This paper Analys the design goals of Medical Instrumentation standard information retrieval system. Based on the B /S structure,we established a medical instrumentation standard retrieval system with ASP.NET C # programming language, IIS f Web server, SQL Server 2000 database, in the. NET environment. The paper also Introduces the system structure, retrieval system modules, system development environment and detailed design of the system.
Database Management Systems ; Equipment and Supplies ; standards ; statistics & numerical data ; Information Systems ; Internet ; Medical Records Systems, Computerized

This article demonstrates the necessity and feasibility of setting up the ophthalmology information management system. It expounds the system's configuration, main functions and hardware, especially the key designing points of the information interfaces.
Management Information Systems ; Medical Records Systems, Computerized ; Ophthalmology ; statistics & numerical data ; Software ; Software Design

OBJECTIVETo study the distribution of the direct medical cost for the pneumoconiosis and to provide the clue for the trauma insurance.

METHODS936 cases including 109,530 records were divided into several groups by the stages of pneumoconiosis and categories of the cost. The groups (stage I, stage II, stage I with tuberculosis and stage II with tuberculosis) were analyzed by descriptive statistics and non-parameter test.

RESULTSThe medical cost of out-patient clinic was between 476.7 and 2307.9 yuan per patient per year. The hospitalization medical cost of stage I and II ranged from 3207.1 yuan to 7787.3 yuan per patient per year. There was no difference between stage I and II in statistically significant (P>0.05).

CONCLUSIONThe lower and upper inter-quartile range of the total medical cost per patient per year is from 3207.1 yuan to 7787.3 yuan. In the categories of the hospitalization cost, drugs and bed fees attain a higher proportion.

Adult ; Aged ; Aged, 80 and over ; Health Care Costs ; statistics & numerical data ; Humans ; Male ; Medical Records Systems, Computerized ; statistics & numerical data ; Metallurgy ; Middle Aged ; Pneumoconiosis ; economics ; Retrospective Studies ; Steel

In this paper, a restorable watermarking algorithm is proposed for medical image content authentication. Important DWT coefficients are chosen to be coded with the SPIHT algorithm for generating watermarking. The improved security watermark scrambled by Arnold transformation was then embedded into the lower bits of the image data. Finally, the chain structure was used to detect the watermarking and identify the altered positions. The altered data in an image was restored by SPIHT decoding. The experimental results demonstrated that the watermarked image not only possessed good perceptual transparence but also allowed location and restoration of the tampered content.
Algorithms ; Biomedical Engineering ; Computer Security ; Diagnostic Imaging ; standards ; statistics & numerical data ; Image Interpretation, Computer-Assisted ; methods ; Medical Records Systems, Computerized ; organization & administration ; standards

PURPOSE: The purpose of this study was to identify the entity of critical care nursing practices through analyzing nursing statements described by electronic nursing records in a MICU. METHODS: 176,459 nursing statements of 188 patients during a 6 month-stay were analyzed statement by statement according to the nursing process(nursing phenomena, nursing diagnosis, & nursing activity) and 21 nursing components of Saba's Clinical Care Classification. RESULTS: Among 176,459 single statements, the statements of nursing activity ranked first in number. The contents of the statements were analyzed and categorized by main themes. Among 489 categorized themes, the number of themes of nursing phenomena statements was the highest. When analyzed by Saba's clinical Care Classification, the nursing statements mainly included a physiological component. Among 21 components, the respiratory component ranked in the first position in nursing phenomena, nursing diagnosis and nursing activity. The extra statements not included in the 21 components were 9,294(15.1%) in nursing phenomena and 21,949(22.7%) in nursing activity. Most are statements related to tests and the doctor. CONCLUSION: The entity of MICU nursing practice expressed by electronic nursing records was mainly focused on physiological components and more precisely on respiratory components.
Humans ; *Intensive Care Units ; Medical Records Systems, Computerized/*statistics & numerical data ; Nursing Diagnosis ; Nursing Process/*classification ; Retrospective Studies ; Task Performance and Analysis

AIMTo improve workflow and usability by introduction of a new electronic patient record (EPR) and database.

METHODSEstablishment of an EPR based on open source technology (MySQL database and PHP scripting language) in a tertiary care andrology center at a university clinic. Workflow analysis, a benchmark comparing the two systems and a survey for usability and ergonomics were carried out.

RESULTSWorkflow optimizations (electronic ordering of laboratory analysis, elimination of transcription steps and automated referral letters) and the decrease in time required for data entry per patient to 71%+/-27%, P<0.05, lead to a workload reduction. The benchmark showed a significant performance increase (highest with starting the respective system: 1.3+/-0.2 s vs. 11.1+/-0.2 s, mean+/-SD). In the survey, users rated the new system at least two ranks higher over its predecessor (P<0.01) in all sub-areas.

CONCLUSIONWith further improvements, today's EPR can evolve to substitute paper records, saving time (and possibly costs), supporting user satisfaction and expanding the basis for scientific evaluation when more data is electronically available. Newly introduced systems should be versatile, adaptable for users, and workflow-oriented to yield the highest benefit. If ready-made software is purchased, customization should be implemented during rollout.

Andrology ; organization & administration ; Benchmarking ; Databases as Topic ; standards ; Ergonomics ; Germany ; Hospitals, University ; Humans ; Male ; Medical Records Systems, Computerized ; standards ; Outpatient Clinics, Hospital ; organization & administration ; Systems Analysis ; User-Computer Interface ; Work Simplification ; Workload ; statistics & numerical data

INTRODUCTIONThere is interest in surveillance systems for outbreak detection at stages where clinical presentation would still be undifferentiated. Such systems focus on detecting clusters of syndromes in excess of baseline levels, which may indicate an outbreak. We model the detection limits of a potential system based on primary care consults for the detection of an outbreak of severe acute respiratory syndrome (SARS).

MATERIALS AND METHODSData from an averaged-sized medical centre were extracted from the Patient Care Enhancement System (PACES) [the electronic medical records system serving the Singapore Armed Forces (SAF)]. Thresholds were set to 3 or more cases presenting with particular syndromes and a temperature reading of >or=38oC (T >or=38). Monte Carlo simulation was used to insert simulated SARS outbreaks of various sizes onto the background incidence of febrile cases, accounting for distribution of SARS incubation period, delay from onset to first consult, and likelihood of presenting with T >or=38 to the SAF medical centre.

RESULTSValid temperature data was available for 2,012 out of 2,305 eligible syndromic consults (87.2%). T >or=38 was observed in 166 consults (8.3%). Simulated outbreaks would peak 7 days after exposure, but, on average, signals at their peak would consist of 10.9% of entire outbreak size. Under baseline assumptions, the system has a higher than 90% chance of detecting an outbreak only with 20 or more cases.

CONCLUSIONSSurveillance based on clusters of cases with T >or=38 helps reduce background noise in primary care data, but the major limitation of such systems is that they are still only able to confidently detect large outbreaks.

Adult ; Body Temperature ; Cluster Analysis ; Communicable Diseases, Emerging ; epidemiology ; Computer Simulation ; Fever ; diagnosis ; Hospitals, Military ; utilization ; Humans ; Medical Records Systems, Computerized ; Middle Aged ; Military Medicine ; Military Personnel ; statistics & numerical data ; Monte Carlo Method ; Personnel, Hospital ; statistics & numerical data ; Primary Health Care ; statistics & numerical data ; Referral and Consultation ; statistics & numerical data ; Sentinel Surveillance ; Severe Acute Respiratory Syndrome ; diagnosis ; epidemiology ; Singapore ; epidemiology