IBM WATSON AI XPRIZE Round 2

I’m pleased to announce that TwynBrain has made it into the second round of the IBM AI XPRIZE as one of 59 teams.  TwynBrain has made good progress towards realising it’s goal.

The rationale for solving productivity and efficiency of clinicians in mental health.  The grand challenge being tackled is the delivery of mental health services in the face of growing demand. Mental health disorders are a significant source of suffering and morbidity with one in four people experiencing some sort of difficulty in their lifetime. The World Health Organisation reports that depression alone accounts for 4.3% of global disease burden – 11% of all years lived with disability globally, particularly for women.  Lost economic output will amount to US$ 16.3 trillion between 2011 and 2030[1].

Over the last decade, there has been a growing adoption of electronic health records (EHRs) in healthcare.  For example, in the United Kingdom digitisation of health records has become a national priority [2].  In the United States, the increased uptake of EHRs has been mandated through the Health Information Technology for Economic and Clinical Health  (HITECH) Act.  HITECH has resulted in a basic EHR adoption rate of 76% by 2014 [3]. This increase in the utility of EHRs has been seen as an opportunity promising easier access to patient care and increased productivity of healthcare practitioners.  However, the high volume of information being collected in EHRs is difficult for time constrained clinicians to assimilate.  This results in clinicians only reviewing recent information instead of all relevant information.

In mental health, the nature of patient data is free text due to the practise of recording a patient’s experience in the form of a narrative.  This makes curating and summarizing this data in a meaningful way difficult.

If you are interested in working with TwynBrain to achieve these goals, feel free to make contact here: contact@twynbrain.co.uk

References

[1]     World Health Organization. “Mental health action plan 2013-2020.” (2013).

[2]     NHS England “Five year forward view.” (2014).

[3]     Charles, Dustin, Meghan Gabriel, and Michael F. Furukawa. “Adoption of electronic health record systems among US non-federal acute care hospitals: 2008–2013.” ONC data brief 9 (2013): 1-9.

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