Timestamp Accuracy in Healthcare Business Process Improvement

Sami Laine, Juha Soikkeli, Toni Ruohonen, Marko Nieminen

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

Abstrakti

Business process improvement is a challenge in a complex environment, such as healthcare. Currently, it can involve a lot of manual data gathering, modelling and analyses. The results of data-driven analyses can be questioned due to inaccurate data affected by subtle contextual and human factors. Originally, we conducted two individual research projects that approached this same problem from qualitative and quantitative perspectives. According to our qualitative data quality research, current ambiguous and erroneous administrative timestamps should be more precise. A software development project indicates that the automatic process mining, discovery, modelling, and simulation could support healthcare process improvements by automating analytics and predictive simulations. However, contextual heterogeneity and data quality must be assessed carefully, and currently requires a lot of manual efforts. Our qualitative analyses identified and explained timestamp errors and semantic heterogeneity that cannot be currently identified from the data layer: data standards, data models and data sets. The synthesis of our findings indicates that software systems should collect metadata about user interactions and user interface structures. Additional metadata could then be used to discover and explain the actual meaning and contextual quality of recorded transaction data. We also noted that the automatic process visualization software, that discovers actual processes, could be more widely used to identify organizational data quality problems and opportunities for process improvement.

AlkuperäiskieliEnglanti
OtsikkoProceedings of the 20th International Conference on Information Quality, ICIQ 2015
KustantajaMIT Press
Sivut150-164
Sivumäärä15
ISBN (elektroninen)9781510820173
TilaJulkaistu - 24 heinäk. 2015
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Information Quality - Cambridge, Yhdysvallat
Kesto: 24 heinäk. 201524 heinäk. 2015
Konferenssinumero: 20

Julkaisusarja

Nimi
KustantajaMIT
ISSN (painettu)1544-1334

Conference

ConferenceInternational Conference on Information Quality
LyhennettäICIQ
Maa/AlueYhdysvallat
KaupunkiCambridge
Ajanjakso24/07/201524/07/2015

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