Projekteja vuodessa
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.
Alkuperäiskieli | Englanti |
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Otsikko | Proceedings of the 20th International Conference on Information Quality, ICIQ 2015 |
Kustantaja | MIT Press |
Sivut | 150-164 |
Sivumäärä | 15 |
ISBN (elektroninen) | 9781510820173 |
Tila | Julkaistu - 24 heinäk. 2015 |
OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
Tapahtuma | International Conference on Information Quality - Cambridge, Yhdysvallat Kesto: 24 heinäk. 2015 → 24 heinäk. 2015 Konferenssinumero: 20 |
Julkaisusarja
Nimi | |
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Kustantaja | MIT |
ISSN (painettu) | 1544-1334 |
Conference
Conference | International Conference on Information Quality |
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Lyhennettä | ICIQ |
Maa/Alue | Yhdysvallat |
Kaupunki | Cambridge |
Ajanjakso | 24/07/2015 → 24/07/2015 |
Sormenjälki
Sukella tutkimusaiheisiin 'Timestamp Accuracy in Healthcare Business Process Improvement'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.Projektit
- 1 Päättynyt
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Qualidat - Laadukkaalla tiedolla oikeisiin päätöksiin
Viitanen, J. (Projektin jäsen), Teräs, S. (Projektin jäsen), Laine, S. (Projektin jäsen), Borgman, J. (Projektin jäsen), Nieminen, M. (Vastuullinen tutkija), Runonen, M. (Projektin jäsen) & Mahlamäki, K. (Projektin jäsen)
01/09/2012 → 31/12/2014
Projekti: Business Finland: Other research funding