Product two · Autonomous Retrospective CDI

The future of CDI doesn't require reviewing every chart by hand.

Clinical Foresight is building the technology to automate documentation review from clinical evidence through physician clarification and downstream coding, with human oversight concentrated where it matters.

What it does

From manual chart review to intelligent CDI automation.

The retrospective CDI platform is designed to automate the identification, analysis, and resolution of documentation deficiencies within inpatient medical records.

It examines available clinical evidence, compares it with physician documentation, identifies potential clarification opportunities, and prepares supporting information for compliant, non-leading physician queries. Deterministic coding reference data, including CMS CC/MCC classifications and MS-DRG-related logic, supports the review.

Progressive automation strategy

Three phases from reviewer-assisted to autonomous.

Each phase expands automation only after validation and institutional authorization. The sequence is the product strategy.

PHASE ONE

AI-Assisted CDI Review

In development

Clinical Foresight screens charts, organizes clinical evidence, identifies documentation gaps, and prepares proposed physician queries for CDI specialist approval.

  • Chart screening and case prioritization
  • Evidence organized against physician documentation
  • Draft, non-leading queries for specialist sign-off
PHASE TWO

Automated Physician Queries

Planned · subject to validation and institutional approval

Following appropriate validation and institutional authorization, qualifying queries can be sent directly to physicians. CDI specialists focus on reviewing responses, documentation updates, and exceptions.

  • Eligibility rules define which queries qualify
  • Specialists shift to responses and exceptions
  • Audit trail for every automated transmission
PHASE THREE

Autonomous CDI and Revenue-Cycle Workflows

Long-term architecture

The longer-term architecture supports automated routine chart review, query generation, physician-response reconciliation, coding workflows, and downstream billing preparation, with human oversight concentrated on exceptions.

  • Routine review and query generation without manual extraction
  • Response reconciliation and coding support
  • Downstream billing preparation; humans handle exceptions

Intended benefits

Designed for CDI leaders, physician executives, and revenue-cycle leadership.

Less manual extraction

Eliminate much of the manual chart extraction and review burden.

Consistent identification

Improve consistency in identifying documentation opportunities across reviewers and shifts.

Faster queries

Accelerate physician-query preparation and resolution.

Accurate severity

Support accurate representation of patient severity and complexity.

Lower operating cost

Reduce the operational costs of traditional CDI processes.

A path to autonomy

Enable hospitals to transition toward increasingly autonomous documentation and revenue-cycle operations.

A compelling hospital case, to be proven

Improved capture of clinically supported diagnoses and accurate DRG classification are the design goals. Actual reimbursement impact, query-volume reduction, and operating-cost savings require validation in institution-approved pilots before any production rollout.

Commercial configuration

Prospective AI Hospitalist + CDI, standalone retrospective CDI, or a combined enterprise license.