HEALTHCARE · AI IN CLINICAL WORKFLOWS
Independent governance, oversight, and managed technology services for the AI that is already embedded in clinical care, and the AI that is about to be.
THE AI REALITY
AI is already in your clinical workflow. Ambient scribes are writing notes. AI is pre-reading imaging. Clinical decision support is firing alerts. Sepsis models are triggering rapid response. And in most hospitals, nobody owns governance. The FDA, ONC, and HHS have all issued guidance, payers are starting to ask questions, and state AGs are writing laws. Healthcare AI is no longer emerging. It is operational, and it needs the same governance discipline as any other clinical technology.
Sentinel Solutions Group makes sure those decisions land in your favor, whether you are piloting your first ambient scribe or building an AI governance committee for an IDN. We do not sell the technology. We govern the decisions around it.
1,000+
FDA-authorized AI/ML medical devices (FDA, 2024)
<20%
of health systems have deployed at least one AI solution (AHA)
<20%
have a formal AI governance committee (HIMSS)
CHALLENGE
Health systems are deploying AI at speed (ambient scribes, AI-read imaging, clinical decision support, sepsis and deterioration models, revenue cycle automation, patient-facing chatbots) while vendors compete to lock them into platforms they may not be able to evaluate. The clinicians using these tools and the executives approving them rarely have an independent technical voice in the room. Sentinel fills that gap: practitioner-led advisory, vendor-neutral evaluation, and AI governance built by people who understand clinical operations, not just machine learning.
THE CHALLENGES
CMOs, CMIOs, and IT directors are navigating a landscape that punishes the wrong technology decision and rewards the right one. These are the pressures we help hospitals manage.
Who approves new AI tools? Who monitors drift? Who owns bias testing? Who owns the clinician override protocol? Governance bodies have to exist, have authority, and have teeth.
Ambient scribes are the fastest-adopted AI in healthcare. They also change what ends up in the legal record. Contract terms, validation, and oversight cannot be left to the vendor.
Black-box AI in clinical care is not acceptable. Bias testing, performance monitoring, drift detection, and clinical impact assessment are the new table stakes.
SaaS pricing escalation, proprietary data formats, hidden integration fees, and vague SLAs are baked into most public-safety vendor contracts. Without independent scrutiny, hospitals sign deals that punish them at every renewal.
Patient safety and clinical outcomes depend on data flowing across EHR, HIE, lab, pharmacy, imaging, and revenue cycle systems, and with regional hospitals, state HIEs, public health agencies, and payers. Most hospitals still struggle with basic interoperability.
New technology only works if nurses, physicians, and clinical staff actually use it. Recruiting, training, and change management are as critical as the platform itself, and they are routinely under-budgeted in modernization programs.
OUR APPROACH
Sentinel was built by people who came up inside healthcare and the technology that supports it. Our team brings decades of bedside, administrative, and engineering experience across the largest health systems in the region, then trained clinicians on technology, workflow, and process. Our advisory board includes practicing clinicians and leaders (nurses, physicians, and clinical directors) who have served everywhere from agriculture country to the largest metro departments. That lived experience shapes every recommendation we make.
We understand the operational reality of healthcare because we have lived it. Our team knows what clinicians need at 2 a.m., and we know how to translate that into the procurement, governance, and contract language that protects the hospital long after.
We have built, sold, and deployed the EHR, HIE, clinical applications, and clinical documentation platforms healthcare organizations are evaluating. We know the contract language, the hidden SKUs, the integration gotchas, and the renewal traps that vendors do not advertise.
Our co-founder served as a Principal Systems Engineer overseeing some of the most complex healthcare IT environments in the country, and our advisory board adds decades of additional engineering depth across HIPAA, networks, infrastructure, and cybersecurity.
You do not get a single consultant, you get the full bench. Our advisory board of practicing clinicians, nursing leaders, and healthcare IT veterans is actively involved in every engagement, tailored to your specific program. Sentinel is one of the only firms that brings both deep technical expertise and operational breadth directly tied to mission-critical clinical operations.
Most consultancies frame the work as picking the right vendor. Sentinel frames it as governing the AI clinical workflow program, not the platform. The vendors come and go. The contracts get rewritten. The audit cycle never stops. Someone needs to be accountable to the organization, not to the next sales target.
