TY - GEN
T1 - The status quo of rare diseases centres for the development of a clinical decision support system - A cross-sectional study
AU - Schaaf, Jannik
AU - Sedlmayr, Martin
AU - Prokosch, Hans Ulrich
AU - Ganslandt, Thomas
AU - Schade-Brittinger, Carmen
AU - Wagner, Michael Von
AU - Kadioglu, Dennis
AU - Schubert, Katharina
AU - Lee-Kirsch, Min Ae
AU - Kraemer, Bernhard K.
AU - Winner, Beate
AU - Mueller, Tobias
AU - Schaefer, Juergen R.
AU - Wagner, Thomas O.F.
AU - Bruckner-Tuderman, Leena
AU - Tuescher, Oliver
AU - Boeker, Martin
AU - Storf, Holger
N1 - Publisher Copyright:
© 2020 The authors, AIT Austrian Institute of Technology and IOS Press.
PY - 2020/6/23
Y1 - 2020/6/23
N2 - Clinical decision support systems (CDSS) help to improve the diagnostics and treatment of rare diseases (RD). As one of four funded consortia of the Medical Informatics Initiative supported by the Federal Ministry of Education and Research (BMBF, Germany), MIRACUM develops a clinical decision support system (CDSS) for RD based on distributed data of ten university hospitals. The CDSS will be developed at the Rare Diseases Centres (RDC) of the MIRACUM consortium. Since it is essential to deliver decision support at the right time and place in the clinician's workflow, this study aimed to capture relevant information of the RDCs regarding patient admission and diagnostic process. Additionally, we investigated how patient documentation and digitalisation is performed at the centres. Therefore, we conducted a cross-sectional survey involving experts in the RDs domain to capture relevant information for the further development of a CDSS in RD. For each centre, one expert on RDs participated in the study (n=8). The survey identified several challenges regarding the reuse of patient data, e.g. the paper-based documentation of a patient's medical history and coding of diagnoses using ICD-10. However, we noticed a relevant use of current software diagnosis support and a similarly performed diagnostic process in all RDC. Further studies are needed to get more detailed insights and to define specific requirements.
AB - Clinical decision support systems (CDSS) help to improve the diagnostics and treatment of rare diseases (RD). As one of four funded consortia of the Medical Informatics Initiative supported by the Federal Ministry of Education and Research (BMBF, Germany), MIRACUM develops a clinical decision support system (CDSS) for RD based on distributed data of ten university hospitals. The CDSS will be developed at the Rare Diseases Centres (RDC) of the MIRACUM consortium. Since it is essential to deliver decision support at the right time and place in the clinician's workflow, this study aimed to capture relevant information of the RDCs regarding patient admission and diagnostic process. Additionally, we investigated how patient documentation and digitalisation is performed at the centres. Therefore, we conducted a cross-sectional survey involving experts in the RDs domain to capture relevant information for the further development of a CDSS in RD. For each centre, one expert on RDs participated in the study (n=8). The survey identified several challenges regarding the reuse of patient data, e.g. the paper-based documentation of a patient's medical history and coding of diagnoses using ICD-10. However, we noticed a relevant use of current software diagnosis support and a similarly performed diagnostic process in all RDC. Further studies are needed to get more detailed insights and to define specific requirements.
KW - Clinical decision support
KW - Quantitative analysis
KW - Rare diseases
UR - http://www.scopus.com/inward/record.url?scp=85087032994&partnerID=8YFLogxK
U2 - 10.3233/SHTI200094
DO - 10.3233/SHTI200094
M3 - Conference contribution
C2 - 32578561
AN - SCOPUS:85087032994
T3 - Studies in Health Technology and Informatics
SP - 176
EP - 183
BT - dHealth 2020 - Biomedical Informatics for Health and Care
A2 - Schreier, Gunter
A2 - Hayn, Dieter
A2 - Eggerth, Alphons
PB - IOS Press BV
ER -