PMID- 31682267
OWN - NLM
STAT- MEDLINE
DCOM- 20210308
LR  - 20230919
IS  - 1527-974X (Electronic)
IS  - 1067-5027 (Print)
IS  - 1067-5027 (Linking)
VI  - 27
IP  - 2
DP  - 2020 Feb 1
TI  - Characterizing communication patterns among members of the clinical care team to 
      deliver breast cancer treatment.
PG  - 236-243
LID - 10.1093/jamia/ocz151 [doi]
AB  - OBJECTIVE: Research to date focused on quantifying team collaboration has relied 
      on identifying shared patients but does not incorporate the major role of 
      communication patterns. The goal of this study was to describe the patterns and 
      volume of communication among care team members involved in treating breast 
      cancer patients. MATERIALS AND METHODS: We analyzed 4 years of communications 
      data from the electronic health record between care team members at Vanderbilt 
      University Medical Center (VUMC). Our cohort of patients diagnosed with breast 
      cancer was identified using the VUMC tumor registry. We classified each care team 
      member participating in electronic messaging by their institutional role and 
      classified physicians by specialty. To identify collaborative patterns, we 
      modeled the data as a social network. RESULTS: Our cohort of 1181 patients was 
      the subject of 322 424 messages sent in 104 210 unique communication threads by 
      5620 employees. On average, each patient was the subject of 88.2 message threads 
      involving 106.4 employees. Each employee, on average, sent 72.9 messages and was 
      connected to 24.6 collaborators. Nurses and physicians were involved in 98% and 
      44% of all message threads, respectively. DISCUSSION AND CONCLUSION: Our results 
      suggest that many providers in our study may experience a high volume of 
      messaging work. By using data routinely generated through interaction with the 
      electronic health record, we can begin to evaluate how to iteratively implement 
      and assess initiatives to improve the efficiency of care coordination and reduce 
      unnecessary messaging work across all care team roles.
CI  - (c) The Author(s) 2019. Published by Oxford University Press on behalf of the 
      American Medical Informatics Association. All rights reserved. For permissions, 
      please email: journals.permissions@oup.com.
FAU - Steitz, Bryan D
AU  - Steitz BD
AD  - Department of Biomedical Informatics, Vanderbilt University Medical Center, 
      Nashville, Tennessee, USA.
FAU - Unertl, Kim M
AU  - Unertl KM
AD  - Department of Biomedical Informatics, Vanderbilt University Medical Center, 
      Nashville, Tennessee, USA.
FAU - Levy, Mia A
AU  - Levy MA
AD  - Department of Biomedical Informatics, Vanderbilt University Medical Center, 
      Nashville, Tennessee, USA.
AD  - Department of Internal Medicine, Rush University Medical Center, Chicago, 
      Illinois, USA.
LA  - eng
GR  - T15 LM007450/LM/NLM NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PL  - England
TA  - J Am Med Inform Assoc
JT  - Journal of the American Medical Informatics Association : JAMIA
JID - 9430800
SB  - IM
MH  - *Breast Neoplasms/therapy
MH  - Burnout, Professional
MH  - *Communication
MH  - Cooperative Behavior
MH  - *Electronic Health Records
MH  - Humans
MH  - Interprofessional Relations
MH  - Online Social Networking
MH  - *Patient Care Team
PMC - PMC7647266
OTO - NOTNLM
OT  - breast cancer
OT  - burnout
OT  - collaboration
OT  - social networking
OT  - workflow
EDAT- 2019/11/05 06:00
MHDA- 2021/03/09 06:00
PMCR- 2020/11/04
CRDT- 2019/11/05 06:00
PHST- 2019/03/15 00:00 [received]
PHST- 2019/07/19 00:00 [revised]
PHST- 2019/07/31 00:00 [accepted]
PHST- 2019/11/05 06:00 [pubmed]
PHST- 2021/03/09 06:00 [medline]
PHST- 2019/11/05 06:00 [entrez]
PHST- 2020/11/04 00:00 [pmc-release]
AID - 5612170 [pii]
AID - ocz151 [pii]
AID - 10.1093/jamia/ocz151 [doi]
PST - ppublish
SO  - J Am Med Inform Assoc. 2020 Feb 1;27(2):236-243. doi: 10.1093/jamia/ocz151.