TY - GEN
T1 - Configuration Systems Applied to the Healthcare Sector for an Enhanced Prescription Process
AU - Campo Gay, Irene
AU - Hvam, Lars
PY - 2022
Y1 - 2022
N2 - The implementation of enhanced clinical decision support systems promises a significant improvement in healthcare quality. Research, encompassing both literature review and health professionals’ assessments, has underpinned the urgency of an improved prescription process. A configuration system could support a novel proactive, standardized, and efficient decision-making process of the physician during the drugs prescription process and, consequently, reduce the associated mortality, morbidity, and health cost rates of medication errors. The practicality of using configurators to support the drugs’ prescription to prevent adverse drug events is evaluated through a feasibility study and validated by successfully developing a configurator prototype for a Danish hospital department. The medicines’ attributes and patient conditions are mapped through an adapted version of the so-called product variant master and detailed on the named class-responsibility-collaboration cards, generally used for modeling mechanical products.
AB - The implementation of enhanced clinical decision support systems promises a significant improvement in healthcare quality. Research, encompassing both literature review and health professionals’ assessments, has underpinned the urgency of an improved prescription process. A configuration system could support a novel proactive, standardized, and efficient decision-making process of the physician during the drugs prescription process and, consequently, reduce the associated mortality, morbidity, and health cost rates of medication errors. The practicality of using configurators to support the drugs’ prescription to prevent adverse drug events is evaluated through a feasibility study and validated by successfully developing a configurator prototype for a Danish hospital department. The medicines’ attributes and patient conditions are mapped through an adapted version of the so-called product variant master and detailed on the named class-responsibility-collaboration cards, generally used for modeling mechanical products.
KW - Adverse drug events
KW - Clinical decision support system
KW - Configuration system
KW - Medication errors
KW - Prescribing process
U2 - 10.1007/978-3-030-90700-6_94
DO - 10.1007/978-3-030-90700-6_94
M3 - Article in proceedings
T3 - Lecture Notes in Mechanical Engineering
SP - 827
EP - 834
BT - Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems
PB - Springer
ER -