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WHAT INTELLIGENT AUTOMATION MEANS FOR HEALTHCARE
The Healthcare industry faces the challenge of balancing patient care with extensive documentation, overhead, and management tasks. Intelligent automation can alleviate some of the burden put on providers by automating patient record updates, using AI for appointment scheduling, and ensuring accurate billing processes. Let’s give time back to what truly matters—patient care.

IMPROVE PATIENT CARE

ENHANCE OPERATIONAL EFFICIENCY

ENSURE ACCURATE DATA MANAGEMENT

ENHANCE RISK MANAGEMENT
areas to automate
PATIENT INTAKE MANAGEMENT
- Automatically collect patient information from paper and online forms with intelligent document processing (IDP).
- Verify insurance coverage and eligibility in real-time.
- Schedule initial appointments and send confirmations to patients.
- Generate and store consent forms and necessary documentation.
PATIENT MONITORING
- Collect real-time health data from wearable devices and medical equipment.
- Send alerts to healthcare providers for abnormal readings.
- Log patient data into EHR systems for continuous records.
- Generate regular health reports and trend analysis for patient reviews.
MEDICATION MANAGEMENT
- Create and update medication schedules based on physician orders.
- Send reminders to patients or caregivers for medication times.
- Track medication adherence and alert for missed doses.
- Generate reports on medication usage and inventory levels.
PATIENT RECORD MANAGEMENT
- Automatically extract data from sources like electronic health records (EHRs), medical forms, and lab reports, then input it into the patient management system.
- Quickly search and retrieve patient records based on specific criteria.
- Manage patient appointments by scheduling, rescheduling, and sending reminders.
- Track and log modification to patient records, creating a detailed audit trail.
RESIDENT DATA MANAGEMENT
- Collect and update resident demographic and health information.
- Store and manage resident care plans and progress notes.
- Track and record daily activities and health metrics.
- Generate reports for regulatory compliance and care assessments.
MEDICATION INCIDENT REPORTING
- Analyze patient data and medication records to detect potential medication incidents in real time.
- Perform sentiment analysis on written incident reports to identify the severity and urgency of incidents.
- Aggregate and analyze incident data to identify patterns and trends over time.
- Send notifications and escalate incidents to the appropriate healthcare personnel.
Case Study
REDUCTION IN MANUAL DATA ENTRY EFFORT
Amid rising health service use and a limited workforce, University Health Network faced auditing challenges. Our AI consulting and automation services helped eliminate a backlog of over 10 million patient records.

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