1.The current situation of clinical laboratory automation and its exploration on a preferred scheme.
Dong YANG ; Miao-Fang LIU ; Ping-Jian HUANG
Chinese Journal of Medical Instrumentation 2005;29(2):120-123
This paper is to introduce the conception, basic constitution and working flow of laboratory automatic systems, and the domestic and world developments of the laboratory pipelining systems. It analyses the problems and the preferred scheme which should be given careful consideration when a system is to be built in the hospital.
Automation
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Clinical Laboratory Information Systems
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Clinical Laboratory Techniques
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instrumentation
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Computer Systems
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Laboratories, Hospital
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standards
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Software
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Specimen Handling
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instrumentation
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methods
2.Research and development of a clinical laboratory information system.
Da-gan YANG ; Gen-yun XU ; Yang-jun ZHU
Chinese Journal of Medical Instrumentation 2005;29(1):23-26
A clinical laboratory information system consists of two parts--the information system and the management system. Its development is based on scientific and rational lab-workflow, consulting the international standard HL7 Protocol, and combined with barcode technique and instrument communication. The information system mainly manages the data which come from the whole lab testing process while the management system is dominating the lab office work and management decisions.
Automatic Data Processing
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Clinical Laboratory Information Systems
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standards
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Computer Communication Networks
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Databases as Topic
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Management Information Systems
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Software Design
3.Development and Evaluation of a Laboratory Information System-Based Auto-Dilution and Manual Dilution Algorithm for Alpha-Fetoprotein Assay.
Tae Dong JEONG ; So Young KIM ; Woochang LEE ; Sail CHUN ; Won Ki MIN
Annals of Laboratory Medicine 2013;33(5):390-392
No abstract available.
*Algorithms
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Automation
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Clinical Laboratory Information Systems/*standards
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Humans
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Immunoassay/*methods
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Indicator Dilution Techniques
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alpha-Fetoproteins/*analysis
4.Research on Zhejiang blood information network and management system.
Li-Xing YAN ; Yan XU ; Zhong-Hua MENG ; Chang-Hong KONG ; Jian-Min WANG ; Zhen-Liang JIN ; Shi-Ding WU ; Chang-Shui CHEN ; Ling-Fei LUO
Journal of Experimental Hematology 2007;15(1):184-187
This research was aimed to develop the first level blood information centralized database and real time communication network at a province area in China. Multiple technology like local area network database separate operation, real time data concentration and distribution mechanism, allopatric backup, and optical fiber virtual private network (VPN) were used. As a result, the blood information centralized database and management system were successfully constructed, which covers all the Zhejiang province, and the real time exchange of blood data was realised. In conclusion, its implementation promote volunteer blood donation and ensure the blood safety in Zhejiang, especially strengthen the quick response to public health emergency. This project lays the first stone of centralized test and allotment among blood banks in Zhejiang, and can serve as a reference of contemporary blood bank information systems in China.
Blood Transfusion
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instrumentation
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methods
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standards
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China
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Clinical Laboratory Information Systems
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Computer Communication Networks
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Databases, Factual
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standards
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Humans
5.Standardization of Terminology in Laboratory Medicine ll.
Kap No LEE ; Jong Hyun YOON ; Won Ki MIN ; Hwan Sub LIM ; Junghan SONG ; Seok Lae CHAE ; Seongsoo JANG ; Chang Seok KI ; Sook Young BAE ; Jang Su KIM ; Jung Ah KWON ; Chang Kyu LEE ; Soo Young YOON
Journal of Korean Medical Science 2008;23(4):711-713
Standardization of medical terminology is essential in data transmission between health care institutes and in maximizing the benefits of information technology. The purpose of this study was to standardize medical terms for laboratory observations. During the second year of the study, a standard database of concept names for laboratory terms that covered those used in tertiary health care institutes and reference laboratories was developed. The laboratory terms in the Logical Observation Identifier Names and Codes (LOINC) database were adopted and matched with the electronic data interchange (EDI) codes in Korea. A public hearing and a workshop for clinical pathologists were held to collect the opinions of experts. The Korean standard laboratory terminology database containing six axial concept names, components, property, time aspect, system (specimen), scale type, and method type, was established for 29,340 test observations. Short names and mapping tables for EDI codes and UMLS were added. Synonym tables were prepared to help match concept names to common terms used in the fields. We herein described the Korean standard laboratory terminology database for test names, result description terms, and result units encompassing most of the laboratory tests in Korea.
Clinical Laboratory Information Systems/*standards
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Humans
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Laboratory Techniques and Procedures/*standards
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*Logical Observation Identifiers Names and Codes
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Terminology as Topic
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*Unified Medical Language System
6.Differential application of rate and delta check on selected clinical chemistry tests.
Jong Won KIM ; Jin Q KIM ; Sang In KIM
Journal of Korean Medical Science 1990;5(4):189-195
Through the present delta value check used in quality control programs is a powerful tool for detecting random errors in clinical chemistry analysis, it has some problems, such as missed true errors and delays in reporting time, because it also has the potential of showing erroneous positive results. Recently, new calculation methods for delta check with delta difference, delta percent change, rate difference, and rate percent change have been suggested by Lacher and Connelly (Clin Chem 34:1966-1970, 1988). Based on this new delta check method, we made the new criteria of which calculation method is applied to the clinical chemistry tests, i.e., the differential application of rate and delta check, and selectively applied the new method to 17 chemistry tests in order to solve the above problems. The applied criteria were the time dependence of the test item and the coefficient of variation of the absolute delta difference. Calcium, inorganic phosphorus, total protein, albumin, sodium, potassium, and chloride were classified as delta difference calculation method group; glucose and cholesterol as delta percent change group; creatinine, total and direct bilirubin as rate difference group; and urea nitrogen, uric acid, ALP, ALT, and AST as rate percent change group. With the previous criteria by Whitehurst et al. (Clin Chem 221:87-92) for 5045 specimens, the check-out rate was 47.8% (2,411 out of 5,045), and the positive predictive value was 0.41% (10 out of 2,411). For the new criteria, the check-out rate was 12.7% (621 out of 5,045), and the positive predictive value was 1.8% (nine out of 621).(ABSTRACT TRUNCATED AT 250 WORDS)
Albumins/analysis
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Bilirubin/analysis
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Calcium/analysis
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Chemistry, Clinical/methods/*standards
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Clinical Laboratory Information Systems/*standards
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Creatine/analysis
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Glucose/analysis
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Phosphorus/analysis
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Quality Control
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Reference Values
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*Sensitivity and Specificity
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Specimen Handling
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Urea/analysis
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Work Simplification