By: Pierre-Carl Michaud, Industrial Alliance Research Chair on the Economics of Demographic Change
At Sherbrooke International Life Sciences Summit - 2nd edition | September 28/29/30 2015
www.sils-sherbrooke.com
The document discusses the need for integrated healthcare to address rising costs and the challenges posed by aging populations and chronic diseases. It notes that global healthcare spending is increasing at over 8% annually, driven largely by increased spending on drugs, hospitals, physicians, and longer lifespans. Integrated care approaches that coordinate across providers and care settings can help improve outcomes and reduce inefficiency. The document outlines different models of integrated care and trends in global healthcare systems moving towards integration. It argues that new data sources, analytics and technologies like IBM's Watson platform can provide insights to help transform healthcare delivery through more proactive, personalized and collaborative approaches.
The document discusses the OECD Recommendation on Health Data Governance. It notes that better policy frameworks are needed to make more effective use of health data. The recommendation was developed over two years with input from governments, civil society, and industry. It aims to establish national health data governance frameworks, promote privacy and data security, and enable cross-country research and statistics. The recommendation includes provisions around transparency, consent, oversight, and monitoring progress on implementation.
Presentation on Predictive modeling in Health-care at San Jose, Ca 2015. This presentation talks about healthcare industry in US, provides stats and forecasts. It then discusses a few use cases in health care and goes into detail on a kaggle example.
This document discusses electronic tools available for nurses and how they can improve healthcare. It lists several mobile applications and online resources that nurses can use, such as Nursing Central and Epocrates. These tools allow nurses to search for disease information, access related nursing diagnoses and skills, and facilitate improved communication and decision-making. Prior research studies have found that nursing informatics tools can support nursing practice and knowledge development, and may potentially reduce healthcare costs.
The document discusses the need for personalized health solutions to address rising healthcare costs due to an aging global population with increasing rates of chronic diseases. It argues that personalized health, which uses precise tools and technologies to measure an individual's unique characteristics, can enhance health outcomes. The document outlines several areas of focus for personalized health innovations including clinical medicine, diagnostics, drug development, and condition-specific nutritional needs.
A selection of key indicators from "Health at a Glance 2019: OECD Indicators", released on November 7, 2019. More info at http://www.oecd.org/health/health-at-a-glance.htm.
Mobile Health at Ochsner: The Apple HealthKit and Epic EMR IntegrationRahlyn Gossen
The document discusses innovation in health care delivery at Ochsner Health System. It describes how Ochsner Center for Innovation was created in 2013 to develop new care delivery models using the newest technologies. It provides examples of innovations like integrating Ochsner's electronic health record with Apple HealthKit to allow seamless sharing of patient data between patients and physicians. The document advocates for an innovative model of care delivery that utilizes technology to remotely monitor and manage large patient populations with chronic conditions in a more efficient way.
PwC is a global professional services firm that provides audit, tax, and consulting services. It has established a Personalized Medicine practice to help clients address key healthcare trends and advance personalized healthcare. PwC has worked on various personalized medicine initiatives including establishing research institutes and facilitating strategic partnerships between organizations. Information technology and diagnostics will be important foundations supporting the development of personalized medicine.
The document discusses the need for integrated healthcare to address rising costs and the challenges posed by aging populations and chronic diseases. It notes that global healthcare spending is increasing at over 8% annually, driven largely by increased spending on drugs, hospitals, physicians, and longer lifespans. Integrated care approaches that coordinate across providers and care settings can help improve outcomes and reduce inefficiency. The document outlines different models of integrated care and trends in global healthcare systems moving towards integration. It argues that new data sources, analytics and technologies like IBM's Watson platform can provide insights to help transform healthcare delivery through more proactive, personalized and collaborative approaches.
The document discusses the OECD Recommendation on Health Data Governance. It notes that better policy frameworks are needed to make more effective use of health data. The recommendation was developed over two years with input from governments, civil society, and industry. It aims to establish national health data governance frameworks, promote privacy and data security, and enable cross-country research and statistics. The recommendation includes provisions around transparency, consent, oversight, and monitoring progress on implementation.
Presentation on Predictive modeling in Health-care at San Jose, Ca 2015. This presentation talks about healthcare industry in US, provides stats and forecasts. It then discusses a few use cases in health care and goes into detail on a kaggle example.
This document discusses electronic tools available for nurses and how they can improve healthcare. It lists several mobile applications and online resources that nurses can use, such as Nursing Central and Epocrates. These tools allow nurses to search for disease information, access related nursing diagnoses and skills, and facilitate improved communication and decision-making. Prior research studies have found that nursing informatics tools can support nursing practice and knowledge development, and may potentially reduce healthcare costs.
The document discusses the need for personalized health solutions to address rising healthcare costs due to an aging global population with increasing rates of chronic diseases. It argues that personalized health, which uses precise tools and technologies to measure an individual's unique characteristics, can enhance health outcomes. The document outlines several areas of focus for personalized health innovations including clinical medicine, diagnostics, drug development, and condition-specific nutritional needs.
A selection of key indicators from "Health at a Glance 2019: OECD Indicators", released on November 7, 2019. More info at http://www.oecd.org/health/health-at-a-glance.htm.
