Ana sa ran bayanan wucin gadi zai zama ƙarfin canji a fagen kiwon lafiya.Don haka ta yaya likitoci da marasa lafiya ke amfana daga tasirin kayan aikin AI?
Masana'antar kiwon lafiya ta yau ta balaga sosai kuma tana iya yin wasu manyan canje-canje.Daga cututtuka na yau da kullum da ciwon daji zuwa ilimin rediyo da kimanta haɗarin haɗari, masana'antun kiwon lafiya suna da alama suna da damar da ba su da yawa don amfani da fasaha don ƙaddamar da madaidaicin, inganci da tasiri mai mahimmanci a cikin kulawa da haƙuri.
Tare da haɓaka fasahar fasaha, marasa lafiya suna da buƙatu masu girma da girma ga likitoci, kuma adadin bayanan da ake samu yana ci gaba da girma a cikin ƙimar mai ban tsoro.Hankalin wucin gadi zai zama injiniya don haɓaka ci gaba da haɓaka aikin likita.
Idan aka kwatanta da bincike na al'ada da fasaha na yanke shawara na asibiti, hankali na wucin gadi yana da fa'idodi da yawa.Lokacin da algorithm koyo ya yi hulɗa tare da bayanan horo, zai iya zama mafi daidai, yana ba likitoci damar samun fahimtar da ba a taɓa gani ba game da ganewar asali, tsarin jinya, bambancin magani da sakamakon haƙuri.
A taron 2018 na fasaha na fasaha na fasaha na fasaha na duniya (wmif) wanda Partners Healthcare ke gudanarwa, masu bincike na likita da ƙwararrun likitocin sun yi karin bayani game da fasahohi da fannonin masana'antun likitanci waɗanda ke da alama suna da tasiri mai mahimmanci a kan ɗaukar hankali na wucin gadi a gaba. shekaru goma.
Anne kiblanksi, MD, shugaban CO na wmif a cikin 2018, da Gregg Meyer, MD, babban jami'in ilimi na Partners Healthcare, sun ce irin wannan "saukarwa" da aka kawo wa kowane yanki na masana'antu yana da yuwuwar kawo fa'ida ga marasa lafiya kuma yana da fa'ida. yuwuwar nasarar kasuwanci.
Tare da taimakon masana daga kiwon lafiya na abokan tarayya, ciki har da Dokta Keith Dreyer, Farfesa na Makarantar Kiwon Lafiya ta Harvard (HMS), babban jami'in ilimin kimiyya na abokan tarayya, da Dr. Katherine andreole, darektan dabarun bincike da ayyuka a Babban Asibitin Massachusetts (MGH) , ya ba da shawarar hanyoyi 12 da AI za ta kawo sauyi a ayyukan likita da kimiyya.
1.Unify tunani da na'ura ta hanyar kwakwalwa kwamfuta dubawa
Yin amfani da kwamfuta don sadarwa ba sabon ra'ayi ba ne, amma ƙirƙirar haɗin kai tsaye tsakanin fasaha da tunanin ɗan adam ba tare da keyboard, linzamin kwamfuta da nuni ba filin bincike ne na iyaka, wanda ke da aikace-aikace mai mahimmanci ga wasu marasa lafiya.
Cututtukan tsarin jijiya da rauni na iya sa wasu marasa lafiya su rasa ikon tattaunawa mai ma'ana, motsi da hulɗa tare da wasu da muhallinsu.Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwararren Ƙwaƙwalwa (BCI) wanda ke da goyan bayan basirar wucin gadi zai iya mayar da waɗannan abubuwan da suka dace ga marasa lafiya waɗanda ke damuwa game da rasa waɗannan ayyuka har abada.
Leigh Hochberg, MD, darektan cibiyar neurotechnology da neurorehabilitation ya ce "Idan na ga majiyyaci a cikin sashin kula da cututtukan jijiyoyin jiki wanda ba zato ba tsammani ya rasa ikon yin aiki ko yin magana, ina fatan dawo da ikonsa na sadarwa a rana mai zuwa." Babban Asibitin Massachusetts (MGH).Ta hanyar amfani da kwakwalwar kwamfuta ta kwakwalwa (BCI) da kuma basirar wucin gadi, za mu iya kunna jijiyoyi masu alaka da motsin hannu, kuma ya kamata mu iya sa majiyyaci sadarwa tare da wasu a kalla sau biyar a lokacin dukan aikin, kamar yin amfani da fasahar sadarwa ta ko'ina irin su. kamar kwamfutocin kwamfutar hannu ko wayoyin hannu."
