WeGuide - the world leading, no code, digital health platform.

WeGuide Editorial Team

Editorial Team

Fact Checker

The WeGuide editorial team reviews our articles for factual accuracy and clarity. The team brings together clinical research and digital health specialists who check that every claim reflects current evidence and regulatory guidance, and that sources are cited correctly.

Latest Articles

Diagram showing patient registries as a real-world data source feeding into real-world evidence

Patient Registries and Real World Evidence

A focused guide to how patient registries work as a real world evidence source, where regulators accept registry evidence, and what makes registry data fit for RWE.

Diagram of eConsent for patient registries showing dynamic consent, re-consent, and audit trail

eConsent for Patient Registries: A Practical Guide

A practical guide to eConsent for patient registries, covering dynamic and broad consent, reconsent, withdrawals, the features that matter, and the compliance and ethics behind long term registry consent.

Diagram of how a disease registry collects patient data and produces research and outcomes insights

Disease Registry: Types, Examples, and How They Work

A clear guide to disease registries: what they are, how they differ from patient registries, the main types with examples, and how they support research and drug development.

Comparison of patient registry versus clinical trial across design, intervention, and data

Patient Registry vs Clinical Trial: Key Differences

A clear comparison of patient registry vs clinical trial, covering design, intervention, data, duration, and regulatory role, with guidance on when to run a registry study and how the two work together.

Concept map of rare disease registries supporting natural history studies and drug development for small populations

Rare Disease Registries: Why They Matter and How to Run One

A practical guide to rare disease registries: what they are, why they matter for natural history and drug development, the challenges of small dispersed populations, and how to run one well.

Step-by-step process diagram for building a patient registry from objectives to recruitment

How to Build a Patient Registry: A Step-by-Step Guide

A practical, step by step guide to building a patient registry, covering objectives, governance and consent, the data model, technology, recruitment, and long term sustainability.

Diagram of patient registry software features including eConsent, digital forms, longitudinal capture, and compliance

How to Choose Patient Registry Software: A Buyer's Guide

A practical buyer's guide to choosing patient registry software, covering the features that matter, build vs buy, compliance, and the questions to ask a vendor.

Concept map of a patient registry showing disease, product, and health-services registry types and longitudinal data

What Is a Patient Registry? A Complete Guide

A practical guide to patient registries for sponsors, advocacy groups, and research teams, covering the definition, why they matter, the main types, how they differ from trials, how one works, and how to choose registry software.

Diagram of the FDA framework for digital health technologies in clinical trials and the V3 validation stages

Digital Health Technologies (DHTs) in Clinical Trials: The FDA Framework

A practitioner's guide to digital health technologies in clinical trials, covering the FDA's 2023 DHT framework, fit for purpose device selection, V3 validation, and the sponsor responsibilities that protect data integrity.

Diagram of wearables in decentralised clinical trials capturing remote data from home into the study

Wearables in Decentralized Clinical Trials: The Remote Data Bridge

A focused guide to wearables in decentralised clinical trials: how remote sensors bridge data capture to the home, what they replace, where they sit in the DCT stack, and the data and logistics rules that decide whether the data holds up.

Diagram of patient generated health data sources in clinical research including wearables, ePRO, and home devices

Patient Generated Health Data (PGHD) in Clinical Research

A practical guide to patient generated health data in clinical research: what PGHD is, its sources and examples, how it differs from clinician collected data, and how trials capture and govern it.

Comparison of Fitbit, Apple Watch, and Garmin for clinical research across data access, validation, battery, and cost

Consumer Wearables in Clinical Research: Fitbit vs Apple Watch vs Garmin

A practical comparison of Fitbit, Apple Watch, and Garmin for clinical research, weighing data access, validation, battery life, cost, and ecosystem so study teams can match the device to the measure and the population.

Diagram of wearable data quality factors in clinical trials including wear time, completeness, and validation

Is Wearable Data Trustworthy? Data Quality and Validation in Clinical Trials

Wearable data is trustworthy in clinical trials when it is captured and validated well. A practical guide to wearable data quality, the V3 framework, wear time, missing data, and BYOD consistency.

Process diagram of digital endpoints in clinical trials from sensor data through validation to a trial outcome

Digital Endpoints in Clinical Trials: From Sensor Data to Trial Outcomes

A practical guide to digital endpoints in clinical trials: what they are, how they differ from digital biomarkers, how a measure becomes a validated and prespecified endpoint, what the FDA expects, and real examples across therapeutic areas.

Concept map of digital biomarkers in clinical trials from wearable signals like sleep, heart rate, gait, and activity

Digital Biomarkers in Clinical Trials: A Practical Guide

A practitioner's guide to digital biomarkers in clinical trials, covering what a digital biomarker is, how they differ from digital endpoints, the main types by sensor and therapeutic area, the V3 validation framework, and how sponsors capture them.

Comparison of BYOD versus provisioned devices in clinical trials across cost, data quality, equity, and compliance

BYOD vs Provisioned Devices in Clinical Trials

A decision guide to BYOD vs provisioned devices in clinical trials, weighing cost, data quality, equity, and compliance, with clear advice on when to choose each model or a hybrid of both.

Diagram of wearables in clinical trials showing sensor data becoming digital biomarkers and validated endpoints

Wearables in Clinical Trials: A Complete Guide

A practitioner's guide to wearables in clinical trials, covering device types, the data they capture, validation, BYOD vs provisioned models, and how sponsors turn sensor data into trusted endpoints.

Maturity ladder infographic for patient centricity in clinical trials from patients informed to designing trials together

Patient Centricity in Clinical Trials: What It Means and How to Operationalize It

A practical guide to patient centricity in clinical trials: a clear definition, the disambiguation from related terms, the ROI evidence, and a lifecycle operating model plus maturity checklist to move from buzzword to a trial you can actually build.

Infographic on patient retention in clinical trials showing ~30% average dropout, rising trend, and five retention levers

Patient Retention in Clinical Trials: Dropout Rates, Causes, and How to Reduce Them

Clinical trial dropout averages around 30% and is rising. Here are the benchmarks, the real reasons participants leave, and 12 ways to improve patient retention.

Bar chart comparing decentralized clinical trials patient retention of 89 to 97% against 60 to 70% for site-based trials

How Decentralized Clinical Trials Improve Patient Engagement and Retention

A retention-framed look at decentralized clinical trials: the cited evidence by trial model, the burden-reducing mechanisms behind lower dropout, and where decentralisation does and does not help.

It's your turn

Every WeGuide project, saves researchers and clinicians - 9 months and $450,000 - creating impactful digital health solutions.

By clicking Organise a demo, you're confirming that we can contact you to set up a demonstration.

Thank you! Your submission has been received!

Oops! Something went wrong. Please try again.