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22 results on '"Valero Ramon, Zoe"'

1. Error-Correcting Methodology for Evaluating Compliance to Clinical Guidelines: A Case Study on Rectal Cancer

Author

Savino, Mariachiara, Fernandez-Llatas, Carlos, Gatta, Roberto, Chiloiro, Giuditta, Di Franco, Silvia, Ibanez-Sanchez, Gema, Valero-Ramon, Zoe, Gambacorta, Maria Antonietta, Valentini, Vincenzo, Damiani, Andrea, van der Aalst, Wil, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, Guizzardi, Giancarlo, Series Editor, De Smedt, Johannes, editor, and Soffer, Pnina, editor

Published
2024
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2. Understanding Prostate Cancer Care Process Using Process Mining: A Case Study

Author

Valero-Ramon, Zoe, Fernandez-Llatas, Carlos, Collantes, Gonzalo, Valdivieso, Bernardo, Traver, Vicente, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Juarez, Jose M., editor, Fernandez-Llatas, Carlos, editor, Bielza, Concha, editor, Johnson, Owen, editor, Kocbek, Primoz, editor, Larrañaga, Pedro, editor, Martin, Niels, editor, Munoz-Gama, Jorge, editor, Štiglic, Gregor, editor, Sepulveda, Marcos, editor, and Vellido, Alfredo, editor

Published
2024
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3. PMApp: An Interactive Process Mining Toolkit for Building Healthcare Dashboards

Author

Ibanez-Sanchez, Gema, Fernandez-Llatas, Carlos, Valero-Ramon, Zoe, Bayo-Monton, Jose Luis, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Juarez, Jose M., editor, Fernandez-Llatas, Carlos, editor, Bielza, Concha, editor, Johnson, Owen, editor, Kocbek, Primoz, editor, Larrañaga, Pedro, editor, Martin, Niels, editor, Munoz-Gama, Jorge, editor, Štiglic, Gregor, editor, Sepulveda, Marcos, editor, and Vellido, Alfredo, editor

Published
2024
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4. A Collective Intelligence Platform to Support Older Cancer Survivors: Towards the Definition of LifeChamps System and Big Data Reference Architecture

Author

Valero-Ramon, Zoe, primary, Louro, Pedro, additional, Irio, Luis, additional, Dimitriadis, Ilias, additional, Poiitis, Marinos, additional, Toliopoulos, Theodoros, additional, Lagakis, Paraskevas, additional, Petridis, Georgios, additional, Papachristou, Nikolaos, additional, Núñez-Benjumea, Francisco J., additional, Hors-Fraile, Santiago, additional, Vakali, Athena, additional, Gounaris, Anastasios, additional, Shapiro, Dany, additional, Naranjo, Juan-Carlos, additional, Levva, Sofia, additional, Billis, Antonis, additional, Traver, Vicente, additional, and Bamidis, Panagiotis, additional

Published
2022
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5. Process mining for healthcare: Characteristics and challenges

Author

Munoz-Gama, Jorge, Martin, Niels, Fernandez-Llatas, Carlos, Johnson, Owen A., Sepúlveda, Marcos, Helm, Emmanuel, Galvez-Yanjari, Victor, Rojas, Eric, Martinez-Millana, Antonio, Aloini, Davide, Amantea, Ilaria Angela, Andrews, Robert, Arias, Michael, Beerepoot, Iris, Benevento, Elisabetta, Burattin, Andrea, Capurro, Daniel, Carmona, Josep, Comuzzi, Marco, Dalmas, Benjamin, de la Fuente, Rene, Di Francescomarino, Chiara, Di Ciccio, Claudio, Gatta, Roberto, Ghidini, Chiara, Gonzalez-Lopez, Fernanda, Ibanez-Sanchez, Gema, Klasky, Hilda B., Prima Kurniati, Angelina, Lu, Xixi, Mannhardt, Felix, Mans, Ronny, Marcos, Mar, Medeiros de Carvalho, Renata, Pegoraro, Marco, Poon, Simon K., Pufahl, Luise, Reijers, Hajo A., Remy, Simon, Rinderle-Ma, Stefanie, Sacchi, Lucia, Seoane, Fernando, Song, Minseok, Stefanini, Alessandro, Sulis, Emilio, ter Hofstede, Arthur H.M., Toussaint, Pieter J., Traver, Vicente, Valero-Ramon, Zoe, Weerd, Inge van de, van der Aalst, Wil M.P., Vanwersch, Rob, Weske, Mathias, Wynn, Moe Thandar, and Zerbato, Francesca

