 000027668.).

Comparison between a rotatable sphincterotome and a conventional sphincterotome for selective bile duct cannulation.

BACKGROUND: Selective biliary cannulation (SBC) is the first challenge of endoscopic retrograde cholangiopancreatography (ERCP), especially for trainees, and a rotatable sphincterotome may be useful to guide the directional axis of the scope and SBC. METHODS: We performed a prospective randomized single-center trial, enrolling 200 patients with a native papilla who required therapeutic biliary ERCP. Patients were randomly assigned to the rotatable sphincterotome group (n = 100) or the conventional sphincterotome group (n = 100). The primary endpoint was successful SBC by the trainees within 10 minutes. RESULTS: The early and late cannulation success rates did not differ significantly between the groups (P = 0.46 and P > 0.99, respectively). For the patients in whom trainees failed to achieve SBC, the rotatable sphincterotome was used as a rescue cannulation technique in four patients from the conventional group; in no patients in the rotatable group was the conventional sphincterotome used for SBC. Post-ERCP pancreatitis (PEP) occurred in 11 patients (5.5 %; 6 mild, 5 moderate); the incidence did not differ significantly between the two groups (rotatable group 3 %, conventional group 8 %; P = 0.21). The two groups were thus combined for evaluation of the factors relating to cannulation difficulty for trainees, which revealed that orientation of the papilla was a significant factor (P < 0.001). CONCLUSIONS: The type of sphincterotome used did not affect the success of SBC by trainees. However, orientation of the papilla was revealed to be a significant factor relating to cannulation difficulty for trainees overall.

The Improvement of the Electronic Health Record User Experience by Screen Design Principles.

The amount and complexity of data accumulated in electronic health record (EHR) is quite large, and the quantity of information that clinicians can examine and handle is very limited. Thus, it is necessary to enhance the accessibility of EHR by improving the user experience (UX). To apply information visualization that turns EHR data into an understandable visual format, we propose following five screen design principles when designing UX interfaces. #1: One view should contain single patient data. #2: Data should be summarized or titled for overview and details should be given on-demand. #3: Data should be displayed in time-series. #4: Data should be categorized by primary type. #5: More data should be displayed at the same time. Three screen designs are plausible utilizing the above-mentioned principles. To measure the UX of screen designs and validate the design principles, we built an EHR viewer system that has three windows corresponding to these screen designs and had it tested by medical staff. The results of the test revealed that the UX of the screen design is proportional to the number of design principles that the screen design incorporates. It shows that the proposed screen design principles improve the UX of EHR.

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.

Development of the AI Pipeline for Corneal Opacity Detection.

Ophthalmological services face global inadequacies, especially in low- and middle-income countries, which are marked by a shortage of practitioners and equipment. This study employed a portable slit lamp microscope with video capabilities and cloud storage for more equitable global diagnostic resource distribution. To enhance accessibility and quality of care, this study targets corneal opacity, which is a global cause of blindness. This study has two purposes. The first is to detect corneal opacity from videos in which the anterior segment of the eye is captured. The other is to develop an AI pipeline to detect corneal opacities. First, we extracted image frames from videos and processed them using a convolutional neural network (CNN) model. Second, we manually annotated the images to extract only the corneal margins, adjusted the contrast with CLAHE, and processed them using the CNN model. Finally, we performed semantic segmentation of the cornea using annotated data. The results showed an accuracy of 0.8 for image frames and 0.96 for corneal margins. Dice and IoU achieved a score of 0.94 for semantic segmentation of the corneal margins. Although corneal opacity detection from video frames seemed challenging in the early stages of this study, manual annotation, corneal extraction, and CLAHE contrast adjustment significantly improved accuracy. The incorporation of manual annotation into the AI pipeline, through semantic segmentation, facilitated high accuracy in detecting corneal opacity.

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.

Associations among cardiovascular and cerebrovascular diseases: Analysis of the nationwide claims-based JROAD-DPC dataset.

Cardiovascular and cerebrovascular diseases are frequently interconnected due to underlying pathology involving atherosclerosis and thromboembolism. The aim of this study was to investigate the impact of clinical interactions among cardiovascular and cerebrovascular diseases on patient outcomes using a large-scale nationwide claims-based dataset. Cardiovascular diseases were defined as myocardial infarction, heart failure, atrial fibrillation, and aortic dissection. Cerebrovascular diseases were defined as cerebral infarction, intracerebral hemorrhage, and subarachnoid hemorrhage. This retrospective study included 2,736,986 inpatient records (1,800,255 patients) at 911 hospitals from 2015 to 2016 from Japanese registry of all cardiac and vascular disease-diagnostic procedure combination dataset. Interactions among comorbidities and complications, rehospitalization, and clinical outcomes including in-hospital mortality were investigated. Among hospitalization records that involved cardiovascular disease, 5.9% (32,686 records) had cerebrovascular disease as a comorbidity and 2.1% (11,362 records) included an incident cerebrovascular complication after hospitalization. Cerebrovascular disease as a comorbidity or complication was associated with higher in-hospital mortality than no cerebrovascular disease (adjusted odds ratio (OR) [95% confidence interval]: 1.10 [1.06-1.14], 2.02 [1.91-2.13], respectively). Among 367,904 hospitalization records that involved cerebrovascular disease, 17.7% (63,647 records) had cardiovascular disease listed as comorbidity and 3.3% (11,834 records) as a complication. Only cardiovascular disease as a complication was associated with higher in-hospital mortality (adjusted OR [95% confidence interval]: 1.29 [1.22-1.37]). In addition, in-hospital mortality during rehospitalization due to the other disease was significantly higher than mortality during the hospitalization due to the first disease. In conclusion, substantial associations were observed between cardiovascular and cerebrovascular disease in a large-scale nationwide claims-based dataset; these associations had a significant impact on clinical outcomes. More intensive prevention and management of cardiovascular and cerebrovascular disease might be crucial.

