Each year, Healthcare Informatics ranks the 100 vendors with the highest revenues derived from healthcare IT products and services earned in the U.S. based on revenue information from the previous year. This is what makes up the Healthcare Informatics 100 (THE 100). And for the second straight year, as part of THE 100 questionnaire, vendors were also asked to estimate the percentage of revenue earned in each of their product segments.
Beyond presenting the product segment revenues in each company listing, Healthcare Informatics editors took to further breaking down the top revenue earners in each of our seven segments: Financial Information Systems, Clinical Information Systems, Data Analytics, Data Management, Data Security, Data Exchange, and Consulting Services.
Throughout the next several days, Healthcare Informatics will reveal its top 5 companies by revenue within these seven different categories. Serving as a supplement to the broader Healthcare Informatics 100 list, we hope that this data, along with the content that accompanies it, gives you our readers a greater sense into the latest market trends within each of these respective product categories.
All data has been sent to Healthcare Informatics from the vendors themselves and confirmed by each company.
|Vendor||Product Breakout Revenue||% Of Whole Revenue|
|Conifer Health Solutions||$1,280,000,000||80%|
|3M Health Information Systems||$374,352,000||48%|
The financial information systems/revenue cycle product category is one of numerous categories in which the dominant electronic health record (EHR) vendor companies in healthcare are working to convince their customers and potential customers that they can provide one-stop shopping, as the need for integration and interoperability becomes more acute, in the emerging value-based purchasing era.
“I think that there are similarities with regard to what’s going on in the financial information systems category and the data analytics category,” says Christopher Longhurst, M.D., CIO of the UC San Diego Health system. “I think that in both categories, we’re moving from interoperability to integration. Historically, many organizations ran revenue cycle separate from their clinician operations. And many organizations used bolt-on Frankenstein data analytics modules. But people realize that things need to be integrated at the point of decision-making. There’s an analogous situation to that, too, in revenue cycle management. You see the large vendors trying to improve their rev cycle offerings. In both categories, I expect the dominant EMR vendors to make progress.”
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