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SaMD or Software as a Medical Device can be described as a software constructed to be used in medical devices. These softwares can be run on different operating systems and virtual platforms.<br>1.tThe basic programming model of a SaMD is given below.<br>2.tDifferent softwares are used for medical purposes, and they include the following:<br><br>To continue Reading : https://bit.ly/31ItRVc<br>Contact Us:<br>Website : https://bit.ly/2BvO06b<br>Email us: sales.cro@pepgra.com<br>Whatsapp: 91 9884350006<br>
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CHALLENGESAND OPPORTUNITIESIN SOFTWAREDRIVEN MEDICALSCIENCES AnAcademicpresentationby Dr.NancyAgens,Head,TechnicalOperations,PepgraGroup:www.pepgra.com Email:sales.cro@pepgra.com
Today'sDiscussion OUTLINEOFTOPICS Introduction ChallengesofMedicalDevice Software DifferentSoftwaresusedforMedical Purposes PremarketNotification InternationalMedicalDeviceRegulator’sForum OpportunitiesAssociatedwithSoftwareDrivenMedicalSciences
Introduction SaMDorSoftwareasaMedicalDevicecanbedescribedasasoftwareconstructedtobeusedinmedicaldevices. ExamplesofSaMDinclude: Standalonesoftwaresrunningongeneralcomputers,smartphonesandtablets.SaMDthatcandetectinterruptedbreathingduringsleepbyusingamicrophoneofasmartdevice. SaMDthatcananalyzetheheartbeatrate. AsoftwarecanbehaveasSaMDwhenitisrunonamedicalhardwaredevice,butdoesnotserveanyintendedpurposeforthehardware.
ChallengesofMedicalDeviceSoftware Softwares,whenusedasmedicaldeviceshaveseveralchallenges,themajoronesbeingclinicalevaluation,scientificvalidityandclinicalvalidation. ClinicalevaluationofSaMDisdescribedasasetofongoingactivitieswhichareconductedtoassessandanalyzetheSaMD'ssafety,performanceandeffectiveness. Scientificvalidity/ValidClinicalAssociationofSaMDreferstotheextentofclinicalacceptanceoftheSaMD'soutputintermsofconcept,conclusionandmeasurements. Clinicalvalidationcanbedescribedastherelationshipbetweenverificationandvalidationresultsofthealgorithmusedandtheclincialconditioninquestion. Contd..
Figure1:SaMDBasic ProgrammingModel
DifferentSoftwaresusedforMedicalPurposes1.ADVANCEDANALYTICS Describedasadevicewhichcanusebigandlargecomplexdatasetsfromavariety ofsourcesbyidentifyingandanalyzingthedata,andusesthisdataformedicaldevices.2.ARTIFICIALINTELLIGENCE ArtificialIntelligencedescribedasadevicewhichmimicshumanlearningandreasoning.3.CLOUD Describedasadevicewhichhasaninternetbasedcomputingsystem,whcihprovideswithcomputerprocessingresourcesanddata. Contd..
Severalresourcessuchasservers,computernetworksandstoragedevicescansharethepoolofdatafromthecloudsystem.Severalresourcessuchasservers,computernetworksandstoragedevicescansharethepoolofdatafromthecloudsystem. 4.CYBERSECURITY Describedasadevicewhichpreventsunauthorizedaccess,misuse,modification,ordenialofuseofanyinformationthatcanbetransferredtoanexternalrecipientfromamedicaldevice. 5.INTEROPERABILITY Adevicethatexchangesandusesinformationwithanothermedical/non-medicalproductviaanelectronicinterface. 6.MEDICALDEVICEDATASYSTEM(MDDS) Asoftwareusedtotransferandstoredata,convertformatsofdataanddisplaydataofthemedicaldevicewithouttheconnectionofanyothermedicaldevice.
PremarketNotification Premarketnotificationisakeyelementfortheregulationofmedicaldevices. Todefinesafetyandeffectivenessofalltypesofmedicaldevices,thefactorstakenintoconsiderationare: Patientpopulationinquestion Labellingandadvertisingofthewaystouseamedicaldevise BalancebetweenbenefitsandriskstohealthwhenusingamedicaldeviceReliabilityofthemedicaldevice
InternationalMedicalDeviceRegulator’sForum TheInternationalMedicalDeviceRegulator’sForum(IMDRF)seekstodemonstratesafety,effectivenessandperformanceofSaMD. Itsuggeststhatasoftwareusedinmedicalsciencesisuniquewithrespecttoitsconnectivity. Themanufacturersofsoftwaresrelatedtomedicaldevicesareencouragedtousethisfeatureofuniquenesstomodifythesoftwarestosuitthereal-worldperformances. Itisimportanttoensuresafetyinthenewtechnologiesusedformedicaldevices,andthewayitisdoneisillustratedbelow: Contd..
Figure2:GoodQuality SystemsEnsureSafety ofPatients
OpportunitiesAssociatedwithSoftware DrivenMedicalSciences Techniquesofadvancedanalyticscanbeusedtoanalyzedatasetswhichnormallycannotbeanalyzedbyhumans. Advancedanalyticscandiscovernewpatternsindata. AIusedinasmartECGdevicecanestimatetheprobableoccurrenceofacutecardiacischemia(ACI) Cardiovascularimagesacquiredfrommagneticresonancescannerscanbeanalyzedbyasoftwarethroughacloud-basedpicturearchivingandcommunicationsystem. Dataofpatientsfromapulseoximetercanbeusedbyadesignedinfusionpumptochangethesettingsofanotherinfusionpumpasperrequirement. Contd..
Figure3a:ScienceCycle Contd..
Figure3b: RegulatoryCycle
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