Top 10 AI Prompts and Use Cases and in the Healthcare Industry in Las Vegas

Las Vegas is fast becoming a hotspot for healthcare AI because major convenings and vendor showcases concentrate buyers, startups, and pilots in one place - HLTH USA's AI agenda outlines how AI is remaking diagnostics, drug discovery, operations, and personalized medicine, while the Ai4 Healthcare track (MGM Grand, Aug 11–13, 2025) spotlights provider-focused deployments and real-world use cases; together with lessons from HIMSS25, these events create a near-term pipeline of pilots, funding, and hiring that Nevada hospitals and clinics can tap to cut costs and speed adoption.

For local teams and nontechnical staff, practical training matters: the 15-week AI Essentials for Work curriculum trains people to write prompts and apply AI across day-to-day clinical and administrative workflows, turning conference signals into on-the-ground improvements.

Program	Details
AI Essentials for Work	AI Essentials for Work
Length	15 Weeks
Focus	Foundations, Writing AI Prompts, Job-Based Practical AI Skills
Early-bird Cost	$3,582
Register	AI Essentials for Work - Registration (Nucamp)

“Walking through the exhibit floor, I was struck by the tangible solutions being demonstrated – real-world applications that are no longer just concepts but are actively transforming patient care.” - Gabriela Mustata Wilson

Selection prioritized AI prompts and use cases that match real-world needs in Nevada health systems: clinical impact (diagnostics, drug discovery, personalized medicine), measurable operational ROI (workflow automation, claims/risk reduction), regulatory and data-security readiness, and seamless EHR integration - criteria drawn directly from HLTH's AI agenda and challenge areas.

Signals for inclusion were twofold: solutions showcased in HLTH's AI programs and Market Connect that demonstrate vendor–buyer traction in Las Vegas, and use cases designed to scale beyond pilots into enterprise deployments without disrupting care (a key HLTH focus).

Local relevance was weighted by Nevada regulatory considerations and job-role readiness so prompts help clinicians and administrators adopt tools quickly. The result: ten prompts mapped to high-value workflows (triage prioritization, imaging read augmentation, revenue-cycle automation, patient chatbots) chosen for clear pathways to measurable savings and faster time-to-adoption in Las Vegas health systems.

Read the HLTH AI overview and guidance on scaling pilots for deployment decisions: HLTH AI overview and scaling guidance.

HLTH 2025 - Key Facts	Detail
Dates	October 19–22, 2025
Attendees	12,000+
Speakers	400+

Huiying Medical's AI imaging suite - trained on CT chest data from more than 4,000 confirmed cases and designed to analyze ground‑glass opacity (GGO) and other indicators - claims a 96% classification rate for novel coronavirus pneumonia and can process a 500‑image CT study in about 2–3 seconds, deployable in the cloud or on‑premises and packaged to run with Intel OpenVINO and Xeon processors; Nevada health systems evaluating rapid-read tools should weigh that near‑real‑time throughput against professional guidance (the ACR and CDC caution that CT alone shouldn't be used to diagnose COVID‑19) and the broader risks around provenance and security highlighted by reports of exposed source code and experimental data.

For Las Vegas hospitals facing radiologist shortages and high ED imaging volumes, Huiying's performance and quick installation (about one day) could provide decision‑support at scale, but local pilots must validate accuracy against regional case mixes, regulatory rules, and cybersecurity controls before clinical rollout - see coverage of the company's claims and caveats on VentureBeat coverage of Huiying Medical AI claims, the vendor profile on the Intel AI Builders vendor profile for Huiying Medical, and reporting on data breaches that underscore supply‑chain risk (Cyble report on Huiying Medical data breach).

Specification	Detail
Claimed accuracy	96% NCP classification rate
Training data	>4,000 confirmed CT cases
Processing speed	2–3 seconds per 500‑image CT study
Deployments	Reported in 20+ hospitals; cloud or on‑premise
Tech partners	Intel (OpenVINO, Xeon), Huawei distribution

Enlitic's ENDEX™ reframes real‑time triage and prioritization for Nevada radiology services by standardizing messy DICOM labels, auto‑correcting errors (it even catches typos like “CT Brian” so studies don't get missed), and routing only the clinically relevant series to the right worklist - features that reduce manual hunting through studies and help EDs and teleradiology teams get answers faster when minutes matter.

The platform's AI‑driven hanging protocols and intelligent worklist curation are built to scale across enterprise PACS, enabling cross‑state credentialing workflows that matter to Las Vegas hospitals using remote reads overnight, and Enlitic reports average radiologist efficiency gains of over 10% after deployment.

