Reduce administrative work in patient examination during ward rounds and enable patients to understand
procedures and outcomes based on data.
- Documentation in hospitals is a mostly manual task for the care
- Patients and medical professionals do not share the same language,
which can lead to misdiagnoses and non-adherence to therapies
- Patients and supporting caregivers want to be involved in the care
- Health care providers want to make informed decisions
- Misdiagnoses affect up to 12 million Americans/annum, half of those can be
considered harmful 
- Unneccesary tests and procedures create costs of up to 700 billion dollars/annum
- Low treatment adherence leads to follow-up costs of up to 300 billion
Given advancement in personal assistants such as Siri, Alexa or Google Home, we consider
speech-to-text a solved problem.
However, such language models may have to be re-trained for medical purposes.
We propose a semi-supervised approach here.
Named-Entity recognition in particular in the medical field is the topic of ongoing
However, as hyperscalers such as AWS
tap into the field of natural language processing for medical texts, productive systems seem to be on the
Any solution must have an interface to the clinical information system used at the hospital
to insert and retrieve information.
While there is a multide of different vendors, co-innovating with one of them may pioneer
- How will practitioner react to the automated documentation? Will they feel controlled or
will they see the benefits on patient outcomes?
- What kind of medical content is relevant for the patients and how can it be created?
- What about data privacy and security concerns?
- Singh H, Meyer and Thomas EJ. The frequency of diagnostic errors in outpatient care:
estimations from three large observational studies involving US adult populations. BMJ Quality & Safety
- American College of Physicians. Controlling Health Care Costs While Promoting The Best Possible
Health Outcomes. Philadelphia: American College of Physicians; 2009: PolicyMonograph. Available from
American College of Physicians, 190 N. Independence Mall West, Philadelphia, PA 19106.
- New England Healthcare Institute. Thinking outside the pillbox: a system-wide approach to
improving patient medication adherence for chronic disease. New England Health Care Institute; 2009.