TY - GEN
T1 - Application of Process Mining for Tuberculosis Testing Process
AU - Saralaya, Vishwas
AU - Saralaya, Sridevi
AU - Kotian, Lahari
AU - Miranda, Aquilla
AU - Bekal, Isha
AU - Jyothi, Y.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The advent of Information technology has had a huge impact on interpretation of the vast knowledge of information available in the health care sector. The vast amount of data generated in this area needs to be appropriately stowed (cached) in order to conduct automated analysis. A huge amount of research data exists in varied areas of health care sector such as extraction and analysis of scanned images, implications of results of various investigations and the treatment process. One related area which lacks significant research is the laboratory testing process to diagnose any illness, which is a prime step to initiate and provide apt treatment. One such disease which has been the cause of considerable morbidity and mortality worldwide is Tuberculosis (TB). Our objective was to study the applicability of process mining to extract the trajectories of diagnostic tests performed for the conformance of Tuberculosis (TB) and to verify time conformance of such tests conducted with that as specified by regulatory bodies.
AB - The advent of Information technology has had a huge impact on interpretation of the vast knowledge of information available in the health care sector. The vast amount of data generated in this area needs to be appropriately stowed (cached) in order to conduct automated analysis. A huge amount of research data exists in varied areas of health care sector such as extraction and analysis of scanned images, implications of results of various investigations and the treatment process. One related area which lacks significant research is the laboratory testing process to diagnose any illness, which is a prime step to initiate and provide apt treatment. One such disease which has been the cause of considerable morbidity and mortality worldwide is Tuberculosis (TB). Our objective was to study the applicability of process mining to extract the trajectories of diagnostic tests performed for the conformance of Tuberculosis (TB) and to verify time conformance of such tests conducted with that as specified by regulatory bodies.
UR - http://www.scopus.com/inward/record.url?scp=85135630489&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85135630489&partnerID=8YFLogxK
U2 - 10.1109/I2CT54291.2022.9824769
DO - 10.1109/I2CT54291.2022.9824769
M3 - Conference contribution
AN - SCOPUS:85135630489
T3 - 2022 IEEE 7th International conference for Convergence in Technology, I2CT 2022
BT - 2022 IEEE 7th International conference for Convergence in Technology, I2CT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE International conference for Convergence in Technology, I2CT 2022
Y2 - 7 April 2022 through 9 April 2022
ER -
