Top 10 AI Prompts and Use Cases and in the Healthcare Industry in Fargo

Rural North Dakota health systems are already using telemedicine and AI-powered workflow automation to stretch scarce clinical capacity: Sanford Health's virtual clinics (including a remote pediatric pulmonology/remote clinic model that runs five days a week in Lidgerwood) show the practical payoff - more patients reached with the same staff and less “windshield time” for specialists.

Statewide examples (telehealth, home-based hospital care from Sanford Medical Center Fargo) mirror national trends where ambient scribing, AI scheduling and virtual triage free clinicians for direct care; see local leadership perspectives in Becker's Hospital Review and regional reporting on Sanford's Fargo programs.

For Fargo clinicians and administrators looking to steward safe, practical AI adoption, Nucamp's AI Essentials for Work bootcamp offers a 15-week, job-focused pathway to learn prompts, tools, and governance needed to pilot and scale solutions locally.

Learn more on implementation lessons from Becker's and register for skills training at Nucamp AI Essentials for Work 15‑Week Registration.

Program	Length	Early-bird Cost	Registration
AI Essentials for Work	15 Weeks	$3,582	Register for the Nucamp AI Essentials for Work 15‑Week Bootcamp

"At Denver Health, artificial intelligence helps our physicians reclaim face-to-face care time."

Each candidate prompt and use case was scored against a multidisciplinary checklist adapted from radiology procurement guidance - prioritizing clinical relevance, external validation, implementation and PACS/EHR integration, usability, and cost/ROI - as described in the radiology selection framework (Radiology AI selection checklist - Choosing the Right Artificial Intelligence Solutions for Your Radiology Department); ethical, legal, and regulatory risk was assessed using the narrative review of AI challenges (Ethical and regulatory challenges of AI in healthcare - narrative review) and mapped to life‑cycle controls such as privacy impact assessments and explainability from Stanford's AI core principles (AI life‑cycle core principles - Stanford Law School).

Prompts that reduce visible clinician burden with minimal workflow reconfiguration - examples include ambient scribing, EHR summarization, and automated radiology coding - were prioritized because they align with measurable ROI and clearer governance paths; final rankings required vendor transparency on validation, data use, and on‑prem/cloud options so Fargo providers can pilot safely within limited local IT and compliance capacity.

Generative AI ambient scribing - now embedded into Epic workflows via Nuance's DAX Express and as part of Microsoft's Dragon Copilot - automates specialty-specific note drafting, captures orders during visits, and summarizes encounters so clinicians spend less time on documentation and more with patients; see the Nuance DAX Express integration with Epic for vendor details and the Microsoft Dragon Copilot clinical documentation features for capabilities and security assurances.

Real-world pilots show measurable impact: Northwestern Medicine clinicians using DAX Copilot reported about 24% less time on notes and roughly 11.3 additional patients seen per provider per month, a concrete “so what” for Fargo and broader North Dakota systems where clinicians cover wide rural catchments - potentially expanding access without immediate new hires and cutting after‑hours charting.

These tools emphasize EHR integration, multilingual capture, and responsible‑AI controls, making them a practical first step for Fargo organizations ready to pilot ambient documentation with clear ROI metrics.

Item	Detail
US Availability	Dragon Copilot – United States: May 1, 2025
Core features	Automatic notes, orders capture, encounter summaries, multilingual/ambient capture
Pilot outcomes	~24% less note time; ~11.3 more patients/month (Northwestern Medicine)

“DAX Copilot has made my professional life easier... I can be right there with the patient and not furiously writing notes. I cannot thank you enough.” - Anita M. Kelsey, M.D., Duke Health

GE HealthCare's Spine Auto Views is an FDA‑cleared deep‑learning application that automatically generates anatomically oriented, reformatted spine CT images, labels vertebrae and disc spaces, and exports the results directly for radiologist reading - removing manual reformatting steps that often slow reporting in smaller hospitals and teleradiology networks; see the FDA listing for Spine Auto Views for device specifics and clearance details and GE's product overview from ECR/RSNA coverage for how it fits into the vendor's Effortless Workflow suite.

For Fargo-area systems juggling multi-site on‑call coverage and limited technologist bandwidth, Spine Auto Views provides standardized, repeatable spine views that reduce variability in reads and streamline PACS handoffs - an operational “so what” that supports faster, more consistent spine reporting without new scanner hardware.

