The Challenge of Evolving Cancer Care
The dynamics of cancer care frequently translate into the inefficient use of resources without improving outcomes. In addition, the collection of data necessary to create effective workflows and actionable strategies is a daunting task. These factors create a challenging environment to deliver value-based care.
Our goal of enabling community oncology practices to engage in population management and perform at their peak abilities is underlined by our constant innovation and refinement of workflows and reporting through analytics. We deliver in-depth analysis of oncology data from a range of sources and balance it against each individual practice to provide a constantly evolving strategy.
Treatment Projection Model
Data graphing and analytics helps identify a patient’s treatment plan and plot how it can be better managed successfully for all parties
This unexpected peak of $25k spent on Opdivo tells us the patient may have received a dose of 960mg. Since this is double the standard dosage it could reflect a billing error.
End of first line Opdivo treatment. A subsequent code will tell us if the patient attained remission or continued treatment.
A high dose of Yervoy following Opdivo reflects a known treatment pathway. We should expect to see this pattern for 2-3 months with costs in the $25-$28k range.
There is no more patient data in the dataset after this date, indicating that the patient achieved re- mission or passed away. Remission would be indicated by further office visit codes in the dataset.