By converting scattered image metadata into consistent, clinically relevant labels and enabling faster AI orchestration, ENDEX™ also lowers IT overhead and clears the path for compliant data sharing and research uses.

Learn how the product rethinks radiology workflow on Enlitic's radiology page and read about the NewVue partnership that extends real‑time data normalization for improved worklist curation.

Capability	Impact
Standardized study labels (ENDEX™)	Faster routing; fewer missed studies
Intelligent worklists	Radiologist productivity +10% (reported)
AI orchestration / data normalization	Better triage, research-ready archives

“Our combined expertise with NewVue will significantly improve operational efficiency for shared customers. This collaboration reflects our mutual commitment to leveraging AI to simplify complex data management processes and ultimately improve patient care.” - Michael Sistenich, CEO of Enlitic

SOPHiA GENETICS' SOPHiA DDM platform brings IVDR‑certified, cloud‑native analytics to Nevada labs and cancer centers, uniting genomics, radiomics, and multimodal data to speed precise treatment planning while keeping samples and sensitive results under local control; its genomics module streamlines NGS-to-report workflows with CAP‑ and CLIA‑compliant reporting and interoperable hooks for EHRs and LIMS so community hospitals can scale precision oncology without long vendor integrations (SOPHiA DDM platform overview).

For hematology and oncology teams in Las Vegas, the platform's CUMIN™ molecular barcoding and MRD analytics can detect variants below 0.01% VAF - meaning measurable residual disease that would otherwise be missed can be tracked longitudinally to inform faster, personalized treatment decisions (SOPHiA DDM MRD solution).

Community labs benefit from faster turnaround, standardized variant annotation drawn from curated databases, and built‑in safeguards (HIPAA, IVDR, ISO certifications) that simplify regulatory readiness for local pilots and clinical research collaborations.

Capability	Detail
Modules	Genomics, Radiomics, Multimodal
MRD sensitivity	Detects variants <0.01% VAF (CUMIN™)
Reporting & compliance	CAP/CLIA‑compliant reports; IVDR, HIPAA, ISO certifications
Interoperability	Integrates with sequencers, EHR, LIMS; cloud or in‑house deployment

“This longitudinal interface represents the solution we've been seeking to unite our oncologists in embracing NGS for every case. It's the missing piece that unlocks a new frontier in data-driven medicine.” - Dr. Christophe Marzac, Gustave Roussy Institute

Schrödinger's physics‑based computational platform, grounded in more than 30 years of R&D, combines atom‑level simulations with machine‑learning workflows to prioritize drug candidates in silico - so Las Vegas research teams and health systems that lack large on‑prem HPC can still evaluate vastly more chemistry before any wet‑lab work.

The platform's models can require roughly “a GPU day per molecule,” which is why cloud bursting on partners like Google Cloud lets teams spin up tens of thousands of GPUs on demand to test millions‑to‑billions of compounds and shrink early discovery timelines that traditionally took years; this compute model is documented in Schrödinger's platform materials and their Google Cloud case study.

Recent enterprise moves - such as adopting Sapio's lab informatics to digitize sample traceability - underscore how the company is pairing simulation scale with tighter lab data management to accelerate candidate selection and regulatory readiness.

The practical payoff for Nevada: faster, lower‑cost lead selection that can cut preclinical cycles and improve the odds of moving promising molecules toward clinical trials within a timeframe closer to the 2–3 year range cited in case studies.

Specification	Detail
Platform	Schrödinger computational platform (drug discovery platform)
Compute profile	~1 GPU‑day per molecule; bursts to tens of thousands of GPUs
Cloud partner	Schrödinger Google Cloud case study
Lab informatics	Sapio Sciences adoption to digitize wet‑lab workflows (Jan 2025)

“What stood out was the way the Google Cloud team shared our belief in the potential of combining the right platform with the right technology. This partnership could lead to a broader adoption of these methods by the pharmaceutical industry - and could potentially transform the way all of pharma is doing drug discovery.” - Dr. Ramy Farid, CEO, Schrödinger

Sully.ai, paired with Parikh Health's real‑world clinic playbook, delivers modular AI agents - AI scribe, receptionist, nurse, interpreter, and coder - that automate the full patient journey from intake to billing, automatically populating EHRs and cutting repetitive work for Las Vegas clinics and hospital outpatient departments; the vendor reports use by 300+ healthcare organizations, a 2.8‑hour average time savings per physician per day, and an 11.2% revenue increase during trial, making it a measurable operational play with HIPAA‑ready controls for Nevada pilots (Sully.ai healthcare workflow automation for clinics and hospitals).

Integrations with major EMRs and platforms (examples include Healthie) let local providers embed agents into existing workflows without forcing new apps or heavy retraining, which means faster charting, fewer after‑hours edits, and clearer ROI signals for community hospitals evaluating automation for ED throughput and primary‑care access (Sully.ai integration with Healthie platform).

