Real World KOL Mapping.
We accomplish with the key opinion leaders mapping process following these steps:
Step 1: Project Definition (topics identification and scope based on our discussion with the client)
- Definition of category/topic, subcategories/subtopics.
- Definition of subject matter experts (SME) by geograpich area/expertise area/sub-expertise area.
Stage 2: Application of Machine learning (ML) and natural language processing (NLP) proceedings for identifying topics and subtopics (data collection)
- Search strategy construction according to the different scientific data sources requirement (including grey literature sources), selected scientific website and scientific social networks
Stage 3: Data Analysis
- Data integration: results of multiple data sources are integrated. Then, relevant data is filtered in order to make the initial database.
- Data is augmentation and processing.
- Data analysis, distillation and clustering: Using machine learning techniques and other methods, data is cleaned, standardized and structured (clustering, normalization and indexing process).
Stage 4: Key opinion leaders (KOL) identification based on topics on interests
- Scientific KOL identification I (only based on clusters of scientific data)
- Scientific KOL identification II (only based on clusters of social networks/websites)
- Real world evidence KOL (scientific + social networks/websites)
In all cases we develop:
- Analysis KOL’s level of influence and connections
- Stratification of KOLs based on their geographic location, area/sub-area of expertise, and level of influence (scoring system).
- Continuous monitor and update the KOL mapping project to ensure that it remains relevant and up-to-date
Use advanced analytics and visualization tools (design the user interface or the web-based program) to examine the data and connection of identified KOLs.