Mobile Health at Ochsner: The Apple HealthKit and Epic EMR IntegrationRahlyn Gossen
The document discusses innovation in health care delivery at Ochsner Health System. It describes how Ochsner Center for Innovation was created in 2013 to develop new care delivery models using the newest technologies. It provides examples of innovations like integrating Ochsner's electronic health record with Apple HealthKit to allow seamless sharing of patient data between patients and physicians. The document advocates for an innovative model of care delivery that utilizes technology to remotely monitor and manage large patient populations with chronic conditions in a more efficient way.
PwC is a global professional services firm that provides audit, tax, and consulting services. It has established a Personalized Medicine practice to help clients address key healthcare trends and advance personalized healthcare. PwC has worked on various personalized medicine initiatives including establishing research institutes and facilitating strategic partnerships between organizations. Information technology and diagnostics will be important foundations supporting the development of personalized medicine.
A look at SxSW Health 2015 through the eyes of the online health ecosystemW2O Group
Presentation shared as a part of the Mayo Clinic Social Media Health Network's monthly webinar for April, 2015. A look at the trends and topics that captured the hearts and minds of the global online health ecosystem.
Disruptive Innovation in Health Care: A Path to High Quality, Affordable Care?The Commonwealth Fund
This document discusses disruptive innovation in healthcare and its potential to improve quality and affordability. It begins by outlining the agenda, which is to discuss 1) healthcare's value challenge, 2) limits of current efforts to increase value, and 3) the potential of disruptive innovation. It then provides background on rising healthcare costs as a percentage of GDP over time. Several graphs show limited progress on various quality measures like obesity and healthcare system performance relative to other countries. The document discusses limitations of various pay-for-performance and public reporting efforts. It argues disruptive innovation is needed and provides examples of adjacent and transformational innovations, as well as insights from other industries on achieving value.
Personal connected health is currently characterized by limited thought leadership, insufficient coordination and collaboration, and a lack of awareness and understanding of the full potential by all stakeholders: public, providers, policymakers, industry and patients. The Personal Connected Health Alliance is defining the the field of personal connected health to inspire market and policy innovation, research and collective action for sustained adoption of personal connected health technology. The vision is better health and well being for all through increased personal responsibilities and connectivity as well as improved care delivery enabled by technology.
The document discusses current challenges and priorities for the health sector, including increasing demand and costs, and reducing federal contributions. It emphasizes person-centered healthcare that prevents illness, better manages demand, and reduces admissions through continuity of care and applied health research. Technology is seen as a catalyst for change, with consumers driving adoption of innovations like digital health data sharing and wearables. The future model aims to deliver person-centered health and wellbeing through priorities like chronic disease management, improved outcomes and experiences, better system integration, and rural health. Digital building blocks and precision health systems are proposed to overcome challenges like paper records and legacy infrastructure.
IT trends in the US healthcare sector are driven by incentives to cut costs while improving care integration. Spending on healthcare IT is projected to grow from $54 billion in 2010 to $80 billion in 2017. Emerging technologies like mobile health, bring your own device (BYOD), big data analytics, and interoperable electronic health records aim to enhance care delivery and lower costs. Adoption of standards like ICD-10, HL7, and meaningful use incentives also promote IT-enabled transformation across providers, payers, and life sciences organizations.
The document discusses implementing chronic disease prevention and management frameworks in Canada. It notes that chronic diseases are a major cause of death and disability in Canada, costing $45 billion annually. The goals of chronic disease prevention and management frameworks are to reduce care discontinuities, increase prevention behaviors, improve population health, and reduce costs through a coordinated, systems approach. However, the document outlines several issues with implementing these frameworks in Canada, including a lack of governance to support inter-organizational collaboration, incomplete examples and evidence to support all aspects of the frameworks, and discontinuities in care due to a lack of integration between organizations.
The presentation discusses the innovation and disruption needed in the U.S. healthcare system as it undergoes dramatic transformation. It emphasizes that data is driving changes to payment reform, individual health interaction, and treatment at the point of care. The Department of Health and Human Services is making more health data openly available, disseminating it broadly, and educating participants to improve health and healthcare delivery by harnessing data. It is working to establish pilot test beds for health apps using data and is asking for help identifying relevant data sets and how data is being used.
The document discusses the state of personal connected health, including the roles of wearables, sensors, apps, devices, and interoperability with electronic health records. It describes how consumer-generated health data from these tools is being integrated into clinical workflows to improve care, though incentives and barriers still exist. Evidence is emerging that connected health can help with conditions like diabetes, and the field continues to see strong venture funding and innovation.
Rethinking Value Based Healthcare
Around the world healthcare providers are busy exploring how value-based healthcare can both improve the efficiency and effectiveness of healthcare delivery and seed new opportunities for innovation. Continuing our collaboration with Denmark, we are very pleased to release a new perspective on how VBHC can have greater impact in practice. Based on insights from a recent event hosted by DTU Executive Business Education and undertaken in partnership with Rethink Value, this point of view looks at the key issues for patients, physicals, providers and payers.
It explores some of the associated implications for healthcare systems worldwide, highlights several leading early examples of VBHC in practice and looks at how it can have impact at scale. Recommendations focus on the structure of care, key metrics, moving beyond pilots, changes in reimbursement models and the need for greater insight sharing and deeper collaboration.
