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I-AI Ekugunyazweni Kwangaphambili
I-AI ekugunyazweni kwangaphambili isebenzisa okuzenzakalelayo, izinjini zemithetho nokufunda komshini ukuthumela, ukuhlola nokunquma izicelo zokugunyazwa komshwalense zokwelashwa, izidakamizwa nezinqubo ngaphambi kokunakekelwa kokulethwa.
Kuleli khasi4 amaminithi afundiwe
Uhlolojikelele
Kubalulekile ngoba ukugunyazwa kwangaphambili kulibazisa ukunakekelwa futhi kusebenzisa inani elikhulu lesikhathi somtholampilo nesabasebenzi, kuyilapho ukubuyekezwa okuzenzakalelayo kudonsele amacala nemithetho emisha ngezimangalo zokuthi ama-algorithms anqabele ukunakekelwa ngokungafanele.
I-Deep Dive
Ukugunyazwa kwangaphambilini (i-PA) kuyinqubo lapho uhlelo lwezempilo kufanele lugunyaze izinsizakalo ezithile ngaphambi kokuba lizikhokhele. Ngokwesiko, abasebenzi basehhovisi labahlinzeki bagcwalisa amafomu aqondene nomkhokhi, ifeksi noma ukulayisha amarekhodi omtholampilo, kanye nezinsuku zokulinda ukuze umbuyekezi asebenzise imibandela yesidingo sezokwelapha. Sekuyisikhathi eside amaqembu odokotela ebika ukuthi lokhu kubambezela ukwelashwa futhi kunezela ekutubekeni. I-AI ibonakala nhlangothi zombili. Abahlinzeki nabathengisi basebenzisa i-automation ukuze bathole lapho i-PA idingeka, baqoqe imibhalo evela ku-EHR futhi balandelele isimo. Abakhokhi basebenzisa izinjini zemithetho nokufunda komshini ukuze bagunyaze ngokuzenzakalela izicelo eziqondile futhi bahlole ezinye. Umsebenzi wamazinga uyakweseka lokhu: iphrojekthi ye-HL7 Da Vinci ichaza ukuhamba komsebenzi okusekelwe ku-FHIR ukuze kubhekwe izidingo zokukhava, ukuqoqa imibhalo kanye nokuthumela izicelo ngekhompyutha. Ingxabano igxile ekuphikeni okuzenzakalelayo. Ukubika kanye namacala aqala ngo-2023 asola ukuthi abanye bomshuwalense bathembele kuma-algorithms ukuphika noma ukunqamula ukunakekelwa. Izibonelo zifaka isenzo sekilasi esimelene ne-UnitedHealth phezu kwethuluzi le-naviHealth nH Predict elisetshenziselwa ukunakekelwa kwangemva kwe-acute ku-Medicare Advantage, nezinsolo zokuthi uhlelo lwe-Cigna lwe-PxDx luvumela abaqondisi bezokwelapha benqabe izimangalo ngobuningi ngokubuyekezwa okuncane komuntu ngamunye. Izimangalo ezithintekayo ze-PxDx ngemuva kokuthi ukunakekelwa kwethulwe kunokugunyazwa kwangaphambili, kodwa kumise inkulumo-mpikiswano efanayo. Lawa macala ahlala ephikisana. Abalawuli baphendulile. Ukusebenzisana Kwe-CMS kanye Nomthetho Wokugcina Wokugunyazwa Wangaphambili, okhishwe ngo-2024, udinga abakhokhi ezinhlelweni ezifana ne-Medicare Advantage, i-Medicaid kanye nezinhlelo zokushintshanisa umbuso ukuze kuhlangatshezwane nezikhathi zesinqumo, ukushicilela amamethrikhi e-PA kanye nokwakha ama-PA API. I-CMS iphinde yatshela izinhlelo ze-Medicare Advantage ukuthi ama-algorithms angeke abe ukuphela kwesisekelo sokuphika ukunakekelwa ngaphandle kokucabangela izimo zesiguli ngasinye. Izifundazwe ezimbalwa, okuhlanganisa neCalifornia, ziphasise imithetho edinga ukuthi odokotela abaqeqeshiwe benze izinqumo zokuphika isidingo sezokwelapha. Umbono oyiphutha ojwayelekile ukuthi i-AI ku-PA isho ukuphika kuphela. Iningi levelu engokoqobo ukugunyazwa okusheshayo kanye namaphepha amancane; ingozi ilele ekuzenzeleni izinqumo ezimbi ngaphandle kokubuyekezwa komuntu okunengqondo.
I-Strategic Impact
Umongo nemithetho
Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso.
Ukulawulwa kwekhwalithi
Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada.
Yakha ukukhetha
Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili.
