Accelerated Diagnosis and Enhanced Patient Care Delivery with ACL Digital’s AI Platform
Overview
Develop a Healthcare Radiology Assistant System using Machine Learning models to extract insights by processing EHR/EMR and medical history. Development of AI Platform for Patient Diagnosis using Machine Learning models operating on EHR/EMR and other data sources.
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Challenges
Complex Cloud Environment
Develop a Healthcare Radiology Assistant System by using ML models for extracting insights by processing EHR/EMR and medical history
Benefits
Leverage the data for clinical and operational decisions to support and deliver value-based healthcare
Improved Security Posture
Our experienced team with a proven track record ensures that you receive expert guidance every step of the way.
Enhanced Visibility
We offer customized, comprehensive cybersecurity coverage, designed to meet your unique business needs.
Reduced Costs
Utilizing cutting-edge tools, we continuously innovate and improve to stay ahead of emerging threats.
Compliance Adherence
With a focus on collaboration and results, we prioritize building solutions that work effectively for your organization.
Benefits
Leverage the data for clinical and operational decisions to support and deliver value-based healthcare
Improved Security Posture
Our experienced team with a proven track record ensures that you receive expert guidance every step of the way.
Enhanced Visibility
We offer customized, comprehensive cybersecurity coverage, designed to meet your unique business needs.
Reduced Costs
Utilizing cutting-edge tools, we continuously innovate and improve to stay ahead of emerging threats.
Compliance Adherence
With a focus on collaboration and results, we prioritize building solutions that work effectively for your organization.
Outcomes
Leverage the data for clinical and operational decisions to support and deliver value-based healthcare
- Developed a Healthcare Radiology Assistant System by using ML models for extracting insights by processing EHR/EMR and medical history
- It reduced time for diagnosis and provided much need information about patient to healthcare staff on fingertip
- Generated alerts base on diagnosis and OEE Recommendations