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Solutions

Launching a new treatment or a healthcare service may be tricky. Just because it is a tough grind to reach out to right patients and to get actionable insights on their real experience. It’s not enough to rely on the assessments of individual opinion leaders or focus groups when it comes to the perception of treatment value proposition by all those involved, from patients to decision makers. Luckily, there is a database with 5+ billion people who frankly discuss what really concerns them: the Web.

We'll help you to

Embrace the whole landscape of a new market in the cost-effective way

Successfully translate the language of patients to a clinical one – and vice versa

Get the "reality check" of the current state of affairs in a condition from the vantage point of direct participants. Millions of them

Gather first-hand unsolicited testimonies, not being driven by socially desirable responding or researcher bias

Deeper understand patient journey and optimize it through a win-win strategy

Transform insights into actions to meet your business imperatives in challenging patient segments

Trusted by leading pharmaceutical companies:

Our products

Patient journey analysis

Patient journey and unmet needs analysis: using AI, we analyse available sources in the country to obtain data on patient journey (incl. medical and non-medical aspects: disease onset, comorbidities, diagnostic experience, access-related issues and so on), unmet needs, quality of life, burden, etc. A detailed Web-based report is prepared together with an executive summary and patient engagement tips

Product differentiation

Treatment experience analysis for product differentiation: structured patient experience and market intelligence report is compiled that reflects patients’ and caregivers’ expectations, satisfaction with available treatment options, drivers and barriers for treatment choice, adherence and switch – together with takeaways regarding your treatment value proposition

Stakeholder mapping

Stakeholder mapping covers patient opinion leaders, bloggers, NGOs, celebrities, PAGs, centres of excellence, medical experts whose activities relate to the indication and the geography of interest. Proprietary methodology is applied to assess influencers' potential in raising awareness and market preparation

Patient segmentation

Patient segmentation, infodemiology assessment and symptom journey analysis provide a wide range of meaningful data: from age (e.g. paediatric vs adult population), gender and geographical distribution to disease manifestations and their degrees (from mild to severe)

Profiling

Patient / caregiver / HCP profiling algorithms systematise knowledge about the audience’s’ values, habits and behavioral patterns which may affect their decisions and attitude towards the disease, diagnostics, treatment. Such profiling is also used to develop awareness and navigation campaigns, as well as in educational activities

Language samples

Patient language samples: our AI reads and analyses language used by patients (metaphors, layman terms, colloquial descriptions of symptoms). These samples can be used when preparing awareness campaigns or disproving popular myths or misperceptions, as well as developing educational materials for HCPs

Early detection

Early detection of mis- and undiagnosed patients: full-scale AI-based screening of the Web is carried out to detect the stories of undiagnosed patients based on their symptoms and case history, to build the anonymised database of such cases, and to navigate patients to diagnostics

Recruitment to clinical trials

Recruitment to clinical trials: potentially eligible patients are detected and selected for further analysis taking into account inclusion and exclusion criteria; through a number of steps, the funnel becomes narrower which allows identifying eligible patients and navigating them to trial sites for the enrollment

Engagement and education

Educational and patient engagement activities include trainings in AI adjusted to the needs of various stakeholders across healthcare systems, evidence-based awareness campaigns we carry out, the support and acceleration of patient advocacy groups, and other tailor-made solutions for our partners

Patient journey analysis

Product differentiation

Stakeholder mapping

Patient segmentation

Profiling

Language samples

Early detection

Recruitment to clinical trials

Engagement and education

Methodology

We support our global partners in their key decision-making processes with the use of our proprietary AI platform, leveraging Natural Language Processing (semantic analysis) and Big Text Data. Our AI collects and analyses millions of documents in any language on the desired topic in 3 steps.

Detection and analysis of data take place in three consecutive steps:

Step 1

Internet screening is carried out to detect stories related to conditions, symptoms or treatments of interest that are organised in an anonymised database for further detailed analysis

Step 2

The collected texts are processed using deep semantic analysis and transformed into structured “knowledge graphs”, meaningful information is extracted

Step 3

The extracted graphs are merged into a knowledge base, then traditional tools of biostatistics and visualization are applied to build infographics and shape conclusions

Our unique software provides you with:

Semantic analysis of highly unstructured texts (based on meaning, not keywords)

Compliant tools to reach your business objectives

Deep dive into local culture, as well as cross-cultural environments and diverse ecosystems

Access to any challenging segments incl. ultra-rare disease patients, minorities, those keeping low profile

Compliance and data privacy

At Semantic Hub, we understand the importance of data privacy and compliance with applicable laws and regulations. Our Big Data analysis is fully compliant with data privacy legislation, including GDPR. We adhere to strict data protection standards and have implemented robust technical and organizational measures to safeguard personal data. We have completed an evidence-based assessment with Cybervadis platform to prove our commitment to data privacy.