Ukuhlobisa: Ngokusekelwe ku-one of the healthcare’s most overlooked problems—documentation—Foster AI isebenzisa I-AI ukunciphisa i-doctor burnout futhi ngokumangalisayo ukwakha i-India’s healthcare data foundation. Umbhalo: I-Indian healthcare system akuyona kokungabikho kwezidingo. I-Indian suffers from a lack of time. Nge-doctor-to-patient ratio of roughly 1:1600—ngaphansi kwe-1:1000 eyenziwe yi-World Health Organization—i-clinicists e-hospitals zebhizinisi asebenza ngokuvamile ku-30 kuya ku-50 abasebenzisi ngosuku. Kulesi mkhakha, i-documentation ikakhulu. Izincwajana zithunywe, zithunywe ngempumelelo, zithunywe, noma zithunywe ngokuphelele, hhayi ngoba abacwaningi akufanele, kodwa ngenxa yokuba inqubo akufanele indawo ye-nothing ngaphandle kokubeletha ngokushesha. Kuyinto ingxaki Foster I-AI wabheka ukwelashwa-hhayi ukwelashwa, hhayi ukwelashwa kwezidakamizwa, kodwa ukuhlolwa. I-Anukriti Chaudhari, umbhali we-Foster AI, awukwazi ukuqala isikhokelo se-healthcare. Umbhali we-IIT e-Bombay, wahlala isikhathi sokucubungula ngaphambi kokufaka ku-iSpirit Foundation, lapho lithathwa namasebenzi we-digital public infrastructure emikhulu e-India, njenge-Aadhaar ne-UPI. Lezi zimo zihlanganisa ukubuyekeza kanjani izinhlelo zokusungula ukufinyelela - kanye nokungabikho kwe-foundations efanayo ku-healthcare. "Ukuhlolwa kwe-long-term was always healthcare," Chaudhari wathi. "Ngohlisa ukuthi ngaphandle kwedatha eyasakhiwo, konke okwakhiwa emanzini." Ngaphandle kokufaka ukuguqulwa kwezidakamizwa noma ukuchithwa kwe-clinical decision-making, i-Foster AI wathatha indlela enhle kakhulu - futhi enhle kakhulu. Le nkampani yasungulwa i-AI-driven documentation platform okuvumela izidakamizwa ukuchitha ama-notes ngemuva kwamakhasimende, ngokusebenzisa isixhumanisi elula ye-mobile noma ye-web. I-system kusebenza ama-inputs ye-voice, ama-rapports eziholela nezinye idatha ze-clinical ukuze ikhiqize imiphumela ephilayo, njenge-prescriptions, ama-summary ye-discharge ne-notes ze-clinical. One ingcindezi kusuka ezivamile ezivela ezivela: accents wabona ingcindezi kakhulu kunazo. U-Doctors ngokuvamile wahlala ngemuva kwamakhasimende, usebenzisa i-terminology ye-medical kunezinto zihlanganisa i-conversations live. Amamodeli e-Western abalandeli nge-Indian accents, ama-patient names kanye ne-drug references. I-Foster AI wahlanganyela ngokuvumelana nama-open-source amamodeli abalandeli ku-Indian datasets, ngokuvumela ama-Doctors ukuguqulwa kwe- vocabulary ngokuvamile - efana ne-text yokuvumelana kubasebenzisi ngamunye. Ukubuyekezwa kwangaphambili. Izinqubo ezidlulile ezidlulile emahoreni, njenge-preparation of discharge summaries, zingatholakala emizuzu. Ukubuyekezwa kwezidakamizwa ze-patient for second opinions zangaphakathi emizuzu angu-10 kuya emizuzu noma amabili. Ukuze ama-doktors, lokhu kwenziwa ngqo ekunciphiseni ukuphefumula lwezimali kanye nokunye isikhathi sokuxhumana nomdlavuza. Ngokusho ukucindezeleka kwezempilo, i-Foster AI ibekwe izindiza ezinzima zokusebenza. I-AI ayikwazi ukukhiqiza ulwazi ngaphandle kwemithombo yemithombo, futhi zonke i-output iyatholakala ekuqaleni ye-audio noma ama-documents. I-Foster AI ibonisa indlela yayo njengezinto ezisebenzayo kunokuba ye-autonomous-ukudluliselwa kwezimo ze-human-in-the-loop ezisetyenziswa ku-autonomous driving. Ukubuyekeza imiphumela yayo, iqembu waqala ukuhlaziywa kwiminyaka engaphezu kwama-300 emzimbeni emzimbeni ngokubambisana ne-cancer hospital enkulu. Ngokuvumelana nenkampani, isifundo wabheka i-zero i-hallucinations, ukunciphisa i-45% ye-documentation errors kanye ne-79% ukunciphisa isikhathi se-documentation kuqhathaniswa ne-manual notes. I-regulatory alignment isetshenziswe njenge-constraint yobugcisa kunezimo. I-Data ye-patient ibekwe ku-India geography, ivela izivumelwano ezinzima ze-access kanye nokuvumelana nezinkqubo ezifana ne-HIPAA ne-India's evolving DPDP guidelines. I-Foster I.I. yokufinyelela emakhemikhali ezivela emkhakheni. Cishe i-80% yama-patients e-India akufanele ukwelashwa ngokusebenzisa izakhiwo zamabhizinisi, lapho ububanzi, ukucindezeleka kanye nezithombe zebhizinisi zihlukile kakhulu. I-Foster I.I. isixazululwa ngokuvamile emakhemikhali ezivela emakhasini yokuqala e-Tata Memorial Hospital ku-AIIMS, i-PGI ne-JIPMER. Ngo-ecosystem eyenziwe ngokushesha nge-scaling ngokushesha ne-headline-grabbing claims, i-Foster AI inikeza imodeli enhle kakhulu ye-innovation ye-healthcare - okuyinto inikeza ukhuseleko, ukucubungula inqubo ye-workflow kanye nemiphumela ebonakalayo. Ngokufaka ama-documentation eduze, le nkampani ibeka isisekelo ye-future lapho inkqubo ye-healthcare e-India ikakhulukazi ine-memory ebonakalayo. Lesi sihloko lithunyelwe njenge-release ka-Sanya Kapoor ngaphansi kwe-HackerNoon's Business Blogging Program. Lesi sihloko lithunyelwe njenge-release by Sanya Kapoor ngaphansi . HackerNoon’s Business Blogging Program I-Business Blogging Program ye-HackerNoon
