TY - JOUR
T1 - The Applied Data Analytics in Medicine Program
T2 - Lessons Learned From Four Years' Experience With Personalizing Health Care in an Academic Teaching Hospital
AU - Haitjema, Saskia
AU - Prescott, Timothy R
AU - van Solinge, Wouter W
N1 - Funding Information:
The authors would like to thank all participants in the Applied Data Analytics in Medicine (ADAM) program for their part in its success. Special thanks goes to Hyleco Nauta, Ir, and Harry Pijl, MBA, for their input in the core team; and master?s students Raoul Rozestraten, Erwin de Craen, Jasper Oudshoorn, Tom van den Brink, and Devika Jagesar for their interesting perspectives.
Publisher Copyright:
©Saskia Haitjema, Timothy R Prescott, Wouter W van Solinge.
PY - 2022/1/28
Y1 - 2022/1/28
N2 - The University Medical Center (UMC) Utrecht piloted a hospital-wide innovation data analytics program over the past 4 years. The goal was, based on available data and innovative data analytics methodologies, to answer clinical questions to improve patient care. In this viewpoint, we aimed to support and inspire others pursuing similar efforts by sharing the three principles of the program: the data analytics value chain (data, insight, action, value), the innovation funnel (structured innovation approach with phases and gates), and the multidisciplinary team (patients, clinicians, and data scientists). We also discussed our most important lessons learned: the importance of a clinical question, collaboration challenges between health care professionals and different types of data scientists, the win-win result of our collaboration with external partners, the prerequisite of available meaningful data, the (legal) complexity of implementation, organizational power, and the embedding of collaborative efforts in the health care system as a whole.
AB - The University Medical Center (UMC) Utrecht piloted a hospital-wide innovation data analytics program over the past 4 years. The goal was, based on available data and innovative data analytics methodologies, to answer clinical questions to improve patient care. In this viewpoint, we aimed to support and inspire others pursuing similar efforts by sharing the three principles of the program: the data analytics value chain (data, insight, action, value), the innovation funnel (structured innovation approach with phases and gates), and the multidisciplinary team (patients, clinicians, and data scientists). We also discussed our most important lessons learned: the importance of a clinical question, collaboration challenges between health care professionals and different types of data scientists, the win-win result of our collaboration with external partners, the prerequisite of available meaningful data, the (legal) complexity of implementation, organizational power, and the embedding of collaborative efforts in the health care system as a whole.
KW - Collaboration
KW - Data analytics
KW - Data-driven care
KW - Digital health
KW - EHealth
KW - Hospital
KW - Implementation
KW - Lessons learned
KW - Multidisciplinarity
KW - Personalized medicine
UR - http://www.scopus.com/inward/record.url?scp=85124125811&partnerID=8YFLogxK
U2 - 10.2196/29333
DO - 10.2196/29333
M3 - Article
C2 - 35089145
SN - 2561-326X
VL - 6
SP - 1
EP - 5
JO - JMIR formative research
JF - JMIR formative research
IS - 1
M1 - e29333
ER -