Ƙwaƙwalwar kwamfuta na kwakwalwa na iya inganta yanayin rayuwar marasa lafiya da ke fama da ciwon ƙwayar cuta na amyotrophic (ALS), bugun jini ko ciwon atresia, da kuma 500000 marasa lafiya da ke fama da ciwon kashin baya a duniya a kowace shekara.
2.Develop na gaba ƙarni na radiation kayayyakin aiki
Hotunan radiyo da aka samu ta hanyar hoton maganadisu na maganadisu (MRI), na'urorin daukar hoto na CT, da na'urorin X-ray suna ba da ganuwa mara lalacewa a cikin jikin mutum.Duk da haka, yawancin hanyoyin bincike har yanzu suna dogara ga samfuran nama na jiki da aka samu ta hanyar biopsy, wanda ke da haɗarin kamuwa da cuta.
Masana sun yi hasashen cewa a wasu lokuta, hankali na wucin gadi zai ba wa ƙarni na gaba na kayan aikin Radiology damar zama daidai da cikakkun bayanai don maye gurbin buƙatar samfuran nama mai rai.
Alexandra golby, MD, darektan aikin tiyatar neurosurgery na hoto a asibitin mata na Brigham (BWh), ta ce, "muna so mu kawo tawagar masu binciken tare da likitocin tiyata ko masu aikin rediyo da masu ilimin cututtuka, amma babban kalubale ne ga kungiyoyi daban-daban don cimma hadin gwiwa. da daidaiton maƙasudai. Idan muna son rediyon rediyo don samar da bayanan da ake samu a halin yanzu daga samfuran nama, to dole ne mu sami damar cimma matsaya kusa don sanin ainihin gaskiyar kowane pixel. "
Nasara a cikin wannan tsari na iya ba wa likitocin asibiti damar fahimtar cikakken aikin ƙwayar cuta, maimakon yin yanke shawara na jiyya dangane da ɗan ƙaramin ɓangaren halayen ƙwayar cuta.
AI kuma na iya mafi kyawun ayyana ɓarnar cutar kansa, kuma mafi dacewa da ƙayyadaddun manufar magani.Bugu da ƙari, basirar wucin gadi yana taimakawa wajen gane "biopsy na gani" da kuma inganta ƙididdiga a fagen Radiology, wanda ya himmatu wajen yin amfani da algorithms na tushen hoto don nuna halayen phenotypic da kwayoyin halitta na ciwace-ciwacen daji.
3.Faɗaɗa sabis na likita a wuraren da ba a kula da su ba ko masu tasowa
Rashin horar da ma'aikatan kiwon lafiya a kasashe masu tasowa, ciki har da masu fasaha na duban dan tayi da masu aikin rediyo, zai rage yiwuwar amfani da ayyukan kiwon lafiya don ceton rayukan marasa lafiya.
Taron ya yi nuni da cewa, akwai kwararrun likitocin da ke aiki a asibitoci shida da ke Boston tare da shahararriyar titin Longwood fiye da dukkan asibitocin da ke yammacin Afirka.
Hankali na wucin gadi na iya taimakawa rage tasirin ƙarancin ƙarancin likitocin ta hanyar ɗaukar wasu nauyin binciken da aka saba wa ɗan adam.
Misali, kayan aikin hoto na AI na iya amfani da hasken kirji don bincika alamun tarin fuka, yawanci tare da daidaito daidai da likita.Ana iya tura wannan fasalin ta hanyar aikace-aikacen masu samarwa a yankunan matalauta albarkatun, rage buƙatar ƙwararrun likitocin rediyo.