Ikusasa le-AI Ekugunyazweni Kwangaphambili
Ukugunyazwa kwangaphambili nge-elekthronikhi cishe kuzovame kakhulu njengoba izidingo ze-API yombuso ziqala futhi nabathengisi be-EHR bazakhela eku-odeni ukuhamba komsebenzi. I-Gold-carding, ekhulula odokotela abanezilinganiso eziphezulu zokugunyazwa kwezinye izibuyekezo, nayo iyasabalala, ngokwengxenye ngenxa yemithetho yezwe, futhi okuzenzakalelayo kwenza izinhlelo ezinjalo zisebenze kalula. Ngesikhathi esifanayo, ukwengamela ukwenqatshwa kwe-algorithmic kukhula ngemithetho yezwe, isiqondiso sombuso kanye nokumangalelana, ngakho izindlela zokucwaninga nokubuyekezwa komuntu okubhaliwe kuzobaluleka kakhulu. Amamodeli olimi anganciphisa umsebenzi wamaphepha kuzo zombili izinhlangothi, kodwa futhi aphakamisa ithemba lezinhlelo ze-AI zokuxoxisana ngempumelelo nezinye izinhlelo ze-AI, okwenza ukuba obala mayelana nemibandela yokufakwa kusemqoka.
Ukuqaliswa Komhlaba Wangempela
Lapho udokotela e-oda i-MRI, i-EHR yomtholampilo ihlola ukuthi uhlelo lwesiguli ludinga ukugunyazwa kusengaphambili futhi igcwalisa isicelo ngamanothi afanelekile nomlando wokuthwebula izithombe.
Umshwalense ugunyaza ngokuzenzakalelayo izicelo ezihambisana kahle nemibandela yomtholampilo eshicilelwe, efana nethamo elijwayelekile lesidakamizwa sokuxilongwa okubhaliwe, futhi ithumela yonke enye into kumhlengikazi noma umbuyekezi kadokotela.
Ithimba lomjikelezo wemali engenayo yesibhedlela lisebenzisa imodeli yolimi ukuze likhiphe ubufakazi bemithi yokwelapha eyehluleke ngaphambilini kumanothi eshadi, linciphisa isikhathi esisichitha izisebenzi zihlanganisa amaphakethe ezikhalazo.
Iqembu elimela isiguli liqhathanisa izilinganiso zokuphika nezokuchithwa kwezikhalazo zokunakekelwa kwangemva kokugula kakhulu ukuze kubonwe izimo lapho ithuluzi lokubikezela lokuhlala lingase liqhubekisele phambili ukunqanyulwa kwekhava.
Izingozi & Guardrails
Izidingo zokulawula zingenza ama-prototypes aqine ngenye indlela.
Idatha yomlando ingase ihlanganise ukuchema okulimaza imiphakathi ethile.
Izinhlelo zefa zingakha izithiyo zokuhlanganisa kanye nezindleko ezifihliwe.
Ukuqalisa Umhlahlandlela
Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni.
Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa.
Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi.
Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva.
Qhubeka Uhlole
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Imibuzo evame ukubuzwa
Iyini i-AI ekugunyazweni kwangaphambili?
I-AI ekugunyazweni kwangaphambili isebenzisa okuzenzakalelayo, izinjini zemithetho nokufunda komshini ukuthumela, ukuhlola nokunquma izicelo zokugunyazwa komshwalense zokwelashwa, izidakamizwa nezinqubo ngaphambi kokunakekelwa kokulethwa. Kubalulekile ngoba ukugunyazwa kwangaphambili kulibazisa ukunakekelwa futhi kusebenzisa inani elikhulu lesikhathi somtholampilo nesabasebenzi, kuyilapho ukubuyekezwa okuzenzakalelayo kudonsele amacala nemithetho emisha ngezimangalo zokuthi ama-algorithms anqabele ukunakekelwa ngokungafanele.
Kuyini ukugunyazwa kwangaphambili?
Ukugunyazwa kwangaphambili kuyisinyathelo sokuphatha ukusetshenziswa lapho umshwalense ebuyekeza futhi egunyaza izinsizakalo ezithile ngaphambi kokukhokha.
Iphrojekthi ye-HL7 Da Vinci ihlinzeka ngani?
Iziqondiso zokusetshenziswa kwe-Da Vinci zimisa izinyathelo zokugunyazwa zangaphambili ze-elekthronikhi ukuze ama-EHR nabakhokhi bakwazi ukushintshanisa izidingo namadokhumenti.
Isenzo sekilasi esibandakanya ithuluzi le-naviHealth le-nH Predict liphathelene naluphi uhlobo lokunakekela?
Icala lisola ukuthi leli thuluzi lasetshenziswa ukunqamula ukunakekelwa kwangemva kokugula, njengendawo yokuhlala esikhungweni sokulungisa isimo, kumalungu e-Medicare Advantage.
Kusho ukuthini ukuthi i-automation ohlangothini lomkhokhi ngokuvamile 'i-asymmetric by design'?
Ukuvumela izicelo ezifaneleka ngokucacile kusheshisa ukunakekelwa ngokuzenzakalela, kuyilapho ukugcina abantu benesibopho sokuphika okungaba khona kunciphisa ingcuphe yokwenqaba okuzenzakalelayo okungalungile.
I-CMS yathini izinhlelo ze-Medicare Advantage mayelana nama-algorithms?
Isiqondiso se-CMS sithi izinhlelo kufanele zicabangele izimo zesiguli ngasinye, ngakho-ke okuphumayo kwe-algorithm kukodwa akukwazi ukuthethelela ukuphika.
Qhubeka ufunda
Iziqondiso ezihlobene
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