TY  - JOUR
A1  - Adnan, Hassan Sami
A1  - Matthews, Sam
A1  - Hackl, M.
A1  - Das, P. P.
A1  - Manaswini, Manisha
A1  - Gadamsetti, S.
A1  - Filali, Maroua
A1  - Owoyele, Babajide
A1  - Santuber, Joaquín
A1  - Edelman, Jonathan
T1  - Human centered AI design for clinical monitoring and data management
JF  - European journal of public health : official journal of the European Health Association
N2  - In clinical settings, significant resources are spent on data collection and monitoring patients' health parameters to improve decision-making and provide better care. With increased digitization, the healthcare sector is shifting towards implementing digital technologies for data management and in administration. New technologies offer better treatment opportunities and streamline clinical workflow, but the complexity can cause ineffectiveness, frustration, and errors. To address this, we believe digital solutions alone are not sufficient. Therefore, we take a human-centred design approach for AI development, and apply systems engineering methods to identify system leverage points. We demonstrate how automation enables monitoring clinical parameters, using existing non-intrusive sensor technology, resulting in more resources toward patient care. Furthermore, we provide a framework on digitization of clinical data for integration with data management.
Y1  - 2020
U6  - https://doi.org/10.1093/eurpub/ckaa165.225
SN  - 1101-1262
SN  - 1464-360X
VL  - 30
IS  - 5
SP  - V86
EP  - V86
PB  - Oxford Univ. Press
CY  - Oxford
ER  -