TY  - GEN
N2  - Modern hospitals are increasingly complex entities comprising healthcare teams, working in parallel, to provide care for hospitalized patients. The team’s goal of providing 
excellent clinical care to patients is highly dependent upon each team member’s ability to communicate efficiently and effectively. Unfortunately, as teams and facilities grow in 
size and complexity, communication, which was once predominantly face-to-face, is increasingly complex and difficult. This project was conceived to build the foundation for future work in this domain, by 1) creating a robust and flexible data pipeline to clean and transform data from a secure text messaging database into network models which will enable 2) utilizing network-specific analysis to (a) identify the characteristics of the inpatient communication network, (b) understand key users and roles within the communication network, and (c) help understand vulnerable users and populations and the impact of emerging automated messaging systems on the communication network of a hospital system.
DO  - 10.6083/EA8V6P
DO  - DOI
AB  - Modern hospitals are increasingly complex entities comprising healthcare teams, working in parallel, to provide care for hospitalized patients. The team’s goal of providing 
excellent clinical care to patients is highly dependent upon each team member’s ability to communicate efficiently and effectively. Unfortunately, as teams and facilities grow in 
size and complexity, communication, which was once predominantly face-to-face, is increasingly complex and difficult. This project was conceived to build the foundation for future work in this domain, by 1) creating a robust and flexible data pipeline to clean and transform data from a secure text messaging database into network models which will enable 2) utilizing network-specific analysis to (a) identify the characteristics of the inpatient communication network, (b) understand key users and roles within the communication network, and (c) help understand vulnerable users and populations and the impact of emerging automated messaging systems on the communication network of a hospital system.
AD  - Oregon Health and Science University
T1  - Inpatient communication networks: leveraging secure text-messaging platforms to gain insight into inpatient communication systems
DA  - 2018
AU  - Hagedorn, Philip
L1  - https://digitalcollections.ohsu.edu/record/3133/files/4097_etd.pdf
PB  - Oregon Health and Science University
LA  - eng
PY  - 2018
ID  - 3133
L4  - https://digitalcollections.ohsu.edu/record/3133/files/4097_etd.pdf
KW  - Text Messaging
KW  - Inpatients
KW  - Patient Care Team
KW  - care quality
TI  - Inpatient communication networks: leveraging secure text-messaging platforms to gain insight into inpatient communication systems
Y1  - 2018
L2  - https://digitalcollections.ohsu.edu/record/3133/files/4097_etd.pdf
LK  - https://digitalcollections.ohsu.edu/record/3133/files/4097_etd.pdf
UR  - https://digitalcollections.ohsu.edu/record/3133/files/4097_etd.pdf
ER  -