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How Big Data isgoing to Change the Medical World inNear Future?
What comesinyour mindinfirstplace whenyouvisittoa healthcare professional ordoctor?Well,
wheneverwe visitadoctoror go to a hospital,we have faiththathealthcare professionalsare going
to treat usaccording to the certifiedscientificmethodsorevidence-basedmedicine.
It simplymeanstheyare goingtoprescribe drugsor choose treatmentmethodswhichhave been
provensuccessful inmedicalresearch.
The concept of ‘evidence-basedmedicine’ismucholder;however,itdatesbackto 1990s. As earlyas
1940s the controlledtrialswere regularlybeingcarriedoutandclinical knowledgeaswell as
specialtywasalreadybeingcirculatedinmedical textbooksandjournals longbefore that.
Clinical studiesortrialsare all about carryingour researchintoparticulardisease orcondition,and
differenttreatmentmethodsthatmaycure the illnessorease the symptomsaltogether.The
purpose of thisresearchisto findoutwhichtreatmentissuitable forwhichailmentandinwhich
typesof patients.All overthe world,evidence-basedmedicine isthe provenstandardforthe
provisioninthe sectorof healthcare;however,inthe erawhere bigdataHadoopis changing
everything, thisislikelytogetchangedaswell.
Clinical trials inthe age of Hadoop:
Clinical trialsare basedontestingnewtreatmentsinmodularbasis,forexampleinsmall groupsat
first.It focusesonanalysinghowwellthe treatmentworksandtoknow whetherithasany side
effectsornot.
If a trial issuccessful,itisconductedonlargergroupsof people.Typically,the trial will involve
comparingthe newmethodologytoothertreatmentsbydividingpatientsintodifferentgroups,
each goingthrougha differenttreatment.Thisprocessiscalledrandomisation,where patientsare
separatedintovariousgroupsina randommanner.
How big data helpsin Medical Trials?
In orderto protectthe participantsandenhance reliability,clinical trialsneedtogothroughrigorous
scientificstandards.But,itcan’t be saidthat there involvesnoriskof methodological flaws,orthat
the small groupsusedinthose trialsalwaysgeneralise well outsideof aspecificresearch.Thisis
where bigdata comeshandyor comesfor rescue.
By miningthe bulksof practice-basedmedical/clinical data,thatmeansthe records of the patients,
basedon whichpatienthaswhichconditionorwhichtreatmentisprovingtobe successful,medical
professionalscanlearna lotaboutthe rightwayof takingcare of theirpatients.
Let’stake an example of aCalifornia-basedcompany,Apixio,whichhasfirmlysetitssightson
helpinghealthcare professionalstolearnfrompractice-basedevidence toindividuallytailorcare.
Accordingto the firm,we can getmore knowledgefromthe practice of medicineandimprove our
approach to medical care.Thisgetspeople closertoa learninghealthcare system.The firmfocuses
on whatactuallyworksand whatnot bytakingevidencesfromthe real-worlddata.
If we analyse thenwe’llfindthataround80% of medical andclinical datarelatedtopatients is
retrievedfromunstructureddata,forexample fromwrittenconsultantnotes,physiciannotes,
pathologyresults,radiologynotes,discharge fromahospital andsoon.
Thisunstructureddatacan be minedeasilytolearnaboutgivingthe bettertreatment tothe people.
Althoughthere have beenelectronichealthcare recordsaroundinvariousformats,butastheywere
not designedforanalysis,theywereof notmuchuse.Hence,firstone shouldextractdatafrom
varioussourceslike governmentmedical records,hospitals,GPsurgeriesandsoon,thenthis
informationhastobe turnedintosuch a way that computercan analyse iteasily.
Thisdata can be analysedata particularlevel tocreate a patientmodel anditcan be combined
across the populationtoget largerinsightsaroundthe cure,treatmentpatternsandmore.
Hence,withbigdata Hadoop,it’snothard to see a future that combinesbotherevidence-basedand
practice-basedmedical methodologiestoprovide besttreatmentstothe patients.Bigdata
undoubtedlyisgoingtotransformthe whole medical world.It’slikelytohelphealthcare
professionalsprescribe more accurate medicinesandtake care of theirpatientsina betterway.

