Implementation and Evaluation of a Prior Authorization Workflow for New-Start Inpatient Medications in Preparation for Discharge

Link to article at PubMed

Hosp Pharm. 2023 Apr;58(2):188-193. doi: 10.1177/00185787221127610. Epub 2022 Oct 2.

ABSTRACT

Purpose: Medications that require prior authorization can complicate the discharge planning process. This study implemented and evaluated a process for identifying and completing prior authorizations during the inpatient setting prior to patient discharge. Methods: A patient identification tool was developed within the electronic health record to alert the patient care resource manager of inpatient orders for targeted medications that frequently require prior authorization with the potential to delay discharge. A workflow process using the identification tool and flowsheet documentation was developed to prompt the initiation of a prior authorization, if necessary. Following hospital-wide implementation, descriptive data for a 2-month period was collected. Results: The tool detected 1353 medications for 1096 patient encounters over the 2-month period. The most frequent medications identified included apixaban (28.1%), enoxaparin (14.4%), sacubitril/valsartan (6.4%), and darbepoetin (6.4%). For the medications identified, there were 93 medications documented in the flowsheet data for 91 unique patient encounters. Of the 93 medications documented, 30% did not require prior authorization, 29% had prior authorization started, 10% were for patients discharged to a facility, 3% were for home medications, 3% were medications discontinued at discharge, 1% had prior authorization denied, and 24% had missing data. The most frequent medications documented in the flowsheet included apixaban (12%), enoxaparin (10%), and rifaximin (20%). Of the 28 prior authorizations processed, 2 led to a referral to the Medication Assistance Program. Conclusion: The implementation of an identification tool and documentation process can help improve PA workflow and discharge care coordination.

PMID:36890956 | PMC:PMC9986573 | DOI:10.1177/00185787221127610

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