Posts for tag: Patient Journey Analytics
July 12, 2019 | Brandon Underwood
The quality of status and sub-status data reported by SPs is an ongoing challenge that limits the actionability of data specialty brands have contracted to receive. Clearly, poor data quality limits the level of insights that analytics can surface for key stakeholders. Simply cleansing and stewarding Cancellation reasons unlocks tremendous value in understanding why patients are abandoning scripts.
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Tags: Canellations, Field Reimbursement, Fill Rate, patient journey, Patient Journey Analytics, Patient Services, Specialty Patient Status Data, Time to First Fill
February 7, 2019 | Brandon Underwood
Without visibility into each individual patient journey, your specialty brand cannot consistently intervene to help patients overcome barriers to therapy initiation and adherence. Today, the poor quality of specialty patient status data is making it impossible to calculate accurate KPI metrics and uncover true patient journey insights. This blog post examines in detail three critical patient status data quality challenges and recommends solutions your specialty brand can implement to overcome these challenges, and ultimately, help patients start therapy faster and stay on therapy longer.
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Tags: patient journey, Patient Journey Analytics, Patient Journey Modeling, Specialty Data Aggregation, Specialty Patient Status Data
December 10, 2018 | Brandon Underwood
An effective specialty data contracting strategy starts at the finish line and works backward. The decisions made in terms of data fields, sub-status granularity, reporting frequency, and contact language, determine the metric outputs that are possible. This post looks at how the right specialty data contracting decisions enable diagnostic patient journey insights that help specialty brands save patient days of therapy.
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Tags: patient journey, Patient Journey Analytics, Specialty Data Aggregation, Specialty Data Contracting, Specialty Patient Status Data