That is the work Sentinel does. We sit on the organization side of the table, every meeting, every decision, every cycle. No resale margin. No referral fees. No commissions on the contracts we recommend. The only loyalty is to the operation.
We govern the program. We never sell the platforms.
AI is being marketed into the clinical workflow faster than the standard of care is being defined. The technology decisions made today will be operating during the next sentinel event, the next OCR inquiry, and the next standard-of-care malpractice review. These are the forces shaping those decisions.
FDA has progressively expanded the AI/ML-enabled medical device pathway, with hundreds of authorized devices now in clinical use and predetermined change control plans entering practice. Approval at the device level does not transfer the organizational responsibility for safe deployment, monitoring, and outcome documentation.
Sentinel implication: An organization that treats FDA approval as deployment authorization is treating a regulatory milestone as an operational standard. The clinical governance question is the deployment question, regardless of FDA status.
Source: FDA Software as a Medical Device (SaMD) guidance; FDA AI/ML-Enabled Medical Devices list; FDA Predetermined Change Control Plan guidance
Demographic accuracy disparities in clinical AI, documented across published peer-reviewed studies and academic medical center evaluations, have made bias evaluation a procurement requirement. NIST AI RMF, AMA principles, and emerging state laws have raised the evaluation bar.
Sentinel implication: An organization that adopts clinical AI without documented bias evaluation is making patient-care commitments that may not hold up at the next equity audit or malpractice review. The evaluation methodology precedes the procurement.
Source: NIST AI Risk Management Framework (AI RMF 1.0); AMA Augmented Intelligence in Medicine principles; published peer-reviewed studies on clinical AI demographic accuracy
ONC HTI-1 final rule established transparency requirements for predictive Decision Support Interventions in certified EHRs, including documentation of intended use, training data characteristics, and performance metrics. Implementation deadlines have begun, and the enforcement scope continues to expand.
Sentinel implication: An organization whose AI inventory does not match HTI-1 transparency expectations is producing a future certification finding. The transparency posture and the EHR certification posture are now the same posture.
Source: ONC HTI-1 Final Rule (Health Data, Technology, and Interoperability); ONC HTI-2 proposed rulemaking; CMS interoperability and AI guidance
AI model performance can degrade over time as patient populations, clinical practice, and data inputs shift. FDA, ONC, and academic literature have progressively pushed continuous performance monitoring as a deployment-time responsibility, not a vendor-only obligation.
Sentinel implication: An organization whose clinical AI deployment does not include continuous monitoring is accepting a model whose performance may have changed since deployment. The monitoring infrastructure precedes the deployment authorization.
Source: FDA postmarket cybersecurity and AI/ML guidance; National Academy of Medicine (NAM) AI in healthcare publications; published research on clinical AI model drift
Medical malpractice case law involving AI-assisted decisions is still developing, but professional society positions, AMA guidance, and academic legal research have begun to articulate the standard-of-care implications of AI use, non-use, and configuration. The conversation has moved from "if" to "how."
Sentinel implication: An organization that deploys clinical AI without a documented governance posture is creating a future standard-of-care exposure. The governance documentation is the liability defense.
Source: AMA Augmented Intelligence in Medicine policy; academic legal research on AI standard of care; specialty society policy statements on AI use
CORE CAPABILITIES
Every engagement is anchored in six disciplines that protect hospitals from bad decisions, bad contracts, and bad outcomes.
Clinicians will use a system if it is built for them and rolled out the right way, and abandon it if it is not. We design change strategies informed by real-world deployments, including our founder’s Joint Commission to ICD-10 national coding transition experience, so adoption sticks.
We identify the technical, operational, contractual, cyber, HIPAA, and political risks that threaten your program, and build mitigation strategies your CEO, CMO, or board can defend in any audit, after-action, or community meeting.
RFP development, scoring rubric design, vendor evaluation, reference checks, contract negotiation, and SOW authoring. We level the playing field so the best fit wins, not the best sales team or the slickest demo.
PMP-disciplined program governance with public-sector fluency. We structure work for political visibility, audit defensibility, and multi-administration continuity, so your modernization survives elections, budget cycles, and command turnover.
Beyond advisory. Sentinel can operate alongside your team, maintaining EHR and clinical systems environments, mobile data infrastructure, clinical archives, networks, cybersecurity controls, and every system that touches patient safety and clinical integrity.