For related Future Agenda research see www.futureofpatientdata.org
Big Data to Artificial Intelligence in Healthcarejetweedy
Big data in healthcare is studied because electronic health data sets are large, complex and growing. They contain 90% unstructured data that will increase 25 times over the next decade. Examples of artificial intelligence in healthcare include IBM Watson which provides evidence-based treatment options to oncologists, Medical Sieve which assists with clinical decision making in radiology and cardiology, and an app from AiCure supported by NIH that uses a smartphone's camera to confirm patients are adhering to their prescriptions. Deep Genomics also aims to identify patterns in genetic data to inform doctors about the effects of genetic variations at a cellular level. Overall, big data and AI can help make the right healthcare decisions for patients.
2021 Key Drivers in Healthcare- Michele Holcomb, Cardinal Health for mHealth ...Levi Shapiro
Presentation by Michele Holcomb, EVP, Chief Strategy & Business Development Officer, Cardinal Health, May 19th, 2021 for mHealth Israel. The pandemic accelerated and intensified key trends. Patients are more proactive in their health, Providers are taking a more holistic approach, Digital acceleration is unlocking opportunities. Patients are more proactive in their health. Online searching for health information continues to rise. People say looking up their symptoms is overwhelming, but they can’t stop. U.S. adults go online to identify a medical condition. Telehealth and home-based healthcare jumps. Telehealth makes up ~10% of physician visits; up from <1% of physician visits pre-pandemic. Hospital at home companies like Medically Home cared for 10X more patients. On-line pharmacy market accelerates. The North America online pharmacy market estimated at $31B in 2020 and it’s expected to grow 18.2% CAGR from 2020-2027. Providers are taking a more holistic approach. Social determinants of health have come into sharp focus. Economic stability, Physical environment, Education, Food Security, Community and Social Context, Healthcare Access. U.S. Population vs. COVID-19 cases. Race gaps in COVID-19 death rates. Mental health challenges escalate across the population. Significant rise in adults aged 65+ reporting anxiety or depression. More women compared to men are reporting significant increases in depression. Mental health related ER visits in youth are rising. Digital acceleration is unlocking opportunities faster than ever. Growth of digital health continues to set new records. The new gold rush: retrieving, analyzing, and leveraging data. “Most interesting” health tech M&A deals in 2020. Data and analytics critical across healthcare. Half of healthcare organizations are already using patient data predictive analytics. One third of the world’s data production (750 quadrillion bytes of data) is generated in healthcare everyday. Artificial intelligence set to transform treatment. The number of active AI startups has increased 14-fold since 2000. The healthcare AI powered tools market will exceed $34 billion by 2025.
The document discusses the challenges facing healthcare systems due to an aging population and rising costs. It argues that new models of care delivery enabled by connected technologies can help address these issues. Specifically, it envisions a future where remote patient monitoring, clinical decision support, and analytics help manage chronic conditions and shift care settings to be more efficient and preventative. Realizing this vision will require overcoming historical barriers through incremental innovation and the development of an interoperable technology-enabled care ecosystem.
WV transformation slide show may conference2Jack Shaffer
The document discusses West Virginia's vision for transforming its Medicaid program and healthcare system through the use of health information technology and electronic health records by 2020. It outlines strategies around collaboration, open solutions, and innovation to achieve an integrated system with interconnected EHRs, personal health records, telehealth, and mobile access to patient information. Key goals include widespread adoption of EHRs, health information exchange networks, and use of open-source software by 2020.
Sanofi Digital Transformation and Self Medication_mHealth IsraelLevi Shapiro
Presentation by Dr. Caty Ebel Bitoun, Global Medical Digital Transformation Head, Sanofi, for the mHealth Israel community, April 12, 2021. Begins with an overview and description of Sanofi worldwide. Explanatio of Sanofi's three Global Business Units (GBU) focused on prioritized portfolio. 1st GBU is Specialty Care: Immunology, Rare Diseases / Rare Blood Disorders, Neurology / Multiple Sclerosis, Oncology; 2nd GBU is General Medicines: Diabetes, Cardiovascular, Established Products; 3rd GBU is Vaccines: Influenza vaccines, Polio Pertussis & Hib, Boosters, Meningitis, others. There is also a standalone GBU for Consumer Healthcare: Allergy, Cough & Cold, Pain, Digestive Health, Mental Wellness. Digital is changing the healthcare landscape. Empowering patients / consumers and organising self monitoring. Digital improves patient information and product usage with sustainibility value proposition. Digital Therapeutics are opening a new way to manage pain. Sanofi Ideal partner profile has Mature technology
including mature business model. Scalable across more than 2
geographies. Compliance with cybersecurity and data protection. Sustainibility value proposition. Easy to purchase
(onsite & e-commerce). Impact on consumers includes Consumer focus. Proven improvement in health or lifestyle outcome. Data driven claims supported by scientific evidence. Augmented consumer experience. Sanofi has a partner centric philosophy.
This document discusses enabling consumer-centered care through a transformative shift in health data and technology. It notes the current context of increasing health care costs and demand. Technology is seen as a catalyst for change by allowing greater data sharing and monitoring. Victoria's future health model prioritizes a person-centered view and preventing chronic disease. Building blocks for digital health include clinical services, patient indexing, information exchange, and referrals. Challenges include integrating legacy systems and funding models focused on episodic rather than continuous care.
> HTA and Real World Evidence (RWE)
> Why RWE? - Limitations with RCT
> RCT v/s RWE
> Definition of RWE
> Sources of RWE
> Advantages of RWE
> Application of Real World Data (RWD) in RWE
> Benefits of RWD in RWE
> Why Data Sharing is Important?