"Wannan fasaha tana da babban damar inganta kiwon lafiya," in ji Dokta jayashree kalpthy Cramer, mataimakin farfesa a fannin ilimin kimiyyar Radiology a Babban Asibitin Massachusetts (MGH)
Duk da haka, masu haɓaka algorithm AI dole ne su yi la'akari da gaskiyar cewa mutanen al'ummomi ko yankuna daban-daban na iya samun nau'o'in ilimin lissafi da muhalli na musamman, wanda zai iya rinjayar aikin cutar.
"Alal misali, yawan mutanen da cututtuka ke shafa a Indiya na iya bambanta sosai da na Amurka," in ji ta.Lokacin da muka haɓaka waɗannan algorithms, yana da mahimmanci don tabbatar da cewa bayanan suna wakiltar bayyanar cututtuka da bambancin yawan jama'a.Ba za mu iya haɓaka algorithms bisa ga yawan jama'a ɗaya kawai ba, amma kuma muna fatan zai iya taka rawa a cikin sauran al'ummomi."
4.Rage nauyin amfani da bayanan lafiyar lantarki
Rubutun lafiyar lantarki (ta) ta taka muhimmiyar rawa a cikin tafiya ta dijital na masana'antar kiwon lafiya, amma wannan canji ya kawo matsaloli da yawa da suka danganci wuce gona da iri, takardu marasa iyaka da gajiya mai amfani.
Masu haɓaka rikodin lafiyar lantarki (ta) yanzu suna amfani da hankali na wucin gadi don ƙirƙirar ƙa'idar da ta fi dacewa da sarrafa ayyukan yau da kullun waɗanda ke ɗaukar lokaci mai yawa na mai amfani.
Dokta Adam Landman, mataimakin shugaban kasa kuma babban jami'in yada labarai na kiwon lafiya na Brigham, ya ce masu amfani suna ciyar da mafi yawan lokutan su akan ayyuka uku: takardun asibiti, odar shigarwa, da rarraba akwatunan saƙon saƙo.Gane magana da furucin na iya taimakawa haɓaka aikin sarrafa daftarin aiki, amma kayan aikin sarrafa harshe na halitta (NLP) ƙila ba su isa ba.
"Ina tsammanin yana iya zama dole a kasance da ƙarfin hali kuma a yi la'akari da wasu canje-canje, kamar yin amfani da rikodin bidiyo don maganin asibiti, kamar yadda 'yan sanda ke sanye da kyamarori," in ji Landman.Ana iya amfani da basirar wucin gadi da koyan na'ura don tsara waɗannan bidiyon don dawo da su nan gaba.Kamar Siri da Alexa, waɗanda ke amfani da mataimakan bayanan sirri na wucin gadi a gida, za a kawo mataimakan kama-da-wane a gefen gadon marasa lafiya a nan gaba, ba da damar likitocin su yi amfani da bayanan sirri don shigar da umarnin likita."
AI kuma na iya taimakawa wajen gudanar da buƙatun yau da kullun daga akwatunan saƙo mai shiga, kamar kari na magunguna da sanarwar sakamako.Hakanan yana iya taimakawa wajen ba da fifikon ayyuka waɗanda suke buƙatar kulawar likitocin da gaske, yana sauƙaƙa wa marasa lafiya aiwatar da jerin abubuwan da suke yi, in ji Landman.
5.Hadarin juriya na rigakafi
Juriya na ƙwayoyin cuta yana ƙara zama barazana ga ɗan adam, saboda yawan amfani da waɗannan mahimman magunguna na iya haifar da haɓakar ƙwayoyin cuta masu yawa waɗanda ba sa amsa magani.Kwayoyin cuta masu jure wa miyagun ƙwayoyi na iya haifar da mummunar lalacewa a cikin muhallin asibiti, suna kashe dubun-dubatar marasa lafiya kowace shekara.Clostridium difficile kadai yana kashe kusan dala biliyan 5 a shekara ga tsarin kiwon lafiyar Amurka kuma yana haifar da mutuwar sama da 30000.
