Submission declined on 19 July 2026 by CopyleftEverything (talk). This draft appears to contain text generated by a large language model (such as ChatGPT). You cannot use LLMs to generate article content. LLM-generated pages with certain obvious signs of being machine generated may be deleted without notice. Instead, only summarize in your own words a range of independent, reliable, published sources that discuss the subject. See the advice page on large language models for more information. If you would like to continue working on the submission, click on the "Edit" tab at the top of the window. If you have not resolved the issues listed above, your draft will be declined again and potentially deleted. If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors. Please do not remove reviewer comments or this notice until the submission is accepted. Where to get help If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews. If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed. How to improve a draft Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia. Help:Wikitext – how to use the markup Help:Referencing for beginners – how to include references Wikipedia:Article development – how to develop your article Wikipedia:Writing better articles – how to improve your article Wikipedia:Verifiability – make sure your article includes reliable third-party sources You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Add tags to your draft Editor resources Easy tools: Citation bot (help) | Advanced: Fix bare URLs Declined by CopyleftEverything 22 days ago. Last edited by CopyleftEverything 22 days ago. Reviewer: Inform author. Resubmit Please note that if the issues are not fixed, the draft will be declined again.

• Comment: 1. Please read WP:SOLUTIONS and remove marketing fluff terms. 2. Please read WP:NPOV and rewrite article in neutral & encyclopedic for tone & content. CopyleftEverything (talk) 01:27, 19 July 2026 (UTC)

Relatient is a healthcare technology company founded in 2012 and headquartered in Atlanta, Georgia.^[1] The company develops patient access and scheduling software for hospitals, health systems, specialty medical groups and federally qualified health centers (FQHCs). Relatient's core product is Dash^[2] which integrates with more than 85 electronic health records (EHR) and practice management (PM) systems.^[3] As of 2026, the platform serves more than 50,000 healthcare providers and manages 150 million appointments annually.^[4] Dash features tools for scheduling, communication, intake and payments across contact center and digital channels.^[5]

In August 2021, Relatient announced a merger agreement with Radix Health, a healthcare technology company focused on patient access and scheduling solutions. The transaction was accompanied by more than $100 million in growth equity investment from Brighton Park Capital and its affiliates.^[6][7]

The merger combined Relatient's patient engagement platform with Radix Health's patient access and scheduling technology.^[8][9]

Relatient's technology has been used by healthcare organizations including Raleigh Orthopaedic and Ascension Health. Raleigh Orthopaedic, which has 54 providers and six locations across North Carolina, uses Relatient’s AI to handle 38% of calls. The practice receives more than 1,000 calls a day.^[10] Ascension Health, the nonprofit Catholic health system, used Relatient's patient engagement technology to increase adherence to its COVID-19 vaccination policy by 4.9 percentage points.^[11]

Integration partners include athenahealth,^[12] Epic, ModMed, Greenway Health, eClinicalWorks and NextGen.^[13]

Relatient has received KLAS recognition across multiple categories,^[14] including being named the 2020 KLAS Category Leader for Patient Outreach and receiving 2024 Best in KLAS recognition for Patient Self-Scheduling from KLAS Research.^[15] Inc. magazine recognized Relatient as one of the Fastest-Growing Private Companies in the Southeast Region.^[16] Becker’s Hospital Review named Relatient to its list of Revenue Cycle Management Companies to Know for 2026.^[17]