A Design of Pulse-Wave Data Collection System

2011 ◽  
Vol 127 ◽  
pp. 48-52
Author(s):  
Xiao Hui Zhang ◽  
Xi Ling Zhao
Keyword(s):  
Blood Flow ◽  
Data Collection ◽  
Oxygen Sensor ◽  
Pulse Wave ◽  
Clinical Care ◽  
Collection System ◽  
Data Collection System ◽  
Wave Signal ◽  
Flow Monitoring ◽  
Wave Data

In this paper, a newly design of pulse-wave data collection system continuously and non-invasion by using the means of clip-on transmission oxygen sensor for getting information of pulse-wave, using the wave can calculate a number of important parameters of blood, it may solve the problem of real-time, continuous and dynamic blood flow monitoring in clinic, This design use sensor to get photoelectric volume pulse wave then the signal through amplification and filter circuit ,after then it is sent to A / D converter and DSP. The powerful instruction functions and fast processing speed DSP makes this design can quickly and easily detect the pulse wave signal. This design not only used for clinical care, but also can be used for community or family health care on detection of cardiovascular blood flow. This design can make the telemedicine care ture by DSP and the PC communication, It provides a simple and easy method to monitor the pulse-wave signal .

scholarly journals Quality Improvement in Juvenile Idiopathic Arthritis: a Mixed-methods Implementation Pilot of the CAPTURE-JIA Dataset

2022 ◽  
Author(s):  
Flora Mcerlane ◽  
Chris Anderson ◽  
Saskia Lawson-Tovey ◽  
Barbara Lee ◽  
Chris Lee ◽  
...  
Keyword(s):  
Juvenile Idiopathic Arthritis ◽  
Quality Improvement ◽  
Mixed Methods ◽  
Data Collection ◽  
Clinical Care ◽  
Data Collection Tool ◽  
Collection System ◽  
Electronic Data ◽  
Data Collection System ◽  
Electronic Data Collection

Abstract BackgroundA significant proportion of children and young people with juvenile idiopathic arthritis (JIA) do not achieve inactive disease during the first two years following diagnosis. Refinements to clinical care pathways have the potential to improve clinical outcomes but a lack of consistent and contemporaneous clinical data presently precludes standard setting and implementation of meaningful quality improvement programmes. This study was the first to pilot clinical data collection and analysis using the CAPTURE-JIA dataset, and to explore patient and clinician-reported feasibility and acceptability data.MethodsA multiphase mixed-methods approach enabled prospective collection of quantitative data to examine the feasibility and efficacy of dataset collection and of qualitative data informing the context and processes of implementation. An initial paper pilot informed the design of a bespoke electronic data collection system (the Agileware system), with a subsequent electronic pilot informing the final CAPTURE-JIA data collection tool. ResultsPaper collection of patient data was feasible but time-consuming in the clinical setting. Phase 1 paper pilot data (121 patients) identified three themes: problematic data items (14/62 data items received >40% missing data), formatting of data collection forms and a clinician-highlighted need for digital data collection, informing Phase 2 electronic data collection tool development. Patients and families were universally supportive of the collection and analysis of anonymised patient data to inform clinical care. No apparent preference for paper / electronic data collection was reported by families. Phase 3 electronic pilot data (38 patients) appeared complete and the system reported to be easy to use. Analysis of the study dataset and a dummy longitudinal dataset confirmed that all eleven JIA national audit questions can be answered using the electronic system. ConclusionsMulticentre CAPTURE-JIA data collection is feasible and acceptable, with a bespoke data collection system highlighted as the most satisfactory solution. The study is informing ongoing work towards a streamlined and flexible national paediatric data collection system to drive quality improvement in clinical care.

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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