1.Archetype Model-Driven Development Framework for EHR Web System.
Shinji KOBAYASHI ; Eizen KIMURA ; Ken ISHIHARA
Healthcare Informatics Research 2013;19(4):271-277
OBJECTIVES: This article describes the Web application framework for Electronic Health Records (EHRs) we have developed to reduce construction costs for EHR sytems. METHODS: The openEHR project has developed clinical model driven architecture for future-proof interoperable EHR systems. This project provides the specifications to standardize clinical domain model implementations, upon which the ISO/CEN 13606 standards are based. The reference implementation has been formally described in Eiffel. Moreover C# and Java implementations have been developed as reference. While scripting languages had been more popular because of their higher efficiency and faster development in recent years, they had not been involved in the openEHR implementations. From 2007, we have used the Ruby language and Ruby on Rails (RoR) as an agile development platform to implement EHR systems, which is in conformity with the openEHR specifications. RESULTS: We implemented almost all of the specifications, the Archetype Definition Language parser, and RoR scaffold generator from archetype. Although some problems have emerged, most of them have been resolved. CONCLUSIONS: We have provided an agile EHR Web framework, which can build up Web systems from archetype models using RoR. The feasibility of the archetype model to provide semantic interoperability of EHRs has been demonstrated and we have verified that that it is suitable for the construction of EHR systems.
Automatic Data Processing
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Computing Methodologies
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Electronic Health Records
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Indonesia
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Internet
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Semantics
2.Design of power and data telemetry system utilizing Class-E amplifier for visual prosthesis.
Bo LIU ; Kaijie WU ; Xiaobei WU ; Xinyu CHAI
Chinese Journal of Medical Instrumentation 2011;35(4):239-245
A wireless transmission system for visual prosthesis is introduced. Power and data are transmitted through inductive link between only one pair of coils, in order to reduce the size of the device. The transmitter is based on Class-E power amplifier due to its high efficiency, and a modulation circuit is added to control the dc supply of the Class-E amplifier to achieve ASK modulation of data with modulation depth of 25%. In addition, an experimental system is implemented, and test shows that it sufficiently supports a 16-channel micro-stimulator on power delivery and data transfer rate.
Amplifiers, Electronic
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Automatic Data Processing
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Electric Power Supplies
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Electronics, Medical
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Prosthesis Design
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Telemetry
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Visual Prosthesis
3.Real-time data monitoring for ulcerative colitis: patient perception and qualitative analysis
Alissa WALSH ; Lawrence MATINI ; Christopher HINDS ; Vanashree SEXTON ; Oliver BRAIN ; Satish KESHAV ; John GEDDES ; Guy GOODWIN ; Gary COLLINS ; Simon TRAVIS ; Michele PETERS
Intestinal Research 2019;17(3):365-374
BACKGROUND/AIMS: TrueColours ulcerative colitis (TCUC) is a comprehensive web-based program that functions through email, providing direct links to questionnaires. Several similar programs are available, however patient perspectives are unexplored. METHODS: A pilot study was conducted to determine feasibility, usability and patient perceptions of real-time data collection (daily symptoms, fortnightly quality of life, 3 monthly outcomes). TCUC was adapted from a web-based program for patients with relapsing-remitting bipolar disorder, using validated UC indices. A semi-structured interview was developed and audio-recorded face-to-face interviews were conducted after 6 months of interaction with TCUC. Transcripts were coded in NVivo11, a qualitative data analysis software package. An inductive approach and thematic analysis was conducted. RESULTS: TCUC was piloted in 66 patients for 6 months. Qualitative analysis currently defies statistical appraisal beyond “data saturation,” even if it has more influence on clinical practice than quantitative data. A total of 28 face-to-face interviews were conducted. Six core themes emerged: awareness, control, decision-making, reassurance, communication and burden of treatment. There was a transcending overarching theme of patient empowerment, which cut across all aspects of the TCUC experience. CONCLUSIONS: Patient perception of the impact of real-time data collection was extremely positive. Patients felt empowered as a product of the self-monitoring format of TCUC, which may be a way of improving self-management of UC whilst also decreasing the burden on the individual and healthcare services.
Automatic Data Processing
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Bipolar Disorder
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Colitis, Ulcerative
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Data Collection
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Delivery of Health Care
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Electronic Mail
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Humans
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Patient Participation
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Pilot Projects
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Quality of Life
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Self Care
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Statistics as Topic
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Ulcer
4.Leveraging Devices, Data and Discovery for Smarter Healthcare in Japan.