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How big data is going to change the medical world in near future?

  • 1. How Big Data isgoing to Change the Medical World inNear Future? What comesinyour mindinfirstplace whenyouvisittoa healthcare professional ordoctor?Well, wheneverwe visitadoctoror go to a hospital,we have faiththathealthcare professionalsare going to treat usaccording to the certifiedscientificmethodsorevidence-basedmedicine. It simplymeanstheyare goingtoprescribe drugsor choose treatmentmethodswhichhave been provensuccessful inmedicalresearch. The concept of ‘evidence-basedmedicine’ismucholder;however,itdatesbackto 1990s. As earlyas 1940s the controlledtrialswere regularlybeingcarriedoutandclinical knowledgeaswell as specialtywasalreadybeingcirculatedinmedical textbooksandjournals longbefore that. Clinical studiesortrialsare all about carryingour researchintoparticulardisease orcondition,and differenttreatmentmethodsthatmaycure the illnessorease the symptomsaltogether.The purpose of thisresearchisto findoutwhichtreatmentissuitable forwhichailmentandinwhich typesof patients.All overthe world,evidence-basedmedicine isthe provenstandardforthe provisioninthe sectorof healthcare;however,inthe erawhere bigdataHadoopis changing everything, thisislikelytogetchangedaswell. Clinical trials inthe age of Hadoop: Clinical trialsare basedontestingnewtreatmentsinmodularbasis,forexampleinsmall groupsat first.It focusesonanalysinghowwellthe treatmentworksandtoknow whetherithasany side effectsornot. If a trial issuccessful,itisconductedonlargergroupsof people.Typically,the trial will involve comparingthe newmethodologytoothertreatmentsbydividingpatientsintodifferentgroups, each goingthrougha differenttreatment.Thisprocessiscalledrandomisation,where patientsare separatedintovariousgroupsina randommanner.
  • 2. How big data helpsin Medical Trials? In orderto protectthe participantsandenhance reliability,clinical trialsneedtogothroughrigorous scientificstandards.But,itcan’t be saidthat there involvesnoriskof methodological flaws,orthat the small groupsusedinthose trialsalwaysgeneralise well outsideof aspecificresearch.Thisis where bigdata comeshandyor comesfor rescue. By miningthe bulksof practice-basedmedical/clinical data,thatmeansthe records of the patients, basedon whichpatienthaswhichconditionorwhichtreatmentisprovingtobe successful,medical professionalscanlearna lotaboutthe rightwayof takingcare of theirpatients. Let’stake an example of aCalifornia-basedcompany,Apixio,whichhasfirmlysetitssightson helpinghealthcare professionalstolearnfrompractice-basedevidence toindividuallytailorcare. Accordingto the firm,we can getmore knowledgefromthe practice of medicineandimprove our approach to medical care.Thisgetspeople closertoa learninghealthcare system.The firmfocuses on whatactuallyworksand whatnot bytakingevidencesfromthe real-worlddata. If we analyse thenwe’llfindthataround80% of medical andclinical datarelatedtopatients is retrievedfromunstructureddata,forexample fromwrittenconsultantnotes,physiciannotes, pathologyresults,radiologynotes,discharge fromahospital andsoon. Thisunstructureddatacan be minedeasilytolearnaboutgivingthe bettertreatment tothe people. Althoughthere have beenelectronichealthcare recordsaroundinvariousformats,butastheywere not designedforanalysis,theywereof notmuchuse.Hence,firstone shouldextractdatafrom varioussourceslike governmentmedical records,hospitals,GPsurgeriesandsoon,thenthis informationhastobe turnedintosuch a way that computercan analyse iteasily. Thisdata can be analysedata particularlevel tocreate a patientmodel anditcan be combined across the populationtoget largerinsightsaroundthe cure,treatmentpatternsandmore. Hence,withbigdata Hadoop,it’snothard to see a future that combinesbotherevidence-basedand practice-basedmedical methodologiestoprovide besttreatmentstothe patients.Bigdata undoubtedlyisgoingtotransformthe whole medical world.It’slikelytohelphealthcare professionalsprescribe more accurate medicinesandtake care of theirpatientsina betterway.