Filters








10,143 Hits in 9.7 sec

Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case

Gema Ibanez-Sanchez, Carlos Fernandez-Llatas, Antonio Martinez-Millana, Angeles Celda, Jesus Mandingorra, Lucia Aparici-Tortajada, Zoe Valero-Ramon, Jorge Munoz-Gama, Marcos Sepúlveda, Eric Rojas, Víctor Gálvez, Daniel Capurro (+1 others)
2019 International Journal of Environmental Research and Public Health  
To demonstrate the possibilities of Process Mining in the characterization of the emergency process, we used a real log with 9046 emergency episodes from 2145 stroke patients that occurred from January  ...  Our results demonstrate how Process Mining technology can highlight the differences between the flow of stroke patients compared with that of other patients in an emergency.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijerph16101783 pmid:31137557 pmcid:PMC6572362 fatcat:v7recrogfnh3ppcgy32yfulavm

Data Mining in Ubiquitous Healthcare [chapter]

Viswanathan, Whangbo, Yang
2011 New Fundamental Technologies in Data Mining  
In such cases prompt responses are most important when a medical emergency occurs.  ...  Local mining of individual user data based on personalized medical history as well as global mining with respect to groups is required.  ...  The series of books entitled by "Data Mining" address the need by presenting in-depth description of novel mining algorithms and many useful applications.  ... 
doi:10.5772/14390 fatcat:modnn7ckmbcozcbmbhbssviwlu

A Case for the Implementation of Cognitive-Communication Screenings in Acute Stroke

Jacqueline J. Hinckley
2014 American Journal of Speech-Language Pathology  
stroke.  ...  Purpose: The purpose of this article was to illustrate the importance of the implementation of cognitive-communication screenings in acute stroke and to discuss the need for further research on whether  ...  Hearing impairment was missed in 86% of cases, and aphasia was missed in 79% of cases compared with the number of cases positively identified on the formal screening.  ... 
doi:10.1044/1058-0360(2013/11-0064) pmid:23813197 fatcat:fsyu4meck5gr5bq6nm2x34eyke

Process Mining in Cardiology: A Literature Review

Guntur P. Kusuma, Marlous Hall, Chris P. Gale, Owen A. Johnson
2018 International Journal of Bioscience Biochemistry and Bioinformatics  
This paper describes the opportunities for process mining to support such improvements and provides a summary of process mining studies undertaken in the field of cardiology.  ...  Process mining is a data analytics approach which has shown promising results in healthcare including the potential to improve the management of chronic diseases such as cardiovascular disease (CVD).  ...  Acknowledgment The first author would like to thank the Indonesia Endowment Fund for Education (LPDP) for the sponsorship and all given support during the research.  ... 
doi:10.17706/ijbbb.2018.8.4.226-236 fatcat:kzqdtzqfvvgh5hvkawajwbd5ea

Process mining techniques: an application to stroke care

Ronny Mans, Helen Schonenberg, Giorgio Leonardi, Silvia Panzarasa, Anna Cavallini, Silvana Quaglini, Wil van der Aalst
2008 Studies in Health Technology and Informatics  
In this paper, we apply process mining on two datasets for stroke patients and present the most interesting results.  ...  Above all, the paper demonstrates the applicability of process mining in the health-care domain.  ...  The question is interesting because stroke is, as a medical emergency, similar to a heart attack.  ... 
pmid:18487792 fatcat:k4nyzvpbebg6dlpfexjrk76oxa

Mining time dependency patterns in clinical pathways

Fu-ren Lin, Shien-chao Chou, Shung-mei Pan, Yao-mei Chen
2001 International Journal of Medical Informatics  
The mining of time dependency pattern is to discover patterns of process execution sequences and to identify the dependent relation between activities in a majority of cases.  ...  This paper reports a data mining technique we have developed to discover the time dependency pattern of clinical pathways for managing brain stroke.  ...  With his help, we obtained the medical records of patients with brain stroke treatment history.  ... 
doi:10.1016/s1386-5056(01)00126-5 pmid:11340003 fatcat:bz62lysrjna2zhupsumdh3kbem

Process Mining of Incoming Patients with Sepsis

Renee Hendricks
2019 Online Journal of Public Health Informatics  
Process mining is similar to data mining in that large data files are reviewed and analyzed, but in this case, event logs specific to a particular process or series of processes, are analyzed.  ...  Process mining was conducted on a hospital event log of patients entering the emergency room with sepsis, to better understand this newer analysis method, to highlight the information discovered, and to  ...  Khasawneh because their insights provided me an interest in data and process mining and machine learning.  ... 
doi:10.5210/ojphi.v11i2.10151 pmid:31632608 pmcid:PMC6788890 fatcat:hs46lkr33ngbpkfznw3r4fejgm

