Using Prediction to Improve Patient Flow in a Health Care Delivery Chain
Often, in a health care delivery chain, lack of coordination has been detrimental to timely, high quality care. This paper focuses on the two steps of the hospital health care delivery chain, an emergency department and a hospital’s inpatient units. Past research into this chain has suggested t...
| Main Authors: | , , , , |
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| Format: | Technical report |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/84017 |
| Summary: | Often, in a health care delivery chain, lack of
coordination has been detrimental to timely, high quality
care. This paper focuses on the two steps of the hospital
health care delivery chain, an emergency department and a
hospital’s inpatient units. Past research into this chain has
suggested that early prediction of patient need for
admission can be used to better align flow between the two
departments. This chain and the nature of prediction in
health care delivery are discussed as well as a how
prediction may be useful in this context. Finally tools for
making admission predictions are tested and their possible
implications are explored. The results of this exploration
show that both expert opinion and a Naïve Bayesian
statistical approach have predictive value in this context. |
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