Bayanan EHR yana taimakawa wajen gano alamun kamuwa da cuta da kuma nuna alamar haɗari kafin mai haƙuri ya fara nuna alamun.Yin amfani da koyan na'ura da kayan aikin fasaha na wucin gadi don fitar da waɗannan nazarin na iya inganta daidaiton su da ƙirƙirar faɗakarwa da sauri kuma mafi inganci ga masu ba da lafiya.
"Kayan aikin leken asiri na wucin gadi na iya saduwa da tsammanin kulawar kamuwa da cuta da juriya na ƙwayoyin cuta," in ji Dokta Erica Shenoy, mataimakin darektan kula da kamuwa da cuta a Babban Asibitin Massachusetts (MGH).Idan ba haka ba, to kowa zai gaza.Saboda asibitoci suna da bayanai masu yawa na EHR, idan ba su yi cikakken amfani da su ba, idan ba su haifar da masana'antun da suka fi dacewa da sauri a cikin ƙirar gwaji na asibiti ba, kuma idan ba su yi amfani da EHRs da ke haifar da waɗannan bayanan ba. za su fuskanci gazawa."
6. Createirƙiri ƙarin ingantaccen bincike don hotunan cututtukan cututtuka
Dokta Jeffrey Golden, shugaban sashen ilimin cututtuka a asibitin mata na Brigham (BWh) kuma farfesa a fannin ilimin cututtuka a HMS, ya ce masu ilimin cututtuka suna samar da daya daga cikin mahimman hanyoyin gano bayanan bincike don cikakkun masu ba da sabis na likita.
"70% na shawarwarin kiwon lafiya sun dogara ne akan sakamakon cututtuka, kuma tsakanin 70% da 75% na duk bayanan da ke cikin EHRs sun fito ne daga sakamakon cututtuka," in ji shi.Kuma idan sakamakon ya fi daidai, da wuri za a yi ainihin ganewar asali.Wannan ita ce manufar da ilimin likitancin dijital da basirar wucin gadi ke da damar cimmawa."
Binciken matakin pixel mai zurfi akan manyan hotuna na dijital yana baiwa likitoci damar gane bambance-bambancen da ke iya tserewa idanuwan mutane.
"Yanzu mun kai matsayin da za mu iya tantance ko ciwon daji zai ci gaba da sauri ko kuma sannu a hankali, da kuma yadda za a canza maganin marasa lafiya bisa ga algorithms maimakon matakan asibiti ko ƙididdigar ilimin tarihin," in ji zinariya.Zai zama babban ci gaba."
Ya kara da cewa, "AI kuma na iya inganta yawan aiki ta hanyar gano abubuwan da ke da sha'awar nunin faifai kafin likitocin su duba bayanan. AI na iya tace ta hanyar zane-zane da kuma jagorantar mu don ganin abubuwan da suka dace don mu iya tantance abin da ke da mahimmanci da abin da ba haka ba. Wannan yana inganta. ingancin amfani da masu ilimin cututtuka da kuma ƙara darajar nazarin su a kowane hali."
Kawo hankali ga na'urorin likita da injuna
Na'urori masu wayo suna ɗaukar mahallin mabukaci kuma suna samar da na'urori masu kama daga ainihin bidiyo a cikin firiji zuwa motocin da ke gano karkatar da direba.
A cikin yanayin likita, na'urori masu hankali suna da mahimmanci don sa ido kan marasa lafiya a cikin ICUs da sauran wurare.Yin amfani da hankali na wucin gadi don haɓaka ikon gano lalacewar yanayin, kamar nuna cewa sepsis yana tasowa, ko fahimtar rikice-rikice na iya inganta sakamako mai mahimmanci kuma yana iya rage farashin magani.
"Lokacin da muke magana game da haɗa bayanai daban-daban a cikin tsarin kiwon lafiya, muna buƙatar haɗawa da faɗakar da likitocin ICU don shiga tsakani da wuri-wuri, kuma tattara waɗannan bayanan ba abu ne mai kyau da likitocin ɗan adam za su iya yi ba," in ji Mark Michalski. , Babban darektan Cibiyar Kimiyyar Kimiyya ta asibiti a BWh.Shigar da algorithms masu wayo a cikin waɗannan na'urori yana rage nauyin fahimi akan likitoci kuma yana tabbatar da cewa ana jinyar marasa lafiya da wuri-wuri."
