Healthcare
❯
Real-Time Patient Triage
❯Hospital Patient Management
❯Generation of clinical pathways
Hospital management tools
For:
Hospital administrator
Scope:
Temporal data mining, visualization
Goal:
Improve Operation Efficiency
Generation of clinical pathways
For:
Nursing staff
Scope:
Decision tree, clustering
Goal:
Improve Operation Efficiency
Machine-learning based triage to determine low-severity patients that can be fast-tracked to admission in ED due to their short discharge length
For:
Emergency Departments in hospitals.
Goal:
Improved Employee Efficiency
Discharge summary classifier
For:
Medical staff
Scope:
Decision tree, random forest, SVM, BNN, deep learning
Goal:
Improve Operation Efficiency
Real-time patient support and medical information service applying spoken dialogue system
For:
Dentist
Hospital
Scope:
Medical business support system using artificial intelligence-based human-
computer interface technology.
Goal:
Other
Generation of clinical pathways
For:
Nursing staffGoal:
Improve Operation EfficiencyProblem addressed
Nursing clinical pathway
Scope of use case
Decision tree, clustering
Description
This system proposes a temporal data mining method to
construct and maintain a clinical pathway used for schedule
management of clinical care. Since the log data of clinical
actions and plans are stored in a hospital information
system, these histories give temporal and procedural
information about treatment. The method consists of the
following four steps:
First, histories of nursing orders are extracted from the
hospital information system. Second, orders are classified
into several groups by using clustering and
multidimensional scaling methods. Third, by using the
information on groups, feature selection is applied to the
data and important features for classification are extracted.
Finally, original temporal data are split into several groups
and the first step is repeated. After the grouping results are
stable, a new pathway is constructed based on the induced
results.