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

Knoxville is fast becoming a regional hub for clinical AI: University of Tennessee researchers are converting AI into tangible improvements - more precise surgical landmarking, faster CT cancer screens, and tools trained on UT Medical Center data - through the campus-wide AI Tennessee Initiative and the new AI TechX program that offers up to $60,000 in one-year seed grants to speed university–industry pilots (University of Tennessee AI research and AI TechX program).

Statewide momentum includes Vanderbilt Health's ADVANCE center among top U.S. systems investing in outcomes-driven AI (Vanderbilt Health ADVANCE center AI investments), while national coalitions push governance and safety - critical as local hospitals integrate imaging, triage, and documentation assistants (Coalition for Health AI responsible health AI standards).

The practical payoff: faster, data-driven workflows that free clinicians for bedside care and create local opportunities for trained AI talent.

Bootcamp	Length	Early-bird Cost	Registration
AI Essentials for Work	15 Weeks	$3,582	Register for the AI Essentials for Work bootcamp

“Through research, workforce development, and industry partnerships, we empower students, professionals, and industries to drive innovation and shape a future of opportunity for Tennessee and the nation.”

Methodology focused on Tennessee-ready impact, measurable ROI, and real-world readiness: entries were prioritized when tied to University of Tennessee research or local accelerator activity, demonstrably pilot-ready or seed-backed (for example, the UTRF Accelerate Fund's $150,000 investment in VisualizAI's ClaimsAgent), and aimed at clear cost drivers such as claims denials - a 2023 CMS snapshot shows insurers denied 19% of in‑network claims - so prompts emphasize data extraction, triage heuristics, and corrective-action recommendations that can scale across hospital revenue cycles; selections also favored solutions aligned with the state's AI strategy to move university innovations to market, as outlined by the UTRF Accelerate Fund investment in VisualizAI healthcare startup and the AI Tennessee Initiative research and commercialization program, ensuring each prompt is both practically deployable in Knoxville systems and tied to measurable pilot metrics (claims processed per hour, denial-rate reduction, or time-to-resolution).

Investment	Company	Product	Founders	Announcement Date
$150,000	VisualizAI	ClaimsAgent	Jian Huang; Mac Bartine	March 24, 2025

“Through AI, ClaimsAgent provides diagnostic, descriptive, prescriptive, and predictive support for health care claims processing.”

Ada Health's clinician‑optimized symptom‑checker acts as a practical “digital front door” for Knoxville health systems by guiding patients through interactive assessments that prioritize urgency and care setting; Ada reports 10 million users and 25 million completed assessments and maps more than 3,600 conditions to over 31,000 ICD‑10 codes, enabling structured outputs that can feed scheduling or EHR workflows (Ada Health symptom assessment and digital front door).

Independent evaluations show symptom checkers remain stronger at triage than definitive diagnosis - population studies and market reviews report diagnostic accuracy ranges roughly 19–38% but triage accuracy up to ~90% - and a JMIR emergency‑department evaluation found acceptable usability and diagnostic performance when deployed at point of entry, supporting safe red‑flag escalation (JMIR evaluation of symptom checker performance in emergency departments).

For Knoxville hospitals facing high nonurgent ED volumes, integrating Ada as part of a linked digital front door can redirect care to telehealth or office visits, reduce after‑hours call burden, and help lower avoidable ED use - Elion's market map notes that two‑thirds of commercially insured ED visits could be managed elsewhere when triage tools are used effectively (Elion market map on AI symptom checkers and ED visit diversion), making Ada a pragmatic first step for systemwide demand management.

Metric	Value
Users	10 million
Completed assessments	25 million
Conditions covered	3,600+
ICD‑10 mapping	31,000+ codes

“There are many popular symptom checkers out there that are really just designed to cover the top 20, 30, 50 conditions that people are experiencing.”

DAX Copilot's ambient scribe quietly records clinician–patient conversations and pushes specialty‑specific draft notes directly into Epic, turning natural dialogue into editable clinical documentation so clinicians reclaim time at the bedside instead of after hours; Microsoft positions this capability inside the broader Dragon Copilot workspace to add dictation, order capture, and evidence summarization (Microsoft Dragon Copilot clinical documentation and workflow overview).

Local rollouts show this matters in practice: Vanderbilt Health's pilot expanded from 10 to 50 clinicians as teams refined workflows, and systemwide programs like Novant Health report broad adoption with nearly 900 clinicians and more than 550,000 encounters documented - 95% of users said they would miss the tool and 87% felt it improved patient experience - demonstrating that ambient documentation can measurably reduce after‑visit charting and clinician cognitive load while preserving Epic workflow parity (Novant Health DAX Copilot adoption and outcomes); for Knoxville systems, that means a practical route to lower burnout and faster throughput without ripping out existing EHR investments.

