Clinical Decision Support

support physicians in diagnosing, treating and monitoring a patient’s disease or condition

Clinical decision support systems are designed to support clinicians in patient care. There are multiple aims for this - to support patients earlier in their diagnosis and provide the best possible care, to reduce healthcare costs by managing patients through their illness and not relying on higher cost treatments, and finally, to support clinicians in taking decisions by gathering medical research together and allowing them to spend more time on patient care.

Clinical Decision Support
Using multiple criteria, such as a patient's symptoms, their medical history, the medical history of their family, details on the illness from historical records as well as information from medical journals and publications, the Sonetto Healthcare rules engine runs algorithms to make recommendations on treatment.

Workflow
A final decision on treatment is made by the clinician, which itself is saved as a rule and forms part of future algorithms, so the system learns and improves over time. As the treatment is selected, an update is made to the partient record, and a workflow is triggered, which will ensure both the patient and clinician are notified and reminded about the treatment. 

Cross-patient learning
Because past patients records are online, and the system is always learning and refining treatment recommendations based on past case histories, other patients and new information from medical journals, as one patient is given a new recommended treatment, others with the same symptons and history can receive an updated recommendation for their clinician to review.

Prescriptions
For a truly integrated approach to patient care, Sonetto® Healthcare can connect with pharmacy applications to ensure that required prescriptions are fulfilled and prepared for the patient.

Benefits of the Sonetto® Healthcare solution:

• Enhance decision making through rules based recommendations
• Improve care through integrated patient management and automated care plans
• Reduce costs by minimising the need for higher cost treatments
• Index and categorise multiple sources of information for quick re-use
• Ensure consistency in vocabulary and terms across data and reports
• Utilise the internet for supporting interdisciplinary clinical teamwork