Identification and treatment of patients with stroke is becoming increasingly complex, as more treatment options are made available and new relationships between disease severity and treatment response are continually published. Moreover, with the extension of the treatment time windows for thrombolysis to 9 hours, and for thrombectomy to 24 hours, guided by imaging, the treatment landscape is becoming quite complex due to an increased volume of late treatment referrals. As a result, clinicians must constantly learn new skills (new clinical evaluations or interpreting new imaging measures), stay up to date with the literature, and synthesise these advances into their everyday practice. Decision assistance is increasingly being utilized in commercial and health sectors as a means to improve quality decision making, reduce inter rate variation and to implement precision medicine.
In this Research Topic we will explore the use of decision assistance in stroke from a clinical perspective and include topics of pre-hospital triage, in hospital decision making, imaging analysis and the economic impacts of treatment decisions. Additionally, we will include discussion on the technical and analytical framework around the development, limitations and role of decision support platforms in the real world.
Decision assistance is an emerging support system which has a lot of potential to improve quality decision making in stroke. We will explore the various contexts that clinicians face daily, and examine if decision assistance could be useful, as well as provide a clinicians and experts perspective on how such a decision support system may be implemented and used on a daily basis.
This Research Topic specifically welcomes articles on:
• The use of decision assistance in the prehospital setting; (original articles)
• The use of decision assistance in acute stroke treatment decision making; (literature reviews)
• Decision assistance for imaging interpretation and analysis; (original articles)
• Technical and theoretical framework for decision support systems; (technology reports)
• Economic and cost aspects of decision support systems; (original articles)
• Decision support broadly in clinical care; (methods)
• Decision support for tele health. (original articles or literature reviews)
Identification and treatment of patients with stroke is becoming increasingly complex, as more treatment options are made available and new relationships between disease severity and treatment response are continually published. Moreover, with the extension of the treatment time windows for thrombolysis to 9 hours, and for thrombectomy to 24 hours, guided by imaging, the treatment landscape is becoming quite complex due to an increased volume of late treatment referrals. As a result, clinicians must constantly learn new skills (new clinical evaluations or interpreting new imaging measures), stay up to date with the literature, and synthesise these advances into their everyday practice. Decision assistance is increasingly being utilized in commercial and health sectors as a means to improve quality decision making, reduce inter rate variation and to implement precision medicine.
In this Research Topic we will explore the use of decision assistance in stroke from a clinical perspective and include topics of pre-hospital triage, in hospital decision making, imaging analysis and the economic impacts of treatment decisions. Additionally, we will include discussion on the technical and analytical framework around the development, limitations and role of decision support platforms in the real world.
Decision assistance is an emerging support system which has a lot of potential to improve quality decision making in stroke. We will explore the various contexts that clinicians face daily, and examine if decision assistance could be useful, as well as provide a clinicians and experts perspective on how such a decision support system may be implemented and used on a daily basis.
This Research Topic specifically welcomes articles on:
• The use of decision assistance in the prehospital setting; (original articles)
• The use of decision assistance in acute stroke treatment decision making; (literature reviews)
• Decision assistance for imaging interpretation and analysis; (original articles)
• Technical and theoretical framework for decision support systems; (technology reports)
• Economic and cost aspects of decision support systems; (original articles)
• Decision support broadly in clinical care; (methods)
• Decision support for tele health. (original articles or literature reviews)