We watch the vendor so you do not have to. Independent verification and validation across milestones, data conversion, acceptance testing, training, go-live, and warranty, keeping vendors accountable to the contract you signed.
Most firms specialize in one slice, the EHR, the revenue cycle, the imaging, the analytics. We have sat at every seat and engineered every layer. This signature is how we see the full arc, and where Sentinel sits most actively.
Five ongoing services shaped by the pressures of modern healthcare. Records systems kept clean against CMS and Joint Commission reporting standards, critical incidents reviewed with defensibility in mind, and clinical analytics built to actually reduce time-to-resolution.
Ongoing EHR configuration, user management, reporting setup, and system optimization.
Continuous validation of reporting data to ensure CMS and Joint Commission reporting accuracy, with audit-ready documentation.
Independent analysis of high-risk incidents to identify trends and reduce liability exposure.
Streamlining body camera and clinical documentation processes to reduce backlog and improve audit and compliance readiness.
Full lifecycle support for RTCC development, including staffing models, workflows, and technology integration.
OUR PRACTICES
Every Sentinel engagement is governed by proprietary practices built for the realities of healthcare technology, not borrowed from commercial IT playbooks.
PROGRAM MANAGEMENT
How we govern your program.
PMP-disciplined program governance structured for multi-jurisdictional complexity, elected leadership accountability, and federal grant compliance. Every milestone and decision gate is designed for the healthcare reality, where executive transitions, board oversight, CMS mandates, and union negotiations shape the timeline more than any vendor’s project plan.
CHANGE MANAGEMENT
How we prepare your people.
Organizational change management built for bedside clinicians, charge nurses, and clinical leadership, not corporate end users. We design adoption strategies informed by shift rotations, union dynamics, field deployment realities, and the operational truth that your EHR and clinical systems cannot go dark for training. When the new system goes live, your clinicians and staff are ready.
CONFIGURATION AUTHORITY
How we own the configuration.
Configuration authority for ambient AI scribe deployments, clinical decision support integration, AI-read imaging platforms, and clinical AI governance frameworks. Sentinel owns the foundational decisions around model selection, human-in-the-loop design, bias monitoring, clinical validation, and escalation criteria, producing the Blueprint, training, and administrator documentation that keeps AI governable across the clinical enterprise.
VALUE ASSURANCE
How we prove the value.
Post-deployment governance for your AI clinical workflow investment. Sentinel independently measures whether model accuracy, clinician trust, and documented care outcomes specified at procurement are being realized in clinical production, and documents vendor accountability when AI performance drifts from committed levels.
After engagement closes, Sentinel Sustain keeps the practice active across the life of the investment. Three tiers: Core, Active, and Strategic.
Learn more →Four practices, applied to one operating environment: the clinical workflow where AI is being introduced into care, with documentation requirements that follow the model for years. Each practice carries a specific scope and a specific deliverable cadence.
On a clinical AI deployment, ambient documentation rollout, or imaging-AI integration program, SDF runs the phase plan, the gate reviews, and the vendor accountability cadence under FDA SaMD and ONC HTI-1 oversight. The chief medical informatics officer sees a defensible program record at every board update, and a documented audit trail at every regulatory cycle. SDF holds the program steady through model updates, vendor changes, and the inevitable mid-deployment surprise.
When an organization introduces clinical AI, ambient documentation, or AI-assisted imaging into the workflow, SRM prepares the clinical workforce for what changes and what stays the same. Clinician adoption analysis, super-user enablement, governance committee coordination, and the post-go-live support cadence are scoped against clinical reality and human-in-the-loop integrity.
During AI deployment, model configuration, or HTI-1 transparency posture build, SDB is the practitioner-delivered configuration authority that sits on the organization's side of the table. Model thresholds, human-in-the-loop logic, bias-monitoring configuration, predictive DSI inventory, FDA SaMD posture, and the technical decisions vendors typically push back on are documented with the organization's answer in the room. SDB is delivered by Sentinel practitioners. It is not offered as training.
Twelve, twenty-four, and thirty-six months after deployment, with continuous bias and accuracy review and model-drift monitoring, SVA reviews whether the AI is performing to the documented intent: clinical accuracy, demographic parity, model-drift indicators, and configuration drift the organization did not see at procurement time. The findings are advisory and non-binding by design. Sentinel documents. We do not litigate. No legal representation. No expert witness role. SVA is delivered by Sentinel practitioners. It is not offered as training.