8.promoting immunotherapy don maganin ciwon daji
Immunotherapy yana daya daga cikin mafi kyawun hanyoyin magance ciwon daji.Ta hanyar amfani da tsarin garkuwar jiki don kai hari ga ciwace-ciwacen daji, marasa lafiya na iya shawo kan ciwace-ciwacen daji.Duk da haka, ƙananan marasa lafiya ne kawai ke amsawa ga tsarin rigakafi na yanzu, kuma masu ilimin likitancin har yanzu ba su da madaidaicin hanyar da za a iya dogara da su don sanin ko wane marasa lafiya za su amfana daga tsarin.
Algorithms na koyon inji da ikonsu na haɗa saitin bayanai masu sarƙaƙiya na iya iya fayyace keɓantaccen tsarin halittar ɗaiɗaikun mutane da samar da sabbin zaɓuɓɓuka don maganin da aka yi niyya.
"Kwanan nan, ci gaba mafi ban sha'awa shine masu hana wuraren bincike, waɗanda ke toshe sunadaran da wasu ƙwayoyin rigakafi ke samarwa," in ji Dokta Long Le, darektan ilimin lissafi da ci gaban fasaha a babban asibitin Massachusetts (MGH) cikakkiyar cibiyar bincike.Amma har yanzu ba mu fahimci duk matsalolin ba, wanda ke da rikitarwa.Tabbas muna buƙatar ƙarin bayanan haƙuri.Waɗannan jiyya sababbi ne, don haka ba majiyyata da yawa ba su ɗauke su a zahiri.Sabili da haka, ko muna buƙatar haɗa bayanai a cikin ƙungiya ko a cikin ƙungiyoyi masu yawa, zai zama muhimmiyar mahimmanci wajen ƙara yawan marasa lafiya don fitar da tsarin ƙirar."
9. Juya bayanan kiwon lafiya na lantarki zuwa abubuwan da za a iya dogara da haɗarin haɗari
Rubutun lafiyar lantarki (ta) taska ce ta bayanan haƙuri, amma ƙalubale ne na yau da kullun ga masu samarwa da masu haɓakawa don cirewa da kuma bincika babban adadin bayanai a cikin daidaitaccen lokaci kuma amintacce.
Matsalolin ingancin bayanai da amincin, haɗe tare da rikicewar tsarin bayanai, tsararru da shigarwar da ba a tsara su ba da cikakkun bayanai, yana da wahala ga mutane su fahimci daidai yadda ake aiwatar da ma'anar haɗarin haɗari, ƙididdigar tsinkaya da tallafin yanke shawara na asibiti.
Dokta Ziad OBERMEYER, mataimakin farfesa a likitancin gaggawa a asibitin mata na Brigham (BWh) kuma mataimakin farfesa a Makarantar Kiwon Lafiya ta Harvard (HMS), ya ce, "akwai wani aiki mai wuyar gaske don haɗa bayanai zuwa wuri guda. Amma wata matsala ita ce fahimtar juna. Abin da mutane ke samu lokacin da suka hango wata cuta a cikin rikodin lafiyar lafiyar lantarki (ta) Mutane na iya jin cewa algorithms na fasaha na wucin gadi na iya yin hasashen damuwa ko bugun jini, amma sun gano cewa a zahiri suna hasashen karuwar farashin bugun jini. shafa kanta."
Ya ci gaba da cewa, "dogara ga sakamakon MRI yana da alama ya samar da ƙarin takamaiman bayanai. Amma yanzu dole ne mu yi tunani game da wanda zai iya samun MRI? Don haka tsinkayar ƙarshe ba shine sakamakon da ake tsammani ba. "
Binciken NMR ya samar da yawan cin nasara na cin nasara da kayan aikin daidaitawa, musamman lokacin da masu bincike ke amfani da dabarun ilmantarwa mai zurfi don gano sabbin alaƙa tsakanin saitin bayanan da ba su da alaƙa.
