TY - GEN
T1 - DCollective
T2 - 15th International Joint Conference on Computer Science and Software Engineering, JCSSE 2018
AU - Eiamboonsert, Pawarate
AU - Taongern, Sanhawat
AU - Nuamsiri, Wassmon
AU - Pengsart, Pagaporn
AU - Mongkolwat, Pattanasak
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/6
Y1 - 2018/9/6
N2 - Collecting effective healthcare survey data requires a novel approach differed from traditional paper-based methods where manual electronic data entry would be required. Inaccuracy and mistakes can occur at any points from gathering, transporting to entering collected data into a computer. dCollective is a cloudbased software application designed to assist healthcare workers to design customized online survey forms for interviewers, patients and caretakers. The workers create, manage and assign electronic forms to their target groups. Survey forms can be logically stored and retrieved based on various variables such as patient's age, gender, medical state and clinical status. In addition to typical data gathering from paper forms, a dCollective form may include geolocation along with picture, audio and video. Data from each form is extracted to construct longitudinal information pertaining to each patient. This information will be used alongside respected patient's medical record to create visual representations and statistical reports for each patient or a group of patients based on a set of search criteria.
AB - Collecting effective healthcare survey data requires a novel approach differed from traditional paper-based methods where manual electronic data entry would be required. Inaccuracy and mistakes can occur at any points from gathering, transporting to entering collected data into a computer. dCollective is a cloudbased software application designed to assist healthcare workers to design customized online survey forms for interviewers, patients and caretakers. The workers create, manage and assign electronic forms to their target groups. Survey forms can be logically stored and retrieved based on various variables such as patient's age, gender, medical state and clinical status. In addition to typical data gathering from paper forms, a dCollective form may include geolocation along with picture, audio and video. Data from each form is extracted to construct longitudinal information pertaining to each patient. This information will be used alongside respected patient's medical record to create visual representations and statistical reports for each patient or a group of patients based on a set of search criteria.
KW - Electronic survey form
KW - Geolocation
KW - Healthcare web application
KW - Patient information
KW - Visualization and Statistics
UR - https://www.scopus.com/pages/publications/85057769211
U2 - 10.1109/JCSSE.2018.8457327
DO - 10.1109/JCSSE.2018.8457327
M3 - Conference contribution
AN - SCOPUS:85057769211
T3 - Proceeding of 2018 15th International Joint Conference on Computer Science and Software Engineering, JCSSE 2018
BT - Proceeding of 2018 15th International Joint Conference on Computer Science and Software Engineering, JCSSE 2018
A2 - Sawangphol, Wudhichart
A2 - Mitrpanont, Jarernsri
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 11 July 2018 through 13 July 2018
ER -