Tej yam ntawm cov ntaub ntawv tshuaj thiab kws kev lag luam loj
Txheej txheem cej luam
Nyob hauv ntiaj teb lub hnub no, yog ib tug loj loj ntim ntawm cov ntaub ntawv uas muaj cov tshuaj noj. No muab cov ntaub ntawv yuav muab ntaub yuav tsim paub xim, thiab kev zoo nyob ntawm ib tug tib neeg profiles. Thiab, Tej lub koom haum profile yuav siv tau los muab lawv kho zoo thiab tsim nyog. Nyob rau cov tshooj no, Kuv yuav tham txog seb cov tshuaj no li cas (nws yeej ntaub ntawv loj) Siv tshuaj thiab cov chaw muag tshuaj muab kev lag luam kom zoo dua.
Tam sim no scenario ntawm cov ntaub ntawv tiam?
Tus nqi ntawm tus nqi Ntawv loj generated txhua hnub yog zuj zus ntawm tus nqi exponential tus nqi. Qhov no txhais tau tias hom ntaub ntawv tshiab yog generated rau txhua teb ntawm tib neeg paub, nrog rau cov kws muag tshuaj thiab kev kho mob teb. Txawm li cas los, Ntau lub koom haum no tseem chav kov tag nrho cov ntaub ntawv thiab hloov lawv mus rau hauv cov ntaub ntawv paub tab paub xav. Li ntawd, Nws tseem ceeb heev uas ntau thiab tuam txhab uas muag paub txog cov kev pab cuam loj nyob rau hauv kev kho mob, Kev kho mob thiab cov kws muag tshuaj thiaj li yuav nqa tawm zoo Ntawv loj koom tes thiab muab kev pab ntau dua rau cov masses.
Ntau npe xws li qhov zoo tshaj plaws xyaum, LLC, Hais tias tam sim no siv cov ntaub ntawv loj yog zoj zis rau kev txiav txim loj uas muaj pharmaceutical thiab kev pab kho mob. Ib daim ntawv ntsuam xyuas ua los ntawm qhov zoo tshaj plaws kuj ices tias txhua tus neeg contributed rau cov ntaub ntawv loj tsawg kawg yog ib txoj kev. Hais txog 53% Cov neeg koom ntawm daim ntawv ntsuam xyuas muaj ib tug paub txog cov ntaub ntawv loj zaum twb, thiab txog 20% Yuav tsum ntiav ib xyoos.
Cov ntaub ntawv tshuaj yog ua cov ntaub ntawv loj loj?
Cov advent ntawm cov cuab yeej tshiab rau cov ntaub ntawv loj tiam tau ua rau lub moj tej tawg ntawm cov ntaub ntawv tshiab tau generated txhua ob. Qhov no yog tshwj xeeb tshaj yog vim cov organisations loj tsim loj loj ntawm kev tshawb fawb cov ntaub ntawv. Cov ntaub ntawv no los nyob rau ntau hom thiab hom ntawv.
Nyob rau hauv daim teb ntawm kev kho mob thiab cov kws muag tshuaj, Cov ntaub ntawv no yog tsim los ntawm ntau hom kev pab. Yog hais tias cov ntaub ntawv yog siv los kho kom haum, Ces ib tug nqi nyiaj loj yuav tau nyiaj thiab cov tshuaj tshiab yuav tsim ib yam nkaus thiab. Lub koom haum McKinsey ntiaj teb no lub koom haum tau ua ib txoj kev tshawb no uas kwv yees hais tias yog Cov ntaub ntawv loj tswv yim siv, Lawv yuav nyiaj rau cov nyiaj tau los mus txog $100 txhua txhua xyoo. Cov ntaub ntawv muab los ntawm cov kws muag tshuaj industries, i.e. cov ntaub ntawv kho mob, yog qhov huger hnub-los-hnub, Uas yuav tsum tau siv rau kev txiav txim zoo thiab kho mob.
Cov chaw uas muaj cov tshuaj noj?
Nyob rau hauv daim teb ntawm cov tshuaj thiab cov kws muag tshuaj, Cov ntaub ntawv loj los ntawm ntau hom kev pab. Qhov chaw ntawm hom ntaub ntawv no muaj xws li cov txheej txheem ntawm R&D, cov neeg mob, the patient themselves and from the retailers of the drug. Some other sources include data from the disease outbreaks occurring, data from the previous clinical trials were done, records of the census, treatment and therapy patterns, disease patterns, hospital and clinical records etc.
With such diverse amount of data coming in from different sources, it is necessary for the data collection and processing system to be accurate and quick enough to make sense of such humongous data. This data must be processed in as close as possible to real time, as this will ensure quick responses and faster decisions for the pharmaceutical firms.
Txawm li cas los, a major hurdle is that about 80% of the total Big Data collected from these sources arrives in the form of unstructured data. These data sources include pathology reports, tej ntawv ceeb toom, tus neeg pab tswv yim, kws kho mob thiab tsev kho mob cov ntaub ntawv. Li ntawd, Cov no kuj yuav tsum tau txheej txheem sai li sai tau.
Peb yuav cia siab tias peb cia siab tias los ntawm cov ntaub ntawv tshuaj?
