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

Joliet healthcare systems face rising demand, workforce shortages, and complex billing - AI offers concrete relief by speeding diagnosis, surfacing high‑risk patients from EHR data, and automating claim and scheduling work so clinicians spend more time with patients and hospitals cut denials and costs; industry analysis shows AI already reshapes diagnostics and clinical workflows (AI applications in healthcare diagnostics and clinical workflows) while global reporting highlights AI's power to expand access and triage at scale (AI transforming global health and access to care).

For Joliet providers and administrators, practical upskilling - like Nucamp's AI Essentials for Work bootcamp (AI at Work: Foundations, Writing AI Prompts, Job Based Practical AI Skills) - turns theoretical benefits into local projects that reduce paperwork hours and deliver earlier interventions.

Bootcamp	Length	Cost (early bird)	Registration
AI Essentials for Work	15 Weeks	$3,582	Register for the AI Essentials for Work bootcamp

“It's prime time for clinicians to learn how to incorporate AI into their jobs.” - Harvard Medical School

Methodology prioritized AI prompts and use cases that deliver measurable value for Joliet health systems by scoring each candidate on clinical validation, operational ROI, implementation risk, and alignment with evolving regulation and data governance; sources such as HealthTech 2025 AI trends in healthcare show growing institutional risk tolerance for targeted pilots and name ambient listening and chart summarization as “low‑hanging fruit” for reducing documentation burden, so use cases that cut paperwork and improve triage rose to the top.

Diagnostic imaging and opportunistic screening were weighted heavily because the U.S. AI diagnostics market - estimated at $790.059 million in 2025 - and published validation (CorelineSoft's AVIEW LCS Plus) demonstrate both market momentum and real workload reduction for radiologists, making imaging prompts high‑impact for regional hospitals (U.S. healthcare AI market and AVIEW LCS Plus study).

Each top‑10 prompt was also vetted for data readiness, the feasibility of retrieval‑augmented generation for accurate answers, and the potential to produce a measurable KPI (fewer charting hours, faster first‑reads, or lower claim denials), so Joliet teams can prioritize pilots that show clear, auditable benefit and scale responsibly under tightening oversight.

Selection Criterion	Source / Example
Clinical validation	CorelineSoft AVIEW LCS Plus study (reduced workload)
Operational ROI	HealthTech: ambient listening offers clear ROI for documentation
Market opportunity	U.S. AI diagnostics market ≈ $790.059M (2025)
Governance & data readiness	HealthTech: regulatory scrutiny and HTI-1 alignment

“AI is no longer just an assistant. It's at the heart of medical imaging, and we're constantly evolving to advance AI and support the future of precision medicine.” - James Lee, CorelineSoft

DAX Copilot (Nuance) brings ambient clinical intelligence into the exam room and telehealth visit by passively capturing patient‑clinician conversations, producing specialty‑specific draft notes, orders, and after‑visit summaries so clinicians spend less time in the EHR and more time with patients; Microsoft's product page describes the unified Dragon + DAX workflow and EHR integrations that enable offline capture, multilingual encounters, and direct order entry (Microsoft Dragon Copilot clinical workflow page), while Nuance's DAX materials emphasize replacing error‑prone, high‑turnover scribe programs with scalable AI documentation (Nuance DAX Copilot infographic on automated clinical documentation).

For Illinois health systems weighing pilots, early real‑world results are concrete: Northwestern Medicine reported a 112% ROI and a 3.4% service‑level increase, and Vanderbilt's rollout documented faster same‑day closures and reduced after‑hours charting in ambulatory and ED settings (Vanderbilt University Medical Center DAX Copilot launch announcement), giving Joliet leaders measurable benchmarks for evaluating clinician time saved and revenue impact.

Metric	Reported Result	Source
ROI	112%	Microsoft outcomes study (Northwestern Medicine)
Service‑level increase	3.4%	Microsoft outcomes study
Pilot documentation gains	Faster same‑day closures; reduced after‑hours charting	VUMC pilot report

“VUMC's commitment to improving the quality and efficiency of patient care means utilizing leading health care technologies…we're excited to be able to expand access to this technology to our clinicians so they can spend less time in the EHR and more time on the things that are important to them.” - Dara Mize, MD, VUMC

Ada Health offers Joliet patients a clinician‑optimized, AI symptom checker and health assistant that runs a guided assessment in about five minutes, tracks symptoms over time, and produces an exportable assessment report patients can bring to primary care or the ED - practical for reducing low‑acuity visits and speeding correct triage in local clinics.