> Important Stakeholders
> How to Encourage Data Sharing?
> Benefits of Data Sharing
> Case Studies
> Data Privacy Scenario
> Data Security in India
> Regulatory Perspectives Around RWD/RWE
> Way Forward
State of Michigan HIE Update (without Tina Scott)mihinpr
This document summarizes health information technology (HIT) and health information exchange (HIE) efforts in the state of Michigan. It discusses the state's strategic priorities around improving population health, care delivery systems, and health care reform through initiatives like the State Innovation Model. It provides an overview of HIT programs and incentives like the Medicaid EHR Incentive Program. Key organizations involved include the Health Information Technology Commission and stakeholders working to advance HIT and HIE. The goal is to use health data and technology to improve care, outcomes and costs.
De Hogeweyk, the Care Concept – Living life as usual with an advanced dementia
By: Yvonne van Amerongen, De Hogeweyk and Oversingel, part of the Vivium Care Group
At Sherbrooke International Life Sciences Summit - 2nd edition | September 28/29/30 2015
www.sils-sherbrooke.com
A look at SxSW Health 2015 through the eyes of the online health ecosystemW2O Group
Presentation shared as a part of the Mayo Clinic Social Media Health Network's monthly webinar for April, 2015. A look at the trends and topics that captured the hearts and minds of the global online health ecosystem.
Disruptive Innovation in Health Care: A Path to High Quality, Affordable Care?The Commonwealth Fund
This document discusses disruptive innovation in healthcare and its potential to improve quality and affordability. It begins by outlining the agenda, which is to discuss 1) healthcare's value challenge, 2) limits of current efforts to increase value, and 3) the potential of disruptive innovation. It then provides background on rising healthcare costs as a percentage of GDP over time. Several graphs show limited progress on various quality measures like obesity and healthcare system performance relative to other countries. The document discusses limitations of various pay-for-performance and public reporting efforts. It argues disruptive innovation is needed and provides examples of adjacent and transformational innovations, as well as insights from other industries on achieving value.
Personal connected health is currently characterized by limited thought leadership, insufficient coordination and collaboration, and a lack of awareness and understanding of the full potential by all stakeholders: public, providers, policymakers, industry and patients. The Personal Connected Health Alliance is defining the the field of personal connected health to inspire market and policy innovation, research and collective action for sustained adoption of personal connected health technology. The vision is better health and well being for all through increased personal responsibilities and connectivity as well as improved care delivery enabled by technology.
The document discusses current challenges and priorities for the health sector, including increasing demand and costs, and reducing federal contributions. It emphasizes person-centered healthcare that prevents illness, better manages demand, and reduces admissions through continuity of care and applied health research. Technology is seen as a catalyst for change, with consumers driving adoption of innovations like digital health data sharing and wearables. The future model aims to deliver person-centered health and wellbeing through priorities like chronic disease management, improved outcomes and experiences, better system integration, and rural health. Digital building blocks and precision health systems are proposed to overcome challenges like paper records and legacy infrastructure.
IT trends in the US healthcare sector are driven by incentives to cut costs while improving care integration. Spending on healthcare IT is projected to grow from $54 billion in 2010 to $80 billion in 2017. Emerging technologies like mobile health, bring your own device (BYOD), big data analytics, and interoperable electronic health records aim to enhance care delivery and lower costs. Adoption of standards like ICD-10, HL7, and meaningful use incentives also promote IT-enabled transformation across providers, payers, and life sciences organizations.
The document discusses implementing chronic disease prevention and management frameworks in Canada. It notes that chronic diseases are a major cause of death and disability in Canada, costing $45 billion annually. The goals of chronic disease prevention and management frameworks are to reduce care discontinuities, increase prevention behaviors, improve population health, and reduce costs through a coordinated, systems approach. However, the document outlines several issues with implementing these frameworks in Canada, including a lack of governance to support inter-organizational collaboration, incomplete examples and evidence to support all aspects of the frameworks, and discontinuities in care due to a lack of integration between organizations.
The presentation discusses the innovation and disruption needed in the U.S. healthcare system as it undergoes dramatic transformation. It emphasizes that data is driving changes to payment reform, individual health interaction, and treatment at the point of care. The Department of Health and Human Services is making more health data openly available, disseminating it broadly, and educating participants to improve health and healthcare delivery by harnessing data. It is working to establish pilot test beds for health apps using data and is asking for help identifying relevant data sets and how data is being used.
The document discusses the state of personal connected health, including the roles of wearables, sensors, apps, devices, and interoperability with electronic health records. It describes how consumer-generated health data from these tools is being integrated into clinical workflows to improve care, though incentives and barriers still exist. Evidence is emerging that connected health can help with conditions like diabetes, and the field continues to see strong venture funding and innovation.
Rethinking Value Based Healthcare
Around the world healthcare providers are busy exploring how value-based healthcare can both improve the efficiency and effectiveness of healthcare delivery and seed new opportunities for innovation. Continuing our collaboration with Denmark, we are very pleased to release a new perspective on how VBHC can have greater impact in practice. Based on insights from a recent event hosted by DTU Executive Business Education and undertaken in partnership with Rethink Value, this point of view looks at the key issues for patients, physicals, providers and payers.
It explores some of the associated implications for healthcare systems worldwide, highlights several leading early examples of VBHC in practice and looks at how it can have impact at scale. Recommendations focus on the structure of care, key metrics, moving beyond pilots, changes in reimbursement models and the need for greater insight sharing and deeper collaboration.
