TY - GEN
T1 - MEDIC - MobilE diagnosis for improved care
AU - McLoughlin, Eoin
AU - O'Sullivan, Dympna
AU - Bertolotto, Michela
AU - Wilson, David C.
PY - 2006
Y1 - 2006
N2 - Hospitals everywhere are taking advantage of the flexibility and speed of wireless computing to improve the quality and reduce the cost of healthcare. Caregivers equipped with mobile computers now have levels of interaction at the bedside not possible with traditional paper charts, and they can access accurate real-time information (patient records, medication and medical imagery) at the point-of-care to make decisions, diagnose and treat patients with greater speed and efficiency. Greater and more immediate information access, however, is giving rise to challenges in how to effectively select and present the most relevant aspects for given patient care tasks, as well as how to take advantage of the collaborative opportunities afforded by medical community connection. We propose a system that enables doctors to efficiently query, analyse and annotate patient information, in particular medical imagery, using current mobile technologies. The system allows entire profiles with known diagnoses to be retrieved and can be used to compare diagnosis and treatments for patients with similar symptoms or care records. The application can be employed by caregivers either working in the hospital setting or working remotely and off-site as well as a useful tool to facilitate education and training of medical staff.
AB - Hospitals everywhere are taking advantage of the flexibility and speed of wireless computing to improve the quality and reduce the cost of healthcare. Caregivers equipped with mobile computers now have levels of interaction at the bedside not possible with traditional paper charts, and they can access accurate real-time information (patient records, medication and medical imagery) at the point-of-care to make decisions, diagnose and treat patients with greater speed and efficiency. Greater and more immediate information access, however, is giving rise to challenges in how to effectively select and present the most relevant aspects for given patient care tasks, as well as how to take advantage of the collaborative opportunities afforded by medical community connection. We propose a system that enables doctors to efficiently query, analyse and annotate patient information, in particular medical imagery, using current mobile technologies. The system allows entire profiles with known diagnoses to be retrieved and can be used to compare diagnosis and treatments for patients with similar symptoms or care records. The application can be employed by caregivers either working in the hospital setting or working remotely and off-site as well as a useful tool to facilitate education and training of medical staff.
UR - https://www.scopus.com/pages/publications/33746040054
M3 - Conference contribution
AN - SCOPUS:33746040054
SN - 1595931082
SN - 9781595931085
T3 - Proceedings of the ACM Symposium on Applied Computing
SP - 204
EP - 208
BT - Applied Computing 2006 - The 21st Annual ACM Symposium on Applied Computing - Proceedings of the 2006 ACM Symposium on Applied Computing
T2 - 2006 ACM Symposium on Applied Computing
Y2 - 23 April 2006 through 27 April 2006
ER -