Item	Detail
Product	Spine Auto Views FDA 510(k) K223424 product listing - GE Medical Systems SCS
FDA clearance date	7/13/2023
Core capability	Automated oriented/labeled spinal reformats; vertebrae and disc-space labeling; automatic export for radiologist reading
Context	GE Healthcare Effortless Workflow ECR/RSNA product updates and coverage

Ensemble Health Partners' RCM‑Gen, part of the EIQ® revenue‑cycle AI platform, uses generative models to scan the EHR for diagnoses, procedures and clinician notes, draft claim summaries, and - where rules allow - trigger submissions or appeals; the system's 11th US patent was granted January 13, 2025 and vendor reports show it automated roughly 25% of transactions in select revenue‑cycle categories, a concrete “so what” for Fargo-area hospitals where small billing teams face high denial rates and tight cash flow.

RCM‑Gen's automated summaries and appeal drafting reduce manual claims work and payer friction, lowering administrative burden and helping rural health systems convert documentation into timely revenue; see the Ensemble Health Partners RCM‑Gen product overview and patent notes for core capabilities and implementation context and learn how local AI efficiency programs align with Fargo priorities in Nucamp's AI Essentials for Work syllabus.

Item	Detail
Product	Ensemble Health Partners RCM‑Gen generative revenue-cycle AI overview
Organization	Ensemble Health Partners
Patent	11th US patent granted January 13, 2025
Core capability	Generative EHR summarization, claim drafting, triggers for submissions/appeals
Impact	Automated ~25% of transactions in select revenue‑cycle categories; reduces staff burden
Nucamp resource	Nucamp AI Essentials for Work syllabus - practical AI skills for workplace efficiency

UpDoc's voice-based AI assistant brings clinician-directed Remote Patient Intervention (RPI) into the home, using smart speakers to capture spoken blood‑glucose reports and deliver personalized insulin‑titration guidance under clinical oversight; see UpDoc clinical validation and remote patient intervention details for platform, partnerships, and trial background at UpDoc clinical validation and remote patient intervention details.

In a Stanford randomized trial cited by vendor summaries and independent coverage, 81% of patients using the voice assistant reached target glucose versus 25% with standard care, with AI-managed patients needing far fewer doctor appointments and showing higher medication adherence - an outcome that matters in Fargo where long travel distances and limited endocrinology access make remote, low‑literacy interfaces especially valuable (read independent analysis of voice-assisted insulin dosing trials in TechTarget's coverage at independent analysis of voice-assisted insulin dosing trials).

UpDoc's US patent (No. 12,251,242 B1, Mar 18, 2025) and early health‑system deployments position the technology as a practical, monitored way to speed safe titration and reduce clinic burden for rural diabetes populations.

Item	Detail
Patent	US Patent No. 12,251,242 B1 (granted Mar 18, 2025)
Clinical evidence	Stanford trial - 81% reached target glucose vs 25% (fewer appointments, higher adherence)
Core capability	Voice capture on smart speakers + clinician‑directed insulin titration guidance
Market status	Clinical validation and early deployments via health‑system partnerships (RPI model)

“We look forward to collaborating with UpDoc as they help pioneer the use of patient‑facing conversational AI for remote patient interventions.” - Peter Durlach, Microsoft Health & Life Sciences (excerpt)

Conversational AI symptom‑checkers - exemplified by Ada and similar chatbots - offer Fargo a scalable digital front door for triage and early mental‑health screening, routing many users to lower‑intensity care and reducing unnecessary long drives to specialty clinics.

Vignette testing found Ada matched textbook diagnoses for adult mental disorders with 68% agreement (Cohen's kappa = 0.64), rising to 85% agreement when differential diagnoses were included and to kappa = 0.78 with psychotherapist users, with assessments averaging ~34 questions and ~7 minutes per case (JMIR Formative Research: Ada diagnostic study on AI symptom checker agreement and performance).

Real‑world evaluations also report high triage safety (~94.7%) and that roughly 43.4% of low‑acuity ED patients could have been advised to seek lower‑intensity care - an operational “so what” for rural North Dakota, where one avoided ED trip can save hours for patients and free scarce clinic capacity (Ada research and triage safety summaries: real-world safety and impact studies).

Local pilots should explicitly test pediatric coverage, user expertise effects, and clinician oversight before scaling.

