SEMES wishes to improve the decision support for the emergency medicine services for diagnosing acute stroke through the use of smart technology. This will ensure that the patient receives quick and accurate treatment which again ensures a more efficient patient care.
The resources within the special/specific and municipality health services are limited, and it is therefore important that patients with stroke are given the right diagnosis in order to give the right treatment at the right time. The symptoms of stroke can be paralysis, loss in ability to speak and/or the ability to understand. See the link for more information:
Diagnosis followed by triaging patients to the right level of care is an important part of preparation in prehospital treatment.
The project also wishes to develop a digital decision support tool based on smart censors and artificial intelligence which will allow the competence of specialists to be available where ever the patient is. This tool would ensure that the right decisions come early in the emergency medical service timeline.
In this project, there are many questions that arise; which smart censors would be able to give relevant and accurate information, how can this information be combined with existing competence and give decision support; and how can this type of technology be used and how can it be most useful for both the patient and the emergency medical services in order to increase patient safety?
Expected results and effects:
The project is expected to obtain new knowledge about how digitalisation of emergency medicine services can be used to achieve a better treatment of stroke patients. This will be useful for a patient where time is crucial in determining the outcome of the treatment. Early and correct treatment is extremely important for expected functionality after having a stroke. For society, it is important to minimise the need for support in stroke patients, who ideally can go back into employment. This knowledge will allow the health services to give effective support as the resources would be used where their effect would be greatest. The knowledge gained from the treatment of stroke patients can be transferred to other patient groups and greatly increase the effect of this project.