Construction of a Home Digital Signage System to Promote Walking as a Physical Activity.

Physical inactivity is a social problem related to health. Based on the concept of health communication, this study aims to construct a mechanism to provide continuous information to improve physical activity. We built a "home digital signage system" which consists of a function of collecting the localized information from the websites and distributing to the tablets. The results of the introduction of this system have been suggested to promote walking by increasing media exposure.

Analysis for the Annual Text Amount of Electronic Medical Records.

The amount of text of electronic medical records and its changes over time are not clear. In designing an electronic medical records system, prediction of the amount of text is important. We analyzed the number of characters described in the electronic medical records. As a result, it became clear that the annual text quantity of electronic medical records follows the lognormal distribution, and also the amount has been increasing year by year.

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.

Transfusion checkup system using mobile terminals.

Kyoto University Hospital introduces a new hospital information system on January 2005. The system introduces ubiquitous information system using mobile terminals for nursing information support and implements a transfusion checkup system, as a single error in the transfusion process may result in a serious accident. The developed system carefully designed to suit real workflow and to make full use of the benefits of mobile terminals increases efficiency and the safety of transfusion.

Nurses' Actual Usage of EMRs: An Access Log-Based Analysis.

Access logs for electronic medical records (EMRs) are a useful source of data for understanding how nurses' perform their duties. The purpose of this study was to understand how nurses' used an EMR system, by inspecting and analyzing from one week EMR access logs (394,708) of accessing 'outcome Input' screen. Anytime day and night, nurses accessed 'outcome Input' screen. Viewing and information input obtained from observations, in order to monitor patients' conditions over tasks such as keeping nursing records.

Study of Screen Design Principles for Visualizing Medical Records.

To improve UX of EMR/EHR, the screen design principles for the visualization are required. Through the study of common attributes of medical records, we present four principles and show three screen designs by applying them.

Bluetooth Roaming for Sensor Network System in Clinical Environment.

A sensor network is key infrastructure for advancing a hospital information system (HIS). The authors proposed a method to provide roaming functionality for Bluetooth to realize a Bluetooth-based sensor network, which is suitable to connect clinical devices. The proposed method makes the average response time of a Bluetooth connection less than one second by making the master device repeat the inquiry process endlessly and modifies parameters of the inquiry process. The authors applied the developed sensor network for daily clinical activities in an university hospital, and confirmed the stabilitya and effectiveness of the sensor network. As Bluetooth becomes a quite common wireless interface for medical devices, the proposed protocol that realizes Bluetooth-based sensor network enables HIS to equip various clinical devices and, consequently, lets information and communication technologies advance clinical services.

A Development of Automatic Audit System for Written Informed Consent using Machine Learning.

In Japan, most of all the university and advanced hospitals have implemented both electronic order entry systems and electronic charting. In addition, all medical records are subjected to inspector audit for quality assurance. The record of informed consent (IC) is very important as this provides evidence of consent from the patient or patient's family and health care provider. Therefore, we developed an automatic audit system for a hospital information system (HIS) that is able to evaluate IC automatically using machine learning.

A Trial of Nursing Cost Accounting using Nursing Practice Data on a Hospital Information System.

Hospital administration is very important and many hospitals carry out activity-based costing under comprehensive medicine. However, nursing cost is unclear, because nursing practice is expanding both quantitatively and qualitatively and it is difficult to grasp all nursing practices, and nursing cost is calculated in many cases comprehensively. On the other hand, a nursing information system (NIS) is implemented in many hospitals in Japan and we are beginning to get nursing practical data. In this paper, we propose a nursing cost accounting model and we simulate a cost by nursing contribution using NIS data.

The development of a multiplayer game for education of hospital management.

This paper designed and prototyped a networked hospital management serious game for education, and evaluated the prototype. A player, the president of each hospital, makes management decisions under various clinical indicators, and the decision affects condition of the other hospitals as well as of his/her own. The interaction makes the players compete, and, at the same time, exchange their findings each other.