Over the last decade, most pharmaceutical companies have leveraged traditional patient data (such as medical claims and prescription data) to inform their brand strategy and tactical execution. Given the growing challenges to identify brand-eligible patients earlier in the patient journey, pharma teams recognize the limitations of latent real-world data (RWD) sources in reaching physicians at the most appropriate time, or planning the right strategy for product launch.
Now you can reap the benefits of the largest registry of lab records in the industry. We’ve guided many of the world’s best-known pharmaceutical teams to better understand their markets, improve their educational and promotional strategy, and fine tune their tactical execution in the most expedient way.
Unlike other vendors that rely on traditional sources of patient data (such as medical claims, unstructured lab data, and prescription data) or pharma data aggregators, Prognos is the only company with pharma solutions yielding Clinical Truths from continuously aggregated lab-testing results from national, regional, hospital, and premier educational institutions. Our experts harmonize, normalize, enrich, interpret, and analyze clinical information on a platform powered by AI and machine learning to deliver timely insights. This empowers earlier, data-driven intervention so patients have a better chance for better outcomes.
What are Prognos Clinical Truths?
Our data scientists and domain experts have been studying the patterns of broad, rare, and oncology patients over time and have derived profiles, or Clinical Truths, which can accelerate your commercial program by targeting the most relevant physicians and patients who may benefit from your brand.
The Importance of Lab Testing
Prognos has a strategic focus on lab-testing results, because they are such an important tool in healthcare. Those results are used daily by physicians and HCPs as they assess their patients’ health and decide on a particular therapy. Specifically, lab testing data is used to:
- Confirm or rule out a suspected diagnosis
- Monitor disease control or progression
- Identify the presence or absence of certain biomarkers to guide drug selection
- Ensure therapies are being well-tolerated