Metric	Value / Source
Epic integration	Yes - embedded workflow delivery (Microsoft / Epic)
U.S. availability	May 1, 2025 (Microsoft Dragon Copilot FAQ)
Novant adoption	~900 clinicians; 550,000+ documented encounters (Novant Health)

“On behalf of all of us, we extend our gratitude to the Foundation for your invaluable support, which empowers clinicians to focus on what they do best - providing remarkable patient care.” - Aram Alexanian, MD

ChatGPT-style models are practical workhorses for Knoxville health systems that need faster chart review, clearer patient communication, and lower documentation burden: Stanford's ChatEHR shows clinicians can “chat” with a patient's record to auto-summarize charts, retrieve specific data points, and run task automations (for example, transfer‑eligibility checks) that speed decisions at the bedside (Stanford ChatEHR demo and study); ambient-AI pilots documented by the AMA generate both clinician notes and patient-friendly after-visit summaries that clinicians must review before signing, preserving clinical oversight while cutting typing time (AMA article on EHR AI and ambient scribing).

Benchmarks show these models now handle complex medical language - Topflight notes ChatGPT passed the USMLE (excluding visual items) - making them a credible aide for structured note drafting, SOAP-note generation, and patient education content that, when embedded into local EHR workflows, can turn hours of charting into minutes and free clinicians to focus on high-value bedside care (Topflight article on ChatGPT in healthcare use cases).

Capability	Example from Sources
Chart summarization & data retrieval	ChatEHR auto-summarizes charts and pulls specific data points (Stanford)
Ambient notes + patient summaries	AI generates clinician notes and patient-friendly summaries requiring clinician review (AMA/Abridge)
Clinical language benchmark	ChatGPT passed the USMLE (text items) indicating advanced medical-language performance (Topflight)

“AI can augment the practice of physicians and other health care providers, but it's not helpful unless it's embedded in their workflow and the information the algorithm is using is in a medical context … ChatEHR is secure; it's pulling directly from relevant medical data; and it's built into the electronic medical record system, making it easy and accurate for clinical use.” - Nigam Shah, MBBS, PhD

Claude stands out for empathetic summarization and patient-facing communications that Knoxville teams can plug into portal messages and oncology after‑visit summaries: comparative evaluations found Claude V2 scoring about 4.11/5 for empathy in oncology-focused prompts and AI replies were judged empathetic far more often than physician replies (Simbo analysis), while an equivalence trial ranked Claude highest for overall quality, empathy (3.62 vs physicians' 2.43), and readability - findings that suggest Claude can generate editable, reassuring response templates clinicians can adapt for local workflows (Simbo study of Claude V2 empathy in oncology, AuntMinnie trial comparing AI chatbots and physicians' empathy).

For Knoxville health systems such templates can speed portal replies, lower repeat phone triage, and preserve clinician oversight - provided implementations follow local privacy and security safeguards recommended for Tennessee deployments (Local AI privacy and security safeguards for Tennessee healthcare deployments).

Metric	Value / Source
Claude V2 empathy score	4.11 / Simbo
Chatbot empathy vs physicians	AI empathetic 45.1% vs physicians 4.6% / Simbo
Trial empathy (chatbots vs physicians)	3.62 vs 2.43 (Claude best) / AuntMinnie

“No, you are not crazy” - example of an AI reassuring response cited in empathy studies

AIDDISON's generative platform promises to compress early-stage medicinal chemistry from months to minutes by exploring vast chemical space and proposing drug-like candidates - an acceleration that matters for Knoxville because local teams already run large in‑silico campaigns and have the lab infrastructure to act on those leads: University of Tennessee researchers used Oak Ridge National Laboratory's Summit supercomputer to virtually screen over 8,000 compounds in a COVID‑19 effort (UTRF virtual screening of 8,000+ compounds), and ORNL scientists apply machine‑learning models to rank molecules by predicted binding strength (ORNL machine‑learning binding prediction for drug discovery).

Pairing AIDDISON's prompt-driven candidate generation (AIDDISON AI-powered drug discovery platform overview) with Knoxville's high‑performance screening and characterization pipelines (for example, the Polymer Characterization Lab's NMR/SAXS/DSC suite) creates a practical route from AI ideation to experimental validation, shortening cycles for local biotech and translational teams.

