I-Biomedical Informatics Theorem

Incazelo eqondwe ngokweqile ye-informatics biomedical (BMI) yayingekho isikhathi eside. Ukuletha ukugxila kule nsimu yesayensi, uCharles Friedman, Ph.D., uhlongoze i-theorem eyisisekelo ye-informatics biomedical. Ithi "umuntu osebenza ngokubambisana nomthombo wolwazi 'kungcono' kunokuba lowo muntu ofanayo angaqiniseki." I-theorem kaFriedman empeleni ayiyona into ehlelekile yemathematika (esekelwe ekudonsheni futhi yamukelwa njengeqiniso), kodwa kunalokho i-distillation okuyinhloko ye-BMI.

I-theorem itholakala ukuthi izifundiswa zezokwelapha zikhathazeka ngokuthi ulwazi lwazi lwazi (noma alukwazi) lusiza abantu. Lapho ekhuluma 'nomuntu' enkulumweni yakhe, uFriedman ukhombisa ukuthi lokhu kungaba ngumuntu ( isiguli , udokotela, isosayensi, umqondisi ), iqembu labantu noma ngisho nenhlangano.

Ngaphezu kwalokho, i-theorem ehlongozwayo ine-corollaries emithathu eyasiza ukuchaza i-informatics kangcono:

1. I-Informatics iningi ngabantu mayelana nobuchwepheshe. Lokhu kusho ukuthi izinsiza kumele zakhiwe ngenzuzo yabantu.
2. Imithombo yolwazi kufanele ifake okuthile umuntu angazi kakade. Lokhu kusikisela ukuthi insiza idinga ukuba kokubili ilungile futhi ifundise.
3. Ukusebenzisana phakathi komuntu nomthombo kunquma ukuthi i-theorem iyabamba yini. Leli corollary liyaqaphela ukuthi lokho esikuziyo ngomuntu oyedwa noma umthombo wedwa akukwazi ukubikezela ngokuqondile umphumela.

Umnikelo kaFriedman uye waqaphela njengoba kuchaza i-BMI ngendlela elula futhi elula ukuyiqonda. Kodwa-ke, abanye abalobi baye batusa ama-viewpoints okunye kanye nezengezo ku-theorem yakhe. Ngokwesibonelo, uProfesa Stuart Hunter wasePrinceton University wagcizelela indima yendlela yesayensi lapho esebenzelana nedatha .

Iqembu labososayensi abavela eYunivesithi yaseTexas libuye likhuthaze ukuthi incazelo ye-BMI kufanele ihlanganise nomqondo wokuthi ulwazi oluse-informatics 'lwedatha kanye nencazelo'. Ezinye izikhungo zezemfundo zanikeza izincazelo ezicacile eziqaphela uhlobo oluthile lwezifundo ze-BMI futhi zigxile emininingwaneni, ulwazi, nolwazi kumongo we-biomedicine.

Okushiwo yi-Theorem eyinhloko kaFriedman

Kuwusizo ukucabangela izinkulumo ze-theorem ngokwemibandela yabantu noma izinhlangano ezingasebenzisa izinsiza zolwazi. Kungakhathaliseki ukuthi i-theorem iqinisile esimweni esinikeziwe ingahlolwa ngokuhlola ngokuhlola okungahleliwe okulawulwayo kanye nezinye izifundo.

Ngezansi kunezinye izibonelo zendlela u-Friedman's theorem ongasetshenziswa ngayo esimweni sokunakekelwa kwezempilo kwamanje kusukela kumbono wabasebenzisi abahlukile.

Abasebenzisi abagulayo

• Isiguli esisebenzisa uhlelo lokusebenza lokukhumbuza imithi sizobe sithinteka kakhulu kumuthi wakhe wemithi kunesiguli esifanayo esingasebenzisi uhlelo lokusebenza.
• Isiguli esilinga ukwehlisa isisindo esilandela ukudla nokuzivocavoca kuhlelo lokusebenza lwe-smartphone sizolahlekelwa isisindo esingaphezu kwesiguli esifanayo ngaphandle kohlelo lokusebenza.
• Isiguli esisebenzisa i-portal yesiguli ukuxhumana nodokotela wakhe siyozizwa sikhathalele kakhulu kunesiguli esifanayo ngaphandle kwesikhala.

• Isiguli esisebenzisa i-portal yesiguli ukubuka imiphumela yokuhlola sizoveza ukwaneliseka okwedlulele nokunakekelwa kwakhe kunesiguli esifanayo ngaphandle kwe-portal.
• Isiguli esibamba iqhaza kwi-intanethi ye- arthritis ye- rheumatoid izobhekana ngokuphumelelayo nesifo sayo kunesiguli esifanayo ngaphandle kwesithangami.

Abasebenzisa iMitholampilo

• Udokotela wezingane esebenzisa irekhodi lempilo ye-elekthronikhi (EHR) ngokukhunjulwa kokugoma kuyoba amathuba okugoma isikhathi esingaphansi kwesinye udokotela ngaphandle kwezikhumbuzi.
• Umhlinzeki wezokwelapha eziphuthumayo onokuthola ulwazi lokushintshiselana ngolwazi lwezempilo lendawo (HIE) uzohlehlisa ukuhlolwa okunciphile okumbalwa kunomhlinzeki ofanayo ngaphandle kwe-HIE.

