Consulting + Evidence Preview

ValueStream Health advisory firm

Clinician executive-led advisory for healthcare AI, evidence, and value-based care.

ValueStream Health advises technology companies and health systems on where AI and digital health products fit in real care delivery. We curate evidence buyers trust, advise on context-specific workflow change, and frame the healthcare business case in the data-science era.

Evidence-linkedpeer-reviewed research and live NCBI bibliography support the advisory perspective
Multidisciplinaryclinical, technical, analytic, reimbursement, and policy expertise scoped by project
Implementation planningworkflow, EHR, governance, measurement, and adoption planning built into the work
Networked deliveryclinician-led engagements with collaborators added through clear project terms

Where the work lands

Strategy at the point where clinical workflow, evidence, economics, and technology meet.

Most healthcare AI and digital health products do not fail because the concept is weak. They fail because the operational story is incomplete. ValueStream helps teams prove where the product fits, what it changes, how it should be paid for, and what evidence buyers need before they scale.

01

AI product and workflow strategy

Translate clinical operations into product requirements, adoption paths, governance models, EHR workflows, escalation logic, and specialty-specific use cases.

02

Validation and evidence generation

Design practical pilots, real-world performance evaluations, implementation analyses, clinician review frameworks, and buyer-ready evidence packages.

03

Reimbursement and value framing

Connect CPT, billing, revenue-cycle, value-based payment, health-economic, and CFO-facing ROI logic to the workflow change being proposed.

04

Fractional clinical leadership

Provide recurring physician executive support for clinical governance, market positioning, enterprise buyer conversations, and implementation risk management.

Operating model

The ValueStream operating lens is deliberately cross-functional.

A narrow advisory memo can be enough for some teams. Other engagements need clinical review, technical architecture, measurement design, reimbursement analysis, or publication support. The model stays lean, then expands only where the work requires depth.

Evidence confidence Workflow adoption
Clinical fitWho changes behavior, where, and why
Buyer caseWhat leadership can defend
Technical pathEHR, data, model, and governance logic
Economic proofBilling, ROI, and value-based care impact

Networked delivery

A focused firm model: one lead, the right collaborators, and a coherent work plan.

ValueStream can stay lean for targeted advisory work or bring in project-specific collaborators through clear scope, confidentiality, and data-use terms. The goal is simple: give clients practical answers they can use with clinical, technical, financial, and executive stakeholders.

Specialty clinician workflow and referral review
Data science, ML, NLP, and validation support
FHIR, SMART on FHIR, CDS Hooks, OMOP, and Epic workflow support
Coding, CPT, billing, and revenue-cycle expertise
Health economics, ROI, utilization, and policy analysis
Publication, abstract, white paper, and evidence-package development

Credibility signals

Proof built into delivery, not bolted on at the end.

The firm is positioned around operational AI, quality measurement, reimbursement, and implementation. Validating clinician work and turning it into trusted evidence is the flagship pattern; CigStopper and tobacco-treatment billing are one concrete example.

AI automation

Quality measurement and clinician work validation

CigStopper applies AI-enabled clinical documentation and billing eligibility detection to tobacco-treatment work, supported by peer-reviewed development, performance evaluation, and multi-institutional evidence.

Payment model design

CMMI and value-based care translation

Experience across alternative payment model design, eCQM and HEDIS alignment, care delivery strategy, social-risk payment logic, and policy-facing synthesis.

Operational informatics

EHR-integrated decision support

Academic and applied work across clinical AI evaluation, precision referrals, ambient AI ROI, OMOP quality measurement, Epic workflow, and implementation studies.

Ways clients use ValueStream

Start with the question that matters most, then size the engagement around the answer.

Some clients need a short strategic review. Others need evidence design, implementation support, or ongoing executive guidance. ValueStream is built to match the scope to the decision being made.

Operational strategy

Clinical, commercial, and workflow readiness

Pressure-test where a product or program fits, who needs to change behavior, what operational barriers matter, and what story buyers need to hear.

Evidence generation

Pilot, validation, and ROI design

Define the metrics, cohorts, analytic plan, clinician review process, implementation endpoints, and buyer-facing evidence package.

Implementation

Informatics and adoption support

Support EHR workflow design, CDS logic, FHIR strategy, governance, stakeholder alignment, rollout planning, and clinical adoption.

Fractional leadership

Executive-level clinical and product guidance

Provide recurring advisory support for product, clinical, evidence, commercialization, or implementation teams that need experienced healthcare leadership.

Founder and executive director

Senior-led advisory without pretending every project needs a giant team.

ValueStream is intentionally clinician executive-led. Engagements are led directly and supported by trusted collaborators when the project requires specialty review, technical delivery, reimbursement depth, policy analysis, or publication support.

