RLS Reveal's insights provide you with a complete look at what patients are going through with consideration of real-world obstacles that impact the patient experience for a given disease state.
RLS Reveal's novel SPEC-F Framework identifies disease factors impacting patients, caregivers, and healthcare providers. The SPEC-F framework categorizes all of the reported impairments and structures social media narratives in a user friendly view that enables you to make decisions.
SPECF Symptom and Impairment Modeling:
RLS Reveal provides a clear view of how patients, caregivers and healthcare providers are feeling about the therapeutic options available to them. Reveal's models find key insights on specific drugs of interest.
The solution provides meaningful insights and detailed findings such as:
RLS Reveal evaluates the healthcare providers' perspectives to create a view of the patient journey.
Healthcare outcomes include:
SPEC-F is a proprietary analytical framework developed by Real Life Sciences designed to categorize functional impairments and symptoms from unstructured patient, caregiver, and health care provider narratives. These classifications include Social, Physical, Emotional, Cognitive and Financial categories.
The SPEC-F framework is built on curated taxonomies that are used to codify and structure patient and stakeholder narratives.
This a priori classification provides a mechanism to:
Real Life Sciences worked with a variety of persona's previously to answer a wide variety of questions for them. Examples include but are not limited to discovery and development, clinical operations, outcomes research, pharmacovigilance, medical affairs, market research and market access.
We use patient forums and any non password protected sites. This includes: - General social media (for example: twitter, reddit) - General health forums - General health social networks - Treatment review websites
When it comes to real world social media data solutions, all are not created the same. Social media listening is commonly used but comes up short. The key is to have the best data and this doesn’t cut it. RLS Reveal is not only able to "listen" to what is happening on social media, but we are able to structure all of these key opinions and produce outputs that can be actionable for your team.
Real Life Sciences also specializes in clinical trial disclosure and transparency. Our solution RLS Protect anonymizes trial participant data. We use this same technology to protect sensitive information in Social Media Posts
Our Natural Language processing has been trained for over 6 years. Utilizing machine learning and AI to continually improve - Noise elimination for clean accurate data - Identification of patient journey trends, perceptions and behaviors - And the use of purpose built insights driving better outcomes.
Using RLS Reveal organizations have be able to:
- Uncover antihistamines as a treatment for bone pain side effects in cancer patients leading to antihistamine’s becoming a standard of care.
- We helped Identified the number of diabetic patients splitting insulin doses discovering over $35M in lost revenues guiding our sponsor to make strategic changes to combat losses.
- We uncovered anxiety among other emotional unmet needs facing Alzheimer’s patients leading to improved screening tools and diagnostics that more accurately cover patients needs.
RLS Reveal's outputs are purpose built and specific to you! You ask us your key questions and we will address them and give you valuable and applicable insights.
RLS Reveal was created to amplify the patient voice. We are passionate about improve the quality of patient lives, enabling medications to truly address patient needs, and enabling the patient journey to guide drug development. By helping uncover what patients are saying we learn more about what they are struggling with, appreciating, and questioning. Being able to bring drug development back to the patient is extremely powerful in having medications that impact patient lives for the better.