Niels Martin is an Assistant Professor affiliated with the Research Group Business Informatics. Within the research group, he is currently leading the research line 'Process Analytics in Healthcare'. This research line develops innovative methods that enable healthcare organisations to understand and improve their processes in a data-driven way.
Prof. dr. Niels MARTIN
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Prof. dr. Niels MARTIN
Tenure Track Assistant Professor
Prof. dr. Niels MARTIN
Membership
Research
Discipline codes: Business information management (05020601), Mathematical and quantitative methods not elsewhere classified (05020899), Business administration (05020202), Workflow, process and database management (01020507)
Supervised PhDs
Event Data Analytics: Feature Engineering and Diagnostic Analysis in a Hybrid Data Source Setting
Greg Van Houdt for the title Doctor of Business Economics (doctorate in progress)
Supervised as Copromotor
Essays on Process Mining in Healthcare
Emmelien De Roock for the title Doctor of Business Economics (doctorate in progress)
Supervised as Promotor
A Study of Event Logs for Process Mining
Shameer Kumar Pradhan for the title Doctor of Business Economics (doctorate in progress)
Supervised as Copromotor
Caring about the caregivers: novel methods to streamline work processes in healthcare using process execution data
An Vanthienen for the title Doctor of Business Economics (doctorate in progress)
Supervised as Promotor
Understanding and improving the interpretability of process mining outputs
Femke Pieters for the title Doctor of Business Economics (doctorate in progress)
Supervised as Promotor
Leveraging Data-Driven Process Simulation to Support Capacity Management Decisions in Healthcare
Gerhardus van Hulzen for the title Doctor of Business Economics in 2023
Supervised as Promotor
Publications
JOURNAL CONTRIBUTION
Recommendations for enhancing the usability and understandability of process mining in healthcare
Publish in 2020 in Artificial intelligence in medicine (Print), Volume 109, Page's -
Authors
JOURNAL CONTRIBUTION
Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study
Publish in 2021 in Business & information systems engineering (Print), Volume 63, Page's 511 - 527
Authors
JOURNAL CONTRIBUTION
Process mining in healthcare – An updated perspective on the state of the art
Publish in 2022 in JOURNAL OF BIOMEDICAL INFORMATICS, Volume 127, Page's -
Authors
JOURNAL CONTRIBUTION
Process Mining for Healthcare: Characteristics and Challenges
Publish in 2022 in JOURNAL OF BIOMEDICAL INFORMATICS, Volume 127, Page's -
Authors
Projects
13 research projects have been found
Unlocking the power of automatically recorded task execution data to support nurses as they generate work organisation improvement ideas: novel methods and insights (Research)
01/01/2024 - 31/12/2027
Process mining in healthcare from the perspective of healthcare professionals (Research)
01/10/2023 - 30/09/2027
Understanding and improving the interpretability of process mining outputs (Research)
16/09/2023 - 15/09/2027
Event Data Analytics: Feature Engineering and Diagnostic Analysis in a Hybrid Data Source Setting (Research)
01/09/2019 - 11/01/2024
HICSS-57: Process mining using Electronic Health Records data - quo vadis? Reflections from observing nurses' activities and data registration behavior (Research)
03/01/2024 - 06/01/2024
Logicare AI: AI as driver for more efficiency healthcare logistics processes (Research)
01/10/2021 - 30/09/2023
Interactive Data-Driven Process Simulation for Capacity Management in Healthcare (Research)
01/09/2019 - 31/08/2023
Providing hospitals with richer insights in their processes: an enhanced methodology for data-driven root-cause analysis using an improved event log (Research)
01/10/2019 - 30/09/2022
Credit for participation in a conference abroad at the Winter Simulation Conference, Göteborg Sweden 09-12 / 12/2018 (Research)
09/12/2018 - 12/12/2018
Credit for participation in a conference abroad at the International Conference on Business Process Management, Sydney Australia 09-14 / 09/2018. (Research)
09/09/2018 - 14/09/2018
Education
Involved in the following courses
Academic year 2022 - 2023
Academic year 2022 - 2023
Niels MARTIN
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