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Organised by the Bioinformatics group at the BRCMH, IoP, SLaM and Maudsley Digital, this symposium showcased talks regarding the important roles of big data in mental health biomedical research and treatments.
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MindTech: who’s who
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What we can offer ?
• Clinical & User Perspective– knowledge and expertise in mental health and dementia– access to patients & PPI– MindTech patient reference group
• Research – communicating user and clinical needs into design briefs– collaboration & consultation with SMEs, academics, NHS Trusts– protocol development for technology trials, early stage health economics– expertise in automated facial analysis, patient ambient monitoring (PAM), app development,
serious games, implementation science and human factors
• Governance & funding advice– Intellectual property (IP) and regulatory issues– NICE & MHRA assessment procedures – Knowledge of healthtech funding streams
• NHS Policy & Implementation– Access to AHSNs, NHS England
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Research Approach
Identify the clinical problem/ unmet need
Develop/ identify a technological solution
Evaluate clinical/cost effectiveness
Adopt and disseminate in NHS
Research Approach
Identify the clinical problem/ unmet need
Develop/ identify a technological solution
Evaluate clinical/cost effectiveness
Adopt and disseminate in NHS
User perspectives
Academics
Technology Innovation Pipeline
ImplementationDevelopmentIdentifying Need
QbTest
BuddyApp
Patients, Clinicians, NHS Trusts
SMEs
Facial affect recognition
Personalised ambient monitoring
&
HTA/ i4i CLAHRC & AHSN
MindTech
Automated objective
behavioural analysis
Big data & machine learning
E-mental health
Apps
On-line therapy
Personalised ambient
monitoring (PAM)
Social media & networks
Neuromodulation Serious Games
Facial expression, voice & eye gaze
Real-time behavioural signatures
Movement, activity & cognition
Avatar therapy
Neurofeedback & gaze control
Virtual reality
Apps, SMS text messaging
rTMS, tDCS, VNS
machine learning (SVML) for
neuroimaging
Automated objective
behavioural analysis
Big data & machine learning
E-mental health
Apps
On-line therapy
Personalised ambient
monitoring (PAM)
Neuromodulation Serious Games
Activity, mood & cognition
Avatar therapy
Virtual reality
Apps, SMS text messaging
rTMS, tDCS, VNS
The Mental Health Technology Innovation Landscape
• Widening access• Increasing adherence• Self-management
• Objective assessment• Real-time monitoring• Early relapse
detection
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Clinical problem/ unmet need
Potential technology solution Target conditions
Poor engagement, treatment adherence/ missed appointments
• Apps• SMS text messaging • remote video-consultation• On-line therapy
• All conditions
Time consuming, delayed & inaccurate assessment, diagnosis and prediction
• Objective computerised assessment of mood, attention/cognition & movement
• Machine learning/ data mining (CRIS)
• ADHD, ASD• Depression• Dementia
Relapse preventionTreatment optimisationMaintaining independence
• Real-time personalised ambient monitoring (PAM)
• Bipolar disorder• ADHD• Dementia
Limited efficacy of non-pharmacological interventions
• Serious Games: computerised cognitive and social communication training
• Virtual reality • Avatar therapy• Neuromodulation
• PTSD, phobia• ADHD, ASD• Depression, psychosis
2 key questions:• Do people use the
tools?• Do they work i.e.
support young people’s mental health?
Contact: [email protected]
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QbTest: Objective Assessment of ADHD
• Computerised assessment of attention and activity
• Supports clinical decision making• Provides patients with objective
reports on their condition
AQUA Trial Design
Assessment for ADHD
Consent
Randomise
Qb Test Qb Test
QbO: Report disclosed
QbB: Report withheld
Clinical management decisions recorded: – diagnosis & treatment
Baseline
QbTest disclosed6 months
Assessment of QbTest Utility in ADHD
Automated objective behavioural analysis:mood and depression
Valstar et al. (technology theme)
Personalised Ambient Monitoring (PAM)
GPS module
XYZaccelerometer
Internal accelerometer
GSM location
User input:• General health
questionnaires • Mood self-
assessment
Wearable Node•Acceleration•General light level•Artificial light level•Ambient sound properties
BluetoothEncounters*
- Bluetooth - 3G / GPRS - User input -Internal
CASAConnecting Assistive Solutions to Aspirations
• 9 month partnership project supported by government grant (Technology Strategy Board)
• aims:– create independent living packages for 2 groups
1. older people inc. with dementia
2. younger people with learning disability– link to a person’s aspirations – what they like doing
or want to achieve in life– conduct test of example packages– develop business model for packages
New Mind EPSRC Network for MH Technologies,
Manchester
Remote / Video TherapyApplicable to multiple conditions:• Depression• Anxiety• Self-harm• Tourette’s• Eating Disorders, etc
• On-line therapies via text, voice, video• Real-time and asynchronous• 24/7 access• Evidence-based content/ CBT therapy
• High reported user satisfaction & improvement• But few independent evaluations……• Research evidence for cost-effectiveness still needed• Potential platform for NHS clinicians
The Digital Health Explosion
• 2010: 5,000 health apps available• 2013: Global m-Health market worth £2bn• 2014: 97,000 mobile health apps in 62 app stores• 2017: Global m-Health market worth £20bn
• Where’s the research evidence?Safety?Efficacy?
Key Challenges
• Earlier user involvement in design and development• Grow the research evidence-base for user acceptability,
improved mental health outcomes and cost effectiveness• Regulation, industry standards and quality control for
mHealth apps • Scalability and implementation: from local to national• Privacy, trust, consent and data security• Interoperability – connectivity of apps and m-health with
NHS N3, EPR, clinician decision support systems• Collaboration across the NHS, industry and academia
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Mind The Gap – How can evidence keep pace with new technologies in mental healthcare?
MindTech 2014 National Symposium
Date: Monday 24th November 2014Venue: The Royal College of Physicians,
London
SAVE THE DATE!• Avatar therapy for voices: From a clinical trial to routine practice• Big White Wall and PsychologyOnline: The ‘big’ challenges for eTherapy evaluation• ClinTouch: Mobile support for people with psychosis• Video-conferencing for psychological interventions: How can innovative practice inform
research?• Mental health apps: How do we know what works? • My Health Locker: Empowering patients with personal electronic health records • User-led evaluation: Why it matters
MindTech Contacts:
DirectorProf Chris Hollis [email protected]
Technology LeadProf John [email protected]
Programme ManagerDr Jen [email protected]
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