[HTML][HTML] Machine learning approaches for the discovery of clinical pathways from patient data: A systematic review
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 …
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 …
need to move from the classical approach of measuring key performance indicators (KPIs) to …
Turning logs into lumber: preprocessing tasks in process mining
Event logs are invaluable for conducting process mining projects, offering insights into
process improvement and data-driven decision-making. However, data quality issues affect …
process improvement and data-driven decision-making. However, data quality issues affect …
From Process Mining Insights to Process Improvement: All Talk and No Action?
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 …
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
Background Health economic evaluations require cost data as a key input, and
reimbursement policies and systems should incentivize valuable care. Subfertility is a …
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 …
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
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 …
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 …
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
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 …
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 …
flow within emergency departments (EDs). However, this advancement is accompanied by a …