Transforming Healthcare Delivery: Integrating Dynamic Simulation Modelling and Big Data in Health Economics and Outcomes Research.
In the era of the Information Age and personalized medicine, healthcare delivery systems need to be efficient and patient-centred. The health system must be responsive to individual patient choices and preferences about their care, while considering the system consequences. While dynamic simulation modelling (DSM) and big data share characteristics, they present distinct and complementary value in healthcare. Big data and DSM are synergistic-big data offer support to enhance the application of dynamic models, but DSM also can greatly enhance the value conferred by big data. Big data can inform patient-centred care with its high velocity, volume, and variety (the three Vs) over traditional data analytics; however, big data are not sufficient to extract meaningful insights to inform approaches to improve healthcare delivery. DSM can serve as a natural bridge between the wealth of evidence offered by big data and informed decision making as a means of faster, deeper, more consistent learning from that evidence. We discuss the synergies between big data and DSM, practical considerations and challenges, and how integrating big data and DSM can be useful to decision makers to address complex, systemic health economics and outcomes questions and to transform healthcare delivery.
Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Room 3C56 Health Research Innovation Centre, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada. damarsha@ucalgary.ca.
Deborah A
DA
Marshall
Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Room 3C58 Health Research Innovation Centre, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada.
Lina
L
Burgos-Liz
Clinical Engineering Learning Lab, Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Rochester, MN, USA.
Kalyan S
KS
Pasupathy
Department of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
William V
WV
Padula
Department of Health Technology and Services Research, University of Twente, Enschede, The Netherlands.
Maarten J
MJ
IJzerman
Illinois Divisions and HSHS Medical Group, Hospital Sisters Health System (HSHS), Belleville, IL, USA.
Peter K
PK
Wong
GE Healthcare, Barrington, IL, USA.
Mitchell K
MK
Higashi
Clinical Research Unit, University of Calgary, Calgary, AB, Canada.
Jordan
J
Engbers
Clinical Research Unit, University of Calgary, Calgary, AB, Canada.
Samuel
S
Wiebe
Optum Labs, Boston, MA, USA.
William
W
Crown
Department of Computer Science, University of Saskatchewan, Saskatoon, Canada.|Department of Community Health & Epidemiology and Bioengineering Division, University of Saskatchewan, Saskatoon, SK, Canada.
Nathaniel D
ND
Osgood
D003198:Computer Simulation; D003657:Decision Making; D003695:Delivery of Health Care / Q000458:organization & administration*; D004470:Economics, Medical; D006801:Humans; D008962:Models, Theoretical; D017063:Outcome Assessment, Health Care / Q000379:methods*; D018802:Patient-Centered Care / Q000458:organization & administration; D057285:Precision Medicine / Q000379:methods