DigiFi for Healthcare Providers


Hospitals, pharmacies, labs, biotech companies, staffing agencies and other healthcare businesses can all benefit from automating and optimizing key decisions. Existing data sets can be used to train powerful machine learning models, driving lower costs, new discoveries and better patient outcomes.

BANK-LEVEL COMPLIANCE
LEADING ACCURACY
SIMPLE INTEGRATIONS
NO CODING REQUIRED

DigiFi Powers Better Outcomes

OPTIMIZED UTILIZATION

Utilization is a careful balance: too high and you have frustrated patients, too low and you have a problem. Our Decision Hub can analyze historical data to help you forecast and optimize utilization rates.

IMPROVED ASSESSMENT

Many factors influence every diagnosis and human judgement isn’t perfect. DigiFi’s platform can be deployed for clinical decision support, making recommendations that improve diagnostic accuracy.

SYSTEM-WIDE CONSISTENCY

Automated decisioning is significantly more consistent than human decisioning. It is free from human bias and a single model or decision process can be deployed system-wide to increase consistency in every interaction.

TREND DISCOVERY

Healthcare companies have access to enormous data sets – in many cases, too much data to process without machine learning. DigiFi’s platform can be used to analyze big data and make powerful discoveries.

Address Many Use Cases

Get an accurate view into facility occupancy and resource utilization levels with predictive modeling based on your own data. Train machine learning models using past information on facility, patient, event and environmental factors and then apply to model to a range of management decisions that can drive higher profitability as well as improved patient satisfaction.

Personalize the course of treatment to each individual patient with data analytics that learns over time. Train machine learning models using your historical data to identify at-risk patients and take preemptive action to ensure the best possible outcome. Augment your decision strategies with rules management to ensure consistent care that meets the highest standards.

Accurately diagnosing conditions before they cause complications is critical to driving the best patient outcomes. Historical data can drive actionable insights for healthcare practitioners when assessing risk factors. A decision support system that combines predictive analytics with traditional rules-based workflows ensures a high standard of care.

Hospitals and other healthcare providers can better allocate resources and plan appropriately with a more accurate understanding of cash flows. Predictive analytics for revenue cycle management can offer insights into how business resource planning can be optimized by leveraging historical experience.

Use world-class machine learning to quickly analyze enormous data sets, build powerful models that predict outcomes and analyze trial data to determine patient success rates.

Explore Our Products

MACHINE LEARNING MODELS

Powerful predictive models that go beyond traditional machine learning to produce fully explainable and compliant decisions

BUSINESS RULES ENGINE

Create, test and deploy workflows that gather data, process business logic and generate automated decisions

OCR TEXT RECOGNITION

Extract handwritten or digital text from PDF documents using OCR, eliminating manual data entry

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