Understanding quality improvement in care: The case of public care procurement and process mining
QI in care has been defined as ´...the combined and unceasing efforts of everyone - healthcare professionals, patients and their families, researchers, payers, planners and educators - to make changes that will lead to better patient outcomes (health), better system performance (care) and better professional development (learning)...´. To understand care and find new ways of further improving care, inspiration is sometimes taken from other research fields and subjects. This thesis continues that journey by identifying an existing context and methodology that may support and drive QI efforts. The purpose of this thesis is to explore how QI in care can be understood by expanding QI application into a new context and through the support of a new methodology.
Although a significant amount of care is handled through public procurement, there is little understanding of this system's potential for QI. To explore how QI applications can be expanded into the context of public care procurement, one study in the thesis analyzes procurement documents and performs interviews with municipalities. Identified QI criteria were statistically analyzed for correlation to procurement-specific statistics. Although legal requirements sometimes work against QI, such as through advocating static requirements rather than the flexibility necessary to QI, this thesis identified potential ways to support and drive QI through public care procurement.
One way to achieve QI is through a focus on process and a use of planned to-be care pathways. However, since as-is care pathways, based on documented patient data, are often highly variable, they are seldom possible to recognize through mainstream pathway analysis, e.g. process mapping. Therefore, care variation may need to be better understood to attain the desired improvement. Process mining is a recently developed methodology in which knowledge is extracted from event logs based on individual patient data to produce process maps including all pathway variation. Despite this method's aim of discovering, monitoring, and improving processes and its application in healthcare settings, improvement efforts are lacking, and few papers address the combination of QI and process mining. This thesis explores how QI may be understood by expanding QI applications into the methodology of process mining both theoretically and empirically.
This thesis further elaborates upon the effects public care procurement and process mining have on the theoretical knowledge domains of QI and the practice of QI in care.
public care procurement
Chalmers, Teknikens ekonomi och organisation, Service Management and Logistics
Dahlin, S., Eriksson, H., and Camén, C., Developing criteria for quality improvement in care procurement
Dahlin, S., Eriksson, H., and Raharjo, H., Process mining for quality improvement: propositions for practice and research
Dahlin, S. and Raharjo, H., Relationship between patient cost and patient pathways: the case of breast cancer care in hospitals in Sweden
Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi
Övrig annan teknik
Livsvetenskaper och teknik (2010-2018)
Licentiate thesis, report - Department of Technology of Management and Economics, Chalmers University of Technology: L2017:092
Chalmers tekniska högskola
Room Korsvägen (2456), Vera Sandbergs allé 8
Opponent: Ann-Christine Andersson, Jönköping University