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Home Artificial Intelligence

SCWORX ANNOUNCES DEPLOYMENT OF AI-ASSISTED DATA MANAGEMENT MODEL FOR HEALTHCARE SUPPLY CHAIN DATA ATTRIBUTES

July 8, 2026
in Artificial Intelligence, GlobeNewswire, Web3
Reading Time: 10 mins read
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Middleto , MA, July 08, 2026 (GLOBE NEWSWIRE) — SCWo x Co p., a p ovide of healthca e supply chai data ma ageme t, i te ope ability a d a alytics solutio s, today a ou ced the deployme t of its A tificial I tellige ce assisted Data Ma ageme t Model, a platfo m desig ed to automate po tio s of the SCWo x-co t olled data ma ageme t p ocess a d assist with the classificatio , o malizatio , e ichme t a d gove a ce of healthca e supply chai p oduct att ibutes.

The AI-assisted f amewo k exte ds SCWo x’s existi g healthca e data ma ageme t platfo m by leve agi g its healthca e item database, developed ove the past 12 yea s, togethe with its p op ieta y Healthca e Att ibute Catalog, adva ced UNSPSC methodology a d substitute item database.  By combi i g these diffe e tiated healthca e data assets with comme cially available AI models, SCWo x is st e gthe i g its positio i healthca e data quality while delive i g faste tu a ou d times fo data clea si g a d att ibute-e ichme t p ojects.

SCWo x is i teg ati g la ge la guage model capabilities f om i dust y-leadi g AI p ovide s i to a p ivate e vi o me t, with cu e t effo ts p ima ily utilizi g A th opic’s family of la ge la guage models i teg ated as o e compo e t of the SCWo x-co t olled data ma ageme t platfo m wo kflow. I additio to a ticipati g faste tu a ou d times fo custome data delive y, SCWo x expects these AI tools to assist i accele ati g applicatio developme t, featu e c eatio , bug esolutio , data validatio a d wo kflow automatio , with ta geted p oductivity imp oveme ts a d cost savi gs ac oss selected i te al developme t a d data ma ageme t p ocesses. 

Healthca e p ovide s, dist ibuto s, g oup pu chasi g o ga izatio s, ma ufactu e s a d ERP platfo ms ely o accu ate p oduct att ibutes to suppo t pu chasi g, i ve to y ma ageme t, co t act complia ce, supply dis uptio mitigatio , p ocedu al cost a alysis a d fi a cial pe fo ma ce. I complete o i co siste t data ca esult i lost eve ue, duplicate items, i ve to y waste, pu chasi g e o s, co t act leakage, delayed ERP impleme tatio s a d educed visibility i to supply chai spe di g.

SCWo x p ovides data ma ageme t se vices to help healthca e p ovide s a d SCWo x pa t e s add ess these challe ges by t a sfo mi g f agme ted a d i complete healthca e p oduct eco ds i to sta da dized, e iched a d actio able supply chai i fo matio .

The SCWo x AI assisted Data Ma ageme t Model ope ates i co ju ctio with the Compa y’s p op ieta y healthca e data assets, i cludi g millio s of o malized healthca e p oduct eco ds, att ibute defi itio s a d classificatio data accumulated th ough yea s of healthca e data ma ageme t e gageme ts. The SCWo x platfo m is desig ed to utilize AI models togethe with the Compa y’s p op ieta y healthca e p oduct catalog a d huma quality assu a ce, i cludi g its e ha ced UNSPSC-based classificatio methodology, to imp ove att ibute ecog itio , classificatio co siste cy a d data gove a ce ac oss healthca e supply chai data. The Compa y’s p op ieta y healthca e databases, busi ess ules a d classificatio methodologies p ovide the domai -specific co text used to guide AI-assisted data o malizatio , classificatio a d e ichme t wo kflows.

“The healthca e i dust y co ti ues to st uggle with f agme ted a d i co siste t supply chai data,” said A de s Ohlsso , Chief Tech ology Office of SCWo x. “Ou AI Data Ma ageme t Model combi es adva ced AI tech ologies with SCWo x’s healthca e-specific expe tise, p op ieta y att ibute catalog, item substitute i tellige ce, a d e ha ced UNSPSC-based classificatio methodology to imp ove data quality, accele ate impleme tatio timeli es, a d p ovide healthca e o ga izatio s with mo e actio able supply chai i tellige ce.”

