TY - JOUR
T1 - Integrated IT platform for coordination of diagnosis, treatment, and aftercare of prosthetic joint infections
AU - Suren, Christian
AU - Feihl, Susanne
AU - Querbach, Christiane
AU - Rämer, Patrick
AU - Pohlig, Florian
AU - Thurner, Jakob
AU - Bernard, Rudolf
AU - Busch, Dirk
AU - Von Eisenhart-Rothe, Rüdiger
AU - Mühlhofer, Heinrich Maria Laurentius
N1 - Publisher Copyright:
© 2019 International Institute of Anticancer Research. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Background/Aim: Prosthetic joint infections (PJI) are difficult to diagnose and treat. For a correct diagnosis, an array of information has to be processed and weighted. Successful treatment depends on the diagnosis, timing, and surgical strategy paired with treatment of the infectious agent. The complexity and interdisciplinarity needed cause difficulties concerning decision-making, the communication between disciplines, and the execution of a treatment strategy. The aim of this study was to develop a software platform to enhance the collection of information for the diagnosis of PJI, the interdisciplinary decision-making process, the communication between team members, and continuous evaluation of treatment. Patients and Methods: In regular planning sessions with an information technology (IT) specialist, a concept for an IT solution was chosen and the tool was designed in an interdisciplinary approach. Results: The tool has been used as a trial version since June 2017. It consists of 14 user interfaces with 431 items. A total of 117 patients with 118 infections have been entered and the strategy decided upon and communicated using 298 infection board documents outlining the treatment. The tool is now being used to organize the infections board agenda, schedule patient case discussions, document the relevant data and treatment plan, as well as communicate with the other teams involved in the treatment. Conclusion: Using the developed tool enables the infections team to work collaboratively and under division of labor on each case, rendering the work flow more efficient for each team member.
AB - Background/Aim: Prosthetic joint infections (PJI) are difficult to diagnose and treat. For a correct diagnosis, an array of information has to be processed and weighted. Successful treatment depends on the diagnosis, timing, and surgical strategy paired with treatment of the infectious agent. The complexity and interdisciplinarity needed cause difficulties concerning decision-making, the communication between disciplines, and the execution of a treatment strategy. The aim of this study was to develop a software platform to enhance the collection of information for the diagnosis of PJI, the interdisciplinary decision-making process, the communication between team members, and continuous evaluation of treatment. Patients and Methods: In regular planning sessions with an information technology (IT) specialist, a concept for an IT solution was chosen and the tool was designed in an interdisciplinary approach. Results: The tool has been used as a trial version since June 2017. It consists of 14 user interfaces with 431 items. A total of 117 patients with 118 infections have been entered and the strategy decided upon and communicated using 298 infection board documents outlining the treatment. The tool is now being used to organize the infections board agenda, schedule patient case discussions, document the relevant data and treatment plan, as well as communicate with the other teams involved in the treatment. Conclusion: Using the developed tool enables the infections team to work collaboratively and under division of labor on each case, rendering the work flow more efficient for each team member.
KW - Antibiotic stewardship
KW - Infection board
KW - Interdisciplinary
KW - PJI
KW - Prosthetic joint infections
UR - http://www.scopus.com/inward/record.url?scp=85071767507&partnerID=8YFLogxK
U2 - 10.21873/invivo.11647
DO - 10.21873/invivo.11647
M3 - Article
C2 - 31471415
AN - SCOPUS:85071767507
SN - 0258-851X
VL - 33
SP - 1625
EP - 1633
JO - In Vivo
JF - In Vivo
IS - 5
ER -