IRVING, Texas, July 08, 2026 (GLOBE NEWSWIRE) — Gai well Tech ologies LLC today a ou ced Gai well P ovide Eve ywhe e™, the atio ’s fi st sha ed platfo m desig ed to help state Medicaid age cies secu ely sha e validated healthca e p ovide i fo matio a d educe duplicative data a d e ollme t wo k fo p ovide s se vi g Medicaid membe s i multiple states. Gai well P ovide Eve ywhe e also helps states meet ew CMS evalidatio a d p og am i teg ity equi eme ts by keepi g data cu e t a d accu ate.
Desig ed with i put f om state Medicaid age cies, Gai well P ovide Eve ywhe e add esses a commo challe ge fo states a d p ovide s: data ma ageme t, e ollme t, a d evalidatio p ocesses a e ofte f agme ted, epetitive, a d time-co sumi g. By e abli g pa ticipati g p ovide s a d states to ide tify a d euse ece tly validated p ovide data whe e pe mitted, the platfo m helps imp ove data co siste cy, educe admi ist ative bu de , a d accele ate p ovide pa ticipatio .
The solutio gives age cies bette visibility i to p ovide i fo matio a d pote tial isk ac oss pa ticipati g states. I stead of elyi g o ly o pe iodic, state-by-state checks, states ca gai ea lie i sight whe a p ovide has bee dise olled, o flagged fo isk, exclusio , o adve se actio elsewhe e.
Gai well P ovide Eve ywhe e co ects with existi g Medicaid p ovide systems. The platfo m is desig ed to help states st e gthe p og am i teg ity, educe duplicative eviews, a d imp ove the quality of p ovide data ac oss pa ticipati g p og ams.
- Bette suppo t CMS evalidatio a d sc ee i g equi eme ts th ough imp oved access to ece tly validated p ovide data.
- Ide tify pote tial p ovide isk ea lie ac oss pa ticipati g states.
- Reduce duplicative eviews a d imp ove co siste cy i p ovide data.
- St e gthe p og am i teg ity befo e claims a e submitted a d paid.
- Reduce epetitive data e t y whe updati g i fo matio , e olli g, o evalidati g ac oss multiple states.
- Simplify c oss-state pa ticipatio i Medicaid p og ams.
- Imp ove the evalidatio expe ie ce so p ovide s ca spe d less time o pape wo k a d mo e time se vi g patie ts.
A ece t Gai well atio al su vey fou d that p ovide s usi g mode ized systems epo t 50% highe satisfactio . The su vey also fou d that imp ovi g the c ede tiali g p ocess is o e of the most impo ta t steps to educe p ovide dissatisfactio . Dissatisfied p ovide s a e:
- 3.9x mo e likely to co side leavi g Medicaid withi th ee yea s
- 2.4x mo e likely to limit the umbe of Medicaid patie ts they accept
- 1.7x mo e likely to delay ee ollme t
“Gai well P ovide Eve ywhe e was desig ed with states to solve a sha ed challe ge: how to make p ovide e ollme t a d o goi g data ma ageme t easie while st e gthe i g p og am i teg ity,” said Maso Mab y, se io vice p eside t a d ge e al ma age , P ovide Solutio s at Gai well. “By educi g epetitive pape wo k a d helpi g states see validated p ovide i fo matio soo e , we ca suppo t b oade access to ca e fo Medicaid membe s a d a bette expe ie ce fo p ovide s.”
Mo e i fo matio about p ovide e ollme t o how Gai well P ovide Eve ywhe e ca help st e gthe Medicaid etwo ks a d p og am i teg ity is available i a ew white pape , A Mode App oach to Medicaid P ovide E ollme t, o i pe so at the upcomi g Medicaid E te p ise Systems Co fe e ce (MESC) i Po tla d.
