A decision
support system

for diagnosing psychiatric disorders in primary care and psychiatric settings.

WordDiagnostics uses artificial intelligence (AI) to combine patients’ word answers, rating scale scores and other clinically relevant information to support clinicians in diagnosing psychiatric disorders.

How?

WordDiagnostics is easy to implement in the diagnostic procedure.
A patient is sent a link to a tailored online survey.
The survey collects:
  1. descriptive words
  2. traditional rating scales
  3. other relevant information*
*clinicians may add information
The Artificial Intelligence analyze the data to create a patient report.

The AI involves:
  1. Natural language processing to quantify the words.
  2. Machine learning to find the relations between clinical data and diagnosis.
Clinician receives the patient report that assists the diagnostic procedure. The interactive and thorough patient report clearly presents the results in summarized forms with possibility to examine individual answers.

What?

Semantic Measures is a key feature of WordDiagnostics as they enable respondents to answer questions using words that describes their experiences.
  • Example Question:

    Over the last two weeks, have you been depressed or not?

  • Example word answers:

    Down Miserable Divorce Alone Unmotivated

  • Method:

    The words are objectively interpreted by our AI.

Research carried out at Lund University demonstrates many advantages with Semantic Measures as compared with traditional rating scales. For example, Semantic Measures have high validity in measuring, describing and differentiating psychological constructs.

Why?

Increased mental health problems, increases the challenges for healthcare providers. WordDiagnostics aims to assist in meeting these demands by being:

If you have any questions or want to try WordDiagnostics in your healthcare organisation please do not hesitate to contact us!

Who?

Hello,
we’re WordDiagnostics

Sverker Sikström

Professor in cognitive psychology, Lund University. Research concern developing AI, natural language processing and machine learning to measure the meaning of words in psychological contexts.

Katarina Kjell

Clinical psychologist, PhD candidate, Lund University. Research depression and anxiety disorder

Oscar Kjell

PhD in psychology, Lund University. Research on how to measure psychological constructs with words analyzed with AI.

Pontus Bodelsson

Experienced board member, expert in digital transformation in mature organisations and start-ups with new digital business models. He was appointed the most inspiring leader in southern Sweden 2013.

Collaborators

To ensure that WordDiagnostics meets the needs of clinicians and patients we collaborate with several experienced organisations.
Healthcare providers in Skåne Malmö and Skåne Kristianstad.
The National Associations for Depression
The National Associations for Anxiety

Awards

WordDiagnostics has received several awards for its innovative methods and has been supported by some of the most thorough and competitive funding agencies in Sweden.

Prices

Funding

  • Lund University and Sparbanken Skåne's first prize in Award for Future Innovations (2018)
  • Venture Cup regional final winner in the Game changer category (2018)
  • The Family Kamprad Foundation for Entrepreneurship, Research and Charity (2018)
  • Vinnova, the Swedish Governmental Agency for Innovation Systems (2018)umLorem IpsumLorem IpsumLorem IpsumLorem IpsumLorem Ipsum
  • The underlying research was funded by the Swedish Research Council (2016)