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156 records – page 1 of 16.

[4-year experiences with computer-assisted registration of postoperative wound infections and identification of risk factors].

https://arctichealth.org/en/permalink/ahliterature226352
Source
Ugeskr Laeger. 1991 May 13;153(20):1416-9
Publication Type
Article
Date
May-13-1991
Author
A. Bremmelgaard
A M Sørensen
E. Brems-Dalgaard
D. Raahave
J V Pedersen
Author Affiliation
Frederiksberg Hospital, klinisk mikrobiologisk afdeling.
Source
Ugeskr Laeger. 1991 May 13;153(20):1416-9
Date
May-13-1991
Language
Danish
Publication Type
Article
Keywords
Automatic Data Processing
Denmark - epidemiology
Female
Humans
Male
Registries - statistics & numerical data
Regression Analysis
Risk factors
Surgical Wound Infection - epidemiology - etiology
Abstract
A continuous record of postoperative surgical infections was carried out by electronic data processing of 9,181 orthopaedic and general operations. The overall infection rate was 5.7%, ranging from 2.0% (clean wounds) to 22.1% (dirty wounds). The corresponding deep infection rates were 1.7%, 0.4% and 5.4%, respectively. Employing a multiple logistic regression analysis, ten risk factors were evaluated. Factors found to be significant for both departments were: wound contamination, duration of operation and age. In addition, in the department of orthopaedic surgery: date of operation and surgeon, and in the department of general surgery: planning of operation, length of preoperative stay and anatomic groups. Sex had no influence on postoperative infection. Significant factors altered during the four years. Postoperative stay was, on an average, 13.9 days longer in infected patients.
PubMed ID
2028549 View in PubMed
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[Actual snapshot of medical statistics service in Russian Federation].

https://arctichealth.org/en/permalink/ahliterature168455
Source
Probl Sotsialnoi Gig Zdravookhranenniiai Istor Med. 2005 Nov-Dec;(6):26-8
Publication Type
Article
Author
E P Kakorina
E V Ogryzko
Source
Probl Sotsialnoi Gig Zdravookhranenniiai Istor Med. 2005 Nov-Dec;(6):26-8
Language
Russian
Publication Type
Article
Keywords
Automatic Data Processing
Epidemiology - standards
Humans
Russia
PubMed ID
16821311 View in PubMed
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Adoption of a demographic database for family studies of hereditary palmoplantar keratoderma type Gamborg Nielsen.

https://arctichealth.org/en/permalink/ahliterature35953
Source
Dermatology. 1994;188(3):194-9
Publication Type
Article
Date
1994
Author
P. Gamborg Nielsen
A. Brändström
Author Affiliation
Department of Dermatology, Varberg Hospital, Sweden.
Source
Dermatology. 1994;188(3):194-9
Date
1994
Language
English
Publication Type
Article
Keywords
Adolescent
Adult
Aged
Aged, 80 and over
Automatic Data Processing
Child
Child, Preschool
Databases, Factual
Demography
Female
Genes, Recessive
Humans
Keratoderma, Palmoplantar - epidemiology - genetics
Male
Middle Aged
Pedigree
Registries
Sweden - epidemiology
Abstract
In the northernmost county of Sweden (Norrbotten) two different clinical and genetic types of hereditary palmoplantar keratoderma have been reported: a common autosomal dominant form, corresponding to the descriptions performed by Unna and Thost, and an obviously autosomal recessive form, which clinically differed from other diffuse palmoplantar keratodermas, named the Gamborg Nielsen type. For further family studies and to support its probably recessive inheritance a demographic mapping of four families with this rare keratinization disorder was performed. It could be shown that these families belonged to the same family at different levels of generations; however, a common ancestor, who connected these families was not found. Marital distance of heterozygotes and birth places of probands were limited to an area, which is generally known to harbour different inherited disorders. According to a map of the origin of family members, it was shown that the major part originated from the same area and that the integration of family members had occurred in the same places. It was concluded that adoption of a demographic database for family studies in genetic research may contribute valuable information about family relations.
PubMed ID
8186507 View in PubMed
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Source
Ugeskr Laeger. 2003 Jul 28;165(31):3027-8; author reply 3028
Publication Type
Article
Date
Jul-28-2003

[Analysis of temporal relations between monthly morbidity levels by means of autocorrelation functions (based on models of epidemic parotitis and chickenpox)].

https://arctichealth.org/en/permalink/ahliterature253613
Source
Zh Mikrobiol Epidemiol Immunobiol. 1974 Apr;51(4):100-5
Publication Type
Article
Date
Apr-1974

[An EDP program for distribution of patients at a surgical department].

https://arctichealth.org/en/permalink/ahliterature229435
Source
Ugeskr Laeger. 1990 Mar 19;152(12):820-3
Publication Type
Article
Date
Mar-19-1990
Author
K. Larsen
J G Buus
Source
Ugeskr Laeger. 1990 Mar 19;152(12):820-3
Date
Mar-19-1990
Language
Danish
Publication Type
Article
Keywords
Automatic Data Processing
Bed Occupancy
Denmark
Hospital Departments - organization & administration
Humans
Patient Admission
Software
Surgery Department, Hospital - organization & administration
Waiting Lists
Abstract
A computer programme is described which can undertake automatic distribution of patients referred for elective surgery. The programme ensures coordinated reservation of operation and bed resources. The programme provides copies of admission and operation lists to the departments concerned and, similarly, it writes out distribution lists and summoning letters. The programme provides statistics for use in planning of resources and statistics with waiting lists according to diagnoses and the time of waiting. The programme is protected from illegal employment by unauthorized users as typing of the identity of the user and a personal code word are required. The programme fulfills the requirements to a register made by the supervision of registers concerning registers which contain very sensitive personal information.
PubMed ID
2316041 View in PubMed
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[An improvement in information support in the interests of the epidemiological health welfare of the troops].

https://arctichealth.org/en/permalink/ahliterature216762
Source
Voen Med Zh. 1994 Dec;(12):37-42, 80
Publication Type
Article
Date
Dec-1994
Author
I A Borisenko
Iu E Viazovichenko
V I Gudkov
Source
Voen Med Zh. 1994 Dec;(12):37-42, 80
Date
Dec-1994
Language
Russian
Publication Type
Article
Keywords
Automatic Data Processing - organization & administration - standards
Computer Systems
Epidemiology - organization & administration
Humans
Information Systems - organization & administration - standards
Military Hygiene - organization & administration
Russia
Abstract
The information acquisition, decision-making and control system must be the basic tool for optimizing the information procedures in the interests of sanitary-epidemiological welfare of troops. It's necessary to make a thorough revision of the existing account and record documentation in order to study its value. Each pattern of record cards must be scientifically substantiated depending on its effectiveness for further decision making. It's necessary to exclude all futile information. Record and account procedures must be automated and computerized throughout all chains of command beginning from a single military unit. Special systems must be developed for this matter. Realization of these goals will completely assure the monitoring of health status indices of servicemen and the environmental situation, as well as monitoring of risk factors influence upon the health of personnel.
PubMed ID
7900317 View in PubMed
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156 records – page 1 of 16.