Combat payor denials with AI-driven automation. Bloom’s machine learning engine continuously detects payor specific denial patterns from your data and provides recommendations to avoid denials while maximizing revenue proactively. Our coding and denial experts infuse their expertise into our AI models.

Bloom empowers risk bearing organizations including Medicare Advantage Plans, IPAs, ACOs, among others to use AI-driven data insights. This results in reducing Medical Loss Ratios (MLRs), improving RAF scores, tracking referral patterns, automating prior authorization, and delivering proactive care across populations while reducing administrative costs.

Bloom’s demand optimization solution combines multiple data sources to identify and map feeder networks into healthcare enterprises. Using AI/ML, healthcare executives can understand competitive dynamics in their catchment areas and design unique engagement strategies to improve demand.  Demand optimization is an AskBloom-as-a-Service.

Bloom’s enables healthcare executives to align supply utilization to services delivered and revenue accrued at floor as well as service line levels. Use and ordering exceptions are identified by applying advanced AI/ML enabling supply expense reduction. Supply optimization is an AskBloom-as-a-Service.

Bloom allows leaders to use data to gain visibility into all aspects of workforces including staffing, utilization, top-of-license, employee satisfaction, revenue per employee and more. Bloom’s AI models support optimal workforce decisions and is offered as an AskBloom-as-a-service.