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1、Contents HYPERLINK l _TOC_250002 Executive summary 5 HYPERLINK l _TOC_250001 Introduction to the charge of the World Economic Forum Global Precision 7 HYPERLINK l _TOC_250000 Medicine CouncilGovernance gap 1: Data sharing and interoperability 10Focus area 1: Demonstrating value in the standardizatio
2、n of disparate 10data to determine genotype and phenotype relationshipFocus area 2: Enabling interoperability across different standards to 13improve diagnosis and researchFocus area 3: Patient engagement and participation 15Notation of ongoing challenges in governance gap 16Summary and recommendati
3、ons 17Governance gap 2: Ethical use of technology 18Focus area 1: Informed consent 18Focus area 2: Just distribution of benefits 19Focus area 3: Inclusiveness and representation 21Notation of ongoing challenges in governance gap 22Summary and recommendations 23Governance gap 3: Trust and engagement
4、24Focus area 1: Understanding and appropriately building societal trust in 24health data use and accessFocus area 2: Increasing awareness of genomics 26Focus area 3: Addressing the impact of direct-to-consumer testing (DTC) 27on trustNotation of ongoing challenges in governance gap 28Summary and rec
5、ommendations 29Governance gap 4: Access and fair pricing 30Focus area 1: Ensuring evidence of safety and effectiveness throughout 30fast-track drug life cyclesFocus area 2: Need for a national patient registry 31Focus area 3: Patentability of biomarkers 32Focus area 4: Global standards for new diagn
6、ostic pricing models 33Notation of ongoing challenges in governance gap 34Summary and recommendations 34Governance gap 5: Responsive regulatory systems 36Focus area 1: Data privacy and data ownership 36Focus area 2: Obligations to patients 37Focus area 3: Acceptable applications of precision health
7、data and issues 38surrounding direct-to-consumer testingNotation of ongoing challenges in governance gap 39Summary and recommendations 40Conclusions and next steps 41Contributors 43Global Precision Medicine Council 43Acknowledgements 44Endnotes 45Executive summaryThe benefits of precision medicine i
8、n terms of superior health and healthcare outcomes are increasingly clear, but there are challenges to the equitable andwidespread dissemination of precision medicine tools, technologies and solutions. The World Economic Forum convened more than 40 leaders from the public and private sectors, civil
9、society and academia in a Global Precision Medicine Council (the Council) in 2019 to help shape the governance of precision medicine in thepublic interest. This document is the Councils synthesis of the key policy and governance gaps, and its vision for the solutions to overcome them. It should serv
10、e as a reference for the greater healthcare community with an interest in helping deliver these benefits on a global basis.These five governance gaps are: 1) data sharing and interoperability; 2) ethical use of technology; 3) patient and public engagement and trust; 4) access, delivery,value, pricin
11、g and reimbursement; 5) responsive regulatory systems.Using illustrative examples of solutions or analytical frameworks to overcome thesefive gaps, the Council provides areas of opportunity to accelerate precision medicine approaches globally. The main considerations and recommendations include:Incr
12、easing awareness of the benefits of data standardization and interoperability and fostering trusted mechanisms of collaboration involving patients to unlockthe vast amounts of data neededLearning lessons from research efforts that were discriminatory or hurtful and focusing new efforts on inclusivit
13、y and representativeness to support ethical technology developmentBuilding public and patient trust and engagement by encouraging deliberation and mechanisms on if/how genetic and other sensitive health data areaccessed or used by commercial companies and law enforcementInnovating intellectual prope
14、rty protection regimes for biomarkers andalgorithms as part of the process of incentivizing investment in foundational new diagnosticsFunding and publicly reporting post-market clinical trials and studies for fast-track therapeutics that allow healthcare providers to clearly understand the value of
15、precision medicine treatments and receive payments based on performanceDesigning and implementing consistent and appropriate regulatory frameworks that protect the health information generated from direct-to-consumer genetic services in a way that support the values of patients and participantsUnfor
16、tunately, more than half of the worlds population still has no access toprecision medicine and is unable to reap the benefits. We must be ever vigilant about increasing the capabilities of many countries and populations to join this global movement towards more personalized and targeted ways of scre
17、ening,preventing, diagnosing, treating and curing patients with disease. The importance of worldwide access and of addressing these inequities is urgent. With this inmind, the Council aims to contribute positively to the global debate and activity by framing solutions that may be scalable and useful
18、 in many settings, as well as byidentifying ongoing challenges that remain resistant to solutions in order to focus new creativity on finding appropriate paths forward.Introduction to the charge of the World Economic Forum Global PrecisionMedicine CouncilPrecision medicine is a term widely used to d
19、enote the application of scientificprocesses, technology and evidence to improve the care of patients by optimizing the therapeutic benefit of interventions to treat, manage, cure and ideally prevent human diseases. Often, this involves matching a sophisticated understandingof disease mechanisms and
20、 pathophysiology with highly specific diagnostic,therapeutic and/or preventive measures to improve clinical outcomes in selected patients or populations. Everyone is familiar with certain aspects of precisionmedicine based on the ability of vaccinations to prevent feared infectious diseases of the p
