Researchers

BETTER RESEARCH
WITH REAL-WORLD
PATIENT DATA

Create evidence for new treatment models, while
comprehensively collecting, viewing and analysing data

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CREATING EVIDENCE WITH THE MONSENSO DIGITAL HEALTH SOLUTION

The Monsenso digital health solution provides researchers with an ideal platform that collects valuable health-related data. The solution is being used by researchers around the world to gather, analyse, and interpret behavioural data to support their research. The solution is configurable for specific research purpose to collect different types of data:

  • Self-assessment patient data such as daily score, mood score, sleep, medication adherence, stress levels
  • Objective sensor data such as physical activity, social activity phone usage, voice features
  • Integrated wearables data such as sleep, activity and heart rate
  • Validated clinical questionnaires sent to individuals by clinicians

All data is collected through the individuals’ smartphones whether they are online or offline and can be viewed by the research team through the web portal

Remote monitoring

By monitoring patients remotely you can reach larger trial groups, increase engagement and reduce drop out.

Collect real-world data

Collect customised self reported data  and sensor data  from smartphones and wearables electronically.

Data efficacy and accuracy 

Electronic data collection improves data accuracy by allowing the information to be captured and shared instantly.

Patient data analysis

Use electronic data to elaborate pattern analysis, correlation analysis, and to obtain more insight into a patient’s mental health.

PARTNERING FOR FUTURE RESEARCH & DEVELOPMENT

As a European, research-based SME, Monsenso participates in numerous research projects. We partner with both pharmaceuticals, MedTech companies and research institutions.

Monsenso is joining forces with a number of outstanding research partners in funding applications targeted at a range of mental disorders.

New R&D efforts will continue at an intensified pace and will focus on:

  • Creating evidence for health economic outcomes and clinical efficacy on new interventions
  • Advancing data analysis capabilities and associated algorithms and forecasting abilities
  • Developing mobile interventions that help overcome the burden of of mental disorders
  • Creating new functionalities and algorithms that support the mission to provide better outcomes for more patients at lower cost

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BASED ON EXTENSIVE RESEARCH

The Monsenso digital health solution is originally based on the MONARCA research project in bipolar disorder (2009 to 2013) funded by the European Commission under the 7th Framework Program. After the MONARCA project had come to an end, Monsenso A/S was founded as a spin-out of the IT University of Copenhagen. The system was adapted and is now being utilised to support a wide range of mental disorders.

Monsenso is involved in numerous research projects with international partners:

To learn more click on our Research Projects or access our Research Papers.

Research papers

CLINICAL AND TECHNICAL EVALUATIONS

The Monsenso digital health solution has been technically and clinically validated in clinical evaluation studies and randomised clinical trials.

Results obtained in patient-oriented clinical evaluations

  • Extremely high compliance rate (87-93%)
  • Considered very useful and extremely usable by patients and clinicians
  • Very user friendly
  • Helps patients cope with their illness
  • Optimises patient treatment

Results obtained in technical evaluations

  • Stable and scalable
  • Minimal battery consumption on a smartphone
  • Generates an accurate correlation analysis
  • Provides a Mean Absolute Error (MAE) in mood forecast between 0.06 and 0.82 (±3 mood scale)

Results obtained in clinical evaluations

  • Self-assessed symptoms have a high correlation with clinical assessments
  • Automatically collected behavioural data has a high correlation with clinical assessments of symptoms
  • Can be used as a possible biomarker for mental disorders