Identification of factors associated with Nursing Home and Community Hospital Referrals using Association Rule Mining
Applied/Translational Research
Care Continuum
Singapore Health Biomedical Congress
National Healthcare Group
31 December 2023
To identify underlying factors associated with NH and CH referrals using Association Rule Mining (ARM). ARM facilitates better resource preparation and reduces unnecessary hospital stays for referred patients.
Year Submitted: 2023
Published Date: 31 December 2023
Tags: Applied/Translational Research, Care Continuum, Quantitative Research, Intermediate and Long Term Care ＆ Community Care, Nursing Home Care, Right-Siting
About this Content
Aims
To identify underlying factors associated with NH and CH referrals using Association Rule Mining (ARM).
Background
NH/CH referrals often result in longer hospital stays; early identification can improve patient outcomes.
Methods
ARM identified significant factors such as demographics, medical, and psychosocial features from inpatient cases.
Results
Significant predictors include psychiatric issues, MRSA-positive status, and social determinants such as rental flat living.
Conclusion
ARM facilitates better resource preparation and reduces unnecessary hospital stays for referred patients.
Lessons Learnt
Association Rule Mining is effective for uncovering patterns and optimizing referral decisions.
Additional Information
SHBC 2023 Young Investigator Award (Silver)
Keywords
NH Referrals, CH Referrals, ARM
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | National Healthcare Group |
Organization(s) Involved | Tan Tock Seng Hospital |
Platform(s) | Singapore Health Biomedical Congress |
Healthcare Professional Group(s) | Ancillary Care, Healthcare Administration, Nursing, Medical |
Applicable Specialty or Discipline | Medical Social Workers, Psychology, Psychiatry, Infectious Diseases, Orthopaedics |
Project Lead(s) | Yong Sheng Heng |
Project Member(s) | Xiaojin Zhang |
Connect with this contributor!
Yong Sheng Heng - yong_sheng_heng1@ttsh.com.sg