Unlocking Insights
in Mental Health
Mental Health Dataset Insights
Our dataset° provides valuable insights into mental health, including but not limited to:
+1100
Estimated N MDD* Patients
28%
% MDD patients with hospitalization
121
Endpoints
Most frequent symptoms of an MDD patient
- Drug dependence
- Dyssomnias
- Headache
32%
% MDD patients with anxiety disorder in psychiatric history
59%
% female MDD patients
61%
% MDD patients >50 years
*MDD: Major Depressive Disorder
Mental health encompasses a broad range of conditions. These insights are specific for Major Depressive Disorder (MDD). LynxCare dataset insights into other mental health conditions are to be requested.
Closing the Gap
The Value of Unstructured Data in the Mental Health Pathway
Key to Mental Health Insights
In mental health, crucial patient information lies in unstructured clinical notes, capturing nuanced details like mood, behavior, thought patterns, treatment response, and adverse events. Structured data often misses patient-reported experiences or clinician observations. Using NLP to analyze unstructured data enables insights into symptom progression, relapse, medication tolerability, and rare side effects, enhancing diagnoses, treatment safety, and personalized care.
Granular Symptom Classification
Mental health disorders manifest uniquely in each patient. Unstructured data—clinician notes, therapy progress, and patient-reported experiences—enables a more individualized understanding of symptom patterns and treatment responses. By harnessing AI & data-driven analysis, researchers can identify personalized care pathways and support precision psychiatry, improving both short- and long-term patient outcomes.
Expanding Real-World Evidence
Mental health care is complex, with treatment responses varying widely based on genetics, comorbidities, and socio-environmental factors. Clinical trials data alone often fails to capture all these nuances, whereas unstructured data offers a richer perspective. By leveraging RWE, researchers can analyze long-term treatment patterns, identify care gaps, and refine interventions, ultimately improving patient outcomes and shaping evidence-based policies.
Unpacking The Data
The Sources Behind Our Insights
How Pharma Can Leverage LynxCare's Dataset
Clinical Trial Design
Our granular and quality-controlled real-world dataset can help design clinical trials that better reflect real-world scenarios.
Synthetic Control Arm
Our dataset can be used to create synthetic control arms, which can be used to evaluate the effectiveness of new treatments.
Market Access
Our dataset can help pharma companies gain a better understanding of the market and generate granular value dossiers for HEOR.
Medical Affairs
Our dataset can help medical affairs teams better understand the clinical outcomes and real-world evidence associated with their products.
How Hospitals Can Benefit from a LynxCare Database
Improving Patient Care
Find more relevant medical information thanks to LynxCare's disease-specific NLP pipeline for a better patient and population understanding.
Research & Network Opportunities
Initiate or participate in national and international multi-center, multi-country RWE studies.
Benefit from network of KOLs.
Scientific Research
Initiate or participate in (pharma- or physician initiated) peer-reviewed (multi-center, multi-country) publications
Increased Clinical Trial Participation
More effective patients/cohort selection through clinical NLP, enrolling more patients in clinical trials
Improve your Data Quality
Receive feedback on the clinical data quality of your hospital’s database.
Benefit from data science training provided
World-Class Expertise.
The LynxCare Advantage
Differentiating factors from other NLP providers & established RWD vendors
Building Trust
Quality Control and Data Freshness
Quality Control
Data Freshness
OMOP CDM Data Warehouse
Patient Insights
More Than Numbers
Individualized Care
Cross-Disciplinary Collaboration
Impact on Patient Outcomes
The Future of Mental Health Therapy
How LynxCare Can Help
Personalized Medicine
The future of mental health treatment lies in personalization. By leveraging unstructured data from clinical notes, LynxCare enables clinicians to understand the unique symptomatology and needs of individual patients. This approach supports tailored interventions for conditions like depression, anxiety, and schizophrenia. With comprehensive datasets and advanced analytics, LynxCare empowers clinicians to deliver more precise, effective care, advancing the promise of personalized mental health medicine and treatments.
Improved Outcomes
Through the analysis of real-world patient data, LynxCare aims to improve mental health outcomes. Our data-driven insights provide a clearer understanding of patient journeys, treatment responses, and symptom evolution over time. By equipping clinicians with actionable information, LynxCare supports better-informed decisions, ultimately enhancing treatment efficacy and ensuring patients receive the most appropriate and timely care.
Continued Innovation
LynxCare is dedicated to shaping the future of mental health treatment. Our expertise in data mining and interpretation helps uncover patterns and opportunities for advancing therapies. By offering comprehensive datasets and real-world insights, we empower life science companies, healthcare providers, and researchers to innovate in mental health care, fostering breakthroughs in diagnosis, treatment, and management of mental health conditions.
° LynxCare datasets concern datasets within the LynxCare's European hospital network. The hospitals are the data controllers. No commitment before site approval on RWE request.
