WORK
Casestudies · SmarterDx
Hospital leadership teams don't have time for vague claims. When SmarterDx needed to build credibility with C-suite executives and revenue cycle leaders at health systems across the country, I built the company's case study program from the ground up — developing the format, leading client interviews, and managing cross-functional production across customer success, design, and product marketing.
These are the first three success stories — plus two bonus guides.
McLaren · CaseStudy
A 2,246-bed Michigan health system with a mature CDI program still found itself leaving revenue behind. This case study follows McLaren's three-year search for the right AI partner — and shows how SmarterDx helped them annualize $11.3M in net new revenue across seven campuses in just 10 weeks.
UAMS · CaseStudy
When UAMS was hitting the limits of what their CDI team could manually review, they needed an AI partner they could trust. This case study tells the story of how SmarterDx's clinical AI helped them capture $5.3M in annual net new revenue — and why the CFO called it money they "would have left on the table."
NovantHealth · CaseStudy
Compilation CaseStudy · MillionsCaptured
Sometimes one story isn't enough. This compilation brings together UAMS, McLaren, and Novant Health into a single document for prospects who want the full picture of what clinical AI can deliver at scale.
Novant Health's CDI team spent three years developing a wish list before finding their AI partner. This case study documents how SmarterDx doubled their projected net new revenue capture across 15 sites — and what it took to get a skeptical, sophisticated clinical team fully on board.
Additional · guide
This guide was built for revenue cycle leaders navigating a crowded AI vendor landscape — breaking down the financial, operational, and quality metrics that separate real clinical AI partners from ones that overpromise and underdeliver. Written and produced from concept to final design.
Metrics that matter · How RCM teams can assess the potential impact of an AI partner before inking a deal
A practical evaluation framework for finance and RCM leaders — covering net new revenue, operational efficiency, and quality outcomes in plain language that cuts through the noise.
Thought Leadership&Editorial · YuvoHealth
At Yuvo Health, I joined a fast-growing health tech startup as an embedded member of the product team — wearing two hats as Product Marketer and Senior Technical Writer. In addition to building the company's content and editorial function from scratch, I ghostwrote executive thought leadership for Yuvo's C-suite, helping translate complex ideas about value-based care, technology leadership, and startup culture into published pieces that reached a national audience.
The Forbes Technology Council and Authority Magazine pieces below were written in partnership with Su Bajaj, Yuvo Health's CTO.
How to transition to a startup from a legacy organization as CTO
Making the leap from a large enterprise to a startup demands a fundamental shift in how you think about technology, teams, and decision-making. This piece draws on Su's firsthand experience navigating that transition, offering a practical framework for technology leaders considering a similar move.
Key considerations for building your company's offshore tech team
The choice between startup and enterprise isn't just about risk tolerance — it's about what kind of leader you want to become. This piece lays out the key questions technology executives should ask themselves before making the decision, grounded in Su's perspective on both environments.
How CTOs can decide between joining a startup or established company
The choice between startup and enterprise isn't just about risk tolerance — it's about what kind of leader you want to become. This piece lays out the key questions technology executives should ask themselves before making the decision, grounded in Su's perspective on both environments.
Women of the C-Suite: Sujata Bajaj of Yuvo Health
A profile of Su's path to the C-suite — her philosophy on leadership, the hard decisions that shaped her career, and what she wishes she'd known before stepping into an executive role. The challenge here was capturing Su's distinct voice across a 12-minute read that needed to feel authored by her, not about her.
Datadilemmas
Why value-based care contracts can remain out of reach for FQHCs without innovative technology partners
FQHCs serve communities where the stakes of data access failures are highest — and where the resources to solve them are most limited. This eBook breaks down three core data challenges facing community health centers and makes the case for why technology partnerships are the missing piece.
Ghostwritten for Yuvo Health's Head of Product — and designed end-to-end, from concept to final layout.
Editorialprogram · IMOHealth
Over four years at IMO Health, I built the company's thought leadership program from scratch — growing it into a content engine that drove measurable brand awareness, organic growth, and pipeline contribution across a deeply technical healthcare IT audience. The pieces below represent a cross-section of that work: eBooks, white papers, and case studies developed in partnership with clinical subject matter experts, the C-suite, and our design team.
Lessons on data quality:
What health IT can learn from five peer industries
Data quality problems aren't unique to healthcare — but the stakes in healthcare are uniquely high. This eBook draws on lessons from five industries that have tackled data complexity at scale, translating them into actionable frameworks for health IT leaders.
Managing the financials of population health:
Challenges and solutions
Population health management comes with significant financial complexity. This eBook breaks down the core challenges facing health system finance leaders and offers practical frameworks for managing costs while improving outcomes.
Turning patient-reported outcomes into actionable data (editor)
Patient-reported outcomes are only valuable if they can be captured, standardized, and acted on. This white paper explores the technical and organizational challenges of making data work in real-world health system environments.
Reading like a human
The key to successful NLP in healthcare
NLP promises to unlock the information buried in clinical notes — but only if it can understand language the way clinicians use it. This white paper examines what makes NLP work in healthcare and what gets in the way.
Specificity is the new black
A guide to getting greater reimbursement
Vague clinical documentation costs health systems real money. This white paper makes the case for specificity in coding and documentation — and gives revenue cycle leaders the framework to act on it.
Medical coding is the invisible infrastructure of healthcare reimbursement — and one of it’s most complex parts. This plain-language guide demystifies four major coding systems for a non-technical audience.
Sharp and IMO Health
Standardizing data through terminology
Sharp Healthcare needed a way to standardize clinical terminology across their systems to improve data quality and interoperability. This case study documents how a partnership with IMO Health delivered a scalable solution for one of the country's leading health systems.
Cracking the codes:
A guide to common coding systems
The Primary Care First Act and the changing nature of healthcare reimbursement
As value-based care reshapes primary care payer models, health systems need to understand what's changing and why. This white paper examines the practical implications of policy changes for RCM and clinical teams.
Labs, meds and data quality
Taming complexity through normalization
Laboratory and medication data are among the most complex — and most consequential — data types in healthcare. This white paper examines how normalization strategies can improve data quality and downstream decision-making.
CORHIO and IMO Health partner to improve the quality of laboratory data
Health information exchanges depend on clean, standardized data — but laboratory data is notoriously inconsistent across systems. This case study follows CORHIO's partnership with IMO Health to tackle the lab data quality problem at scale.