As more people decide to take personal charge of their health and wellness, the need for innovative technology becomes ever more important for the life sciences and medical device sector. Care is no longer limited to the hospital, so the delivery of data and diagnostics must take a healthcare everywhere approach.

Apexon leverages the AWS services to help life science and medical device companies get their digital innovations to market faster, with higher service levels, and with less risk. Our agile approach enables us to engage at any point in the digital journey – from strategy, migration and execution through production scaling and automation. Working on AWS, we can provide our clients with the speed, agility, and performance to outmaneuver the competition.

Apexon’s Patient Engagement Platform delivers the following key outcomes to healthcare and life science organizations:

• Coordinated, integrated care across patient journey
• Personalized care experience
• Seamless omni-channel experience
• Proactive disease management
• Real time patient insights
• Reduced cost of care
• Assurance of regulatory and HIPPA compliance

What follows are use cases where the Apexon Patient Engagement Platform can act as a data accelerator for companies in the healthcare ecosystem:

Virtual Care

• Virtual Visit Platform: Omnichannel portal supporting E2E patient journey
• Symptom Checker: Advanced self-triage ability with guided navigation using inbuilt, rule-based engine
• Conversational Bots: Conversational AI for medication adherence enabling personalized patient engagement

Remote Monitoring

• Connected Care: Digitizing the patient-provider experience with insights driven from wearables and IoT devices
• Real-time Health Monitoring: Enabled with readily available data ingestion, processing, protection, and consumption libraries
• Devices To Cloud: Data lake on cloud to drive actionable insights from wearable devices data for better access to care

Condition Management

• Chronic Care Management: Mobile app combining data analytics with robust behavioral science models
• Readmission Risk Management: AI/ML models for early detection, prevention, and treatment of underlying medical condition
• Companion Bot: Context-dependent coaching for disease management along the patient journey

Key AWS Services AWS Lambda,AWS Connect,Amazon API Gateway,AWS Lex,AWS Chime,AWS S3 Bucket,AWS SNS,AWS IoT Core,Amazon Redshift,AWS Glue,AWS HealthLake, Amazon Transcribe Medical,Amazon Comprehend Medical,Amazon Sagemaker,Amaxon QuickSight