Published
2022
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7. BEST PRACTICES AND RECOMMENDATIONS IN EDUCATION TO ENABLE THE INTEGRATION OF REFUGEES INTO THE EUROPEAN UNION HEALTH CARE PROVISION SYSTEMS

Author

Valero-Ramon, Zoe, primary, Segura, Maria, additional, Karlgren, Klas, additional, Stathakarou, Natalia, additional, Harjani, Maxine, additional, Dratsiou, Ioanna, additional, Varella, Annita, additional, Bamidis, Panagiotis, additional, Konstantinidis, Stathis, additional, and Traver, Vicente, additional

Published
2024
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12. Process Mining for Healthcare: Characteristics and Challenges

Author

Sub Process Management and Analytics, Business Process Management and Analytics, Munoz-Gama, Jorge, Martin, Niels, Fernandez-Llatas, Carlos, Johnson, Owen A, Sepúlveda, Marcos, Helm, Emmanuel, Galvez-Yanjari, Victor, Rojas, Eric, Martinez-Millana, Antonio, Aloini, Davide, Amantea, Ilaria Angela, Andrews, Robert, Arias, Michael, Beerepoot, Iris, Benevento, Elisabetta, Burattin, Andrea, Capurro, Daniel, Carmona, Josep, Comuzzi, Marco, Dalmas, Benjamin, Fuente, Rene de la, Francescomarino, Chiara Di, Ciccio, Claudio Di, Gatta, Roberto, Ghidini, Chiara, Gonzalez-Lopez, Fernanda, Ibanez-Sanchez, Gema, Klasky, Hilda B, Prima Kurniati, Angelina, Lu, Xixi, Mannhardt, Felix, Mans, Ronny, Marcos, Mar, Medeiros de Carvalho, Renata, Pegoraro, Marco, Poon, Simon K, Pufahl, Luise, Reijers, Hajo A, Remy, Simon, Rinderle-Ma, Stefanie, Sacchi, Lucia, Seoane, Fernando, Song, Minseok, Stefanini, Alessandro, Sulis, Emilio, Ter Hofstede, Arthur H M, Toussaint, Pieter J, Traver, Vicente, Valero-Ramon, Zoe, Weerd, Inge van de, van der Aalst, Wil M P, Vanwersch, Rob, Weske, Mathias, Wynn, Moe Thandar, Zerbato, Francesca, Sub Process Management and Analytics, Business Process Management and Analytics, Munoz-Gama, Jorge, Martin, Niels, Fernandez-Llatas, Carlos, Johnson, Owen A, Sepúlveda, Marcos, Helm, Emmanuel, Galvez-Yanjari, Victor, Rojas, Eric, Martinez-Millana, Antonio, Aloini, Davide, Amantea, Ilaria Angela, Andrews, Robert, Arias, Michael, Beerepoot, Iris, Benevento, Elisabetta, Burattin, Andrea, Capurro, Daniel, Carmona, Josep, Comuzzi, Marco, Dalmas, Benjamin, Fuente, Rene de la, Francescomarino, Chiara Di, Ciccio, Claudio Di, Gatta, Roberto, Ghidini, Chiara, Gonzalez-Lopez, Fernanda, Ibanez-Sanchez, Gema, Klasky, Hilda B, Prima Kurniati, Angelina, Lu, Xixi, Mannhardt, Felix, Mans, Ronny, Marcos, Mar, Medeiros de Carvalho, Renata, Pegoraro, Marco, Poon, Simon K, Pufahl, Luise, Reijers, Hajo A, Remy, Simon, Rinderle-Ma, Stefanie, Sacchi, Lucia, Seoane, Fernando, Song, Minseok, Stefanini, Alessandro, Sulis, Emilio, Ter Hofstede, Arthur H M, Toussaint, Pieter J, Traver, Vicente, Valero-Ramon, Zoe, Weerd, Inge van de, van der Aalst, Wil M P, Vanwersch, Rob, Weske, Mathias, Wynn, Moe Thandar, and Zerbato, Francesca

