Proactive Care Intervention On AI Analysis Of Care Data
Better diagnostic decisions can impact care delivery and patient experiences but call for crucial analysis of care data. A thorough analysis of various parameters of patient data (clinical history, social determinants, genetic impacts, etc.) can be crucial to improve the quality of care. However, sorting millions of data points to find that obscure but crucial patient’s clinical condition is a task easier said than done.
Here, AI Predictive Diagnosis Solution fast-tracks clinical analysis to guide crucial steps in care intervention.
Solution Overview
Hundreds Of Hours Of Analysis – Delivered In Seconds
The AI Predictive Diagnosis solution works on a model that allows patients to receive the full advantage of advanced AI & ML capabilities. Seamlessly integrating with electronic batch records of care providers, the solution can analyze multiple parameters and deliver predictive insights on voluminous clinical data. Faster analysis and generation of insights greatly improve care quality that otherwise proves to be challenging within short spans of clinical visits.
How The Solution Works
Predictive Data Modelling For Answers Out Of Data
Retrieving patient data from Electronic Health Records, the solution applies predictive AI modeling to datasets to identify the likelihood of PTSD & Depression based upon:
- Service Record
- Comorbidities
- Social Determiners of Care
Differentiation Delivered
Decisive Clinical Impact With Predictive Care Intervention
- Caregivers can optimize every single patient visit
- Ensures quality and consistency of experience
- Better clinical processes such as remote monitoring, prognosis, and clinical decision support
- Reduced adverse events in the care journey
- Improved design of treatment courses with reduced healthcare costs