For related Future Agenda research see www.futureofpatientdata.org
Big Data to Artificial Intelligence in Healthcarejetweedy
Big data in healthcare is studied because electronic health data sets are large, complex and growing. They contain 90% unstructured data that will increase 25 times over the next decade. Examples of artificial intelligence in healthcare include IBM Watson which provides evidence-based treatment options to oncologists, Medical Sieve which assists with clinical decision making in radiology and cardiology, and an app from AiCure supported by NIH that uses a smartphone's camera to confirm patients are adhering to their prescriptions. Deep Genomics also aims to identify patterns in genetic data to inform doctors about the effects of genetic variations at a cellular level. Overall, big data and AI can help make the right healthcare decisions for patients.
2021 Key Drivers in Healthcare- Michele Holcomb, Cardinal Health for mHealth ...Levi Shapiro
Presentation by Michele Holcomb, EVP, Chief Strategy & Business Development Officer, Cardinal Health, May 19th, 2021 for mHealth Israel. The pandemic accelerated and intensified key trends. Patients are more proactive in their health, Providers are taking a more holistic approach, Digital acceleration is unlocking opportunities. Patients are more proactive in their health. Online searching for health information continues to rise. People say looking up their symptoms is overwhelming, but they can’t stop. U.S. adults go online to identify a medical condition. Telehealth and home-based healthcare jumps. Telehealth makes up ~10% of physician visits; up from <1% of physician visits pre-pandemic. Hospital at home companies like Medically Home cared for 10X more patients. On-line pharmacy market accelerates. The North America online pharmacy market estimated at $31B in 2020 and it’s expected to grow 18.2% CAGR from 2020-2027. Providers are taking a more holistic approach. Social determinants of health have come into sharp focus. Economic stability, Physical environment, Education, Food Security, Community and Social Context, Healthcare Access. U.S. Population vs. COVID-19 cases. Race gaps in COVID-19 death rates. Mental health challenges escalate across the population. Significant rise in adults aged 65+ reporting anxiety or depression. More women compared to men are reporting significant increases in depression. Mental health related ER visits in youth are rising. Digital acceleration is unlocking opportunities faster than ever. Growth of digital health continues to set new records. The new gold rush: retrieving, analyzing, and leveraging data. “Most interesting” health tech M&A deals in 2020. Data and analytics critical across healthcare. Half of healthcare organizations are already using patient data predictive analytics. One third of the world’s data production (750 quadrillion bytes of data) is generated in healthcare everyday. Artificial intelligence set to transform treatment. The number of active AI startups has increased 14-fold since 2000. The healthcare AI powered tools market will exceed $34 billion by 2025.
The document discusses the challenges facing healthcare systems due to an aging population and rising costs. It argues that new models of care delivery enabled by connected technologies can help address these issues. Specifically, it envisions a future where remote patient monitoring, clinical decision support, and analytics help manage chronic conditions and shift care settings to be more efficient and preventative. Realizing this vision will require overcoming historical barriers through incremental innovation and the development of an interoperable technology-enabled care ecosystem.
WV transformation slide show may conference2Jack Shaffer
The document discusses West Virginia's vision for transforming its Medicaid program and healthcare system through the use of health information technology and electronic health records by 2020. It outlines strategies around collaboration, open solutions, and innovation to achieve an integrated system with interconnected EHRs, personal health records, telehealth, and mobile access to patient information. Key goals include widespread adoption of EHRs, health information exchange networks, and use of open-source software by 2020.
Sanofi Digital Transformation and Self Medication_mHealth IsraelLevi Shapiro
Presentation by Dr. Caty Ebel Bitoun, Global Medical Digital Transformation Head, Sanofi, for the mHealth Israel community, April 12, 2021. Begins with an overview and description of Sanofi worldwide. Explanatio of Sanofi's three Global Business Units (GBU) focused on prioritized portfolio. 1st GBU is Specialty Care: Immunology, Rare Diseases / Rare Blood Disorders, Neurology / Multiple Sclerosis, Oncology; 2nd GBU is General Medicines: Diabetes, Cardiovascular, Established Products; 3rd GBU is Vaccines: Influenza vaccines, Polio Pertussis & Hib, Boosters, Meningitis, others. There is also a standalone GBU for Consumer Healthcare: Allergy, Cough & Cold, Pain, Digestive Health, Mental Wellness. Digital is changing the healthcare landscape. Empowering patients / consumers and organising self monitoring. Digital improves patient information and product usage with sustainibility value proposition. Digital Therapeutics are opening a new way to manage pain. Sanofi Ideal partner profile has Mature technology
including mature business model. Scalable across more than 2
geographies. Compliance with cybersecurity and data protection. Sustainibility value proposition. Easy to purchase
(onsite & e-commerce). Impact on consumers includes Consumer focus. Proven improvement in health or lifestyle outcome. Data driven claims supported by scientific evidence. Augmented consumer experience. Sanofi has a partner centric philosophy.
This document discusses enabling consumer-centered care through a transformative shift in health data and technology. It notes the current context of increasing health care costs and demand. Technology is seen as a catalyst for change by allowing greater data sharing and monitoring. Victoria's future health model prioritizes a person-centered view and preventing chronic disease. Building blocks for digital health include clinical services, patient indexing, information exchange, and referrals. Challenges include integrating legacy systems and funding models focused on episodic rather than continuous care.