21、ast, such as smallpox and polio. By understanding the causative infectious agent and by “educating and activating” the human immune system, precisionmedicine has been able to conquer many serious life-threatening infectious diseases.Modern precision medicine continues to deliver cutting-edge breakth
22、roughtherapeutic, diagnostic and preventive tools against cancer, due to our increasing mechanistic knowledge of what makes different types of cancer “tick”. Byunderstanding that a mutation in a cancer cell leads to an uncontrolled enzyme, the drug imatinib (known initially as Gleevec in the United
23、States and as Glivec in all other countries) has revolutionized the treatment of certain leukaemias andother cancers, based on targeting the upregulated enzyme in the cancer cell. This drug, as well as other remarkable examples of targeted therapy, have returnedpatients to normal lifespans, and acce
24、ss is easier worldwide now that patents have expired on several such breakthrough drugs. Precision vaccines against hepatitis have decreased the incidence of liver cancer, once the most commoncancer in the world. Also, thanks to recent Nobel Prize-winning work, there is avaccine against the viruses
25、that cause cervical cancer (the human papillomavirus). Making cancer a less common and less feared disease is an admirable goal, which precision medicine can accomplish. The ability of precision medicine to help withemerging infectious diseases is also becoming more apparent during the 2020 COVID-19
26、 pandemic. We know from host genome work that some people are much more likely to suffer severe symptoms, even in the absence of underlying health conditions. Being able to find these people through simple testing would enable them to be vaccinated preferentially or triaged for medical attention att
27、he first signs of illness. The ability to use precision medicine in the response to COVID-19 is going to be important given that any vaccine is likely to be inshort supply, at least initially. This shows that while the remarkable advances inunderstanding infectious diseases and cancers have led to r
28、evolutionary changes in patient management for a few targeted diseases, the impacts have broadrelevance to global health and many aspects of health and wellness.The World Economic Forum formed the Global Precision Medicine Council (the Council) to identify and evaluate challenges to the implementati
29、on ofprecision medicine in different settings, countries, cultures and socioeconomic environments. The benefits of precision medicine in terms of superior outcomes are increasingly clear, but there are challenges to the equitable and widespread dissemination of precision medicine tools, technologies
30、 and solutions. TheCouncil aims to help shape the global narrative on policy and governance forprecision medicine in a constructive way that learns from prior examples of both success and ongoing improvements. Since the need for healthcare and medicine is universal, this is an ideal example of a cri
31、tical ecosystem in which technology, tools and concepts cross sovereign borders, without clear or effective accepted international governance to guide the optimal use and dissemination of thesetechnologies in different global settings.Over the past year, the Council has identified examples of policy
32、 and governance gaps that stand in the way of implementing precision medicine approaches. After identifying such gaps, the Council collected illustrative examples of solutions or analytical frameworks to overcome these gaps with the goal of supporting global implementation and acceptance of precisio
33、n medicine. In so doing, the Councilaims to contribute positively to the global debate and activity by framing solutions that may be scalable and useful in many settings, as well as by identifying ongoing challenges that remain resistant to solutions in order to focus new creativity onfinding approp
34、riate paths forward.This document presents the vision for understanding and creating solutions toovercome the challenges of gaps in policy and governance that currently exist to advancing a precision medicine approach.Council processStep 1: Identifying the policy and governancegaps that impede the i
35、mplementation of precision medicineThe Council members determined that it would be helpful to construct a set of broad categories of gaps in policy or governance that impede the implementation and acceptance of precision medicine. Key governance gaps to implementing a precision medicine approach are
36、:Data sharing and interoperabilityEthical use of technologyPatient and public engagement and trustAccess, delivery, value, pricing and reimbursementResponsive regulatory systemsStep 2: Curating and assessing case studies to illustrate potential solutions in overcomingchallenges from gaps in policy a
37、nd/or governanceFor each of these categories, the Council formedworking groups to identify examples of challenges due to gaps in policy and governance that impede equitable and widespread dissemination of precision medicineapproaches. Five working groups, corresponding to the five key governance gap
38、s listed above, identifiedthe relevant organizations, structures and/or decision- making processes to highlight. The working groupsthen found illustrative and informative case studies.These case studies were chosen either because they illustrated how certain solutions have beenoperationalized to ove
39、rcome some of the gap(s) that block precision medicine implementation, or because they identify some of the pitfalls to be avoided.This paper represents the initial vision statement from the Council. It is meant to serve as a document tostart the conversations towards even more substantive discussio
40、ns in the search for meaningful long-termPrecision Medicine Vision Statement 9solutions and impact.Governance gap 1:Data sharing and interoperabilityData systems that can capture volumes of standardized research, and clinical and patient-reported information enable data sharing for new discoveries a
