October 26, 2020 | Mia Scioscia GTN Analytics: Improve Visibility and Predictability of Your Forecasting and Accrual Processes Our latest ICyte advancement is all about achieving a unified platform vision for market access. GTN Analytics compliments IntegriChain’s GTN Accruals and GTN Forecasting solutions by delivering insights and uniquely integrating financial data with channel and patient data; including national demand, third-party logistics, specialty pharmacy, specialty distribution, and rebate data. This will help consolidate and improve the analytics experience for both Managed Services and SaaS users while seamlessly integrating into the patient and channel components of the ICyte platform. The recent addition of GTN Analytics will improve the accuracy and predictability of accruals and forecasts through the following key components: […] Read More
October 15, 2020 | Mia Scioscia Advisory Market Update – October 2020 Stay up-to-date with relevant, timely industry insights and regulatory updates that may impact pharmaceutical manufacturers. Read More
September 17, 2020 | Mia Scioscia Advisory Market Update – September 2020 Stay up-to-date with relevant, timely industry insights and regulatory updates that may impact pharmaceutical manufacturers. Read More
August 11, 2020 | Mia Scioscia Advisory Market Update – August 2020 Stay up-to-date with relevant, timely industry insights and regulatory updates that may impact pharmaceutical manufacturers. Read More
July 27, 2020 | Mia Scioscia Real-Time Data Insights and Actionability All in Single Access-Specific Platform What’s New in the Latest ICyte Release The latest ICyte Platform Summer Release is all about data actionability. We’ve now made it easier than ever to provide better, deeper visibility into your data within our single access platform so you can proactively simplify your everyday tasks and spend less time dealing with data quality. Here are the 5 enhancements we’re most excited about: Data Aggregation & Stewardship IntegriChain’s Patient Data Aggregation delivers services data integration that enables field reimbursement teams to triage patient access barriers by integrating patient initiation services and specialty pharmacy data – including reimbursement support patient case […] Read More
July 22, 2020 | Mia Scioscia Advisory Market Update – July 2020 Stay up-to-date with relevant, timely industry insights and regulatory updates that may impact pharmaceutical manufacturers. Read More
June 19, 2020 | Mia Scioscia Advisory Market Update – June 2020 Stay up-to-date with relevant, timely industry insights and regulatory updates that may impact pharmaceutical manufacturers. Read More
June 10, 2020 | integrichain The Four Challenge Cases in Patient Data Mastering IntegriChain is utilizing AI and machine learning to develop risk score models that will allow Field Reimbursement Managers (FRMs) and similar functions to proactively intervene on behalf of patients who are likely to experience roadblocks in their journey -- before the roadblocks occur. Predictive patient journey analytics look at analog patient cases and outcomes to understand the likelihood of a new referral experiencing an issue such as lengthy time stalled in prior authorization and appeal. These actionable insights allow an FRM to prioritize potentially challenging patient cases and work to resolve the anticipated roadblock. Read More Tags: patient journey, Patient Journey Analytics, Patient Risk Score, Patient Services, Predictive Analytics, Specialty Patient Status Data
August 15, 2019 | Lucas Dan Utilizing AI and Machine Learning to Predict Challenging Patient Cases IntegriChain is utilizing AI and machine learning to develop risk score models that will allow Field Reimbursement Managers (FRMs) and similar functions to proactively intervene on behalf of patients who are likely to experience roadblocks in their journey -- before the roadblocks occur. Predictive patient journey analytics look at analog patient cases and outcomes to understand the likelihood of a new referral experiencing an issue such as lengthy time stalled in prior authorization and appeal. These actionable insights allow an FRM to prioritize potentially challenging patient cases and work to resolve the anticipated roadblock. Read More Tags: Field Reimbursement, Fill Rate, Machine learning, patient journey, Patient Journey Analytics, Patient Risk Score, Patient Services, Predictive Analytics, Specialty Patient Status Data, Time to First Fill
July 12, 2019 | Brandon Underwood Cancellation Reasons Highlight the Opportunity to Proactively Support Stalled Patient Cases 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. Read More Tags: Canellations, Field Reimbursement, Fill Rate, patient journey, Patient Journey Analytics, Patient Services, Specialty Patient Status Data, Time to First Fill