> HTA and Real World Evidence (RWE)
> Why RWE? - Limitations with RCT
> RCT v/s RWE
> Definition of RWE
> Sources of RWE
> Advantages of RWE
> Application of Real World Data (RWD) in RWE
> Benefits of RWD in RWE
> Why Data Sharing is Important?
> Important Stakeholders
> How to Encourage Data Sharing?
> Benefits of Data Sharing
> Case Studies
> Data Privacy Scenario
> Data Security in India
> Regulatory Perspectives Around RWD/RWE
> Way Forward
State of Michigan HIE Update (without Tina Scott)mihinpr
This document summarizes health information technology (HIT) and health information exchange (HIE) efforts in the state of Michigan. It discusses the state's strategic priorities around improving population health, care delivery systems, and health care reform through initiatives like the State Innovation Model. It provides an overview of HIT programs and incentives like the Medicaid EHR Incentive Program. Key organizations involved include the Health Information Technology Commission and stakeholders working to advance HIT and HIE. The goal is to use health data and technology to improve care, outcomes and costs.
De Hogeweyk, the Care Concept – Living life as usual with an advanced dementia
By: Yvonne van Amerongen, De Hogeweyk and Oversingel, part of the Vivium Care Group
At Sherbrooke International Life Sciences Summit - 2nd edition | September 28/29/30 2015
www.sils-sherbrooke.com
Capital intellectuel – Votre entreprise est assise sur une mine d’or Sherbrooke Innopole
Présentation faite par Luc Bérubé, agent de brevets certifié et fondateur de Bérubé Capital Intellectuel, dans le cadre du déjeuner du GATE, le 5 février 2016 à Sherbrooke.
Lisez le blogue résumé -> http://bit.ly/1UcigTo
Présentation faite par Lise Vaillancourt, directrice régionale adjointe, Estrie et Montérégie au ministère du Développement durable, de l’Environnement et de la Lutte contre les changements climatiques (MDDELCC) du Québec, le 18 février 2016 à Sherbrooke dans le cadre d'un déjeuner-conférence organisé par le Créneau ACCORD des bio-industries environnementales (CABIE), en collaboration avec Sherbrooke Innopole.
By: Karsten Russell-Wood, Philips Hospital to Home
At Sherbrooke International Life Sciences Summit - 2nd edition | September 28/29/30 2015
www.sils-sherbrooke.com
SILS 2015 - Connecting Precision Medicine to Precision Wellness Sherbrooke Innopole
By: Joel Dudley, Mount Sinai School of Medicine
At Sherbrooke International Life Sciences Summit - 2nd edition | September 28/29/30 2015
www.sils-sherbrooke.com
Start Turning Data Into Actionable InsightsTiffani Allen
Research shows that when consumer insights are translated into action a company is 84% more likely to surpass revenue and profitability goals. Ciceron is a full service digital marketing agency that believes that data points can be used to tell a story, gleaning consumer insights and using those to maximize your ROI.
In introduction to SILS 2015 panel of international specialists on “Aging of the Population: Opportunity or Threat?”
By : Carine Boonen, Flanders' Care (Belgium)
At Sherbrooke International Life Sciences Summit - 2nd edition | September 28/29/30 2015
www.sils-sherbrooke.com
By: Fiona Fitzgerald, GE Healthcare Canada
At Sherbrooke International Life Sciences Summit - 2nd edition | September 28/29/30 2015
www.sils-sherbrooke.com
Verbom - Projet de R-D avec CRSNG / Université de SherbrookeSherbrooke Innopole
Présentation faite par Nicolas Bombardier, directeur R-D, Verbom à l'occasion du déjeuner du GATE sur les programmes de partenariat de recherche du CRSNG, le 1er mai 2015 à Sherbrooke.
The document discusses challenges facing New Zealand's health system, including an aging population, rising rates of chronic diseases, workforce issues, and rising costs. It notes improvements in some health outcomes but persisting inequalities. It argues for addressing modifiable risk factors, upstream investment, improved interventions, and new models of integrated care centered around patients and communities. Information systems will be important to drive quality improvement, performance monitoring, and new models of coordinated, proactive care.
Ageing: fiscal implications and policy responses -- Chris James, OECDOECD Governance
This presentation was made by Chris James, OECD, at the 6th meeting of the joint OECD DELSA-GOV network on fiscal sustainability of health systems held in Paris, on 18-19 September 2017
Ageing: Fiscal implications and policy responses -- Chris James, OECDOECD Governance
This presentation was made by Chris James, OECD Secretariat, at the 6th Meeting of the Joint OECD DELSA-GOV Network on Fiscal Sustainability of Health Systems, held at the OECD Conference Centre, Paris, on 18-19 September 2017
This presentation by Ankit KUMAR was made at the 3rd Joint DELSA/GOV Health Meeting, Paris 24-25 April 2014. Find out more at www.oecd.org/gov/budgeting/3rdmeetingdelsagovnetworkfiscalsustainabilityofhealthsystems2014.htm
Health spending is likely to continue growing faster than economic growth, putting pressure on public budgets. While accommodating greater health spending may be acceptable, opportunities exist to increase productivity in health systems. In the long run, the correlation between health spending and GDP may need to be weakened to ensure fiscal sustainability, through policies like improving efficiency, shifting focus to prevention, and better defining public coverage.