41、nd clinical applications that allow for precision medicine approaches to healthcare. Thereare leading examples of data sharing solutions across industry, clinical providers, insurance carriers, national health programmes and many other stakeholders. Yet many of these initiatives have differing stand
42、ards and often lack interoperabilityor scalability, which hinders the broad use of data by multiple parties. The lack of interoperability and standards is not necessarily intentional, but rather emergesfrom independent initiatives with myopic goals. Creating guidelines for datastandardization, techn
43、ical modalities and governance principles could allow forgreater collaboration amid differing incentives and objectives in data sharing models. Case studies in particular illuminate the value of standardizing structured data,ensuring data interoperability, and increasing patient participation and in
44、volvement.Focus area 1: Demonstrating value in the standardization of disparate data to determine genotype and phenotype relationshipTo understand the biology linking genes to observable traits that can enable apersonalized approach to diagnosis and treatment requires the analysis of many different
45、types of data originating from different sources. Standardization of data and moving from health data collected from one individual to collections frompopulations can further enable the volume of data needed to identify new genes and causal, pathogenic variants driving disease and improve diagnosis
46、andprecision treatment options at a population-level scale. As the incentives andobjectives of stakeholders are not always aligned, the upfront investment required to build the data infrastructure and governance to achieve this aim is difficult tosecure. There is little research on the return on inv
47、estment of sharing data, despite the moral good of providing targeted, personalized answers to individual patients.The full breadth of benefits and comprehensive return-on-investment of sharinggenomic data in order to deliver a precision medicine approach to healthcare has not been thoroughly invest
48、igated given the lack of data available. A recent paper published by the World Economic Forum entitled Global Data Access for Solving Rare Disease: A Health Economics Value Framework explores the metrics thatneed to be tracked to comprehensively measure the economic value of genomic data sharing for
49、 a rare disease use case.Case study 1.1: Undiagnosed Network (UDN) by United States National Institutes of Health (NIH)On average, it takes five to seven years to diagnose people living with a rare disease.1 To help shorten this length of time, often referred to as the diagnostic odyssey, the United
50、 States National Institutes of Health (NIH)created the Undiagnosed Program (UDP) in order to diagnose the most difficultundiagnosed cases.Due to the success of the UDP in providing diagnoses to previouslyundiagnosed rare disease patients, the programme expanded to 12 clinical sites across the US, in
51、cluding a singular coordinating centre, a sequencing centre, a model organisms screening centre, metabolomics centre and abiorepository, which make up the Undiagnosed Disease Network (UDN). Theobjectives of this programme are to: 1) improve the level of diagnosis and care for patients with undiagnos
52、ed diseases through the development of common protocols; 2) facilitate research into the etiology of undiagnosed diseases,by collecting and sharing standardized, high-quality clinical and laboratorydata, including genotyping, phenotyping and documentation of environmental exposures; and 3) create an
53、 integrated and collaborative research community across multiple clinical sites and among laboratory and clinical investigators prepared to investigate the pathophysiology of these new and rare diseases and share this understanding to identify improved options for optimal patient management. The UDN
54、 has created a “way of working” that includes not onlythe standardization of data shared, but also the standardization of operations, criteria to measure success, institutional review board (IRB) interactions,communications, publications and research guidelines, alignment for clinical and research p
55、rotocols, biospecimens protocols and a set of biobank guidelines.The UDN solves close to a third of cases that are otherwise undiagnosed in their network. Across the network, 96% of patients are sequenced.Furthermore, the genomic data from the UDN is shared through ClinVar, dbGAP and PhenomeCentral.
56、 Due to the success of the UDN model, it was adopted in part by Undiagnosed Disease Network International (discussed in further detail later in this paper). The UDN is solely funded by the NIH Common Fund until2022. To learn more, please click here.Case study 1.2: National Health Service (NHS) and G
57、enomics England (GeL)Established in 2013, Genomics England (GeL) is a national genomics initiative under the Department of Health and Social Care in the United Kingdom tasked with collecting 100,000 genomes as part of the well-known 100,000 Genomes Project. The national effort, established with inve
58、stments from the NationalInstitute for Health Research (NIHR), the National Health Service (NHS), the Wellcome Trust, Cancer Research UK and the Medical Research Council, had four principle aims: 1) to collect genomes focused on leveraging genomicsto improve diagnosis and care for people with cancer
59、 and rare disease in the NHS; 2) to create an ethical and transparent programme based on patientconsent; 3) to enable new scientific discovery and medical insights specifically through the identification of disease-causing genomic variants; and 4) to fuelthe development of a UK genomics industry. Th
60、e programme has alreadyresulted in identifying clinically actionable findings in 2025% of rare disease patients (and as many as 4050% in certain settings such as intellectualdisability and retinal disease) and in cancer identified as many as 50% of the patients as having potential treatment options
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