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Healthcare Digital Transformation Attila Ferik Director, Software - PowerPoint PPT Presentation

Healthcare Digital Transformation Attila Ferik Director, Software Platform Engineering GE Healthcare VKSZ_12-1-2013-0012 Funded by Analytic Healthcare Quality User Information grant What happened when 1B people became connected? [ ] ] [


  1. Healthcare Digital Transformation Attila Ferik Director, Software Platform Engineering GE Healthcare VKSZ_12-1-2013-0012 Funded by Analytic Healthcare Quality User Information grant

  2. What happened when 1B people became connected? [ ] ] [ Communications Social marketing mobilized emerged Consumer ] [ [ ] Internet Retail & ad IT architecture transformed virtualized ] [ Entertainment is digitized

  3. What happens when 50B machines become connected?

  4. Digital industrial revolution is happening

  5. A convergence of enabling technologies is setting the stage for industry transformation 2 1 3 4 Internet Intelligent Big Data Analytics of Things Machines “Hospital of Things” plethora of Machines protecting and High volume of data from Forecasting and predicting devices treating patients physiology monitoring future health Accelerating Bio-sensor Devices for new care givers and Care shift from End of fee-for-service market/use settings population median to high-def models drives data collect and individual analysis Mobile healthcare explosion – Algorithms as $27B by 2017 1 updatable content 1 $27B by 2017 for Mobile health services: The market for mHealth services has now entered the commercialization phase and will reach $26 billion globally by 2017 accordi ng to new “ Global Mobile Health Market Report 2013- 2017” by research2guidance. The report is one of the leading publications in the mHealth market. Companies that have purchased previous editions of the report includes: Agfa Healthcare, DTAG, Fresenius, Fujitso, GE Healthcare, LG, Nokia, Novartis, Pfizer, Qualcomm, Roche, Roland Berger, Sanofi Aventis and many more.

  6. Forces Shaping Healthcare Delivery Healthca care delivery ch challenges from seismic c shifts in t the post-reform era 1. Rising 1. 2. Growth and 2. 3. 3. Expanding 4. 4. Managing 5. Improving 5. Consumerism Profitability Care Risks Outco comes Meet competitive and Address unprecedented Expand access to care with Assuming greater financial Value based reimbursement regulatory demands to productivity and growth a shrinking labor force and accountability for medical replacing fee-for- service measure and improve imperatives, while resource constraints risk model patient experience improving profitability Americans waiting in ER Medicare/Medicaid 75% total US health care Preventable adverse drug One-third of US health care more hours than underpayments to spend towards the treatment events in the US every expenditures did not improve necessary hospitals in 2013 of chronic diseases year health outcomes 1.1M 75% 75% 1.5M $51B $51B $700B $700B PATIENTS TOTAL PER YEAR PER YEAR SPEND American College of Emergency Physicians American Hospital Association Center for Medicare & Medicaid Services Institute of Medicine Office of the Congressional Budget

  7. Challenges of Healthcare Patient records not easily Increasing cost and burden of Lack of systems’ interoperability available when needed managing data growth resulting in workflow inefficiencies 153 153 35% 2,314 exabytes exabytes $30B $30B of health data of patient cases a year 3 misdiagnosed, contributed by 2013 2020 2 lack of Interoperability of systems collaboration and 50x could save healthcare access 1 ecosystems Healthcare data growth by 2020 1 “Types and Origins of Diagnostic Errors in Primary Care Settings,” Journal of American Medicine, 2013 2 http://www.cio.com/article/2375691/healthcare/healthcare-why-health-data-is-a-big-data-challenge.html 3 http://www.westhealth.org/sites/default/files/The-Value-of-Medical-Device-Interoperability.pdf

  8. The Digital Industrial Platform

  9. Rise of Analytics Higher order insights and new technology  Predictive and Level 5 5 learning based Technologies Development Algorithm  Actionable Level 4 4 integrations Business Value  Ad-hoc query and Level 3 3 configurability Processing Data  Trending and simple Level 2 2 forecasting  Export for specialized Level 1 1 Persistence processing Data  Retrospective Level 0 0 reports Capability - Analytic Features Low High • Single scope • X/Enterprise scope • Single domain/system • Cross-cutting domains • Single data source • Multi sourced

  10. Digital Twins

  11. The Digital Industrial Platform

  12. Leveraging cloud elastic processing for ubiquitous access to reconstruction and latest clinical insights algorithms Could enable 15,000 GE Healthcare MRI units with risk quantification for Alzheimer’s, Dementia, Multiple sclerosis, Trauma and Epilepsy. From 5 million today to Could enable 2,500 GE PET units with risk quantification for 13.8 M Alzheimer’s and other Dementia, with FDG and Flutemetamol Alzheimer’s patients in Could enable 30,000 GE CT units the US by with on-demand model based 2050 1 reconstruction for lower dose on pediatric patients 1 Alz. Org , 2015 ALZHEIMER'S DISEASE FACTS AND FIGURES, http://www.alz.org/facts Any descriptions of future functionality reflect current product direction, are for informational purposes only and do not constitute a commitment to provide specific functionality. Timing and availability are subject to change and applicable regulatory approvals./

  13. Take away messages • Digital transformation is happening in every industry • Cloud based storage, access and analysis provides potential benefits for healthcare • Open ecosystem fuels collaboration

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