[HTML][HTML] Machine learning approaches for the discovery of clinical pathways from patient data: A systematic review

L Muyama, A Neuraz, A Coulet - Journal of Biomedical Informatics, 2024 - Elsevier
Background: Clinical pathways are sequences of events followed during the clinical care of
a group of patients who meet pre-defined criteria. They have many applications ranging from …

Identifying potential predictable indicators for the management of tertiary hospitals

Y Cossio‐Gil, FJ Pérez‐Sádaba… - … Journal of Health …, 2024 - Wiley Online Library
Abstract Background The European University Hospitals Alliance (EUHA) recognises the
need to move from the classical approach of measuring key performance indicators (KPIs) to …

Turning logs into lumber: preprocessing tasks in process mining

Y Liu, V Stein Dani, I Beerepoot, X Lu - International Conference on …, 2023 - Springer
Event logs are invaluable for conducting process mining projects, offering insights into
process improvement and data-driven decision-making. However, data quality issues affect …

From Process Mining Insights to Process Improvement: All Talk and No Action?

V Stein Dani, H Leopold, JMEM van der Werf… - International Conference …, 2024 - Springer
Organizations from various domains use process mining to better understand, analyze, and
improve their business processes. While the overall value of process mining has been …

Patient-level cost analysis of subfertility pathways in the Dutch healthcare system

M Leusder, HJ van Elten, K Ahaus… - The European Journal of …, 2024 - Springer
Background Health economic evaluations require cost data as a key input, and
reimbursement policies and systems should incentivize valuable care. Subfertility is a …

Patient-Reported Satisfaction, Experiences, and Preferences: Same but Different?

A Mühlbacher, E Stolk - Value in Health, 2023 - valueinhealthjournal.com
The use of patient-reported measures in routine clinical settings is rapidly expanding
because many healthcare systems are moving toward patient-centered care. This is a result …

From Loss of Interest to Denial: A Study on the Terminators of Process Mining Initiatives

V Stein Dani, H Leopold, JMEM van der Werf… - International Conference …, 2024 - Springer
Process mining has been used to obtain insights into work processes in various industries.
While there is plenty of evidence that process mining has helped a number of organizations …

Data-Driven Approaches to Hospital Capacity Planning and Management

S Turgay, ÖF Özçelik - Information and Knowledge …, 2023 - clausiuspress.com
Data-driven approaches to hospital capacity planning and management involve using
historical and real-time data to identify patterns and trends in patient demand, resource …

Markov chains in the improvement of hospital patient flows: a bibliometric analysis

Y Sánchez-Suárez, M Marqués-León… - Revista Médica …, 2024 - scielo.sld.cu
Introducción: La gestión de flujos de pacientes influye en el rendimiento hospitalario. Para
su modelación, se implementan las cadenas de Markov que contribuyen a planificar la …

AI-Driven Emergency Patient Flow Optimization is Both an Unmissable Opportunity and a Risk of Systematizing Health Disparities

D Russon, M Avalos, A Guerra-Adames… - 37th International …, 2024 - inria.hal.science
There is a burgeoning interest in harnessing artificial intelligence (AI) to enhance patient
flow within emergency departments (EDs). However, this advancement is accompanied by a …