Implementing a Scientifically Valid, Cost-Effective, and Scalable Data Collection System at Point of Care

2019 ◽  
Vol 101 (5) ◽  
pp. 458-464 ◽  
Author(s):  
Nicolas S. Piuzzi ◽  
Greg Strnad ◽  
Peter Brooks ◽  
Carolyn M. Hettrich ◽  
Carlos Higuera-Rueda ◽  
...  
Keyword(s):  
Data Collection ◽  
Point Of Care ◽  
Cost Effective ◽  
Collection System ◽  
Data Collection System

A point of care electronic stroke data collection system

2013 ◽  
Vol 19 (1) ◽  
pp. 10-15
Author(s):  
Elizabeth Teale ◽  
John Young ◽  
Ian Sleigh
Keyword(s):  
Data Collection ◽  
Point Of Care ◽  
Collection System ◽  
Data Collection System

A Numerically Coded File of Operative Procedures Derived from a Free Text Data Collection System : A Measure of the Accuracy

1976 ◽  
Vol 15 (01) ◽  
pp. 21-28 ◽  
Author(s):  
Carmen A. Scudiero ◽  
Ruth L. Wong
Keyword(s):  
Data Collection ◽  
Pap Smear ◽  
Operative Procedures ◽  
Free Text ◽  
Collection System ◽  
Process Data ◽  
Text Data ◽  
Data Collection System ◽  
History Of ◽  
Correlation System

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.

Salama SHIELD Foundation

2018 ◽  
Author(s):  
Mary Kay Gugerty ◽  
Dean Karlan
Keyword(s):  
Data Collection ◽  
Monitoring Data ◽  
Collection System ◽  
Design Data ◽  
Data Collection System ◽  
Program Officer

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.

Implementing a Redcap-based research data collection system for mental health

2021 ◽  
Author(s):  
Arturo Marroquin Rivera ◽  
Juan Camilo Rosas-Romero ◽  
Sergio Mario Castro ◽  
Fernando Suárez-Obando ◽  
Jeny Aguilera-Cruz ◽  
...  
Keyword(s):  
Mental Health ◽  
Data Collection ◽  
Research Data ◽  
Collection System ◽  
Data Collection System
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