Process Mining-Supported Emergency Room Process Performance Indicators

Minsu Cho, Minseok Song, Junhyun Park, Seok-Ran Yeom, Il-Jae Wang, Byung-Kwan Choi
2020 International Journal of Environmental Research and Public Health  
Regarding this, there have been several attempts to propose a method to analyze the emergency room processes.  ...  The case study demonstrated that the proposed indicators are well applied using the clinical data, and the framework is capable of understanding emergency room processes' performance.  ...  For example, [18] introduced an approach to evaluate the capabilities of process mining to the ER process on the stroke case, and [19] explored the effects of interactive process mining using the value-based  ... 
doi:10.3390/ijerph17176290 pmid:32872350 pmcid:PMC7503251 fatcat:nnz35wnldfcvfdrumaelelhe24

Mapping the Patient's Journey in Healthcare through Process Mining

Michael Arias, Eric Rojas, Santiago Aguirre, Felipe Cornejo, Jorge Munoz-Gama, Marcos Sepúlveda, Daniel Capurro
2020 International Journal of Environmental Research and Public Health  
The appropriateness of the approach presented is illustrated through a case study of a key healthcare process.  ...  This study aims to describe the application of process mining techniques in healthcare as a tool to asses customer journeys.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijerph17186586 pmid:32927669 fatcat:kisqpdcaovbglgboaua6qznboy

Process mining framework with time perspective for understanding acute care: a case study of AIS in hospitals

Jianfei Pang, Haifeng Xu, Jun Ren, Jun Yang, Mei Li, Dan Lu, Dongsheng Zhao
2021 BMC Medical Informatics and Decision Making  
We take the acute ischemic stroke as a case study, and retrospectively reviewed 420 patients' data from a large hospital.  ...  Then we discovered process models with timelines, and identified the main reasons for in-hospital delay.  ...  Acknowledgements The authors are grateful to General Hospital of Xinjiang Military Command for their allowance to analyze the EMR data.  ... 
doi:10.1186/s12911-021-01725-1 pmid:34923989 pmcid:PMC8684667 fatcat:b2b3lpvm6zhr7ebp7uyvmu7yai

On-board Data Mining [chapter]

Steve Tanner, Cara Stein, Sara J. Graves
2009 Scientific Data Mining and Knowledge Discovery  
This collected data were usually processed well after the fact at a computer greatly removed from the in situ sensing location.  ...  Given the limitations of current systems, what is driving the push to develop sensor networks and autonomous systems? What place does data mining have in such environments?  ...  Beyond simply transmitting video of traffic flow to ground sites for processing, UAVs with on-board data mining capabilities have the potential to recognize accidents or emergencies and alert emergency  ... 
doi:10.1007/978-3-642-02788-8_13 fatcat:np6k4k2pmvbzhhmx5ympgmutiq

Mining Electronic Health Records

Naren Ramakrishnan, David Hanauer, Benjamin Keller
2010 Computer  
The amount of available information depends on the incentives to code and how well codification integrates with clinicians' workflows and thought processes.  ...  New privacy models are continually emerging, and there must be greater integration between formal model development and the specific clinical contexts in which EHR data is processed and interpreted.  ... 
doi:10.1109/mc.2010.292 fatcat:lmmunereufhvxfl5km5ipxkpxi

Process mining leveraging the analysis of patient journey and outcomes: Stroke assistance during the Covid-19 pandemic

2021 Knowledge Management & E-Learning: An International Journal  
Process mining (PM) helps evaluate the patient journey discovering care delays, bottlenecks, and non-conformities.  ...  It was a retrospective cross-sectional study including 509 analyzed event logs, employing the most relevant population-based stroke registry of Latin America.  ...  We would also like to acknowledge the Joinvasc employees at the São José Municipal Hospital -Joinville (SC) for their partnership and knowledge exchange in the stroke field. . ORCID  ... 
doi:10.34105/j.kmel.2021.13.023 fatcat:fsggad3fnffclgb3amjylhkf6y

Process Mining for Clinical Processes

Andrew Partington, Moe Wynn, Suriadi Suriadi, Chun Ouyang, Jonathan Karnon
2015 ACM Transactions on Management Information Systems  
The case study applies process mining techniques to administrative and clinical data for patients who present with chest pain symptoms at one of four public hospitals in South Australia.  ...  In this paper, we present a brief introduction on the nature of health care processes; a review of the process mining in health literature; and a case study conducted to explore and learn how health care  ...  In [Mans et al. 2008a] , data from 368 patients diagnosed with 'first-ever ischemic stroke' from four Italian hospitals were analyzed in order to discover the procedures involved in the treatment of the  ... 
doi:10.1145/2629446 fatcat:4t3ohpictnhjnklngql6aemdbu

Towards Semantic Process Mining Through Knowledge-Based Trace Abstraction [chapter]

G. Leonardi, M. Striani, S. Quaglini, A. Cavallini, S. Montani
2019 JIMD Reports  
The approach has been tested in the medical domain of stroke care, where we show how the abstraction mechanism allows the user to mine process models that are easier to interpret, since unnecessary details  ...  Abstracted traces are then provided as an input to semantic process mining.  ...  Class-3 SUs are top class centers, able to deal with particularly complex stroke cases; class-1 SUs, on the contrary, are the more generalist centers, where only standard cases can be managed.  ... 
doi:10.1007/978-3-030-11638-5_3 fatcat:7tpb7gkuiffw7nylcwr2q32jqm
« Previous Showing results 1 — 15 out of 10,143 results