Skip to content

INTELLIGENCE / Healthcare AI

AI Beyond Automation

Automating a bad process only produces bad decisions faster.

Healthcare organizations increasingly use AI to automate intake, review, documentation and routing. Those efficiencies matter. But automation alone does not necessarily create medical value, clinical value or healthcare savings.

Core concept

The Intelligence Is in the Filters

AI value comes from identifying:

  • 01Which cases need intervention
  • 02Which cases should pass through
  • 03Which providers show outlier behavior
  • 04Which clinical factors modify risk
  • 05Which utilization patterns signal inappropriate care
  • 06Which interventions can materially change cost or outcomes

AI filter model

Ten filters, two pathways

Every case passes 10 filters before anyone decides how much attention it deserves.

All cases

Ten filters

  • Clinical factors
  • Risk
  • Utilization history
  • Provider behavior
  • Patient factors
  • Site / setting
  • Prior history
  • Cost signals
  • Pattern anomalies
  • Evidence-based criteria

Low-risk / appropriate

STREAMLINE

  • Approve
  • Automate
  • Reduce friction

Intervention candidates

INTELLIGENT REVIEW

  • Clinical decision support
  • Human review
  • Provider intervention
  • Alternative pathway
  • Additional information

Where this was applied

Clinical, financial, utilization, quality and longitudinal-care filters

AI should not simply automate existing healthcare workflows. Its greater value is in applying clinical, financial, utilization, quality, and longitudinal-care filters that allow the system to make more intelligent decisions.

Clinical, financial, quality & SDOH risk

Use AI and EMR data to identify clinical, financial, quality and SDOH risks—not just generate individual alerts.

  • Pieces Technologies

    AI + EMR clinical and healthcare-performance strategy

    BuiltAdvised on product strategy connecting AI and EMR data to clinical, financial, quality and SDOH risks.

    ImpactProduct strategy addressed STAR measures, HEDIS, Total Performance Score, ACO financial performance, readmissions, length of stay, hospital-acquired conditions, sepsis, uncompensated care and social determinants of health.

Longitudinal care & authorization

Use pathway intelligence to anticipate future care and appropriate downstream authorization, rather than automate isolated review transactions.

  • New Century Oncology / Evolent Health

    Longitudinal oncology & cardiology pathway decision support

    BuiltDesigned a new Oncology and Cardiology decision-support system based on care pathways.

    ImpactThe design allows clinically appropriate downstream requests to be automatically approved as a patient proceeds through the expected pathway, rather than repeatedly treating care as unrelated transactions.

Specialty-program strategy & pathway intelligence

Initial founding-team consultation in 2019 led to MSK development, followed by Cardiology consulting and later AI-supported pathway intelligence, sleep and genetic-testing algorithms, and specialty-drug programs.

  • Cohere Health

    MSK clinical-program development strategy; Cardiology clinical-program development strategy; AI-supported specialty pathway intelligence; AI-driven sleep-testing & genetic-testing algorithms; Targeted therapy, immunotherapy & monoclonal-antibody management

    BuiltConsulted with the initial founding team — CEO, COO and product lead — in 2019, leading to development of Cohere Health’s MSK program.

    ImpactThe initial founding-team consultation in 2019 led to development of Cohere Health’s MSK program. Further consulting supported Cardiology development and a next-generation utilization-management model focused on clinical pathways, specialty programs and selective intervention.

Clinical utilization & service architecture

Connect clinical, utilization and longitudinal-care filters to specialty programs, peer review, care management and the service model.

  • Hinduja Healthcare Services → Sagility

    BPaaS / UM-as-a-Service architecture

    BuiltCreated overall UM strategy covering prior authorization, peer review, clinical decision support and care management.

    ImpactThe work was part of preparing the healthcare business for acquisition by Baring Private Equity Asia / BPEA.

  • HealthHelp

    Collaborative specialty utilization-management programs; Integrative Oncology; Protos clinical rules & authorization engine; Spend-reduction products: Site, Scope, Triage, Direct, Concierge & Access; Utilization-reduction products: Consult, Access, Inform, Guide & Alert; Provider Score, savings valuation & risk / predictive analytics

    BuiltRestructured product strategy, health informatics and client-service delivery.

    ImpactRevenue grew from approximately $35M to more than $60M during executive tenure, with approximately $5M EBITDA growth and more than $20M revenue associated with new programs and enhancements.

Comparison

Two ways to use the same technology

Automation-first AI

  • Processes more cases
  • Reduces manual work
  • Speeds existing workflows
  • Measures productivity
  • Applies automation broadly
  • Creates administrative efficiency

Intelligence-first AI

  • Determines which cases matter
  • Identifies intervention opportunities
  • Reduces unnecessary intervention
  • Supports better clinical decisions
  • Applies intelligence selectively
  • Targets clinical and economic value
If AI simply automates the existing workflow, its principal benefit may be administrative efficiency. To bend healthcare cost or improve clinical outcomes, AI must identify the cases where a different action changes the result.

Next step

Find where AI changes the clinical or economic result.

Bring the workflow you are automating. We will ask which cases actually need a different action.