Comparison of predictive modeling approaches for 30-day all-cause non-elective readmission risk

@inproceedings{Tong2016ComparisonOP,
  title={Comparison of predictive modeling approaches for 30-day all-cause non-elective readmission risk},
  author={Liping Tong and Cole Erdmann and Marina C Daldalian and Jing Li and Tina Esposito},
  booktitle={BMC Medical Research Methodology},
  year={2016}
}
BackgroundThis paper explores the importance of electronic medical records (EMR) for predicting 30-day all-cause non-elective readmission risk of patients and presents a comparison of prediction performance of commonly used methods.MethodsThe data are extracted from eight Advocate Health Care hospitals. Index admissions are excluded from the cohort if they are observation, inpatient admissions for psychiatry, skilled nursing, hospice, rehabilitation, maternal and newborn visits, or if the… CONTINUE READING
BETA
12
Twitter Mentions

Citations

Publications citing this paper.
SHOWING 1-9 OF 9 CITATIONS

A Risk Assessment Tool for Identifying Pregnant and Postpartum Women Who May Benefit From Preexposure Prophylaxis.

  • Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
  • 2016
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 29 REFERENCES

Patient Factors Predictive of Hospital Readmissions Within 30 Days.

  • Journal for healthcare quality : official publication of the National Association for Healthcare Quality
  • 2016
VIEW 1 EXCERPT

Preventable Readmission Risk Factors for Patients With Chronic Conditions.

  • Journal for healthcare quality : official publication of the National Association for Healthcare Quality
  • 2016
VIEW 1 EXCERPT

Similar Papers