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Using External Data to Identify Myasthenia Gravis Experts for a New Product Launch

2025-07-08

Abstract:

MeDomino used external HCP data and AI-based mindset analysis to identify myasthenia gravis experts and early adopters for launch promotion.

A global innovative biopharmaceutical company was preparing to launch a new therapy for myasthenia gravis, but lacked internal data to identify key physicians in the field. Based on the company's needs, MeDomino used external HCP data to identify myasthenia gravis experts, build a physician tag system, and support new product launch promotion.


Requirement Breakdown

1. Identify 5,000 physicians nationwide specializing in myasthenia gravis and quantify their professional influence.

2. Locate profile data for 2,000 experts based on business needs.

3. Build a tag system and identify early adopters for the target drug in this field.

4. Complete physician segmentation based on tag system data.

5. Empower sales visits through sales-side SaaS tools.


Solution

Step 1: Physician Database Screening

Using MeDomino's database of nearly four million physicians, combined with the pharma company's specific business needs such as key departments and target hospitals covered, we delivered a high-usability list of 5,000 HCPs.

Step 2: Physician Profile Construction

From the list, 2,000 physician experts with rich data and from key hospitals recognized by the client were selected for profile construction.

Step 3: AI Analysis of Physician Mindsets

Large AI models were used to analyze physicians' external data and judge target physicians' views on the target drug and competing products:

Physicians willing to actively participate in clinical trials, recommend the drug to patients, or produce related articles before and during early launch were identified as early adopters.

Step 4: Sales Enablement

Physician profile data and physician segmentation results were presented on the sales mobile app to empower sales visits.


Business Value

Physician Identification

Before new product launch, external data quickly located high-potential physicians and provided a data foundation for rational allocation of market resources.

While evaluating physicians' overall academic influence, the identification list also incorporated business factors such as target hospitals covered and whether the target disease appeared in a physician's top 10 research fields, ensuring that the results were usable.

Physician Profiles

Physician profiles built from external data provided sales teams with comprehensive physician information, improving visit preparation and visit outcomes. For example, teams could view physician collaboration with competing products or use relationship networks to connect from reached physicians to new potential physicians.

AI was used to process and analyze physician profile data, identify physician mindsets, further locate early adopters, clarify visit priority, and optimize market resource allocation.


Conclusion

MeDomino precisely identified myasthenia gravis experts through external HCP data, helping a global innovative biopharmaceutical company build a complete physician tag system, refine physician classification and management, and use AI to analyze physician mindsets, identify early adopters, optimize resource allocation, and improve post-launch market promotion efficiency.


P.S. This case study has been desensitized. For more details, please click the button to apply for a product demo or trial.

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