Moe Thandar Wynn
Datos Biográficos
| ID | 7835148 |
|---|---|
| NOMBRE | Moe Thandar Wynn |
| NOMBRES | Moe Thandar |
| APELLIDO | Wynn |
| FIRMA | WYNN M T |
| AFILIACIONES | Queensland University of Technology |
| ORCID | 0000-0002-7205-8821 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 0 |
| OBRAS COMO AUTOR | 3 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2019 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2020 |
| ÍNDICE H | 0 |
Privacy-Preserving Process Mining in Healthcare
Process mining has been successfully applied in the healthcare domain and has helped touncover various insights for improving healthcare processes. While the benefits of process miningare widely acknowledged, many people rightfully have concerns about irresponsible uses of personaldata. Healthcare information systems contain highly sensitive information and healthcare regulationsoften require protection of data privacy. The need to comply with st…
A Comparative Process Mining Analysis of Road Trauma Patient Pathways
In this paper we report on key findings and lessons from a process mining case study conducted to analyse transport pathways discovered across the time-critical phase of pre-hospital care for persons involved in road traffic crashes in Queensland (Australia). In this study, a case is defined as being an individual patient's journey from roadside to definitive care. We describe challenges in constructing an event log from source data provided by e…
Leveraging Data Quality to Better Prepare for Process Mining
While noting the importance of data quality, existing process mining methodologies (i) do not provide details on how to assess the quality of event data (ii) do not consider how the identification of data quality issues can be exploited in the planning, data extraction and log building phases of any process mining analysis, (iii) do not highlight potential impacts of poor quality data on different types of process analyses. As our key contributio…
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Leveraging Data Quality to Better Prepare for Process Mining
While noting the importance of data quality, existing process mining methodologies (i) do not provide details on how to assess the quality of event data (ii) do not consider how the identification of data quality issues can be exploited in the planning, data extraction and log building phases of any process mining analysis, (iii) do not highlight potential impacts of poor quality data on different types of process analyses. As our key contributio…
Privacy-Preserving Process Mining in Healthcare
Process mining has been successfully applied in the healthcare domain and has helped touncover various insights for improving healthcare processes. While the benefits of process miningare widely acknowledged, many people rightfully have concerns about irresponsible uses of personaldata. Healthcare information systems contain highly sensitive information and healthcare regulationsoften require protection of data privacy. The need to comply with st…
A Comparative Process Mining Analysis of Road Trauma Patient Pathways
In this paper we report on key findings and lessons from a process mining case study conducted to analyse transport pathways discovered across the time-critical phase of pre-hospital care for persons involved in road traffic crashes in Queensland (Australia). In this study, a case is defined as being an individual patient's journey from roadside to definitive care. We describe challenges in constructing an event log from source data provided by e…
Business Process Modeling and Analysis (3 obras) · Computer Science (3 obras) · Data Quality and Management (3 obras) · Process (computing (3 obras) · Data science (2 obras) · Business (1 obra) · Business process (1 obra) · Business process discovery (1 obra) · Data extraction (1 obra) · Data mining (1 obra)