Duk da haka, OBERMEYER ya yi imanin cewa tabbatar da cewa waɗannan algorithms ba su gano abubuwan da ke ɓoye a cikin bayanan ba yana da mahimmanci don ƙaddamar da kayan aikin da za su iya inganta kulawar asibiti da gaske.
“Babban kalubalen shi ne mu tabbatar mun san ainihin abin da muka yi hasashe kafin mu fara bude akwatin bakar fata da kuma duba yadda ake hasashen,” inji shi.
10. Kula da matsayin lafiya ta na'urori masu sawa da na'urori na sirri
Kusan duk masu amfani yanzu suna iya amfani da na'urori masu auna firikwensin don tattara bayanai game da ƙimar lafiya.Daga wayowin komai da ruwan da ke da matakan mataki zuwa na'urori masu sawa waɗanda ke bin bugun zuciya duk rana, ana iya samar da ƙarin bayanai masu alaƙa da lafiya a kowane lokaci.
Tattara da nazarin waɗannan bayanan da haɓaka bayanan da marasa lafiya ke bayarwa ta aikace-aikace da sauran na'urorin sa ido na gida na iya ba da hangen nesa na musamman ga lafiyar mutum da taron jama'a.
AI za ta taka muhimmiyar rawa wajen fitar da bayanan da za a iya aiwatarwa daga wannan babban bayanan bayanai daban-daban.
Amma Dokta Omar Arnout, likitan neurosurgeon a Asibitin mata na Brigham (BWh), darektan CO na cibiyar don sakamakon ilimin neuroscience, ya ce yana iya ɗaukar ƙarin aiki don taimakawa marasa lafiya su dace da wannan kusancin, bayanan sa ido mai gudana.
"Mun kasance muna da 'yanci don sarrafa bayanan dijital," in ji shi.Amma yayin da leken asirin ke faruwa a Cambridge analytics da Facebook, mutane za su yi taka tsantsan game da wanda za su raba bayanan da suka raba."
Ya kara da cewa marasa lafiya sun fi amincewa da likitocin su fiye da manyan kamfanoni kamar Facebook, wanda zai iya taimakawa wajen rage rashin jin daɗi na samar da bayanai don manyan shirye-shiryen bincike.
"Wataƙila bayanan sawa za su yi tasiri sosai saboda hankalin mutane yana da haɗari sosai kuma bayanan da aka tattara suna da tsauri," in ji Arnout.Ta ci gaba da tattara bayanan granular, bayanai sun fi dacewa don taimakawa likitoci su kula da marasa lafiya."
11.sanya wayoyi masu wayo su zama kayan aikin bincike mai karfi
Masana sun yi imanin cewa hotunan da aka samu daga wayoyi masu wayo da sauran albarkatun matakin mabukaci za su zama wani muhimmin ƙari ga ingancin hoto na asibiti, musamman a yankunan da ba a yi amfani da su ba ko kuma ƙasashe masu tasowa, ta hanyar ci gaba da amfani da ayyuka masu ƙarfi na na'urori masu ɗaukar hoto.
Kyakkyawan kyamarar wayar hannu yana inganta kowace shekara, kuma yana iya haifar da hotuna da za a iya amfani da su don nazarin algorithm AI.Likitan fata da na ido sun fara cin gajiyar wannan yanayin.
Har ma masu binciken Burtaniya sun kirkiro wani kayan aiki don gano cututtukan ci gaba ta hanyar nazarin hotunan fuskokin yara.Algorithm na iya gano fassarori daban-daban, kamar layin mandible na yara, matsayin idanu da hanci, da sauran halayen da za su iya nuna rashin daidaituwar fuska.A halin yanzu, kayan aiki na iya daidaita hotuna na yau da kullun tare da cututtuka sama da 90 don ba da tallafin yanke shawara na asibiti.
Dokta Hadi shafiee, darekta na micro/nano medicine and digital health laboratory a asibitin mata na Brigham (BWh), ta ce: "mafi yawan mutane suna dauke da wayoyin hannu masu karfin gaske tare da na'urori daban-daban da aka gina a ciki. Wannan babbar dama ce a gare mu. ’Yan wasan masana’antu sun fara kera manhajojin Ai software da hardware a cikin na’urorinsu, ba haka ba ne, a duniyarmu ta zamani, ana samar da bayanai sama da terabyte miliyan 2.5 a kowace rana, a fannin wayar salula, masana’antun sun yi imanin cewa za su iya amfani da wannan. bayanai don basirar wucin gadi don samar da ƙarin keɓaɓɓen ayyuka, sauri da ƙarin ayyuka masu hankali."
