医疗保健中的数字双胞胎：解锁个性化医疗和诊断的未来

Table of contentsIntroductionFrom concept to care: How digital twins work in healthcareReal-world applications, market drivers, and industry momentumChallenges and considerationsThe road ahead: Future outlook and strategic recommendationsFinal words: How IQVIA MedTech can supportReferencesAbout the author 12344578 Niederer et al.pioneered mechanicalmodels to predict CRT,highlighting thepotential of digitaltwins in cardiology.CRT mechanicalmodel2011IntroductionOnce a futuristic concept born in aerospace andautomotive industries, digital twins are now reshapinghealthcare. These real-time virtual replicas of organs,patients, or entire hospital systems continuously syncwith real-world data from sources like electronic healthrecords, wearable devices, and imaging.1In doingso, they enable highly personalized treatment, fasterinnovation, and smarter operations.Source: IQVIA MedTech Research and AnalysisThe development of digital twins in healthcare has been marked by several pivotal milestones Philips launched theHeartNavigator, thatintegrates CT imagingto provide real-time,3D insights for cardiacsurgery planning.Real-time CTThe introduction ofHeartFlow Analysis byCone Health combinedCT, AI, and compu-tational physiologyto revolutionizenon-invasive cardiacdiagnostics.AI in cardiacdiagnostics20172018 iqviamedtech.com | 1FEops advancedpatient-specific cardiaccare by transformingtraditional cardiacimaging intodata-driven digitaltwin models.Data-drivendigital twinmodelsTakeda Pharmaceuticalsadopted digital twintechnology to optimizedrug developmentprocesses, significantlyreducing researchtimelines and costs.Digital twins inpharmaceuticals20202022Their evolution in healthcare has been marked bypivotal moments: from the 2011 study by Niedereret al. demonstrating mechanical modeling for predictingCRT outcome,2to the 2017 introduction of HeartFlowAnalysis—a breakthrough in non-invasive cardiacdiagnostics using CT and AI.3These milestones pavedthe way for tools like Philips’ HeartNavigator in 20184and Takeda’s integration of patient-specific simulationsinto drug development in 2020.5 2 | Digital Twins in Healthcare: Unlocking the Future of Personalized Medicine and DiagnosticsData reflecting biologicalsystem behavior informsclinical decision-supportsystems, aiding healthcareprofessionals in makinginformed decisions.Digital twin behave similarlyDATADATA UPDATES2Data storageThese models are then used to test treatment optionsvirtually, predict disease progression, and supportclinicians in delivering personalized care.For example, in cardiovascular care, a digital twin ofa patient’s heart can simulate how different stentswould behave pre-surgery.7These models evolvecontinuously, updating with new data to remainrelevant over time. They’re not just digital blueprints—they’re active tools for clinical insight. Simulation software basedon established numericaltechniques, predicts theoutputs from given inputscreating the “digital twin”Data collection from imagingscanners, laboratory tests,wearable monitoring devices,and electronic health recordsDATA1SmartwatchWellnessappRemoteECGFrom concept to care:How digital twins workin healthcareDigital twins operate by integrating real-time datawith advanced simulation technologies to mirror thebehavior of biological systems. They collect structureddata from CT scans, lab results, wearable devices, andEHRs to simulate organs or physiological functions.Source: npj- The health digital twin to tackle cardiovascular diseaseHow does a digital twin work? to the real twin6,7 iqviamedtech.com | 3Healthcare systems, supported by partners like GEHealthcare, are using digital twins to manage workflows,streamline staffing, and reduce emergency roombottlenecks.9Pharmaceutical giants like Takeda areadopting the technology to accelerate drug developmenttimelines by simulating human responses before asingle clinical trial participant is enrolled.5This uptake is being driven by several converging forces:demand for personalized care,10breakthroughs in AIand IoT,11and rising pressure to reduce costs whileimproving outcomes.11Regulatory openness—especiallyin Europe and Asia—is also creating a supportiveenvironment for clinical-grade digital twin solutions.11Personalized medicineDigital twins of patientsDigital twinsin healthcareDevice designDigital twins of medical devicesBiomarkersand drugdevelopmentDigital twinsof drugsBio-manufacturingDigital twins ofbiopharmaceuticalprocessesClinical trialsIn-silico clinical trials Real-world applications,market drivers, and industrymomentumAcross the globe, hospitals, MedTech innovators, and lifesciences firms are already putting digital twin technologyto work. HeartFlow’s AI-powered heart simulationshelp cardiologists plan interventions more precisely.3Philips’ HeartNavigator gives surgeons a virtual look ata patient’s anatomy before they even make an incision.FEops’ HEARTguide enables physicians to simulate andoptimize transcatheter valve implantations, cutting