PROBLEM

01

Patients want quicker access to the right help

Without comprehensive mental health assessments at the front door patients struggle to get access to the right support when and where they need it

02

Providers have a challenge to reduce variability in assessment quality

Patients present throughout the system with a range of mental health needs and the lack of comprehensive, standardized approaches to capturing patient input results in varying assessment accuracy and reliability.

03

Clinicians face overwhelming administrative burdens and system inefficiencies

Manual data capture and processing prevents clinicians from operating at the top of their license and slows patient throughput.

Group therapy session

SOLUTIONS

01

Enhance care coordination

Empower healthcare professionals with faster, more accurate mental health triage and assessments. Censeo helps them focus on what matters most - patient care.

100%

of healthcare workers said Censeo supports their clinical decision making.*

*interview data from HPFT SPA care professionals.

02

Reducing unnecessary steps and saving time

By minimizing administrative tasks and streamlining information gathering, behavioral health services can improve service productivity.

80%

of healthcare workers said Censeo saved a moderate to large amount of time

03

Engaging patients through digital

An easy-to-use digital system makes it quicker for people to access the care they need, improving patient experience and engagement in their care. Identifying complex conditions and possible co-morbidities early means patients get the right treatment right away.

10%

of adults in England are covered by Censeo

TESTIMONIALS

Upkar Jheeta

Midlands Partnership University NHS Foundation Trust

Hakan Akozek

Hertfordshire Partnership University NHS Foundation Trust

Jonathan Sweeney

Hertfordshire Partnership University NHS Foundation Trust

WORK WITH US

STEP 1

Book a call with us

STEP 2

Build your proposal and RoI calculation

STEP 3

Implementation, EPR integration and 'go live'

PUBLICATIONS

Translational Psychiatry

A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data

2021-01-12

Jakub Tomasik, Sung Yeon Sarah Han, Giles Barton-Owen, Dan-Mircea Mirea, Nayra A. Martin-Key, Nitin Rustogi, Santiago G. Lago, Tony Olmert, Jason D. Cooper, Sureyya Ozcan, Pawel Eljasz, Grégoire Thomas, Robin Tuytten, Tim Metcalfe, Thea S. Schei, Lynn P. Farrag, Lauren V. Friend, Emily Bell, Dan Cowell & Sabine Bahn

JMIR publications

Toward an Extended Definition of Major Depressive Disorder Symptomatology: Digital Assessment and Cross-validation Study

2021-02-15

Nayra A Martin-Key; Dan-Mircea Mirea; Tony Olmert; Jason Cooper; Sung Yeon Sarah Han; Giles Barton-Owen; Lynn Farrag5  ;  Emily Bell5  ;  Pawel Eljasz1  ;  Daniel Cowell5, 6  ;  Jakub Tomasik1  ;  Sabine Bahn1, 5 

JAMA Psychiatry

Metabolomic Biomarker Signatures for Bipolar and Unipolar Depression

2023-10-25

Jakub Tomasik, Scott J. Harrison, Nitin Rustogi, Tony Olmert, Giles Barton-Owen, Sung Yeon Sarah Han, Jason D. Cooper, Paweł Eljasz, Lynn P. Farrag, Lauren V. Friend, Emily Bell, Dan Cowell, Sabine Bahn

Make change.

When will you start to unlock better mental healthcare?

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