title: Implementing a predictive modeling program, part 1.
abstract: Effective predictive modeling is a powerful, statistically valid tool, which identifies individuals at increased future risk of an untoward health event. This article looks at one company's experience in developing a successful program; the issues related to an effective implementation strategy; and lessons learned during the process. The goal is to implement the right intervention, at the right time, for the right patient.
authors.affiliation: Health Services at the Presbyterian Health Plan, Albuquerque, NM 87125, USA.
authors.forename: Jean
authors.initials: J
authors.lastname: Calhoun
authors.forename: Kaye
authors.initials: K
authors.lastname: Admire
authors.forename: Paula
authors.initials: P
authors.lastname: Casey
mesh_terms: D000465:Algorithms; D019090:Case Management / Q000458:organization & administration*; D002755:Choice Behavior; D003191:Comprehensive Health Care / Q000458:organization & administration; D003266:Continuity of Patient Care; D003663:Decision Trees; D003953:Diagnosis-Related Groups / Q000458:organization & administration; D017050:Episode of Care; D005544:Forecasting; D006801:Humans; D008960:Models, Psychological; D015233:Models, Statistical; D020380:Needs Assessment / Q000458:organization & administration*; D009730:Nursing Assessment / Q000458:organization & administration; D010358:Patient Participation; D011237:Predictive Value of Tests; D016730:Program Development; D018570:Risk Assessment / Q000458:organization & administration*