15+ years at Oracle Health / Cerner · AIGP certified
94.1%
Client renewal rate
16 of 17 eligible opportunities
58.7%
Fewer clinical alerts
Year-over-year reduction
20+
Clinical AI organizations
Supported through onboarding
15+
Years of transformation
From implementation to strategy
SELECTED IMPACT
Results that outlast the implementation.
Clinical, operational, and financial improvement—built through trusted partnerships and hands-on delivery.
Client identities are intentionally withheld. Metrics reflect documented engagements; estimates and measurement scope are noted.
01 / REVENUE INTEGRITY4 months
Recurring room-charge mapping eliminated
Redesigned charge identification for a healthcare organization in Georgia, removing an estimated four months of annual mapping work and manual accommodation-charge updates for approximately 2,300 encounters per year.
The work behind the result
Partnered with revenue integrity and clinical informatics leaders to simplify accommodation options and create distinct bill items and descriptions for each level of care. Cleaner source data reduced downstream mapping and reconciliation. The four-month estimate describes recurring work, not a calculated full-time-equivalent saving.
02 / CLINICAL WORKFLOW58.7%
Fewer alerts. More useful clinical signals.
Led clinical alert optimization at a healthcare organization in Georgia, reducing monthly alerts from 105,536 to 43,534 year over year and affecting workflows used by more than 900 clinicians.
The work behind the result
Aligned decision-support configuration with frontline needs to reduce avoidable interruptions. Measured alert volume is the reported outcome; the percentage does not measure an equivalent change in patient harm or clinician fatigue.
03 / REFERRAL MANAGEMENT36.3%
More referrals captured in the workflow
Helped a healthcare organization in Georgia move external referral tracking from spreadsheets into the EHR. Total captured referrals increased from 55.3 to 75.4 per week.
The work behind the result
Combined collaborative workflow reviews with education on referral reporting. Providers gained visibility into referral status within their normal workflow. This measures referrals captured in the system, not verified incremental revenue.
04 / CLINICAL AI ADOPTION16 → ~1 min
Less time documenting, more time available
Supported clinical AI onboarding across 20+ healthcare organizations. Physician champions reduced documentation time from approximately 16 minutes to approximately one minute per chart.
The work behind the result
Standardized onboarding resources, device preparation, workflow guidance, and hands-on provider training. The timing result applies to physician champions, not a verified average across every participating organization.
~$500KNew consulting revenue from approximately 25 referral-management contracts
170+ hoursManual build work saved through configuration automation for 2,600+ practice sites
~25 hours / monthPharmacist time saved through automated laboratory-result routing
A WORKING EXAMPLE OF MY AI PRACTICE
From AI headlines to business applications.
Explore how AI is being applied across industries. My n8n workflow collects source material and structures it into business problems, potential value, evidence, and adoption considerations.
Partner with executive, clinical, and IT leaders to align technology with business priorities. Lead workflow improvement, client value realization, AI enablement, and governance.
2018–2019
Lead Integration Architect · Knowledge Leader
Established shared integration-testing practices, readiness controls, and knowledge-sharing standards; contributed to an estimated 40% reduction in go-live issues.
2016–2018
Senior Integration Architect
Led architecture and integration across five healthcare implementations. Built a repeatable reporting approach that eliminated manual entry of required patient-assessment data at a rehabilitation organization.
2013–2016
Consultant / Solution Architect
Owned the pharmacy and medication-management domain across a 13-facility state healthcare program, from requirements and design through testing and deployment.
2010–2013
Delivery Consultant
Owned pharmacy implementation work for 15 hospitals, supported 50+ go-live events, and standardized medication-dispensing system integration practices.
RELATIONSHIPS BUILT OVER TIME
21 contracts. Five client organizations.
16 renewals across 17 eligible opportunities, with three active engagements. The one non-renewal was documented as budget-driven.
Discover business applications. Inspect the evidence. Explore what comes next.
Snapshot · Sep 19, 2026
First-version data snapshot. All populated analysis rows are included. Automatic updates are not connected yet. Industry labels and assessments are AI-generated; sources and claims are not independently verified.
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Each card is an analyzed source record, not a unique deployment.
How to interpret this explorer
This is Conner Finn’s AI-assisted research project, separate from his client delivery results. n8n collects source items into a Google Sheet and creates structured analysis. Examples include product announcements, anecdotes, and reported case studies—not only verified production deployments.
Evidence, readiness, complexity, business value, and scores are automated assessments from the Sheet, not independent audits or recommendations. A product announcement is not proof of realized value. Multiple articles may describe the same tool or application. Cross-industry is a separate label rather than evidence of adoption in every sector.
The current analysis-date field repeats across batches and can predate captured sources. This version therefore sorts by source capture date and does not show adoption-growth charts or treat the supplied trend score as a measured adoption rate. Snapshot date indicates when data was copied, not when every claim was verified.