The practical payoff for Nevada: saved clinician hours and better documentation accuracy that can be redeployed to patient care or used to reduce backlog during surge periods.

Metric	Value
Healthcare organizations	300+
Hours saved per physician (avg)	2.8 hours/day
Revenue increase (trial)	11.2%

“Sully.ai is an all-in-one solution, from patient intake to in-visit interactions with patients, as well as aftercare and follow-up. For us physicians, it's a game-changer.” - Neesheet Parikh, Founder, Parikh Health

Building on the AI agent examples above, Family Vision Care of Ponca City demonstrates an immediately practical play for Las Vegas clinics: the practice uses Google's Gemini inside Gmail to explain medical terms in patient emails and improve accessibility, turning dense clinical wording into clearer messages that support patient understanding - an approach Nevada providers can pilot to standardize plain‑language follow‑ups and boost outreach inclusivity; see the Family Vision Care Google Workspace case study on using Gemini in Gmail for implementation context and examples: Family Vision Care Google Workspace case study: using Gemini in Gmail to simplify patient communications and the Google Cloud real‑world Gemini use cases for healthcare and business.

Clivi‑style remote monitoring for pregnancy pairs wearable sensors and cloud analytics to bring high‑quality antepartum surveillance into Nevada homes and rural clinics, lowering travel burdens that drive missed appointments; recent reviews document increasing use of wearables and AI for continuous maternal–fetal monitoring (Systematic review: Wearable sensors and AI for pregnancy monitoring (PMC11479201)), while commercial partnerships that combine home devices with PeriGen's analytics show practical paths to clinical scale.

Notably, PeriGen's Patterns 3.0 received FDA clearance to extend fetal‑heart‑rate pattern analytics to 32 weeks (previously 36 weeks), a meaningful shift because roughly 8% of U.S. births occur between 32–36 weeks - earlier alerts can change management for many preterm pregnancies (PeriGen Patterns 3.0 FDA clearance details).

Pilots that combine maternal wearables, device‑driven BP/glucose capture, and AI triage can cut no‑show barriers and reallocate scarce L&D resources; one implementation pairing Bloomlife wearables with PeriGen analytics also reports cost‑conscious deployment models aimed at healthcare deserts and measurable outcome gains in field projects (PeriGen and Bloomlife partnership deployment notes).

For Las Vegas systems, the practical win is clear: validated home monitoring plus AI triage converts noisy, time‑consuming data into timely, hospital‑actionable alerts that improve access and target limited obstetric staff where they're needed most.

Specification	Detail
PeriGen Patterns 3.0	FDA clearance to 32 weeks (Feb 18, 2025)
At‑risk births	~8% of U.S. babies born between 32–36 weeks
Wearables evidence	Systematic reviews show feasibility for long‑term maternal/fetal monitoring (PMCID: PMC11479201)
Deployment model	Home devices + AI triage to reduce no‑shows and extend care into healthcare deserts

“FDA clearance of Patterns 3.0 marks a major milestone in PeriGen's mission to enhance maternal and perinatal care through AI-powered solutions. By expanding the reach of our fetal monitoring technology, we provide much greater utility to our users to leverage decision support within clinical workflow, especially as health systems contend with a shortage of nurses.” - Matthew Sappern, CEO, PeriGen

LUCAS 3, v3.1 is a mechanical chest‑compression system that gives Nevada EMS teams, ambulance crews, and cath‑lab staff a dependable way to sustain guidelines‑consistent compressions - 5.3 cm (2.1 in) at ~102/min - while freeing clinicians to focus on defibrillation, PCI, or ECMO activation; clinical reports show implementation can raise ROSC from 26% to 41% in hospital systems and the device's low‑profile design yields a median transition interruption of just 7 seconds, making it especially useful during transport and in radiology suites where caregiver safety and uninterrupted compressions matter (Stryker LUCAS 3 mechanical chest-compression system product page).

With global deployment of over 50,000 devices, wireless connectivity for post‑event QA, and a typical 45‑minute battery life, Las Vegas hospitals evaluating mechanical CPR can pilot LUCAS 3 to reduce provider fatigue, maintain high compression fractions during prolonged arrests, and capture actionable device data for QA and training; procurement and pricing options for clinical programs are summarized in vendor listings such as the LUCAS 3.1 product catalog (LUCAS 3.1 pricing and purchase options).

