By Rafiq Ahmed, CEO and co-founder, Serif Health
LinkedIn: Rafiq Ahmed
LinkedIn: Serif Health
For decades, one of the most consequential numbers in healthcare was effectively invisible to the providers delivering care: what a payer actually reimburses a hospital for a given service. Health systems negotiated contracts based on internal assumptions, historical precedent, and incomplete intelligence about what the market was actually paying. The data existed only in a black box. It was not accessible in any systematic or actionable way.
That changed as federal price transparency mandates now require payers to publish their negotiated rates with providers in machine-readable files, updated on a regular basis. For the first time, health system executives have access to real market pricing data across payers, service lines, and competitors. Now, the information asymmetry that long shaped healthcare contracting is beginning to narrow.
What health systems do with that visibility will define competitive positioning for years to come. To understand why, it helps to look at an industry that has already been through this transition: hospitality.
When Hotel Pricing Lost Its Mystique
Before online travel platforms changed everything, hotel pricing operated in a world of opacity not entirely unlike healthcare contracting today. Guests had little visibility into what comparable properties were charging, and so did many hotels. Hotels with strong brand recognition generally fared well. Those without it were often flying blind and unsure if their rates were competitive.
What broke that model was distribution disruption. New internet booking platforms like Expedia and Priceline put competitor pricing in front of anyone with a browser. Then came aggregators that published rates in real time and forced some level of rate parity that hadn’t existed before. The information asymmetry that had long protected incumbent players collapsed almost overnight. Suddenly, everyone could see what everyone else was charging in an easily accessible way.
The hotels that adapted built internal capabilities to monitor market rates, benchmark against competitors, and adjust their rate positioning accordingly. They used the new transparency as a strategic lever and gained a meaningful advantage. The ones that didn’t adapt found themselves exposed, not just to consumers who could make more cost-conscious decisions, but also to the market itself.
I spent several years at HotelTonight focused on pricing strategy and analytics for hotel partners during this period when pricing innovation was the name of the game for hotels. The lesson that stayed with me was that transparency rewards preparation and commitment. The hotels winning in that environment were not the ones with the most rooms or the longest history. They were the ones who understood the market and their customers most clearly and built the organizational muscle to act on that understanding early, often, and consistently. This is what allowed so many more local brands and boutique hotels to break through and reach customers more effectively.
Healthcare is now at a similar inflection point. The data is available. The question is who is building the muscle and acting on the answers.
Why Data Alone Is Not the Advantage
It would be tempting to conclude that the publication of negotiated rate data levels the playing field automatically in healthcare like it did in the hotel space. But it doesn’t because access to raw machine-readable files and the ability to make decisions from them are very different things.
The raw data published by payers contains significant quality challenges. Phantom rates, or entries for billing codes a provider has never actually used, can distort reported market medians significantly if left unfiltered. Duplicate records, fragmented provider-facility linkages, and unstandardized billing codes compound the problem. Research suggests that rigorous claims-driven filtering can eliminate up to 80% of raw records before the remaining data becomes reliable enough to inform a negotiation.
This matters because a health system that benchmarks against unfiltered data may be drawing conclusions from a distorted picture of the market. A reported median rate is only trustworthy if the underlying data has been cleaned, normalized, and enriched. Without that foundation, the analysis is not just incomplete; it can be actively misleading.
The health systems gaining real advantage from price transparency data are the ones investing in that foundation. They are treating this not as a compliance dataset to be checked once a year, but as a core intelligence system that informs contracting, finance, growth planning, and strategic decisions on a continuous basis.
Building Price Transparency as a Strategic Intelligence Function
Price transparency data is proving useful well beyond the contracting function. Strategy and business development teams can use market reimbursement data to evaluate new service lines before committing capital, analyze competitive dynamics in target markets before physical expansion, and assess the rate positioning of potential acquisition or partnership targets early in the diligence process.
The health systems moving fastest on these real-world applications are not necessarily the largest or best resourced. They are the ones that recognized early that the data was an organizational capability question, not just a technology procurement decision. Building the internal processes, ownership, and analytical discipline to act on market intelligence consistently is the work, and it’s available to any organization willing to invest in it now to realize the benefits now and into the future.
The Compounding Cost of Waiting
One of the lessons from the hotel pricing transformation was that the cost of delayed adoption compounded over time. Hotels that waited to build pricing intelligence capabilities did not just miss a single revenue opportunity. The lack of investment meant certain hotel brands were late to important developments like dynamic pricing, loyalty programs, and other tools for competitive differentiation. As a result, some lost market share. Consumers, as payers, and booking platforms had already formed expectations based on existing data, and moving the needle required more evidence and more effort than simply starting from a position of market knowledge.
Healthcare contracting follows a similar logic. Contract cycles typically run for one year or multiple years. The rates established in one cycle become the baseline for the next. Health systems that enter negotiations without a clear understanding of where their rates fall relative to the market, at the payer, network, and service line level, risk agreeing to terms that will take multiple cycles to correct.
The executives I speak with who are using price transparency data strategically describe a meaningful shift in how they approach the negotiating table. The conversation moves from positional bargaining toward something more grounded in shared market evidence. That shift does not happen because the data gives one side an unfair advantage but rather because both sides are working from a shared picture of reality.
What This Moment in Healthcare Requires
Price transparency in healthcare is still maturing. The data quality challenges are real, regulatory requirements continue to evolve, and the full potential of this information, including its application to drug pricing and total cost of care analysis, is still being realized but it’s moving faster than ever before, and the direction is clear.
The information asymmetry that characterized healthcare contracting for decades is narrowing, and the organizations that treat that shift as an opportunity rather than an administrative burden are already seeing the benefits. They are negotiating from evidence rather than instinct, expanding into new markets with greater confidence, and aligning their internal teams around a shared and objective view of where they stand.
The data is available. The capability is buildable. The window for early movers is still open, though it will not stay that way indefinitely.