Adding Laboratory Data to Hospital Claims Data to Improve Risk Adjustment of Inpatient/30-Day Postdischarge Outcomes

Numerical laboratory data at admission have been proposed for enhancement of inpatient predictive modeling from administrative claims. In this study, predictive models for inpatient/30-day postdischarge mortality and for risk-adjusted prolonged length of stay, as a surrogate for severe inpatient com...

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Veröffentlicht in:	American journal of medical quality 2017-03, Vol.32 (2), p.141-147
Hauptverfasser:	Pine, Michael, Fry, Donald E., Hannan, Edward L., Naessens, James M., Whitman, Kay, Reband, Agnes, Qian, Feng, Schindler, Joseph, Sonneborn, Mark, Roland, Jaclyn, Hyde, Linda, Dennison, Barbara A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Administrative Claims, Healthcare Coronary Artery Bypass - statistics & numerical data Heart Failure - therapy Hospital Mortality Hospitalization - statistics & numerical data Humans Laboratories, Hospital - statistics & numerical data Length of Stay Myocardial Infarction - therapy Outcome and Process Assessment (Health Care) Patient Discharge - statistics & numerical data Percutaneous Coronary Intervention - statistics & numerical data Risk Adjustment - methods Treatment Outcome
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