Predictive analytics for providers and payers

In this fast-paced industry, healthcare decision makers must go beyond the basic patient intelligence and visualizations to keep up with patient expectations and medical advancements. With predictive analytics, drive higher organizational standards, better provider performance, improved payer satisfaction, and service innovation.

While almost 80% of executives believe in the importance of advanced analytics, only 31% of hospitals have incorporated the technology for more than a year. With healthcare analytics solutions, proactively intervene to provide care plans and educate patients to improve patient care and outcomes while decreasing healthcare costs.

Healthcare analytics use cases

Solutions - Healthcare Dashboard - Appointment Cancellation




Healthcare solutions at a glance

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Analance predictions saves Pain Clinic $55,400 every quarter by rescheduling appointments at risk of cancellation.

Client often experienced appointments extending beyond the allocated time for medical visit, triggering subsequent patients in the queue to cancel their appointments. These unexpected cancellations led to revenue losses that added up every quarter.


Current situation
Expected revenue every quarter
Appointments scheduled daily
Appointments every quarter
Cost of abdominal pain appointment
Actual revenue every quarter after loss
of appointments get cancelled daily
Appointments at risk every quarter
Total loss every quarter
Predictive Analytics
Revenue boosted by 8.2%
of appointments at risk of cancellation
of 840 appointments were rescheduled
saved from anticipated quarterly loss

“Why didn’t we do this sooner?” 

– COO, Pain Care Facility

Maximize data to find efficiencies wherever possible

Optimize Patient Care

Optimize patient care

Identify patterns in patient-doctor relationships and optimize the care team by automating repetitive workflows like information collection, symptom documentation, and blood work analysis.

Improve Quality of Care

Improve quality of care

Identify non-compliance issues by monitoring and analyzing in and out times, unusual infrastructure and facility usage, and long process and procedure times. Also, adhere to protocols and evolving standards.

Reduce Rehospitalization

Reduce rehospitalization

Ensure healthcare facilities are well staffed to meet the healthcare needs of patients. Implement programs that enhance collaboration across different care settings to ensure patients in transition are cared for at all facilities.

Reduce Patient Churn

Reduce patient churn

Analyze patient satisfaction surveys, feedback forms, and social media channels to identify service gaps patients are unhappy with. Implement organization-wide initiatives to improve service quality and boost patient satisfaction.

Prevent Fraud and Abuse

Prevent fraud and abuse

Payers can monitor provider activities such as tracking whether the number of office visits align with diagnoses or tracking billing volume to determine if providers are billing payers for redundant or unnecessary services.

Optimize Performance

Optimize performance

Identify length of wait and recovery times, possibility of cancellations, availability of rooms and trained staffs, and disease stages and comorbidities to better plan and optimize internal workflows and processes.

Why enable predictive analytics?

Analance empowers organizations with data analytics for better storytelling and predictive insights that help scale business outcomes.