Mental Health Technology: Opportunities and Risks Dashboard

Comprehensive analysis of AI chatbots and mental health applications based on recent research studies

Key Statistics Overview

18
AI Chatbot Trials
3,477 participants
92
Mental Health App Trials
16,728 participants
0.43
Overall Effect Size
Medium effect for apps
74%
Critical Security Risk
Major privacy concerns

Effectiveness Analysis

AI Chatbots (negative values indicate improvement)
Mental Health Apps (positive values indicate improvement)

Privacy & Security Risks

Critical Concerns

89% of apps lack privacy impact assessments and require college-level education to understand privacy policies

Data Sharing

67% of apps share sensitive data with third parties including advertisers

User Engagement Patterns

App Comparison

App Name Type Origin Evidence Base Target Conditions Privacy Rating Cost Model

Global Initiatives

TeleMANAS (India)

20+ lakh Calls handled
53 TeleMANAS cells

24/7 toll-free helpline (14416) covering all states and union territories with 20+ language support

AIIMS Never Alone (India)

₹0.70 Per student/day
2025 Launch year

AI-powered app with WhatsApp integration for 24/7 screening and DSM-based evaluation

WHO Digital Health Guidelines

3 Key pillars
2023-2030 Timeline

International framework for AI in health with ethical standards and equity focus

UK MHRA Guidance

Risk-based Classification
2025 Launch year

Regulatory framework for medical device qualification and safety monitoring

App Selection Checklist

Clinical Evidence

Privacy & Security

Safety Features

Accessibility

Items checked: 0 / 18