Data-Driven Insights

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: […]

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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 […]

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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. 

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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. 

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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.

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