Metric / Resource	Detail
Virtual screening (UT/ORNL)	8,000+ compounds screened on Summit (UTRF)
Local characterization	Polymer Characterization Lab instrumentation (NMR, SAXS, DSC, etc.)

“We're not going to wipe the disease out with this work, but hopefully, if this and the other efforts worldwide are successful in finding drugs, it will lessen the symptoms, prevent the virus from running rampage in the human body, save a lot of lives and help us all get back to normal.”

BioMorph, described by the Broad Institute as part of a suite of predictive models, turns high‑content cell imaging into actionable, interpretable signals by combining CellProfiler‑extracted morphological features with cell‑health metrics (for example, growth rates) to infer a compound's mechanism of action and likely effects on cellular health; the model reliably matched compounds to the cellular features they altered on data outside its training set, offering an evidence‑driven way to narrow candidate lists before costly animal or human studies (Broad Institute article: De-risking drug discovery with predictive AI).

That “fail faster” capability has practical payoff for Knoxville: pairing BioMorph rankings with local high‑performance screening and characterization workflows (UT/ORNL virtual screening and polymer characterization labs already screen thousands of candidates) lets translational teams prioritize a handful of leads for NMR/SAXS/DSC validation, shortening the path from in‑silico hit to testable compound and reducing wasted bench time (UTRF and ORNL collaborative virtual‑screening spotlight).

Model	Inputs	Validated Output
BioMorph	CellProfiler imaging features + cell health metrics (growth rates)	Inferred mechanism of action; matched compounds to altered cellular features out-of-sample

“BioMorph provides interpretable biological context for image-based features, and feedback on its use is welcome.” - Srijit Seal

Merative's analytics portfolio - from Truven Health Insights dashboards to the MarketScan real‑world data suite - gives Knoxville health systems and public‑health teams practical tools to turn claims, EHR, and social‑determinants signals into actionable population‑health programs: use MarketScan's linked claims+EHR sets and the MarketScan SDoH database to stratify at‑risk cohorts, apply Flexible Analytics' predictive models (risk of hospitalization, episode groupers) to prioritize interventions, and embed on‑demand reporting to reduce analytic latency so care coordinators act faster.

These capabilities map directly to Tennessee needs - geospatial SDoH work (AHRQ/UT analyses) shows that spatially aware models double explanatory power versus classical OLS, so combining Merative's MarketScan datasets with local geospatial methods can sharpen where to deploy mobile clinics, COPD outreach, or care‑navigation resources.

A memorable payoff: proven analytic methods such as the Medical Episode Grouper have uncovered multimillion‑dollar annual savings in payer pilots, illustrating how better stratification and episode-level insight can convert data into dollars saved and faster, targeted care for Knox County populations.

Learn more at Merative and explore MarketScan's research tools as a starting point for Tennessee pilots.

Product	Core capability
Merative Truven Health Insights dashboards	Self‑service dashboards & cohort analytics for employers, plans, and providers
Merative MarketScan real‑world data analytics	Linked claims+EHR, SDoH database, longitudinal research cohorts
Flexible Analytics	Predictive models, episode groupers, and rapid deployment methods

“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.”

Moxi, Diligent Robotics' four‑foot “cobot,” is purpose‑built to reclaim time for bedside teams by autonomously handling point‑to‑point logistics - meds‑to‑beds runs, lab samples, PPE restocking, and pharmacy pickups - tasks that Diligent found consume roughly 30% of a clinician's shift; in practice Moxi programs have scaled from pilot units to enterprise pharmacy workflows and, as of July 2025, the company reported more than 300,000 last‑mile pharmacy deliveries across dozens of U.S. systems, showing how automation can convert staffing pressure into operational capacity (Diligent Robotics Moxi pharmacy automation milestones).

Real hospital data underline the payoff: Children's Hospital Los Angeles recorded 2,500+ Moxi deliveries in the first months - saving about 1,620 work hours and 383,000 staff footsteps - which translates into measurable minutes returned to nursing care and fewer discharge delays when applied to high‑volume units like emergency departments or med‑surge floors (Children's Hospital Los Angeles Moxi deployment and outcomes).

For Knoxville systems grappling with turnover and after‑hours pharmacy gaps, Moxi offers a plug‑and‑play route to protect bedside time, lower interruption rates, and expand med‑to‑bed capacity without replacing clinical staff.