Built on a clinical reasoning engine and a medical library written by doctors, Ada emphasizes accuracy (clinical studies cited by the vendor), 24/7 access, multilingual support, and strict data‑protection practices, and the free app includes symptom tracking and personalized care‑next steps to help Joliet providers get better pre‑visit information.

For health systems exploring automation of intake and triage, AI chatbots like Ada can offload routine queries, improve appointment routing, and cut administrative burden while keeping patients safer and more informed - start an assessment with the Ada symptom checker (Ada symptom checker app) or read a broader analysis on how chatbots support 24/7 triage and scheduling (Analysis of AI chatbots for patient triage and scheduling).

Metric	Value
Users	14 million
Symptom assessments completed	35 million
5‑star ratings	350,000
Product languages	7
In‑house medical experts	50

“I was skeptical while downloading it, but I answered Ada's questions honestly, and was given a rather accurate assessment which I took to my specialist, and we're now treating a condition that can be monitored easily.”

NVIDIA Clara brings practical synthetic‑data tools to local imaging teams, letting Joliet hospitals and research partners generate high‑fidelity, privacy‑preserving training sets when real patient scans are scarce or protected: Project MONAI and the MAISI foundation model can produce 2D and 3D CT images with corresponding segmentation masks to augment rare‑disease cases, reduce costly annotation, and train downstream models for tumor or organ segmentation without exposing identifiable patient scans (NVIDIA synthetic data generation for healthcare innovation).

Clara's platform also links MONAI, Holoscan edge processing, and NIM tooling so developers can iterate locally or at scale on NVIDIA Clara for Medical Imaging (NVIDIA Clara AI-powered medical imaging platform); teams can even interactively evaluate MAISI via NVIDIA's MAISI resources to validate model behavior before clinical pilots (NVIDIA MAISI NIM demonstration for medical imaging).

The so‑what: MAISI supplies labeled (image, mask) pairs across up to 127 anatomical classes, enabling Joliet radiology programs to boost segmentation accuracy and train models for rare tumors without additional human annotation or PHI exposure.

MAISI Feature	Capability / Value
Anatomical classes	Up to 127 classes (bones, organs, tumors)
Voxel resolution	Achieves up to 512 × 512 × 768 (examples include 512 × 512 × 512 at 1.0 mm³ spacing)
Outputs	Synthetic 2D/3D images with corresponding segmentation masks for model training
Benefits	Data augmentation for rare cases, reduced annotation cost, privacy‑preserving datasets

Tempus packages comprehensive genomic profiling, liquid‑biopsy and MRD assays with AI‑enabled reporting and clinical trial matching so Joliet oncology teams can turn a single tumor‑normal or ctDNA order into actionable therapy options and trial leads; Tempus' platform combines DNA + whole‑transcriptome RNA sequencing, tumor‑naive and tumor‑informed MRD (xM), and Tempus One smart reporting to increase actionable findings and surface trial matches - in one analysis Tempus reported that clinical data plus NGS potentially matched 96% of patients to a clinical trial - while an expanding multimodal dataset (≈8,000,000 de‑identified research records) powers algorithmic tests and digital pathology.

Integration into the EHR (Epic, Cerner and others) and the Tempus Hub streamlines ordering and delivers structured results at point‑of‑care, making precision recommendations practical for community oncologists and hospital systems in Illinois (Tempus genomic profiling and sequencing services, Tempus EHR integration and Tempus Hub clinical workflow).

The so‑what: faster, evidence‑mapped therapy options and trial referrals that reduce time‑to‑treatment and improve trial access for local patients.

Metric	Value
De‑identified research records	≈8,000,000
Direct data connections / institutions	600+ / 3,000+
Patients identified for potential trials	30,000+
Academic medical centers connected	~65%
Potential clinical trial matches (with clinical data + NGS)	96%

“The integration of Epic and Tempus is a major advance in caring for patients with cancer. Until now in most institutions across the country, cancer genomic testing is done outside of their EHR platform. Integrating Tempus with Epic brings cancer genomic testing within the normal oncology clinical workflow. This ensures genomic testing is done with the appropriate patient, testing is not missed, and errors are avoided.” - Dr. Janakiraman Subramanian, Director of Thoracic Oncology and Center for Precision Oncology at Saint Luke's Cancer Institute

GE Healthcare's AIR Recon DL is a deep‑learning MR image‑reconstruction upgrade that boosts signal‑to‑noise and sharpens images - GE cites up to a 60% increase in perceived sharpness - while cutting scan times by as much as 50%, a combination that directly improves patient comfort, reduces repeat scans for motion‑susceptible exams, and increases throughput for community systems in Illinois that prefer upgrades over costly replacement; learn more on the GE Healthcare AIR Recon DL product page (GE Healthcare AIR Recon DL product page) and note the expanded US FDA 510(k) clearance for 3D and PROPELLER sequences that broadens clinical use cases (Applied Radiology article on FDA clearance for AIR Recon DL); the upshot for Joliet radiology teams: sharper, faster MR exams that can be deployed as a software upgrade on many 1.5T/3T scanners, improving diagnostic confidence and patient experience without immediate capital replacement.