• Umhlengikazi osebenzisa uhlelo olungenazintambo ukuhambisa izimpawu ezibalulekile ngokuqondile e-EHR uyokwenza amaphutha ambalwa emibhalo kunomhlengikazi ofanayo ngaphandle kwesistimu engenantambo.
• Umphathi wezinkinga esebenzisa ukubhaliswa kwesiguli kuzobona iziguli eziningi ezinegazi eliphakeme elingalawuleki kunomphathi ofanayo wekhompyutha ngaphandle kokubhalisa.
• Ithimba lokuhlinza usebenzisa uhlu lokuhlola luyoba nezifo ezincane zokuhlinzeka ngezindawo kuneqembu elilodwa lokuhlinza ngaphandle kohlu lokuhlola. ( Qaphela ukuthi uhlu lokuhlola luyisibonelo sensiza yolwazi engadingeki ukuba ibe ikhompyutha.)
• Udokotela osebenzisa ithuluzi lokusekela izinqumo zokwelapha (CDS) lwe-antibiotic dosing cishe amathuba okubeka umthamo ofanele wama-antibiotic kunodokotela ofanayo ngaphandle kwe-CDS ithuluzi.

Abasebenzisi Bezempilo

• Isibhedlela esinesisindo esibucayi se-thrombosis (DVT) esiyinkimbinkimbi ye-computer e-EHR sizoba ne-DVTs embalwa kunesibhedlela esifanayo ngaphandle kohlelo.
• Isibhedlela esinomakhalekhukhwini wesicelo sokungena odokotela (CPOE) sakwa-computer sizoba nemiyalo encane yefoni kunesikhungo esifanayo ngaphandle kwe-CPOE yeselula.
• Isibhedlela esisisebenzisa i-HIE ukuthumela izifinyezo zokukhishwa kwabahlinzeki bokunakekelwa okuyisisekelo kuzoba nokubhala okuncane kunesibhedlela esifanayo ngaphandle kwe-HIE.
• Ikhaya elikhulisayo lisebenzisa ubuchwepheshe bezinzwa liyoba nesilinganiso esingaphansi segciwane eliwela phansi kunekhaya elilinganayo labahlengikazi ngaphandle kwezinzwa.
• Umtholampilo wezempilo womfundi othumela izikhumbuzi zomlayezo wombhalo uzothola amazinga aphezulu okugoma i-papillomavirus yabantu (i-HPV) kunomtholampilo ngaphandle kohlelo lokuthumela imiyalezo.
• Imitholampilo yezempilo yasemaphandleni esebenzisa i-telemedicine ukuze uthole ukubonisana okubonakalayo nongcweti izothumela iziguli ezimbalwa ekamelweni lokuphuthumayo, uma kuqhathaniswa nomtholampilo ofanayo ngaphandle kwe-telemedicine.
• Umkhuba wezokwelapha ngedeshibhodi yokuthuthukisa ikhwalithi izokhomba izikhala ekuhlinzekeni kokunakekelwa kwezempilo ngokushesha kunomkhuba ofanayo ngaphandle kwedashboard.

I-Latest kwi-Informatics Biomedical

Ngezinye izikhathi izinkinga eziyinkimbinkimbi zezinhlelo ze-informatics ze-biomedical ezingaba nzima ukuzithatha. Le nsimu ihlanganisa ucwaningo olubanzi, kusukela ekuhloleni kwezinhlangano kuya ekuhlaziyweni kwedatha yamathebula (isib. Ucwaningo lomdlavuza). Kungasetshenziselwa ukuthuthukisa amamodeli okubikezela emitholampilo, asekelwa amarekhodi ezempilo e-electronic (EHR). Izazi ezimbili ezivela eNyuvesi yasePittsburgh, uGregory Cooper noShyam Visweswaran, okwamanje zisebenza ekwakheni amamodeli okubikezela emitholampilo kusuka kusetshenziswa i-intelligence yokufakelwa (AI), ukufundwa komshini (ML) kanye ne-Bayesian modeling. Umsebenzi wabo ungafaka isandla ekwakhiweni kwamamodeli ahambisana neziguli. Amamodeli manje abaluleke kakhulu emithi yesimanje.

> Imithombo:

> Bernstam E, Smith J, Johnson T. Kuyini i-informatics biomedical ?. J Biomed Yazisa . 2010; 43: 104-110.

> Friedman CP. I "Theorem enkulu" ye-Informatics Biomedical . J Am Med Yazise Assoc. 2009; 16: 169-170.

> Hunter J. Ukwandisa i- "Fryman's Fundamental Theorem ye-Informatics Biomedical" . J Am Med Yazise Assoc . 2010; 17 (1): 112.

> I-Visweswaran S, Cooper G. Amamodeli Wokumemezela Okumangalelwa Kwamanje Okufunda. J Mach Learn Res . 2010; 11: 3333-3369.