Live evidence base

Publications and evidence base.

This live bibliography keeps the research layer current from publications by ValueStream’s executive director, refreshed from a public NCBI bibliography. It supports the firm’s advisory perspective while the consulting model remains organized around capability areas and project-specific teams.

  1. Real-time automated billing for tobacco treatment: performance evaluation of the CigStopper machine learning framework.
    Baughman DJ, Qassem L, Sulieman L, Matheny ME, Nelson SD, Anselm E, Tindle HA, Fabbri D, J Embi P. JAMIA Open. 2026 Apr;9(2):ooag026. doi: 10.1093/jamiaopen/ooag026. PMID: 41836278. PMCID: PMC12988480.
  2. Billing for tobacco cessation: enhancing data quality and revenue capture.
    Baughman DJ, Rauhut M, Mahajan I, McCoy A, Anselm E. Am J Manag Care. 2026 Apr;32(4):212-217. doi: 10.37765/ajmc.2026.89917. PMID: 42044419.
  3. Reimagining kidney value-based care: leveraging data science for dynamic, clinician-level risk prediction.
    Baughman DJ, Nagy P, Parikh CR. Curr Opin Nephrol Hypertens. 2026 May 1;35(3):360-366. doi: 10.1097/MNH.0000000000001162. PMID: 41631380.
  4. A multidimensional hierarchical framework for sources of bias in real-world healthcare evidence: a scoping review.
    Lee H, Xiong C, Baughman D, Dun C, Tong J, Martin B, Lehmann H, Nagy P. J Biomed Inform. 2026 Feb;174:104989. doi: 10.1016/j.jbi.2026.104989. PMID: 41571173.
  5. Utilizing National Survey Data to Benchmark Comprehensive Care in a Large Health System.
    Maier JS, Baughman D, Schiermeyer C, Kindler K. J Am Board Fam Med. 2025 Sep 15;38(3):561-565. doi: 10.3122/jabfm.2024.240254R1. PMID: 40789625. PMCID: PMC12616801.
  6. Methods for measuring comprehensiveness in primary care: a narrative review.
    Baughman D, Nasir R, Bazemore A. J Prim Health Care. 2025 Aug 5. doi: 10.1071/HC25101. PMID: 41133994.
  7. A Multi-Institutional Evaluation of Billing for Tobacco-Cessation Services: Opportunities to Improve Quality and Enhance Revenue Capture.
    Anselm E, Baughman DJ, Rauhut M, Martin T, Mahajan I, McCoy AB. AJPM Focus. 2025 Oct;4(5):100379. doi: 10.1016/j.focus.2025.100379. PMID: 40735225. PMCID: PMC12302150.
  8. Real-time automated billing for tobacco treatment: developing and validating a scalable machine learning approach.
    Baughman DJ, Qassem L, Sulieman L, Matheny ME, Fabbri D, Tindle HA, Goodman AC, Nelson SD, Wright A. JAMIA Open. 2025 Jun;8(3):ooaf039. doi: 10.1093/jamiaopen/ooaf039. PMID: 40510807. PMCID: PMC12161450.
  9. Why We Need to Add Health Policy Leadership to Our Skillset.
    Baughman DJ MD. Fam Pract Manag. 2025 Mar;32(2):36. PMID: 40068198.
  10. A Lost Opportunity in Tobacco Cessation Care: Impact of Underbilling in a Large Health System.
    Baughman DJ, Rauhut M, Anselm E. Am J Prev Med. 2025 Jan;68(1):23-30. doi: 10.1016/j.amepre.2024.08.010. PMID: 39179184.
  11. Recommendation for Long-term Management of Adult Attention-Deficit/Hyperactivity Disorder in Military Populations, Veterans, and Dependents: A Narrative Review.
    Baughman DJ, Watson CM, Beich JW, Herboso MNJ, Cuttie LK, Marlyne AC. Mil Med. 2024 May 18;189(5-6):e1343-e1352. doi: 10.1093/milmed/usad403. PMID: 37878798.
  12. Lost Opportunity in Tobacco Cessation Care: Impact of Underbilling in a Large Health System.
    Baughman D, Rauhut M, Anselm E. 2024 March. doi: 10.1101/2024.03.29.24304678.

Automatically updated from Derek Baughman’s NCBI bibliography.

Automatically refreshed from a public NCBI bibliography maintained by ValueStream’s executive director.

Independent consulting services are provided through ValueStream Health. Project collaborators, when used, are engaged through scope-specific terms. Academic, government, military, health system, and collaborator affiliations describe professional experience and do not imply institutional endorsement of ValueStream Health unless separately contracted.