Towards the Use of Standardized Terms in Clinical Case Studies for Process Mining in Healthcare
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Hyunyoung Baek & Minsu Cho & Seok Kim & Hee Hwang & Minseok Song & Sooyoung Yoo, 2018. "Analysis of length of hospital stay using electronic health records: A statistical and data mining approach," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-16, April.
- Christoph Rinner & Emmanuel Helm & Reinhold Dunkl & Harald Kittler & Stefanie Rinderle-Ma, 2018. "Process Mining and Conformance Checking of Long Running Processes in the Context of Melanoma Surveillance," IJERPH, MDPI, vol. 15(12), pages 1-14, December.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Dylan A. Mordaunt, 2020. "On Clinical Utility and Systematic Reporting in Case Studies of Healthcare Process Mining. Comment on: 10.3390/ijerph17041348 “Towards the Use of Standardised Terms in Clinical Case Studies for Proces," IJERPH, MDPI, vol. 17(22), pages 1-4, November.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Lia Gentil & Guy Grenier & Helen-Maria Vasiliadis & Marie-Josée Fleury, 2022. "Predictors of Length of Hospitalization and Impact on Early Readmission for Mental Disorders," IJERPH, MDPI, vol. 19(22), pages 1-19, November.
- Kuluski, Kerry & Cadel, Lauren & Marcinow, Michelle & Sandercock, Jane & Guilcher, Sara JT, 2022. "Expanding our understanding of factors impacting delayed hospital discharge: Insights from patients, caregivers, providers and organizational leaders in Ontario, Canada," Health Policy, Elsevier, vol. 126(4), pages 310-317.
- Addisu Jember Zeleke & Serena Moscato & Rossella Miglio & Lorenzo Chiari, 2022. "Length of Stay Analysis of COVID-19 Hospitalizations Using a Count Regression Model and Quantile Regression: A Study in Bologna, Italy," IJERPH, MDPI, vol. 19(4), pages 1-18, February.
- Martin Kopecky & Hana Tomaskova, 2020. "The Business Process Model and Notation Used for the Representation of Alzheimer’s Disease Patients Care Process," Data, MDPI, vol. 5(1), pages 1-12, February.
- Anthony Gramaje & Fadi Thabtah & Neda Abdelhamid & Sayan Kumar Ray, 2021. "Patient Discharge Classification Using Machine Learning Techniques," Annals of Data Science, Springer, vol. 8(4), pages 755-767, December.
- Braulio A Marfil-Garza & Pablo F Belaunzarán-Zamudio & Alfonso Gulias-Herrero & Antonio Camiro Zuñiga & Yanink Caro-Vega & David Kershenobich-Stalnikowitz & José Sifuentes-Osornio, 2018. "Risk factors associated with prolonged hospital length-of-stay: 18-year retrospective study of hospitalizations in a tertiary healthcare center in Mexico," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-14, November.
- Reyes-Santias, Francisco & Reboredo, Juan C. & de Assis, Edilson Machado & Rivera-Castro, Miguel A., 2021. "Does length of hospital stay reflect power-law behavior? A q-Weibull density approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
- Rita Matos & Diogo Ferreira & Maria Isabel Pedro, 2021. "Economic Analysis of Portuguese Public Hospitals Through the Construction of Quality, Efficiency, Access, and Financial Related Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 361-392, August.
- Minsu Cho & Minseok Song & Junhyun Park & Seok-Ran Yeom & Il-Jae Wang & Byung-Kwan Choi, 2020. "Process Mining-Supported Emergency Room Process Performance Indicators," IJERPH, MDPI, vol. 17(17), pages 1-20, August.
More about this item
Keywords
process mining; healthcare; terminology; ICD; SNOMED;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:4:p:1348-:d:322624. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.