The chronic pain treatment market represents a steadily growing, multi-billion-dollar industry. In the United States, about one in five adults suffer from chronic pain.
With such high demand, pharmaceutical and medical device companies developing chronic pain therapies might struggle to size their total addressable market and identify treatment-ready patients. After all, not all chronic pain patients will have the same pain type or diagnosis history.
Patients who have already exhausted available non-opioid-based neuropathic drugs for chronic back pain might not, for example, benefit from traditional NSAID pain relievers. These patients might instead benefit from medical device therapies like spinal cord stimulators or radiofrequency ablation devices.
Identifying and isolating those treatment-ready patients will not only help you advance your go-to-market strategy but will also help you ensure sales success. The question now is: how, exactly, do you identify patients who are ready for your drug or therapy, and where are they being treated?
In this blog, we’ll look at how pharmaceutical and medical device companies might use the Atlas Dataset to launch a new drug or therapy for patients experiencing chronic pain.
Understand your total addressable market
The first step in understanding your total addressable market is to identify and size the patient population within your given disease state. The Atlas Dataset delivers billions of de-identified medical claims across payors and care sites, at both the organizational and provider levels.
In the Atlas Dataset, you can search for patients who have been seen for a certain diagnosis, filled a particular prescription, undergone a specific procedure, or have visited a certain type of doctor or specialist.
You can access claims tagged by procedure, diagnosis, and billing codes (e.g., DRGs, CPTs, HCPCSs, ICD-10) and see details on both primary and secondary diagnosis.
With access to this volume of information, you can identify the total addressable market, create granular market segments of key providers, and predict demand for your product, solution, or therapy.
For example, you can search for patients who have been seen for chronic pain and have also received a steroid injection procedure for pain management.
Once you’ve populated your search terms, the Atlas Dataset pinpoints where those patients have sought treatment—all within your designated disease state and geographic area.
Target providers with treatment-ready patients
Now that you’ve identified your addressable patient market, it’s time to pinpoint the providers treating those patients. The Atlas Dataset uses your customized search to deliver a targeted set of providers with the greatest number of treatment-ready patients—efficiently bringing your innovation to the people who need it most.
Each provider profile lists the number of relevant patients within that physician’s care, the physician’s area of specialty, the name and address of their affiliated facility, and physician contact phone numbers and emails, where applicable.
Accessing this information means you can implement your sales strategy sooner by contacting physicians with the patients who will most benefit from your drug or device.
Additionally, the referral overview gives you a detailed breakdown of other referring physicians within a given provider’s market. This not only helps you identify related physicians within the same network or geographic area, but also helps you trace referral patterns throughout a certain area.
The overview also provides insight into competitors contending for physician referral share, which, in turn, expands your market understanding and widens your prospect pool.
Interested in learning more about how the Atlas Dataset and other products can help your organization’s go-to-market plans? Take a look at our blog about interpreting medical claims data with visual analytics to see how you can use these products to access healthcare commercial intelligence in a new way.