TY  - THES
AB  - Timely and accurate documentation of medical information remains a formidable challenge in healthcare. This challenge has persisted despite rapid advances in computer technologies. This is largely due to the significant complexity of medical work. This complexity can be represented as an intricate web of collaboration, communication, and situational awareness. The work presented in this thesis explores one aspect of the challenge of medical documentation: medical orders. The project is a first step toward examining examination of the use of speech recognition technology for order entry. A computer script written in PERL was created and tested using a random sample of handwritten orders from several intensive care units at Oregon Health and Science University Hospital with the goal of categorizing the orders into logical groups.
AD  - Oregon Health and Science University
AU  - Fournier, Lara
DA  - 2001
DO  - 10.6083/M4JH3JG0
DO  - DOI
ED  - Ash, Joan
ED  - Stavri, Zoe
ED  - Mentor
ED  - Mentor
ID  - 2491
KW  - Intensive Care Units
KW  - Natural Language Processing
KW  - Medical Order Entry Systems
KW  - Speech
KW  - Medical Records
KW  - Software
KW  - Communication
KW  - Documentation
KW  - Practice Patterns, Physicians'
L1  - https://digitalcollections.ohsu.edu/record/2491/files/3232_etd.pdf
L2  - https://digitalcollections.ohsu.edu/record/2491/files/3232_etd.pdf
L4  - https://digitalcollections.ohsu.edu/record/2491/files/3232_etd.pdf
LK  - https://digitalcollections.ohsu.edu/record/2491/files/3232_etd.pdf
N2  - Timely and accurate documentation of medical information remains a formidable challenge in healthcare. This challenge has persisted despite rapid advances in computer technologies. This is largely due to the significant complexity of medical work. This complexity can be represented as an intricate web of collaboration, communication, and situational awareness. The work presented in this thesis explores one aspect of the challenge of medical documentation: medical orders. The project is a first step toward examining examination of the use of speech recognition technology for order entry. A computer script written in PERL was created and tested using a random sample of handwritten orders from several intensive care units at Oregon Health and Science University Hospital with the goal of categorizing the orders into logical groups.
PB  - Oregon Health and Science University
PY  - 2001
T1  - Towards a natural spoken language order-entry system for the ICU: developing a language model from handwritten physician orders
TI  - Towards a natural spoken language order-entry system for the ICU: developing a language model from handwritten physician orders
UR  - https://digitalcollections.ohsu.edu/record/2491/files/3232_etd.pdf
Y1  - 2001
ER  -