Published
2022

13. What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper

Author

Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, Gatta, Roberto, Vallati, Mauro, Fernández Llatas, Carlos, Martinez-Millana, Antonio, Orini, Stefania, Sacchi, Luccia, Lenkowicz, Jacopo, Marcos, Mar, Munoz-Gama, Jorge, Cuendet, Michel A., de Bari, Berardino, Marco-Ruiz, Luis, Stefanini, Alessandro, Valero Ramon, Zoe, Michielin, Olivier, Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, Gatta, Roberto, Vallati, Mauro, Fernández Llatas, Carlos, Martinez-Millana, Antonio, Orini, Stefania, Sacchi, Luccia, Lenkowicz, Jacopo, Marcos, Mar, Munoz-Gama, Jorge, Cuendet, Michel A., de Bari, Berardino, Marco-Ruiz, Luis, Stefanini, Alessandro, Valero Ramon, Zoe, and Michielin, Olivier

Abstract

[EN] In the age of Evidence-Based Medicine, Clinical Guidelines (CGs) are recognized to be an indispensable tool to support physicians in their daily clinical practice. Medical Informatics is expected to play a relevant role in facilitating diffusion and adoption of CGs. However, the past pioneering approaches, often fragmented in many disciplines, did not lead to solutions that are actually exploited in hospitals. Process Mining for Healthcare (PM4HC) is an emerging discipline gaining the interest of healthcare experts, and seems able to deal with many important issues in representing CGs. In this position paper, we briefly describe the story and the state-of-the-art of CGs, and the efforts and results of the past approaches of medical informatics. Then, we describe PM4HC, and we answer questions like how can PM4HC cope with this challenge? Which role does PM4HC play and which rules should be employed for the PM4HC scientific community?

Published
2020

14. Dynamic Models Supporting Personalised Chronic Disease Management through Healthcare Sensors with Interactive Process Mining

Author

Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, European Commission, Valero Ramon, Zoe, Fernández Llatas, Carlos, Valdivieso, Bernardo, Traver Salcedo, Vicente, Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, European Commission, Valero Ramon, Zoe, Fernández Llatas, Carlos, Valdivieso, Bernardo, and Traver Salcedo, Vicente

Abstract

[EN] Rich streams of continuous data are available through Smart Sensors representing a unique opportunity to develop and analyse risk models in healthcare and extract knowledge from data. There is a niche for developing new algorithms, and visualisation and decision support tools to assist health professionals in chronic disease management incorporating data generated through smart sensors in a more precise and personalised manner. However, current understanding of risk models relies on static snapshots of health variables or measures, rather than ongoing and dynamic feedback loops of behaviour, considering changes and different states of patients and diseases. The rationale of this work is to introduce a new method for discovering dynamic risk models for chronic diseases, based on patients¿ dynamic behaviour provided by health sensors, using Process Mining techniques. Results show the viability of this method, three dynamic models have been discovered for the chronic diseases hypertension, obesity, and diabetes, based on the dynamic behaviour of metabolic risk factors associated. This information would support health professionals to translate a one-fits-all current approach to treatments and care, to a personalised medicine strategy, that fits treatments built on patients¿ unique behaviour thanks to dynamic risk modelling taking advantage of the amount data generated by smart sensors.

Published
2020

16. What Role Can Process Mining Play in Recurrent Clinical Guidelines Issues? A Position Paper

Author

Gatta, Roberto, primary, Vallati, Mauro, additional, Fernandez-Llatas, Carlos, additional, Martinez-Millana, Antonio, additional, Orini, Stefania, additional, Sacchi, Lucia, additional, Lenkowicz, Jacopo, additional, Marcos, Mar, additional, Munoz-Gama, Jorge, additional, Cuendet, Michel A., additional, de Bari, Berardino, additional, Marco-Ruiz, Luis, additional, Stefanini, Alessandro, additional, Valero-Ramon, Zoe, additional, Michielin, Olivier, additional, Lapinskas, Tomas, additional, Montvila, Antanas, additional, Martin, Niels, additional, Tavazzi, Erica, additional, and Castellano, Maurizio, additional