The document discusses the Buck Institute's growing global partnerships and business development efforts to advance aging research. Due to discoveries made by Buck scientists and a decline in NIH funding, business development became a top priority. The Buck has established partnerships across the globe in countries like Brazil, Russia, Japan, and China to pursue joint research, licensing agreements, and investments. These partnerships will help accelerate translating research findings into new therapies to extend healthspan worldwide. The Buck has also hired experts in business development and is exploring opportunities in health policy to have a greater impact on global health as a leader in aging science.
What is the Evidence and Return on Investment (ROI) of Obesity Prevention and...ICF
Originally presented at George Washington University's and ICF International's Research and Evaluation Forum (#GWICF2015), Dr. Ron Goetzel demonstrates why employers should look at value on investment (VOI) rather than return on investment (ROI) of workplace health promotion. Dr. Goetzel goes through:
• The severity and cost of obesity
• Why the workplace is the optimal environment for health programs
• Evidence and examples of how workplace health programs can bring VOI
• How employers can get VOI
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SILS 2015 - Future Longevity and Population Health Improvements: An Economic Perspective
1. FUTURE LONGEVITYAND POPULATION
HEALTH IMPROVEMENTS: AN ECONOMIC
PERSPECTIVE
Pierre-Carl Michaud, ESG UQAM and CIRANO
Industrielle Alliance Research Chair on the Economics
of Demographic Change
2. Evolution of Life Expectancy, 1980-2010
72
74
76
78
80
82
84
1980 1985 1990 1995 2000 2005 2010
Life Expectancy at Birth, OECD
Germany Australia Canada United States
France Japan United Kongdom
Source: OECD
2
3. Evolution of Life Expectancy, Canada
Source: OECD
72
74
76
78
80
82
84
86
88
90
1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040 2045 2050
Trend in Life Expectancy (years)
Observed
Projected
Lots of
Uncertainty
3
4. Cause for Optimism: Medical Progress
• Medical research had important impact on life expectancy
4
5. But Concentrated Improvement: Cardiovascular Disease
Source : Cutler et al. (NEJM, 2006)
5
Causes of Increases in Life Expectancy among Newborns, 1960-2000
6. Cause for Optimism: Medical Progress
• Most medical research remains focused on combating
individual diseases
• Recent scientific advances suggest that slowing the aging
process is now a realistic goal
6
8. The Rise of Obesity
• The World Health Organization (WHO) estimates in 2014 that, worldwide:
• More than 1.9 billion adults are overweight
• 600 million are obese
• In the U.S., the prevalence of obesity has more than doubled
• 15% in 1971-1975 (Cutler, Glaeser and Shapiro, 2003)
• 35% in 2012 (Ogden et al.; JAMA 2014)
• In Europe, obesity rates are generally lower than in the U.S (Sanz-de-
Galdeano, 2007; Andreyeva et al., 2007)
• But the rising trend in obesity is seen as a serious threat to public health
8
9. Prevalence of Obesity Among Adults (18+ y.o.), 2004
Source: OECD (2005)
0%
5%
10%
15%
20%
25%
30%
35%
Austria (1999) Denmark
(2000)
France (2002) Germany Italy Netherlands Spain Sweden U.K. U.S.
Prevalence of Obesity (%)
9
10. Health Disparities Between Europe and the U.S.
3.9
5.1
1.5
2.9 3.0
18.2
10.5
11.8
2.5
5.5 5.0
35.4
0
10
20
30
40
Heart Diabetes Stroke Lung Cancer Hypertension
Prevalence of Disease (%)
Among population aged 50-53 y.o.
Europe USU.S.
Heart Lung
Diseases
Notes: Comparing populations aged 50-53 in the U.S. Health and Retirement Study of 2004 and in the Survey of Health, Ageing and Retirement
(SHARE) of 2004 (Denmark, France, Germany, Greece, Italy, The Netherlands, Spain, Sweden). Data from Austria and Switzerland not included
because of lack of appropriate population weights and of low response rate and small sample, respectively. Sample weights used.
10
11. 26
27
28
29
30
31
32
33
1975 2005
Remaining Life Years at Age 50
Europe
USU.S.
Life Expectancy at 50 y.o.
Notes: Data come from the Human Mortality Database period life tables for 1975 and 2005. European countries are Denmark, France,
Italy, The Netherlands, Spain and Sweden. Weighted average using population size at age 50.
1.5 years
gap
**27.1
27.2
32.5
31.0
11
12. What are the Economic Implications of These Trends?
• Improving health:
• Higher productivity, longer careers
• Reduced health spending and dependence on welfare
programs
• Improving longevity:
• Larger retired population
• Pension benefits paid out over longer periods
• Improving well-being:
• Living longer and healthier has other non-monetary
benefits for which monetary value can be calculated
12
13. Illustration 1: What These differences in Health Between
U.S. and Europe Mean in Economic Terms
• Appropriate model to answer this type of questions:
• Microsimulation model
• Simulation of individuals aged 50 years old in 2004
• Using the Future Elderly Model (FEM)
• 2 scenarios:
• Status quo Americans
• Americans with Health of the Europeans
• All others characteristics are kept constant
13
14. Health Explains an Important Part of the Difference
1.3
-0.1
1.2
-0,4
0,0
0,4
0,8
1,2
1,6
Healthy Disabled Net
Additional Life-Years Under “Healthy European
Scenario”
Relative to status quo
Source: Michaud et al. (Social Science & Medicine, 2011) 14
15. 138 123 144 716
73 391 68 674
21 745 18 058
0
50 000
100 000
150 000
200 000
250 000
Status Quo Healthier
Scenario
Expenditures
Effects on Public Finances in the U.S. ($ per capita)
15
46 289
0
47 637
16 035 16 535
16 566 17 031
0
20 000
40 000
60 000
80 000
100 000
Status Quo Healthier
Scenario
Revenues
Federal Tax
State Tax
SS Payroll Tax
Medicare
Payroll Tax
OASI
Medicare
Medicaid
Source: Michaud et al. (Social Science & Medicine, 2011)
Δ = +$2,425
per capita
Δ = -$2,477
per capita
82,910 85,335
243,069 240,592
SSI DI
16. Illustration 2: What is the Economic Value of Investing in
Research That “Delays Aging”?