Metric	Value
Image sharpness	Up to ~60% improvement
Scan time reduction	Up to 50% faster
Regulatory status	FDA 510(k) cleared for 3D & PROPELLER
Clinical adoption (reported)	≥3.5 million patients scanned (as of Sep 2022)
Reader study highlights	100% reported better SNR; 99% better/equivalent lesion conspicuity

“AIR Recon DL increases the sharpness of the images by about 60%. In this way you have no doubt about how to do the final diagnosis right away.” - Dr. Gianluca Pontone

AIDDISON from Merck packages generative AI, machine learning, and computer‑aided drug design into a SaaS platform that virtually screens more than 60 billion candidate compounds and links hit finding to synthesis recommendations via the Synthia retrosynthesis API, enabling chemists to design drug candidates in minutes and surface viable reagents and routes for lab production (AIDDISON drug discovery platform, Merck press release on AIDDISON).

For Joliet-area biotech teams, community hospital research groups, and contract labs, the practical upside is clear: accelerated hit-to-lead exploration backed by two decades of experimentally validated training data can shrink hypothesis testing cycles, cut procurement guesswork by recommending specific building blocks, and materially reduce time and cost in early discovery - Merck projects sector savings in the tens of billions and up to ~70% reductions in discovery time/cost in some workflows - so local pilots that pair AIDDISON with nearby synthesis capacity can move promising molecules toward in‑lab validation much faster.

Metric	Value
Virtual compound search	>60 billion candidates
Training data	More than two decades of experimentally validated datasets
Integration	Synthia™ retrosynthesis API (proposes reagents & routes)
Potential industry impact	>$70 billion savings by 2028; up to 70% time/cost reduction (reported)

“Our platform enables any laboratory to count on generative AI to identify the most suitable drug-like candidates in a vast chemical space. This helps ensure the optimal chemical synthesis route for development of a target molecule in the most sustainable way possible.” - Karen Madden, CTO, Life Science business sector, Merck KGaA

Doximity GPT puts a HIPAA‑secure LLM directly into clinicians' pockets and EHR workflows - drafting instant notes, prior‑authorization and appeal letters, patient education, chart summaries, and multilingual translations so Joliet providers can close charts during rounds and cut after‑hours admin.

The platform is built for U.S. healthcare workflows (individual and enterprise BAAs are offered, with industry‑grade encryption and SOC 2 / HIPAA‑HITECH controls), and Doximity cites clinicians who reclaim “over 10 hours a week” by using the assistant for documentation and admin tasks; it also integrates with Dialer and secure faxing to keep patient communication compliant and auditable.

For Joliet hospitals and community clinics, the practical payoff is faster prior‑auths and clearer patient handouts without exposing PHI - try Doximity GPT to prototype note automation and secure messaging at scale (Doximity GPT product information, Doximity HIPAA/HITECH compliance details).

Metric	Value
HIPAA protections	BAA offered; SOC 2 Type II; encryption in transit & at rest
Time saved (vendor claim)	Save over 10 hours/week
Access & cost	Free, unlimited access for clinicians
Key uses	Instant notes, prior auths, patient education, translations

“Within 15 seconds my letter of clinical necessity was written, describing all the relevant conditions perfectly.” - Dr. Shubho Sarkar, MD

Moxi from Diligent Robotics is a socially intelligent mobile manipulator that takes on routine, non‑patient‑facing chores - running patient supplies, delivering lab samples, fetching medications and restocking PPE - so clinical teams in Illinois can spend more time at the bedside and less time on errands; the robot installs quickly on existing Wi‑Fi with no heavy infrastructure buildout and is customized by Diligent's implementation team for unit workflows (Diligent Robotics Moxi product page).

Local proof points matter for Joliet: Northwestern Memorial's fleet completed 800+ errands and reported more than 400,000 steps saved for pharmacy and lab staff, and Children's Hospital Los Angeles recorded 2,500+ deliveries and roughly 1,620 work hours saved in early months - clear operational wins that translate to faster med deliveries, fewer interrupted nurses, and measurable time returned to patient care (Northwestern Memorial deployment).