Metric	Result
Adult mental‑disorder agreement	68% (kappa = 0.64)
Agreement including differentials	85% (kappa = 0.82)
Expert user performance	Psychotherapists: kappa = 0.78
Assessment effort	~34 questions; ~7 minutes
Triage safety (real‑world)	~94.7%; 43.4% could be directed to lower‑intensity care

Renovaro's recently allowed patents describe a federated learning architecture that trains robust AI across decentralized biomedical datasets - EHRs, imaging, genomics, and trial data - without exchanging raw patient records, a capability that directly addresses the data-silo problem rural health systems face; see Renovaro's July 28, 2025 press release on the patent allowances and independent coverage summarizing the federated‑learning breakthrough.

For Fargo and wider North Dakota networks, that approach offers a practical path to join multicenter model training without moving PHI offsite, increasing statistical power for rare‑disease studies and trial optimization while preserving local control over sensitive records.

The patents emphasize bi‑directional security and reproducible, scalable models - concrete features that can shorten validation cycles for precision‑medicine pilots and make partnerships with care‑coordination platforms more tractable for small IT teams.

Learn more in Renovaro's filing details and industry reporting on the new IP.

Patent / App	Core capability
U.S. App. No. 18/058,732; 18/058,752; US No. 11,379,757	Federated learning across heterogeneous biomedical data; unbiased drug‑discovery predictions; bi‑directional data security

“This patent is a strategic milestone for Renovaro,” said David Weinstein, CEO of Renovaro.

Ransomware and AI‑driven attacks now pose an operational threat to Fargo-area care: Microsoft Threat Intelligence details a 300% surge in ransomware since 2015, 389 U.S. healthcare institutions hit in the latest fiscal year, and average admitted ransom payments of $4.4M (median $1.5M), with attacks driving daily downtime costs near $900,000 and producing ripple effects - unaffected hospitals saw ED census rise ~15% and waiting times jump ~47% - so a single breach can quickly overwhelm nearby North Dakota providers with limited surge capacity; practical defenses combine Microsoft's threat‑intelligence playbook for detection, governance, and regional information‑sharing with prevention‑first tools like Deep Instinct's deep‑learning DSX, which the vendor says stops zero‑day threats in under 20 ms and adds GenAI explainability for SOC teams.

For Fargo IT and clinical leaders, the “so what” is concrete: faster, automated preemption and regional collaboration can prevent hours of diverted ambulances and days of manual chart recovery - making prompt investment in layered detection, phishing training, offline backups, and vendor‑validated prevention solutions a cost‑effective resilience strategy (Microsoft report: Strengthening resiliency against ransomware in U.S. healthcare; Deep Instinct Threat Research Report on AI-driven attacks and prevention).

Metric	Value / Source
Ransomware increase since 2015	~300% (Microsoft)
U.S. healthcare institutions hit (FY)	389 (Microsoft)
Average admitted ransom payment	$4.4M (median $1.5M) (Microsoft)
ED census increase at unaffected hospitals	+15.1% (case ripple effect, Microsoft)
EMS arrivals during attacks	+35.2% (Microsoft)
Deep Instinct prevention claim	Prevents unknown threats <20 ms; DSX Brain >99% accuracy (Deep Instinct)

StaffDNA's talent‑matching platform turns transparent pay, real‑time marketplace data, and mobile-first job controls into practical hiring leverage for Fargo-area hospitals and long‑term care facilities that compete for travel, per‑diem, and local clinicians; the app lists full job details and lets candidates personalize pay packages and benefits so hiring teams can see what it takes to close a shift without defaulting to expensive agency markups - an operational “so what” for North Dakota systems that must recruit across long distances and tight budgets.

For organizations wanting market visibility, StaffDNA's client tools (now extended by the DNAInsights product) publish live local pay comparisons so hiring managers can adjust offers quickly, while the platform's nationwide footprint and patent-backed matching logic aim to speed candidate supply and reduce vacancy time.

Learn more in StaffDNA's platform announcement and the DNAInsights client release.