• Research that has the potential to extend life while reducing
the prevalence of comorbidities over the entire lifetime
• At the practical level, delayed aging means having the body
and mind of someone who is years younger than the majority
of today’s population at one’s chronological age
• There is evidence that centenarians (whose longevity is at
least partially inheritable) often have delayed onset of age-
related diseases and disabilities, which suggests that they
senesce (grow old biologically) more slowly than the rest of
the population
16
17. Possible Consequences
• Delayed aging could increase life expectancy by an additional
2.2 years, most of which would be spent in good health
(Goldman et al 2013)
• The economic value of delayed aging is estimated to be
$7.1 trillion over 50 years
• Delayed aging would greatly increase entitlement outlays,
especially for Social Security
• However, these changes could be offset by increasing the
Medicare eligibility age and the normal retirement age for Social
Security
17
18. We Developed Four Scenarios
• Baseline Scenario
• Delayed Cancer Scenario
• We reduced the incidence of cancer over time. We phased in a
linear 25% reduction in cancer incidence over the period 2010-30
• Delayed Heart Disease Scenario
• We reduced the incidence of heart disease over time. We assumed
a linear reduction in the incidence of 25% between 2010 and 2030
• Delayed Aging Scenario
• We assumed that improvements in mortality and health started
earlier in life than they did in the disease-specific scenarios
• We assumed that the slope of the mortality curve observed in 2000
will decline by 20%
18
19. Delayed Aging vs. Single-Disease Approach
0
20
40
60
80
100
120
2010 2020 2030 2040 2050 2060
Population 65 and Older
(millions)
Baseline
Delayed Heart
Disease
Delayed Aging
SOURCE: Authors’ calculations using the Future Elderly Model.
Notes: Population 65 years of age and older under various medical progress scenarios. Delayed aging results in substantially
higher population projections relative to reductions in heart disease or cancer alone.
Delayed aging increases the
number of persons aged 65+, with
an economic value of $4.3 trillion
19
20. Delayed Aging Increases Government Medical Spending
-50
0
50
100
150
200
250
300
350
2010
2020
2030
2040
2050
2060
Change in Medical Spending Relative to Baseline
(billions of $, 2010)
Medical under
Delayed Cancer
Medical under
Delayed Heart
Disease
Medical under
Delayed Aging
SOURCE: Authors’ calculations using the Future Elderly Model
Notes: Projected government medical spending under various medical progress scenarios, relative to baseline. Medical spending includes all
Medicare and Medicaid spending on Americans aged 51+. Medical spending is much higher under the delayed aging scenario because of the larger
increase in the total population, even though per period costs for Medicare are lower.
20
21. Effect of Changing the age of Medicare Eligibility
-500
0
500
1000
1500
2000
2500
3000
3500
2010
2020
2030
2040
2050
2060
Change in Government Spending Relative to Baseline
(billions of $, 2010)
Delayed Cancer
Delayed Heart Disease
Delayed Aging without
Eligibility Fix
Delayed Aging with
Eligibility Fix
SOURCE: Authors’ calculations using the Future Elderly Model
Notes: Cumulative fiscal impact of delayed aging scenario, with and without Medicare eligibility changes, with a 3% annual discount rate. The
inclusion of this eligibility fix would result in no additional government spending relative to the current baseline, despite much larger increases in the
older population.
• The eligibility fix refers to a gradual increase in the eligibility age for
Medicare from 65 to 68, and for Social Security from 67 to 68 (i.e. extending
the existing trend for about 10 years)
21
22. Conclusion
• There is great uncertainty as to the likely course of life expectancy:
two key forces at play
• From an economic standpoint, the rise of obesity and increase in
various health conditions is bad news with large impacts on the
capacity of our governments to fund other valuable programs (e.g.
education, climate change)
• The potential of medical innovation to deliver large increases in life
expectancy/health will depend on whether or not it is targeted
towards diseases or towards aging itself
• The argument that improvements in health will run the government
bankrupt assumes programs cannot be adjusted. Modest changes
can be implemented so that medical progress delivers large welfare
benefits while remaining “revenue-neutral”.
22
23. Collaborators
• From the U.S.
• Dana Goldman, Darius Lakdawalla & Yuhui Zheng, University of Southern
California
• Adam Gailey & Frederico Girosi, RAND Corporation
• Jeffrey Sullivan, Precision Health Economics
• David Cutler, Harvard University
• John Rowe, Columbia University
• S. Jay Olshansky, University of Illinois at Chicago
• From Canada
• David Boisclair, Yann Décarie and François Laliberté-Auger, ESG UQAM
23