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Implement a risk stratification system that identifies patients at higher risk of SSIs based on various factors such as patient demographics, surgical type, medical history, preoperative and post-operative conditions. This helps prioritize monitoring efforts on patients who are more likely to develop infections.
Ensure that alerts are triggered based on clinical context and meaningful changes. Instead of sending an alert for every small deviation, the platform focuses on detecting clinically significant changes that could indicate a potential infection.
Set specific thresholds for vital signs, swab and blood test values, or other relevant metrics. Alerts can be triggered when these thresholds are crossed or when there's a notable trend indicating a deviation from the expected postoperative recovery.
Provide doctors with the option to customize the alert settings based on their preferences and the specific needs of their patients. This can include adjusting thresholds, frequency of alerts, and communication methods (e.g., email, text messages, in-platform notifications).
Continuously refine the algorithms that trigger alerts. Truss Health incorporates machine learning and AI techniques to improve the accuracy of alerts over time, reducing false positives and unnecessary notifications.
Offer doctors a real-time dashboard that displays patient data in an easily digestible format. This allows them to monitor trends and changes without relying solely on alerts.
Laso is integrated with the hospital's EHR system and provides doctors with a comprehensive view of the patient's medical history, surgical details, and recovery progress. This contextual information can help doctors make informed decisions when assessing alerts.
Provide doctors with evidence-based guidelines and recommendations alongside alerts. This can help guide their decision-making and suggest appropriate next steps in case of a potential infection.
Involve a multidisciplinary team in the development and implementation of the platform. This can include input from doctors, nurses, infection control specialists, IT professionals, and physical therapists to ensure a holistic and effective solution.
Laso offers comprehensive training to doctors on how to effectively use the platform, interpret alerts, and respond appropriately. Educating healthcare professionals about the purpose and benefits of the platform can help them feel more confident in its use.
Establish a feedback mechanism where doctors can provide input on the effectiveness of alerts. This iterative process can help refine the platform's algorithms and improve its overall performance.
Laso, Truss Health’s patient safety monitoring platform provides timely and meaningful alerts to doctors while minimizing alert fatigue and information overload. This, in turn, can contribute to better patient care and outcomes.
Implement a risk stratification system that identifies patients at higher risk of SSIs based on various factors such as patient demographics, surgical type, medical history, preoperative and post-operative conditions. This helps prioritize monitoring efforts on patients who are more likely to develop infections.
Ensure that alerts are triggered based on clinical context and meaningful changes. Instead of sending an alert for every small deviation, the platform focuses on detecting clinically significant changes that could indicate a potential infection.
Set specific thresholds for vital signs, swab and blood test values, or other relevant metrics. Alerts can be triggered when these thresholds are crossed or when there's a notable trend indicating a deviation from the expected postoperative recovery.
Provide doctors with the option to customize the alert settings based on their preferences and the specific needs of their patients. This can include adjusting thresholds, frequency of alerts, and communication methods (e.g., email, text messages, in-platform notifications).
Continuously refine the algorithms that trigger alerts. Truss Health incorporates machine learning and AI techniques to improve the accuracy of alerts over time, reducing false positives and unnecessary notifications.
Offer doctors a real-time dashboard that displays patient data in an easily digestible format. This allows them to monitor trends and changes without relying solely on alerts.
Laso is integrated with the hospital's EHR system and provides doctors with a comprehensive view of the patient's medical history, surgical details, and recovery progress. This contextual information can help doctors make informed decisions when assessing alerts.
Provide doctors with evidence-based guidelines and recommendations alongside alerts. This can help guide their decision-making and suggest appropriate next steps in case of a potential infection.
Involve a multidisciplinary team in the development and implementation of the platform. This can include input from doctors, nurses, infection control specialists, IT professionals, and physical therapists to ensure a holistic and effective solution.
Laso offers comprehensive training to doctors on how to effectively use the platform, interpret alerts, and respond appropriately. Educating healthcare professionals about the purpose and benefits of the platform can help them feel more confident in its use.
Establish a feedback mechanism where doctors can provide input on the effectiveness of alerts. This iterative process can help refine the platform's algorithms and improve its overall performance.
Laso, Truss Health’s patient safety monitoring platform provides timely and meaningful alerts to doctors while minimizing alert fatigue and information overload. This, in turn, can contribute to better patient care and outcomes.
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