Item	Detail
Platform announcement	StaffDNA platform launch and patent filings - StaffDNA files 26 patents (May 31, 2023)
Workforce data product	DNAInsights real‑time pay and market data product announcement (Aug 13, 2025)
Reach	Platform lists opportunities across >6,000 facilities; vendor reports >2M app downloads
Core features	Pay transparency, customizable pay/benefits, job booking, timesheets, market pay comparisons

“We've successfully engineered a world-changing technology solution with application across industries worldwide. We're equalizing the playing field with tech that allows anyone to find and choose the job they want. They can even choose the benefits they want for themselves and their family and instantly see how it affects their pay. Employers are now finding the right candidate and much faster.” - Sheldon Arora, CEO

Avalon APEA real‑time edits bring claims and utilization management into the clinic's workflow by catching payer rule conflicts and coding gaps at point‑of‑care so bills leave the hospital more complete and denials fall - an operational “so what” for Fargo: smaller billing teams spend less time on rework and more on high‑value appeals and patient outreach, improving cash flow and clinic capacity.

When paired with generative RCM tools that draft summaries and appeals (Ensemble's RCM‑Gen automated roughly 25% of transactions in vendor pilots), real‑time edits create a two‑tier automation strategy - prevent the predictable errors up front and accelerate the remaining work downstream.

Local leaders should pilot edits on high‑volume CPT groups and measure denial‑rate change and days‑sales‑outstanding before broad rollout; practical guidance and workforce upskilling for these pilots are covered in Nucamp AI Essentials for Work local briefings on AI in healthcare and in the Complete Guide to Using AI in Fargo in 2025.

Combining Persivia CareSpace's population‑health and care‑management stack with GPU‑accelerated genomics from NVIDIA Clara Parabricks makes personalized care planning practical for North Dakota's rural networks: Persivia case studies show rapid EHR integration (500 practices in 90 days), major operational wins and documented savings, including multimillion‑dollar impacts and reductions in readmissions, while NVIDIA Parabricks speeds whole‑genome secondary analysis (vendor benchmarks cite up to 135x faster WGS and up to 50% lower compute cost), shrinking analysis from days to minutes and enabling clinicians to act on genomic risk flags within the same care cycle.

For Fargo systems that must manage long drives and small care teams, this pairing creates a concrete “so what”: identify high‑risk cohorts faster, generate tailored care plans and outreach lists, and deploy care managers or telehealth interventions before a preventable admission occurs.

See Persivia's case studies for care‑management outcomes and NVIDIA Clara Parabricks for genomics capabilities.

Solution	Key detail / vendor claim
Persivia CareSpace case studies - rapid EHR integration and care‑management outcomes	Rapid EHR integration (500 practices/90 days); operational efficiency gains; multimillion‑dollar savings; reductions in 30‑day readmissions
NVIDIA Clara Parabricks genomics - GPU‑accelerated whole‑genome analysis	GPU‑accelerated genomics - up to 135x faster WGS; up to 50% lower compute cost; transforms analysis from days to minutes

Start with small, well‑scoped pilots - ambient scribing or a targeted RCM edit on high‑volume CPT groups - and embed clear controls so Fargo hospitals gain measurable capacity without exposing PHI: pilot evidence (Nuance DAX/Northwestern) showed roughly 24% less note time and about 11.3 more patients per provider per month, a tangible “so what” for rural clinics that face long drives and limited staff.

Pair every pilot with the North Dakota playbook: follow the North Dakota HHS HIPAA Notice and required PHI safeguards and the NDIT Artificial Intelligence Guidelines (contact aiquestions@nd.gov) (avoid public AI for PHI, run AI risk assessments, and route enterprise apps through the intake process) so governance keeps pace with deployment; legal and privacy teams should insist on robust BAAs and minimum‑necessary designs as highlighted in recent HIPAA/AI guidance.

Inventory AI assets, run AI‑specific risk analyses, and start workforce upskilling - Nucamp's 15‑week AI Essentials for Work bootcamp syllabus prepares operational teams to write safer prompts and manage pilots - so Fargo leaders can scale from one controlled win to systemwide value while limiting rework, denial risk, and breach exposure.

Item	Key detail
HHS HIPAA Notice	Effective Feb 1, 2025; HHS designated as a HIPAA hybrid entity - North Dakota HHS HIPAA Notice
NDIT AI Guidelines	Recommend AI risk assessments, avoid public AI for PHI, consult NDIT intake; contact aiquestions@nd.gov - NDIT AI guidelines contact
Pilot play	Start with ambient scribing or targeted RCM edits and measure clinician time saved, denial‑rate change, and DSO

“This patent is a strategic milestone for Renovaro.” - Ludo Fourrage, CEO (on federated learning IP)