Site	Operational Result
Northwestern Memorial Hospital (Chicago)	800+ errands; >400,000 steps saved
Children's Hospital Los Angeles	2,500+ deliveries; ~132 miles travelled; ≈1,620 work hours saved

“Bringing Moxi to CHLA is a great example of how we are ensuring our team members are able to do their best work at the top of their skill set.” - Omkar Kulkarni

Storyline AI combines telemedicine, behavioral analytics, and automated care pathways into a single platform built for high‑touch remote monitoring - more than a video visit, it runs precision care programs, scoring and triggering follow‑ups automatically so clinicians spend less time chasing tasks and more time on interventions; clinics report up to 4x productivity gains, a 17% revenue uplift and 97% patient recommendation rates, and the platform ships with a library of validated behavioral assessments, integrated payments, e‑consents, and military‑grade HIPAA/GDPR/HITECH security that make pilots practical for Joliet community hospitals and outpatient clinics (Storyline AI telemedicine platform).

For teams that want low‑risk trials, Storyline's free tier (100 active patients/month) and scalable PRO/TEAM plans let practices test remote monitoring, chronic care follow‑ups, and mental‑health pathways without heavy capital outlay - so a small Joliet clinic can prove impact on no‑show rates, engagement, and downstream admissions before committing to enterprise rollout; explore pricing and plan limits at Storyline pricing and free plan.

Metric / Feature	Value / Note
Reported productivity gains	4x team productivity
Patient recommendation	97% would recommend
Revenue impact	17% increase (reported)
Free plan	100 active patients / month; core features included
Security & compliance	HIPAA, GDPR, PHIPA/PIPEDA, HITECH

“Storyline lets us build robust care pathways that extend beyond the clinic to support clinical interventions and patients.” - Benjamin Lewis, MD, Huntsman Mental Health Institute

Merative's Truven Health Insights and Flexible Analytics give Joliet health systems practical, production‑ready tools to predict which patients will drive costs or need early intervention, benchmark local performance, and measure program impact without hiring a large data‑science team; the platform provides off‑the‑shelf predictive models (DxCGs, risk of hospitalization, risk of rising cost, HCC Medicare models), MarketScan benchmarking to compare cost and utilization across regions, and self‑service dashboards that embed analytics into existing data warehouses - hosted on Microsoft Azure for scalable, secure deployment - so a Joliet payer, hospital, or employer group can identify high‑risk cohorts, prove a disease‑management ROI, and optimize provider networks faster than building models from scratch.

Learn more about Truven's population health capabilities at the Merative health plan analytics page and explore Flexible Analytics' ready‑made methodologies for rapid pilots.

Capability	Detail / Value
Predictive models	DxCGs, risk of hospitalization, risk of rising cost, HCC Medicare models
Benchmarking	MarketScan® datasets for cost, use, and prevalence comparisons
Deployment & security	Hosted on Microsoft Azure for scalability, performance, and HIPAA‑aligned controls

“We look to Truven to help create measurement strategies to evaluate some of the benefits designs and program changes we've made over the years.” - Ethan Rush, Director of US Medical Benefits, Eaton Corporation

Getting started in Joliet means prioritizing governance, training, and low‑risk pilots: convene a clinician‑led, IT‑and‑compliance cross‑functional team, choose one clear operational use case (ambient documentation or revenue‑cycle automation), require vendor HIPAA protections/BAA and SOC‑grade controls, and run a short, time‑boxed pilot that tracks two auditable KPIs - clinician charting hours and claim‑denial rate - to prove value to hospital leadership; follow AMA guidance to begin with low‑risk cases and monitor performance (AMA guidance on clinician‑driven, low‑risk AI pilots), align pilots to the Joint Commission/CHAI playbooks as they become available (Joint Commission and CHAI AI best‑practice partnership announcement), and upskill staff with practical courses like Nucamp's AI Essentials for Work bootcamp: practical AI skills for the workplace so local teams can write effective prompts, manage vendors, and translate pilot metrics into scale‑ready programs.

Program	Length	Early‑bird cost	Register
AI Essentials for Work	15 Weeks	$3,582	Register for the AI Essentials for Work bootcamp

“In the decade ahead, nothing has the capacity to change healthcare more than AI in terms of innovation, transformation and disruption.” - Jonathan B. Perlin, MD, PhD, The Joint Commission