Specification	Detail
Compression depth & rate	5.3 cm (2.1 in) at ~102/min
Battery life	Typical 45 minutes (multi‑battery or external power supported)
Device weight	17.7 lb (with battery)
Transition interruption	Median 7 seconds from manual to mechanical CPR
Market footprint	>50,000 devices; operational reliability >99%

“If someone had told me about an 8-hour cardiac arrest. I wouldn't have believed it. But this truly happened.” - Alessandro Forti, MD

Markovate packages revenue‑cycle automation into fast, revenue‑first pilots that Nevada hospitals and clinics can validate locally: automated medical coding and claims processing that extract clinical data and map ICD‑10/CPT codes can deliver measurable gains - Markovate cites 40% faster claim processing and a 20% reduction in manual errors - while end‑to‑end AI agents and document‑processing pipelines aim to recover lost revenue and cut administrative overhead for high‑volume providers.

The firm's five‑step, revenue‑focused roadmap moves from data readiness and small PoCs to scaled integration, with simple automations deployable within weeks and enterprise workflows on a staged timeline; security and compliance (HIPAA, SOC‑2, GDPR) are built into deployments to support Nevada pilots.

For Las Vegas systems wrestling with denials and long days‑in‑A/R, Markovate's claims workstreams and fraud‑detection tooling offer a path to faster reimbursements and fewer rework loops - see Markovate's AI automation services and its deep dive on AI in claims processing for implementation details and use cases.

Metric	Value
Faster claim processing	40% (reported)
Reduction in manual errors	20% (reported)
Manual hours saved	10,000+ (reported)

“An impactful AI solution for enhanced coding accuracy, claims, and revenue” - David V., CEO, CodmanAI

Mayo Clinic's work with Google Cloud's Vertex AI Search turns sprawling clinical records into a searchable, medically‑tuned knowledge layer that Nevada health systems can use for faster clinical research and operational decisions: Vertex AI Search grounds generative outputs to FHIR, clinical notes, and enterprise data while integrating with Healthcare API and Healthcare Data Engine to support HIPAA‑ready implementations, and Mayo Clinic has already exposed thousands of researchers to roughly 50 petabytes of curated clinical data to accelerate cohort discovery and model training.

For Las Vegas hospitals and research teams, that means the tools to build annotated datasets (Mayo's OPUS system shows how cohort search and large‑scale annotation enable AI training) and the ability to surface precise summaries and question‑answering over EHRs - practical wins when clinician time is scarce and trials need faster recruitment.

Early access programs and enterprise controls let providers pilot knowledge agents that prioritize safety, provenance, and compliance while surfacing the right evidence at the point of care.

Read the product announcement and Mayo Clinic collaboration details: Google Cloud Adds New Features to Vertex AI Search for Healthcare (PR Newswire), Vertex AI Search for Healthcare solutions on Google Cloud, and Mayo Clinic's OPUS overview on cohort search: Mayo Clinic - Transforming Healthcare and Research with AI-Driven Tools (OPUS overview).

Metric	Value / Source
Mayo Clinic EHR coverage	More than 11 million patient records (Mayo Clinic)
Platform_Connect reach	~32 million patient lives in distributed network (Mayo Clinic Platform)
Research data made available via Vertex	~50 petabytes to thousands of researchers (Google Cloud)
Compliance	HIPAA support; enterprise security controls (Google Cloud PR)

“Healthcare is a data intensive industry with majority of the medical knowledge locked up in unstructured documents and text. New search functionality from Vertex AI provides Mayo Clinic new capabilities to use data to support a wide range of applications.” - Vish Anantraman, CTO for Mayo Clinic

Las Vegas teams ready to turn conference buzz into measurable improvements should start by building prompt-writing muscle and pairing it with proven prompt libraries: enroll nontechnical staff in UNLV's 5‑week Online AI Prompting Certificate Program to gain practical ChatGPT prompting skills that

anyone can quickly learn,

or scale role-based training with Nucamp's 15‑week AI Essentials for Work to embed prompt literacy across clinical and administrative teams; then accelerate pilots using ready collections like ModMed 100+ AI Prompts for Practice Operations so local clinics can test triage, documentation, and revenue‑cycle prompts without heavy engineering.

Follow clear prompt‑engineering patterns (context, instructions, output format) and localize examples to Nevada case mixes, then measure simple operational KPIs (time saved, claim turnaround, no‑show reductions) before scaling.

This pathway - 5‑week skill building, 15‑week workplace rollout, and prompt libraries for immediate pilots - lets Las Vegas providers prove ROI while keeping projects compliant and workforce‑friendly.

Program	Length	Early‑bird Cost	Register
UNLV Online AI Prompting Certificate Program	5 Weeks	-	UNLV Online AI Prompting Certificate Program Registration
Nucamp - AI Essentials for Work	15 Weeks	$3,582	Nucamp AI Essentials for Work Registration