Metric	Value / Source
Total pharmacy deliveries	300,000+ (Diligent Robotics press, Jul 16, 2025)
Health systems deployed	Deployments across 30+ U.S. health systems (Diligent Robotics)
CHLA early performance	2,500+ deliveries; ~1,620 work hours saved; 383,000 footsteps saved (CHLA)
Time spent on non‑care tasks	Clinicians spend ~30% of shift on non‑patient activities (Diligent Robotics)

“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 reframes telehealth for Tennessee by wrapping advanced behavioral A.I., precision care pathways, and workflow automation into a single patient‑centric platform - more than a video visit, it delivers automated care journeys, built‑in clinical assessments, e‑consents, integrated payments, and military‑grade HIPAA/HITECH security so Knoxville clinics can scale high‑touch remote programs without adding clinician hours; providers copy ready‑made programs from the Storyline Library or build custom pathways for chronic disease follow‑up, behavioral health, or post‑discharge outreach, unlocking new recurring‑revenue models while improving access for suburban and rural patients (see the Storyline telemedicine platform and Storyline Intelligence precision care pathways for behavioral A.I.): Storyline telemedicine platform - comprehensive telehealth solutions, Storyline Intelligence - precision care pathways and behavioral AI.

The concrete payoff: Storyline cites 4x team productivity, a 97% patient recommendation rate, and a 17% average revenue boost - metrics Knoxville health systems can use to justify pilots that aim to lower no‑shows, increase patient engagement, and shift routine follow‑ups into scalable remote programs.

Metric	Value (Storyline)
Team productivity	4x
Patient recommendation	97%
Average revenue increase	17%

“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

For Knoxville clinicians and care teams aiming to cut after‑hours charting and speed routine workflows, Doximity GPT is a practical, HIPAA‑focused assistant that drafts Instant Notes, summarizes charts, prepares prior‑authorization and appeal letters, and generates patient education in plain language - features that Doximity says can save clinicians “over 10 hours a week” while remaining free and unlimited for verified U.S. users; local safety‑net clinics also benefit because Doximity Scribe and related tools offer free onboarding for charitable clinics and operate under a Business Associate Agreement model to protect PHI (Doximity GPT HIPAA‑compliant workflow assistant).

Independent commentary underscores the operational guardrails: use human review for every AI‑generated document and verify BAAs and secure processing environments before routing PHI to any model (MedCram analysis of HIPAA‑compliant AI for clinical workflow).

The so‑what: Knoxville practices can reclaim clinician time, shorten authorization cycles that delay care, and extend secure, editable patient communications without replacing clinical judgment.

Attribute	Detail / Source
Cost	Free for verified U.S. clinicians (Doximity)
Privacy	HIPAA‑compliant; BAA coverage for Doximity tools
Time savings	Save over 10 hours/week on documentation (Doximity)
Primary uses	Instant Notes, prior auths/appeals, patient education, chart summaries

“This tool has been a game-changer for my charting process, whether it's creating a plan for congestive heart failure or an HPI for atrial fibrillation. It provides accurate, comprehensive support that saves me time and has also streamlined tasks like writing appeal letters and providing educational information on new prescriptions.” - Dr. Munir Janmohamed, Cardiology

Move from exploration to measurable pilots: Knoxville teams should prioritize commercially proven workflows (claims, discharge planning, ambient documentation) with clear pilot metrics - claims denial reduction, days‑saved per discharge, or clinician charting hours - so investments translate to dollars and capacity.

Leverage locally backed solutions already in pilot here (for example, the UTRF Accelerate Fund's $150,000 seed support for VisualizAI's ClaimsAgent) and statewide pilots that cut unnecessary hospital days with AI‑driven discharge workflows to see quick returns (UTRF Accelerate Fund investment in VisualizAI ClaimsAgent, West Tennessee Healthcare AI discharge workflow pilot).

Pair technology pilots with staff training and prompt engineering so clinical teams own the toolchain - Nucamp's 15‑week AI Essentials for Work bootcamp offers practical prompt and workflow skills to operationalize pilots (Nucamp AI Essentials for Work 15-week bootcamp registration).

A concrete benchmark: every inappropriate extra hospital day costs roughly $3,000, so even small reductions in length‑of‑stay or denial rates can rapidly fund broader rollouts.

Bootcamp	Length	Early‑bird Cost	Register
AI Essentials for Work	15 Weeks	$3,582	Register for Nucamp AI Essentials for Work bootcamp

“VisualizAI is a great example of how UT-driven research can lead to real-world solutions that improve efficiency, accuracy and outcomes in critical industries like health care.” - Randy Boyd, University of Tennessee System President