Published
2020
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17. Toward Value-Based Healthcare through Interactive Process Mining in Emergency Rooms: The Stroke Case

Author

Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, Generalitat Valenciana, Consorci Hospital General Universitari de València, Comisión Nacional de Investigación Científica y Tecnológica, Chile, Ibáñez Sánchez, Gema, Fernández Llatas, Carlos, Martinez-Millana, Antonio, Celda, Angeles, Mandingorra, Jesus, Aparici-Tortajada, Lucía, Valero Ramon, Zoe, Munoz-Gama, Jorge, Sepúlveda, Marcos, Rojas, Eric, Gálvez, Víctor, Capurro, Daniel, Traver Salcedo, Vicente, Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica, Generalitat Valenciana, Consorci Hospital General Universitari de València, Comisión Nacional de Investigación Científica y Tecnológica, Chile, Ibáñez Sánchez, Gema, Fernández Llatas, Carlos, Martinez-Millana, Antonio, Celda, Angeles, Mandingorra, Jesus, Aparici-Tortajada, Lucía, Valero Ramon, Zoe, Munoz-Gama, Jorge, Sepúlveda, Marcos, Rojas, Eric, Gálvez, Víctor, Capurro, Daniel, and Traver Salcedo, Vicente

Abstract

[EN] The application of Value-based Healthcare requires not only the identification of key processes in the clinical domain but also an adequate analysis of the value chain delivered to the patient. Data Science and Big Data approaches are technologies that enable the creation of accurate systems that model reality. However, classical Data Mining techniques are presented by professionals as black boxes. This evokes a lack of trust in those techniques in the medical domain. Process Mining technologies are human-understandable Data Science tools that can fill this gap to support the application of Value-Based Healthcare in real domains. The aim of this paper is to perform an analysis of the ways in which Process Mining techniques can support health professionals in the application of Value-Based Technologies. For this purpose, we explored these techniques by analyzing emergency processes and applying the critical timing of Stroke treatment and a Question-Driven methodology. 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 2010 to June 2017. 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. Further, we show that support for health professionals can be provided by improving their understanding of these techniques and enhancing the quality of care.

Published
2019

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

Author

Ibanez-Sanchez, Gema, primary, Fernandez-Llatas, Carlos, additional, Martinez-Millana, Antonio, additional, Celda, Angeles, additional, Mandingorra, Jesus, additional, Aparici-Tortajada, Lucia, additional, Valero-Ramon, Zoe, additional, Munoz-Gama, Jorge, additional, Sepúlveda, Marcos, additional, Rojas, Eric, additional, Gálvez, Víctor, additional, Capurro, Daniel, additional, and Traver, Vicente, additional

Published
2019
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22. A Collective Intelligence Platform to Support Older Cancer Survivors: Towards the Definition of LifeChamps System and Big Data Reference Architecture.

Author

Valero-Ramon, Zoe, Louro, Pedro, Irio, Luis, Dimitriadis, Ilias, Poiitis, Marinos, Toliopoulos, Theodoros, Lagakis, Paraskevas, Petridis, Georgios, Papachristou, Nikolaos, Núñez-Benjumea, Francisco J., Hors-Fraile, Santiago, Vakali, Athena, Gounaris, Anastasios, Shapiro, Dany, Naranjo, Juan-Carlos, Levva, Sofia, Billis, Antonis, Traver, Vicente, and Bamidis, Panagiotis

Subjects
ARTIFICIAL intelligence, CONFERENCES & conventions, CANCER patients, QUALITY of life, DATA analytics
Abstract

Within the most recent years, most of the cancer patients are older age, which implies the necessity to a better understanding of aging and cancer connection. This work presents the LifeChamps solution built on top of cutting-edge Big Data architecture and HPC infrastructure concepts. An innovative architecture was envisioned supported by the Big Data Value Reference Model and answering the system requirements from high to low level and from logical to physical perspective, following the "4+1 architectural model". [ABSTRACT FROM AUTHOR]

Published
2021
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