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Addressing challenges in triage services with AI by automating tasks and reducing waiting times in waiting lists and administrative burden.
Triage and referral management in healthcare systems are key causes of delays and administrative burden.
The triage process, which determines the urgency of patient care, is often manual and prone to errors.
This leads to prolonged wait times, increased pressure on healthcare professionals, and a negative patient experience [1].
Additionally, the administrative burden associated with this process contributes significantly to inefficiency within healthcare systems [2].
The use of an AI-powered conversational assistant provides an innovative solution to automate the triage process, reducing wait times and administrative load.
Automation can prioritize triage more quickly and accurately, allowing healthcare professionals to focus on more complex cases. AI can also manage and optimize referral flows, enhancing resource efficiency in healthcare services [4].
Implementing this system in gastroenterology, for example, has been shown to reduce referral processing time by 30% [5].
The protocols and recommendations of the digital assistant are based on the "Manual for the implementation of a triage system in emergency rooms" of the Pan American Health Organization and Moreno's comprehensive triage guidelines. By leveraging these established resources, the tool aligns with recognized classification procedures and assists healthcare providers in decision making.
Triage and referral management in healthcare systems are key causes of delays and administrative burden.
The triage process, which determines the urgency of patient care, is often manual and prone to errors.
This leads to prolonged wait times, increased pressure on healthcare professionals, and a negative patient experience [1].
Additionally, the administrative burden associated with this process contributes significantly to inefficiency within healthcare systems [2].
The use of an AI-powered conversational assistant provides an innovative solution to automate the triage process, reducing wait times and administrative load.
Automation can prioritize triage more quickly and accurately, allowing healthcare professionals to focus on more complex cases. AI can also manage and optimize referral flows, enhancing resource efficiency in healthcare services [4].
Implementing this system in gastroenterology, for example, has been shown to reduce referral processing time by 30% [5].
A study in Colombia reports that the cost of waiting in healthcare systems is approximately 2.5 million pesos per patient due to inefficiencies in triage and referral processes [1].
The introduction of an automated triage system is estimated to save over 10 million pesos annually in a medium-sized clinic, while also improving patient satisfaction and reducing administrative costs.
Automating triage and referral management through AI not only optimizes patient flow but also improves access to care by reducing wait times and administrative load. The impact is particularly significant in high-demand areas, such as gastroenterology, where AI has demonstrated substantial potential to improve operational efficiency and care quality [5]. In terms of public health, these improvements could reduce mortality rates associated with late diagnoses.
The protocols and recommendations of the digital assistant are based on the "Manual for the implementation of a triage system in emergency rooms" of the Pan American Health Organization and Moreno's comprehensive triage guidelines. By leveraging these established resources, the tool aligns with recognized classification procedures and assists healthcare providers in decision making.
