Patient-Data Collection System Used During Medical Operations After the 1994 San Fernando Valley-Northridge Earthquake

1995 ◽  
Vol 10 (3) ◽  
pp. 178-183 ◽  
Author(s):  
Ralph B. (Monty) Leonard ◽  
Lew W. Stringer ◽  
Roy Alson

AbstractIntroduction:In large disasters, such as earthquakes and hurricanes, rapid, adequate and documented medical care and distribution of patients are essential.Methods:After a major (magnitude 6.7 Richter scale) earthquake occurred in Southern California, nine disaster medical assistance teams and two Veterans Administration (VA) buses with VA personnel responded to staff four medical stations, 19 disaster-assistance centers, and two mobile vans. All were under the supervision of the medical support unit (MSU) and its supervising officer. This article describes the patient-data collection system used. All facilities used the same patient encounter forms, log sheets, and medical treatment forms. Copies of these records accompanied the patients during every transfer. Centers for Disease Control and Prevention data classifications were used routinely. The MSU collected these forms twice each day so that all facilities had access to updated patient flow information.Results:Through the use of these methods, more than 11,000 victims were treated, transferred, and their cases tracked during a 12-day period.Conclusions:Use of this system by all federal responders to a major disaster area led to organized care for a large number of victims. Factors enhancing this care were the simplicity of the forms, the use of the forms by all federal responders, a central data collection point, and accessibility of the data at a known site available to all agencies every 12 hours.

2017 ◽  
Vol 8 (03) ◽  
pp. 166-174
Author(s):  
Imam Solikhin

Puskesmas Tugu Jaya is a government institution that serves the public health either having a small economy or the economy up. The Puskesmas in the patient's data collection system is still done through a manual process (through paper writing) then typed in a computer using Ms.Office). The process of data collection like this is less efficient because the process of repetition is done repeatedly so long time. The process of storing, searching and reporting patient data that often occurs difficult because employees have to look for in one place. Solutions to overcome these problems by proposing the design of patient data collection application at Tugu Jaya Community Health Center of OKI-based computerized. The design of this application can be developed so that the patient data collection system at Tugu Jaya Puskesmas OKI Regency is more efficient in its processing compared to the current manual system running today. In this pedesainan need an application development method (software) in the form of linear sequential model to finish the phases to produce a design that later can dikembangankan into computerized applications. Application development is expected to be able to perform pakanendan data processing pembutan report quickly, precisely, and accurately.


1976 ◽  
Vol 15 (01) ◽  
pp. 21-28 ◽  
Author(s):  
Carmen A. Scudiero ◽  
Ruth L. Wong

A free text data collection system has been developed at the University of Illinois utilizing single word, syntax free dictionary lookup to process data for retrieval. The source document for the system is the Surgical Pathology Request and Report form. To date 12,653 documents have been entered into the system.The free text data was used to create an IRS (Information Retrieval System) database. A program to interrogate this database has been developed to numerically coded operative procedures. A total of 16,519 procedures records were generated. One and nine tenths percent of the procedures could not be fitted into any procedures category; 6.1% could not be specifically coded, while 92% were coded into specific categories. A system of PL/1 programs has been developed to facilitate manual editing of these records, which can be performed in a reasonable length of time (1 week). This manual check reveals that these 92% were coded with precision = 0.931 and recall = 0.924. Correction of the readily correctable errors could improve these figures to precision = 0.977 and recall = 0.987. Syntax errors were relatively unimportant in the overall coding process, but did introduce significant error in some categories, such as when right-left-bilateral distinction was attempted.The coded file that has been constructed will be used as an input file to a gynecological disease/PAP smear correlation system. The outputs of this system will include retrospective information on the natural history of selected diseases and a patient log providing information to the clinician on patient follow-up.Thus a free text data collection system can be utilized to produce numerically coded files of reasonable accuracy. Further, these files can be used as a source of useful information both for the clinician and for the medical researcher.


Author(s):  
Mary Kay Gugerty ◽  
Dean Karlan

Monitoring data at the Ugandan Salama SHIELD Foundation revealed perfect repayment rates in its microfinance program. But rather than take these data at face value, a diligent program officer set out to determine if the data might be concealing other stories. In his efforts to investigate the truth behind the data, he made a number of decisions about what data to collect—and, importantly, what not to. But, as this case demonstrates, actionable data is only half the story; right-fit resources and systems are necessary to turn data into action. Readers will think critically about what data are necessary to answer key operational questions and will design data collection instruments to deliver these data. They will also consider ways of applying the CART principles to strengthen the data collection system and determine where the organization should focus its monitoring efforts.


Author(s):  
Arturo Marroquin Rivera ◽  
Juan Camilo Rosas-Romero ◽  
Sergio Mario Castro ◽  
Fernando Suárez-Obando ◽  
Jeny Aguilera-Cruz ◽  
...  

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