Apexon Patient 360

Patient data collected from doctor visits, diagnosis, and medication, as well as the data collected through wearables plays a huge role in delivering care. However, healthcare data is very complex and carries sensitive information. Therefore, it is difficult to share healthcare data and provide a unified view.

A cloud-first, data-driven, digital strategy that keeps patients at the center is needed.

Patient 360 is a healthcare framework, powered by AWS services, leveraging pre-built accelerators such as Apexon’s Healthcare Data Analytics Platform (HDAP) in combination with Apexon’s well recognized data and analytics services. HDAP is built on AWS managed components and acts as a data accelerator, enabling users to harness healthcare data assets more effectively for diagnostic, exploratory, predictive, and prescriptive needs.

Patient 360 enables healthcare and life science organizations to:

• Identify care gaps and address high-risk situations, supporting proactive care that reduces cost and improves outcomes
• Rapidly leverage, utilize, and monetize their data assets
• Deliver a personalize care experience
• Support standard data models-OMOP
• Enable regulatory reporting and compliance
• Accelerate to overcome data silos

What follows are use cases where Patient 360 can be applied in healthcare and life science settings to improve care facilitation and operational efficiency:

Health Data Cloud for Consumer Diagnostics With the rise in wearables to move customer experience and insights to the data cloud

Patient 360 for Improved Health Outcomes Consolidate patient data across touchpoints for a deeper understanding of their needs and deliver individualized care at every stage of the patient journey

Drive Interoperability Secure and scalable platform to centralize and share sensitive health data, while complying to HIPAA and HITRUST guidelines

Optimize Value-Based Care Use member information from payers to facilitate value-based payments based on personalized risk adjustments

Predict Disease Trajectories Recommend early intervention through predictive analytics on data from hospitals, clinics, and claims data

Accelerate Drug Discovery Leverage cloud analytics to understand what drugs are most needed in the market and prescribed by physicians and expedite their development

Scale Commercial Engagements Aggregate data from CRM tools and traditional digital marketing platforms to deliver personalized, integrated, and multichannel physician and patient engagements

Cloud Genomics Cost effectively process biomedical data at scale, speeding time to insights and achieving breakthrough research faster

Key AWS Services : AWS EMR,AWS Lambda,AWS S3 Bucket,AWS Glue,AWS HealthLake,Amazon QuickSight,AWS DynamoDB,AWS Macie,Notebook,Amazon Athena,AWS CloudWatch,AWS CloudTrail, AWS Identity and Access Management,Alexa Voice Services