Amplity Insights networks with various real-world evidence data sources to compile an unparalleled database of information, providing a unique perspective on patient conditions and provider interactions.
Our data serve as a supplemental source of powerful qualitative data not found elsewhere. The records offer an intimate view of the patient-provider interaction and provide valuable insights including:
The data contain much less bias than other sets, and Amplity Health receives data from academic hospitals, small hospitals, and clinics of all sizes. We are agnostic to electronic medical record (EMR) systems and insurance providers. Example use cases of the database include:
Amplity Insights provides clients with a unique data set that offers new insight into patient-provider interactions and a deeper understanding of provider-treatment rationale.
By leveraging Amplity Insights, in conjunction with our commercial solutions, the field sales teams benefit from increased insight into trends, while being armed with specific messaging to address competitive threats.
This data can be distributed by geographic region to illuminate current market dynamics. This gives you a real-world understanding of the WHY behind clinical decision-making and patient behaviors.
We provide detailed data regarding why patients may be discontinuing medication or if they are switching to a competing product.
During a new drug launch, our client wanted to understand prescribing trends and the effectiveness of awareness campaigns.
The following chart demonstrates how many times providers have mentioned 2 drugs over a set period of time. This is particularly powerful during drug launches or marketing campaigns as it captures a unique measurement of brand and efficacy awareness.
We can see that, over time, following the approval of Treatment B as a first-line treatment for multiple myeloma, the trend shows a reduction of Treatment A mentions and an increase in Treatment B mentions, suggesting some displacement of Treatment A market share.
Clinical decisions made by healthcare providers are dependent upon the evaluation of several key indicators.
Lab test results, imaging results, treatment efficacy, progression of disease, patient-reported symptomatology, and access to care may all play a role in driving treatment decisions.
However, these meaningful data endpoints are not readily captured in commercially available real-world structured databases such as claims or EMR. Amplity Insights is not dependent upon billable events that are captured by charge codes submitted to payors for reimbursement.
Using our proprietary Natural Language Processing (NLP) algorithms, meaningful data endpoints may be quickly extracted and evaluated for specific research questions. Leveraging this rich source of patient-level data, researchers are able to glean insights related to the true prevalence of disease, treatment patterns, rationale for treatment, and patient-reported outcomes.
See how our data was used to understand if the prevalence of
hypoglycemia might be underreported in other medical data sources.
Click the button below for excerpts from a peer-reviewed publication.View use case