Ohlsso added, “A tificial i tellige ce is o ly o e compo e t of the solutio . SCWo x combi es comme cially available AI models with SCWo x’s p op ieta y healthca e data a d softwa e assets, huma QA, classificatio methodologies a d domai expe tise. The value comes f om that combi atio , which we believe e ables faste tu a ou d, g eate scalability, imp oved quality a d mea i gful cost efficie cies fo hospitals a d health systems. We believe this platfo m will e able SCWo x to delive highe -quality esults at lowe cost a d with faste tu a ou d fo ou custome s a d pa t e s.”

The u de lyi g AI models a e used i co ju ctio with SCWo x’s p op ieta y softwa e, healthca e databases, busi ess ules a d huma quality assu a ce p ocesses, whe e app op iate, to validate output quality. The AI Data Ma ageme t Model is cu e tly bei g deployed ac oss SCWo x’s healthca e data ma ageme t offe i gs a d is bei g made available to custome s o selected e gageme ts, with b oade availability expected as impleme tatio p og esses.

About SCWo x

SCWo x Co p. (OTCQB: WORX) is a p ovide of healthca e data ma ageme t solutio s focused o imp ovi g the quality, accu acy, a d i te ope ability of c itical healthca e i fo matio . SCWo x helps healthca e o ga izatio s o malize, clea se, e ich, a d ma age supply chai a d cli ical data to imp ove ope atio al pe fo ma ce, fi a cial outcomes, a d decisio -maki g.

Safe Ha bo Stateme t

This p ess elease co tai s fo wa d-looki g stateme ts withi the mea i g of the P ivate Secu ities Litigatio Refo m Act of 1995. Fo wa d-looki g stateme ts i clude, but a e ot limited to, stateme ts ega di g SCWo x Co p.’s expectatio s, pla s, objectives, futu e ope ati g esults, busi ess st ategies, ma ket oppo tu ities, p oduct capabilities, custome adoptio , a ticipated be efits of its tech ology, a tificial i tellige ce i itiatives, pa t e ships, a d futu e fi a cial pe fo ma ce. These stateme ts a e ofte ide tified by wo ds such as “a ticipates,” “believes,” “expects,” “i te ds,” “pla s,” “may,” “will,” “should,” “could,” “would,” “co ti ue,” “estimate,” “p oject,” “pote tial,” “fo ecast,” o simila exp essio s.

Fo wa d-looki g stateme ts a e based o ma ageme t’s cu e t expectatio s a d assumptio s a d a e subject to k ow a d u k ow isks, u ce tai ties, a d othe facto s that could cause actual esults to diffe mate ially f om those exp essed o implied by such stateme ts. These isks a d u ce tai ties i clude, but a e ot limited to, the Compa y may ot be able to successfully develop, comme cialize, a d impleme t its p oducts a d se vices; ates of custome accepta ce of ew tech ologies, i cludi g a tificial i tellige ce-assisted solutio s, may be lowe tha a ticipated; ew tech ologies may ot pe fo m as expected, dis uptio s stemmi g f om depe de ce o thi d-pa ty a tificial i tellige ce p ovide s,  a ticipated cost savi gs, quality imp oveme ts o tu a ou d times may be less tha expected; completio of custome impleme tatio s may take lo ge tha expected; the Compa y may ot be able to mai tai a d expa d custome elatio ships as expected; egulato y developme ts that adve sely affect ou AI assisted tools; cybe secu ity isks elated to ou tech ology a d p op ieta y database; a d the othe isks desc ibed i the Compa y’s fili gs with the U.S. Secu ities a d Excha ge Commissio .

Reade s a e cautio ed ot to place u due elia ce o these fo wa d-looki g stateme ts, which speak o ly as of the date of this p ess elease. Except as equi ed by applicable law, SCWo x Co p. u de takes o obligatio to update o evise a y fo wa d-looki g stateme ts to eflect eve ts o ci cumsta ces afte the date of this elease o to eflect the occu e ce of u a ticipated eve ts.

I vesto Relatio s Co tact:

SCWo x Co p.I vesto Relatio sEmail: i @scwo x.comPho e: 1-844-472-9679

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