Zobrazeno 1 - 10
of 17
pro vyhledávání: '"RS Ronny Mans"'
Publikováno v:
IEEE Software, 31(5), 94-100. IEEE Computer Society
Genuchten, M J I M, Mans, R S, Reijers, H A & Wismeijer, D 2014, ' Is your upgrade worth it? Process mining can tell ', IEEE Software, vol. 31, no. 5, pp. 94-100 . https://doi.org/10.1109/MS.2014.20
Genuchten, M J I M, Mans, R S, Reijers, H A & Wismeijer, D 2014, ' Is your upgrade worth it? Process mining can tell ', IEEE Software, vol. 31, no. 5, pp. 94-100 . https://doi.org/10.1109/MS.2014.20
Software vendors typically release updates and upgrades of their software once or twice a year. Users are then faced with the question of whether the upgrade is worth the price and the trouble. The software industry doesn't provide much evidence that
Publikováno v:
Wismeijer, D, Mans, R S, Van Genuchten, M J I M & Reijers, H A 2014, ' Patients' preferences when comparing analogue implant impressions using a polyether impression material versus digital impressions (Intraoral Scan) of dental implants ', Clinical Oral Implants Research, pp. 1113-1118 . https://doi.org/10.1111/clr.12234
Clinical Oral Implants Research, 25(10), 1113-1118. Blackwell Munksgaard
Wismeijer, D, Mans, R, van Genugten, M & Reijers, H A 2014, ' Patients' preferences when comparing analogue implant impressions using a polyether impression material versus digital impressions (Intraoral Scan) of dental implants ', Clinical Oral Implants Research, vol. 25, no. 10, pp. 1113-1118 . https://doi.org/10.1111/clr.12234
Clinical Oral Implants Research, 1113-1118. Blackwell Munksgaard
STARTPAGE=1113;ENDPAGE=1118;ISSN=0905-7161;TITLE=Clinical Oral Implants Research
Clinical Oral Implants Research, 25(10), 1113-1118. Blackwell Munksgaard
Wismeijer, D, Mans, R, van Genugten, M & Reijers, H A 2014, ' Patients' preferences when comparing analogue implant impressions using a polyether impression material versus digital impressions (Intraoral Scan) of dental implants ', Clinical Oral Implants Research, vol. 25, no. 10, pp. 1113-1118 . https://doi.org/10.1111/clr.12234
Clinical Oral Implants Research, 1113-1118. Blackwell Munksgaard
STARTPAGE=1113;ENDPAGE=1118;ISSN=0905-7161;TITLE=Clinical Oral Implants Research
Objectives. The primary objective of this clinical study was to assess the patients' perception of the difference between an analogue impression approach on the one hand and an intra-oral scan (IO scan) on the other when restoring implants in the non
Publikováno v:
Information Systems, 38(8), 1097-1115. Elsevier
In order to improve the performance of business processes often Information Technologies (ITs) are introduced. However, business processes are known to be complex and distributed among multiple business entities. As a result, the impact of new IT on
Publikováno v:
SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 86(8-9), 519-541. SAGE Publications Ltd
Simulation, 86(8-9), 519-541. SAGE Publications Ltd
Simulation, 86(8-9), 519-541. SAGE Publications Ltd
Today’s workflow management systems (WfMSs) offer workitems to users through specific work-lists. Users select the workitems they will perform without having a schedule in mind. However, in many environments work needs to be scheduled and performed
Publikováno v:
Information Systems, 34(3), 305-327. Elsevier
INFORMATION SYSTEMS, 34(3), 305-327. Elsevier Limited
INFORMATION SYSTEMS, 34(3), 305-327. Elsevier Limited
Process mining is a tool to extract non-trivial and useful information from process execution logs. These so-called event logs (also called audit trails, or transaction logs) are the starting point for various discovery and analysis techniques that h
Publikováno v:
International Journal on Software Tools for Technology Transfer, 10(1), 57-74. Springer
Process-aware information systems typically log events (e.g., in transaction logs or audit trails) related to the actual execution of business processes. Analysis of these execution logs may reveal important knowledge that can help organizations to i
Publikováno v:
Process Mining in Healthcare ISBN: 9783319160702
Healthcare data, like any data, may have all kinds of quality problems. In this chapter, we identify 27 data quality issues that may compromise the validity of process mining results. Examples are missing data, incorrect data, imprecise data, and irr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3822c3cdeedbfa0b8baf4a764a7ffb7
https://doi.org/10.1007/978-3-319-16071-9_6
https://doi.org/10.1007/978-3-319-16071-9_6
Publikováno v:
Process Mining in Healthcare ISBN: 9783319160702
Data science projects in hospitals often fail because of data-related problems. The data are somewhere in the Hospital Information System (HIS), but the analyst cannot find it or extraction is too costly. Therefore, a healthcare reference model was d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0de6b1f120e4bd4261561da9f2424b3b
https://doi.org/10.1007/978-3-319-16071-9_4
https://doi.org/10.1007/978-3-319-16071-9_4
Publikováno v:
Process Mining in Healthcare ISBN: 9783319160702
The healthcare reference model illustrates the wealth of event data available in today’s hospitals. In this chapter, we focus on the application of process mining using such data. We identify various process mining use cases. These illustrate the u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56188f07195d48e1ef641c2959e121cd
https://doi.org/10.1007/978-3-319-16071-9_5
https://doi.org/10.1007/978-3-319-16071-9_5
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783319082219
AP-BPM
AP-BPM
Variations that exist in the treatment of patients (with similar symptoms) across different hospitals do substantially impact the quality and costs of healthcare. Consequently, it is important to understand the similarities and differences between th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7edbb2711c0e3c10040931da97b5ab2
https://doi.org/10.1007/978-3-319-08222-6_4
https://doi.org/10.1007/978-3-319-08222-6_4