Healthcare Artificial Intelligence: Data Science Solutions
Software that provides machine learning (ML) or natural language processing (NLP) capabilities in clinical, operational, and financial focus areas. ML products learn algorithms and statistical models to effectively perform tasks without explicit instructions while relying on patterns and inference to determine outcomes. NLP is a form of AI that processes large amounts of natural language data.
Subject Expert
Ryan Pretnik
Research Director
Best in KLAS Category
Recent Insights
This report includes two types of data: (1) customer satisfaction ratings for several key performance metrics, and (2) case studies from individual organizations detailing their use cases, outcomes, and lessons learned. Summaries of the case studies are shared on the following pages. The complete case studies can be found in the full report.
Key Findings
- Struggling Jvion Customers Leaving Due to Unmet Outcomes and Financial Constraints
- ClosedLoop.ai Provides Top-Shelf Experience; Satisfaction with Health Catalyst Surges Following Increase in Prescriptive Guidance
- Ease-of-Use Challenges Can Hinder Outcomes for Cerner and Epic Customers
- Case Study Summaries
- Recommendations from Successful Organizations
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Performance Data
Overall Score by Product
Overall Score by Question Topic
Provider Facility Size by Product
Provider Facility Type by Product
Reducing Filters
Unlike sizing filters, reducing filters DO NOT recalculate scores based on the evaluations that meet these requirements. They narrow the list of solutions to show the vendors and solutions that can meet a specific need.
This data is based on interviews with a sample of the firms' recent clients. As a result, it is not necessarily comprehensive of all work a firm may do in this segment.
We require a minimum of 2 confirmations of a service performed in the last 3 years for a solution to qualify.