Human Experience Dynamics

Revolutionising Clinical Research with Patient-Centric Insights

Supercharge your patient insights

with the next generation ePRO measures

Integrate seamlessly with wearables

Integrate digital biomarker data  with continuous  patient experiences to understand how subjective patient symptoms can be early indicators of disease progression or remission. Use continuous patient symptom data to label your physiological datapoints for your ML models.

Increase Patient Safety

Improve decisioning with rich patient experience data providing context of patient symptoms leading up to adverse events.

Improve Patient Data Quality

Detect meaningful improvements in patient symptoms which traditional methods miss. Our tool offers high sensitivity, capturing intra-day fluctuations of experience states. Our research demonstrates internal and external validity.

Capture Patient Voices

Co-define experience dimensions with patient groups to capture what matters most to patients.

Continuous patient data

for continuous labelling of your digital biomarkers

Our next-generation ePRO measures map patient experiences—such as pain, fatigue, nausea, or emotional states—over time, providing a detailed, time-series view of their symptom intensity and progression.

For the first time, patient-reported data matches the granularity of physiological and digital biomarkers. This alignment enables researchers to uncover deeper insights, linking subjective experiences with objective metrics to better understand the impact of interventions on the health and wellbeing metrics that matter most to patients.

Explore HED for your trials

Research Highlights

Pain
Attention and Interoception Alter Perceptual and Neural Pain Signatures-A Case Study
Breathworks
Breathwork-induced psychedelic experiences modulate neural dynamics
Meditation
The Neurophenomenology of Meditative States: Introducing Temporal Experience Tracing

FAQs

What is Temporal Experience Tracing™ (TET)?

Temporal Experience Tracing™ (TET) is our proprietary method that allows patients to visually map the intensity of their symptoms—such as pain, fatigue, or emotions—over time. This approach captures the nuances of their experiences, creating dynamic time-series data that traditional static questionnaires cannot provide.

How is your platform different from traditional ePRO solutions?

Unlike traditional ePRO solutions, which rely on static questionnaires, our platform captures continuous, high-resolution data on patient experiences. By aligning this data with physiological metrics from wearable devices, we provide a complete picture of the patient’s journey, offering actionable insights that improve decision-making in clinical trials.

Who can benefit from your solution?

Our platform is designed for biopharmaceutical companies, Contract Research Organisations (CROs), hospitals, and health-tech firms conducting clinical trials. It’s also beneficial for researchers looking to capture nuanced patient-reported data and align it with physiological biomarkers.

Is the platform user-friendly for patients?

Yes! TET is designed to be intuitive and easy to use. Patients simply trace their experiences on a time graph, which they find engaging and straightforward. The method reduces the burden of traditional questionnaires, improving compliance and data quality.

How is patient data kept secure?

We prioritise data security and comply with industry standards like GDPR and HIPAA. All patient data is anonymised, encrypted, and securely stored, ensuring the highest level of protection.

Can your platform integrate with existing wearable devices?

Absolutely! Our platform is designed to integrate seamlessly with data from wearable devices such as smartwatches, fitness trackers, and portable EEG systems. This allows us to align subjective patient experiences with physiological data for deeper insights.

How can I get started with Human Experience Dynamics?

Getting started is easy! Contact us here . We’d be happy to discuss your needs and explore how our platform can support your research or clinical trials.