Yin amfani da wayoyi masu wayo don tattara hotunan idanun marasa lafiya, raunin fata, raunuka, cututtuka, magunguna ko wasu batutuwa na iya taimakawa wajen magance karancin kwararru a wuraren da ba a kula da su ba, tare da rage lokacin tantance wasu korafe-korafe.
"Za a iya samun wasu manyan al'amura a nan gaba, kuma za mu iya yin amfani da wannan damar wajen magance wasu muhimman matsalolin kula da cututtuka a wurin kulawa," in ji Shafiee.
12.Innovating asibiti yanke shawara tare da bedside AI
Yayin da masana'antar kiwon lafiya ke juyawa zuwa sabis na tushen kuɗi, yana ƙara nisa daga kula da lafiya mara kyau.Rigakafin kafin cututtuka na yau da kullum, cututtukan cututtuka masu tsanani da lalacewa kwatsam shine makasudin kowane mai bayarwa, kuma tsarin ramuwa yana ba su damar haɓaka hanyoyin da za su iya cimma matakan aiki da tsinkaya.
Hankalin wucin gadi zai samar da fasaha na asali da yawa don wannan juyin halitta, ta hanyar tallafawa bincike na tsinkaya da kayan aikin tallafi na asibiti, don magance matsaloli kafin masu samarwa su fahimci buƙatar ɗaukar mataki.Hankali na wucin gadi na iya ba da gargaɗin farko ga farfaɗiya ko sepsis, wanda yawanci yana buƙatar zurfafa bincike na saitin bayanai masu rikitarwa.
Brandon Westover, MD, darektan bayanan asibiti a Babban Asibitin Massachusetts (MGH), ya ce koyon injin zai iya taimakawa wajen tallafawa ci gaba da ba da kulawa ga marasa lafiya marasa lafiya, kamar waɗanda ke cikin coma bayan kama zuciya.
Ya bayyana cewa a cikin yanayi na al'ada, likitoci sun duba bayanan EEG na waɗannan marasa lafiya.Wannan tsari yana ɗaukar lokaci kuma yana da mahimmanci, kuma sakamakon zai iya bambanta tare da basira da kwarewa na likitoci.
Ya ce "A cikin waɗannan marasa lafiya, yanayin na iya zama a hankali.Wani lokaci idan likitoci suna so su ga ko wani yana murmurewa, suna iya duba bayanan da ake kula da su sau ɗaya kowane sakan 10.Duk da haka, don ganin ko ya canza daga dakika 10 na bayanan da aka tattara a cikin sa'o'i 24 kamar kallon ko gashin ya girma a halin yanzu.Duk da haka, idan aka yi amfani da algorithms na hankali na wucin gadi da kuma bayanai masu yawa daga yawancin marasa lafiya, zai zama sauƙi don daidaita abin da mutane suke gani tare da tsarin dogon lokaci, kuma ana iya samun wasu gyare-gyare na hankali, wanda zai shafi shawarar likitoci a aikin jinya. ."
Yin amfani da fasaha na fasaha na wucin gadi don goyon bayan yanke shawara na asibiti, ƙaddamar da haɗari da faɗakarwa na farko shine ɗaya daga cikin mafi kyawun yankunan ci gaba na wannan hanyar nazarin bayanan juyin juya hali.
Ta hanyar samar da wutar lantarki don sabon ƙarni na kayan aiki da tsarin, likitoci zasu iya fahimtar yanayin rashin lafiya, samar da ayyukan jinya da kyau, da kuma magance matsalolin gaba.Hankali na wucin gadi zai haifar da sabon zamani na inganta ingancin jiyya na asibiti, da kuma yin nasara mai ban sha'awa a cikin kulawar marasa lafiya.
Lokacin aikawa: Agusta-06-2021