Healthcare Informatics Research 2011;17(3):184-189
OBJECTIVES: Over the past decade, hospitals and clinics have gradually adopted hospital information systems, including provider order entries and electronic health records. Although these systems have helped to improve patient safety and efficiency of healthcare providers, not all healthcare providers and patients are satisfied with the current situation. Healthcare should be smarter. Thus, there is a need for state-of-the-art medical and healthcare devices that can handle massive amounts of data with the help of sophisticated information processing and discovery technologies. METHODS: This article compares hospital information systems with the information systems of other social infrastructures. It also explores the possibilities of smarter healthcare, including personal health devices and personal health records with interoperability. RESULTS: The main traits of the iEHR at Teikyo University Hospital in Tokyo include IT governance, unification, and workflow efficiency. CONCLUSIONS: Smarter healthcare can be achieved by leveraging the full capabilities of devices, data, and sophisticated algorithms.
Automatic Data Processing
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Delivery of Health Care
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Electronic Health Records
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Equipment and Supplies
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Health Personnel
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Health Records, Personal
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Hospital Information Systems
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Humans
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Information Systems
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Japan
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Patient Safety
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Tokyo
5.Ajax-based child growth monitoring chart automatic drawing.
Journal of Biomedical Engineering 2010;27(5):1016-1050
As regards the application of community residents electronics health record system, there is a question of how to draw the child growth monitoring chart quickly and efficiently, which is also the focus of this research for enhancing residents experience in using the system. The system is combined with the current emerging Ajax and GDI+ technology. The client uses the pre-designed Ajax Manager status to deal with residents' request and send XMLHTTP request to the server. Sever responds to the request and makes use of GDI+ programming for implementation of rendering graphics and feedback. The system finally realizes child growth monitoring chart releasing on the Web.
Automatic Data Processing
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methods
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Body Height
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Body Weight
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Child Development
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Electronic Health Records
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Female
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Humans
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Infant
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Infant, Newborn
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Male
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Monitoring, Physiologic
6.An experimental study on the information processing in chronic schizophrenics.
Jeong Soo DO ; Seong Keun WANG
Journal of Korean Neuropsychiatric Association 1991;30(2):303-311
No abstract available.
Automatic Data Processing*
7.ChroView: A Trace Viewer for Browsing and Editing Chromatogram files.
Hong Seok TAE ; Eun Bae KONG ; Kie Jung PARK
Genomics & Informatics 2007;5(1):30-31
Many visualization tools have been designed to aid information processing during whole genome projects. We have developed a trace viewer program, ChroView, which can read a chromatogram file and display the chromatogram traces of the four bases. The program can be used to examine sequencing quality and base-calling errors. It can also help researchers to edit and save base-calling results while browsing the traces. Additionally, this program has a basecalling feature which can produce supplementary data for validation of the results from other base-calling programs.
Automatic Data Processing
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Genome
8.Transaction Serializability with Security in Heterogeneous Medical Database Systems.
Hyun Cheol JEONG ; Chang Gyun LIM
Journal of Korean Society of Medical Informatics 1999;5(3):109-118
The integrated management of medical data raised the efficiency of them and improved doctor' s diagnostic ability by processing correct data. Various medical information processing led out the development of new medical technology and is incurring huge changes for the medical examination and diagnosis. In medical database security, both serializability and security must be considered to maintain data consistency and prevent covert channel. In the security environments of heterogeneous medical database systems, the existing local autonomy and the security autonomy as a new constraint are required. This paper defines multilevel secure one-copy quasi-serializability (MLS/1QSR) necessary for concurrency control in heterogeneous medical database systems with replicated data to solve security problem among many objects of medical database systems. The proposed MLS/1QSR neither violates security autonomy nor establishes covert channel for transactions in heterogeneous medical database systems.
Automatic Data Processing
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Diagnosis
9.Information processing and its neuroanatomy in schizophrenia.
Journal of Korean Neuropsychiatric Association 1991;30(4):629-651
No abstract available.
Automatic Data Processing*
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Neuroanatomy*
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Schizophrenia*
10.Cognitive Rehabilitation for Schizophrenia.
Hee Sang LEE ; Suk Kyoon AN ; Man Hong LEE
Journal of Korean Neuropsychiatric Association 1998;37(2):203-214
It is widely accepted that patients with schizophrenia show disturbances in their cognitive function. Recently, due to the increase of the possibilities of therapeutic intervention for cognitive deficits, cognitive rehabilitation is being tried by clinicians in the management of schizophrenia. Our study has considered several questions that have been raised in relation to cognitive rehabilitation. 1) What is cognitive rehabilitation? ; 2) What are its strategies? ; 3) What strategy of cognitive rehabilitation is appropriate to several cognitive deficits? ; 4) What kind of cognitive rehabilitation methods are possible according to the information processing model for schizophrenia? ; 5) What is its clinical considerations? ; 6) On what theoretical basis does the critical view of cognitive rehabilitation have its roots? ; 7) Which direction should it follow? Despite its limitation, there are still great possibilities for the future of cognitive rehabilitation, and we feel that it should be tried for patients with schizophrenia in this country.
Automatic Data Processing
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Humans
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Rehabilitation*
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Schizophrenia*