DEEP EXPERTISE
These are the specific platforms, standards, protocols, and operational disciplines we work in every day.
WE KNOW THE TRICKS OF THE TRADE
These are the traps that consume budgets, derail timelines, and leave hospitals stuck with systems that do not serve them. We have seen them firsthand, and we know exactly how to neutralize them.
01
EHR and clinical platform vendors that encode patient data, workflow metadata, and report templates in formats only they can read. We insist on open data standards, documented schemas, and exportability clauses before the contract is signed.
02
The line items that appear after go-live: lab interfaces, imaging integrations, pharmacy connectors, HIE feeds, and “professional services” fees for every custom API call. We surface them during procurement, not after.
03
Per-user licensing that escalates with system growth, storage tiers that punish retention compliance, and per-export fees for clinical documents or data migration. We negotiate caps, predictable storage costs, and portability terms up front.
04
Cloud and managed-service vendors that sign HIPAA attestations they cannot actually fulfill, leaving your organization holding the bag at audit time. We verify HIPAA posture before the contract, not after the breach.
05
Vendors who promise “intuitive” platforms and deliver weeks of clinician training your team was never warned about. We demand realistic training hours, super-user programs, and protected ramp-up periods in the SOW.
06
Organizations that sign based on demos and reference calls curated by the vendor. We conduct independent reference checks and dig into how the platform actually performs at organizations of comparable size and complexity.
WHO YOU ARE WORKING WITH
The people who lead every Sentinel engagement have spent their careers inside hospitals, behind the engineering consoles of the country’s most complex clinical systems, and at the bedside and nursing stations that keep patients safe.
HEALTHCARE OPERATIONS & NURSING LEADERSHIP
HEALTHCARE, CLINICAL OPERATIONS & PATIENT SAFETY ADVISORY
Also Supporting Your Program
The right engagement depends on where the organization is in the AI rollout lifecycle. Each tier has its own scope discipline and its own deliverable cadence.
End-to-end managed operations for the AI clinical decision support, ambient documentation, imaging assistance, and workflow-augmentation infrastructure Sentinel helped you deploy. Sustainment, model-drift monitoring, vendor coordination, and 24/7 incident response. The AI is still flagging the right cases at the right moment, because someone is still accountable for the model and the workflow at once.
We govern the program. We never sell the platforms.
Read moreOngoing retainer with quarterly governance reviews, pre-decision advisory, and an open line for board response, clinical-leadership coordination, FDA SaMD posture, and vendor escalations. The organization has independent counsel on the technology side of the table, before the next AI vendor pitch, the next algorithmic-bias inquiry, or the next regulatory update.
Sentinel documents. We do not litigate.
Read moreAnchored to one of SDF, SRM, SDB, or SVA. Best when the organization knows which discipline is needed: an AI clinical deployment, clinician adoption change readiness, configuration authority on model thresholds and human-in-the-loop logic, or post-deployment outcome governance with bias and accuracy review. Fixed scope, named practice, defined deliverables.
Independent. Practitioner-led. Vendor-neutral.
Explore subscriptionsA specialized service plus a signature practice plus Sentinel Institute training, packaged as a single integrated engagement. For organizations standing up an AI clinical workflow capability from scratch and building the institutional capacity to govern it through model updates, vendor changes, and the next regulatory cycle.
Cutting-edge. Never bleeding-edge.
Read moreTemplates, Tools, and Office Hours
Low-touch entry tier. Sentinel templates, tools, reference materials, and scheduled office hours. The agency runs its own program; Sentinel provides the assets and answers the questions when they come up. No retainer, no embedded staff, no committed scope.
Best when: The agency wants Sentinel's templates and judgment but is not ready to engage a subscription. A starting point that can scale up if the program grows.
Built for the agency. Sized for the start.
Read more about Standard Access →Most organizations run multiple technology programs at once. Sentinel work in AI clinical work typically pairs with one or more of these companion disciplines, where the same governance discipline applies.
AI governance posture and EHR governance posture are the same posture.
AI governance and cyber governance are the same governance discipline.
AI governance discipline transfers across healthcare and public safety deployments.
A thirty-minute conversation about your program, your timing, and what is actually going to get used. Then we will recommend an engagement, a subscription, or no action at all. Whatever the organization actually needs.
Schedule a conversation