Raws li cov ntaub ntawv loj muaj cov ntaub ntawv sau los ntawm cov masses, Nws yuav ua tau kom tau ntau yam kev pom zoo. Cov insights no muaj xws li cov ntaub ntawv hais txog ib tug kab mob uas kis tau, Cov ntaub ntawv hais txog seb nws yog tau kov tam sim no thiab cov ntaub ntawv rau ib yam teeb meem muag los ntawm cov masses, Piv txwv, kev rog.
Tseem, Cov ntaub ntawv yuav tau sau txog ib tug neeg los yog ib pawg neeg txojkev zoo ib yam li ailments kom tau kev pom rau lawv tus mob raws li historic cov ntaub ntawv thiab ces muab lawv nrog personalized kev pab kho mob rau kev kho mob zoo thiab pharmaceutics.
Li cas cov ntaub ntawv no yuav tsim tau zoo profile?
Cov ntaub ntawv loj ntawm cov ntaub ntawv generated los ntawm qhov txawv kev kho mob, Yog hais tias siv tau, Yeej redefine lub creation ntawm tus neeg mob profiles. Ib ceg ntawm cov ntaub ntawv loj hu ua Predictive Analysis pab tau li no. Predictive Analytics combines cov kev kawm tshuab tshuab nrog cov ntaub ntawv kho mob hais txog ib tug neeg mob, Ua ib tug neeg mob profile uas yuav siv tau los twv seb ua kom muaj cov tsos mob ntawm tus neeg mob thiab kho lawv yooj yim raws li cov ntaub ntawv historic.
Qhov no, Cov khw muag khoom noj loj yog thoroughly scanned rau cov ntaub ntawv kho mob hais txog ib tug neeg mob los yog tus tseem populace. Ib txhia ntaub ntawv ntxiv yog sau los ntawm cov databases rau enhancing qhov zoo ntawm tus neeg mob profile. Nrog siv predictive Analysis, Tag nrho cov ntaub ntawv sau tau tag nrho cov ntaub ntawv ib database uas yuav muaj tag nrho cov ntaub ntawv uas yuav tsum tau tsim ib tug neeg mob profile. Tam sim no, No profile yuav siv tau los pab cov neeg mob txog lawv ailments yooj yim. Yog li, Tus neeg mob profile creation lawv yog qhov ntau thiab yog nrog kev pab los ntawm cov ntaub ntawv loj Predictive Analysis thiab tshuab kawm txheej txheem.
Cov cawv nyob rau hauv cov tshuaj thiab cov chaw muag tshuaj?
Cov ntaub ntawv loj loj yog muaj ib feem loj loj nyob rau hauv daim teb tshuaj thiab cov kev lag luam pharmaceutical. Nws yog pab cov kev lag luam medicinal hauv tackling kom ntau lub ntiaj teb no teeb meem tiag. Cov teeb meem no muaj xws li tsom xam cov qauv ntawm cov kab mob txawv teb chaws, uas yuav tsum tau muaj tej yam tshuaj thaum muaj xwm ceev yuav npaj ua ntej rau tus kab mob no.
Tseem, Cov ntaub ntawv loj yog influencing teb ntawm cov tshuaj discovery. Cov tsom xam cov ntaub ntawv loj los ntawm cov chaw muab kev pab xws li phau ntawv journals thiab tej ntaub ntawv pab ib lub tuam txhab pharmaceutical tuam txhab los phiaj lub specific ailments los yog nrhiav chaw siv lawv cov tshuaj tshiab khiv ua tshuaj. Qhov chaw ua hauj lwm no yog ua nyob rau hauv ib tug nqi zoo heev ib yam nkaus thiab. Nws kuj pab nyob rau hauv txoj kev tswj ntawm lub tsev hais plaub raug tau, Li ntawd, cov teebmeem ntawm cov tshuaj tshiab yog qhia.
Qee yam uas xyaum siv
Ntau cov kws kho mob thiab cov kws muag tshuaj npe yog tam sim no siv cov ntaub ntawv loj rau ntau yam siv. Ib lub tuam txhab zoo li no yog lub Explorys, Uas muaj ib tug loj kho mob database raws li nws sau thiab txheej txheem ntawm cov ntaub ntawv loj. No database pab lwm bio-zaum kom paub ntxiv txog ib ailment thiab nrhiav paub cov tshuaj zoo tshaj rau countering nws cov teebmeem.
Tseem, Ib ruaj hu ua Propeller Health siv cov ntaub ntawv loj rau kev tswj asthma. Qhov ruaj siv cov ntaub ntawv los ntawm ntau qhov chaw xws li sensors hauv asthma inhalers thiab smartphone apps los ntes tus neeg mob tus mob thiab tiv thaiv tus mob asthma nres raws li cov ntaub ntawv qauv.
Piv txwv li yog tias TomBio, Uas siv cov ntaub ntawv loj tau los ntawm tib neeg genome pab cov kws kho mob hauv Self customized tov rau cov neeg mob.
Txoj kev
Nws yuav tsum uas nyob rau yav tom ntej, Cov ntaub ntawv loj yuav tau tag nrho nrog cov kev lag luam pharmaceutical kev lag luam rau ib tug txawm ntau dua li nws yog hnub no. Nrog cov ntaub ntawv loj tsuas thiab txheej txheem txheej txheem, Nws yuav siv tau ntau kim heev thiab cov kev lag luam pharmaceutical yuav tau muab cov tshuaj zoo rau cov masses.
