Nurses' Data Work as an Entry Point for Exploring how Bias is Considered in Practice
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Nurses' Data Work as an Entry Point for Exploring how Bias is Considered in Practice. / Milbak, Tina Westergaard.
DIS '24 Companion: Companion Publication of the 2024 ACM Designing Interactive Systems Conference. Vol. Association for Computing Machinery 2024. p. 62-66.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research
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TY - GEN
T1 - Nurses' Data Work as an Entry Point for Exploring how Bias is Considered in Practice
AU - Milbak, Tina Westergaard
PY - 2024
Y1 - 2024
N2 - This paper investigates what characterises nurses’ data work, documentation practices and coordination in care work. The study acts as an entry point for qualitatively exploring how nurses deal with and navigate bias in practice. What is critical data and documentation from nurses’ perspective as part of caring for their patients and how do they consider bias? These questions are investigated ethnographically (67h of observations) in two Danish hospital wards that use a Data-driven Electronic Health Records (EHR) for nurses’ documentation. Emerging data-driven EHRs work as platforms allowing for data extraction as well as easier access to merging data streams. A particular concern about data extraction is bias, which can enter EHRs through nurses’ documentation. The study finds that nurses deal with bias as a matter of how they report data that are related to sensitive information about patients, such as culture or social status. This suggests a dilemma of importance for the design of EHRs when data work becomes policy.
AB - This paper investigates what characterises nurses’ data work, documentation practices and coordination in care work. The study acts as an entry point for qualitatively exploring how nurses deal with and navigate bias in practice. What is critical data and documentation from nurses’ perspective as part of caring for their patients and how do they consider bias? These questions are investigated ethnographically (67h of observations) in two Danish hospital wards that use a Data-driven Electronic Health Records (EHR) for nurses’ documentation. Emerging data-driven EHRs work as platforms allowing for data extraction as well as easier access to merging data streams. A particular concern about data extraction is bias, which can enter EHRs through nurses’ documentation. The study finds that nurses deal with bias as a matter of how they report data that are related to sensitive information about patients, such as culture or social status. This suggests a dilemma of importance for the design of EHRs when data work becomes policy.
U2 - 10.1145/3656156.3665129
DO - 10.1145/3656156.3665129
M3 - Article in proceedings
VL - Association for Computing Machinery
SP - 62
EP - 66
BT - DIS '24 Companion
Y2 - 1 July 2024 through 5 July 2024
ER -
ID: 404314802