Artificial intelligence (AI) and data science are rapidly developing in healthcare, as is their translation into laboratory medicine.These are the four areas that the authors consider that AI will have impact:
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Health care is perhaps today’s most divisive, territorial political issue. But many of the needed solutions are not partisan; they’re American. We are at a pivotal juncture. Spending on health care threatens every aspect of American society. The time for commonsense reform has arrived. All of us can play a part in driving badly needed reforms, both in the marketplace and in the policy world.
As a society, we should embrace a basic set of patient rights, including a right to obtain a timely quote for a shoppable medical service. Lawmakers should look at the price transparency trails blazed by Florida, New Hampshire, and Maine. The prerequisite of any free market is viewable pricing information—not just inflated charges, but the actual amounts of settled bills. New policies should ensure a level playing field to make the free market functional again, to cut the waste and restore competition to the marketplace.I disagree with the author. Competition it is not the tool for a fairer health care. Wishfull thinking will not drive us to an improvement.
Despite the political uproar surrounding the ACA, many citizens, including the legislation's opponents, acknowledged the need for some type of reform. Indeed, ACA antagonists were most effective raising the specter of how federal programming would worsen health care rather than boasting about prevailing arrangements. Poor service distribution, fragmented care, and uneven service quality had long characterized U.S. medicine. But policymakers and voters were primarily concerned about the uninsured and the exorbitant costs that ranked American health care as the world's most expensive. These flaws helped push the ACA over the finish line. And the program has thus far proven resilient, withstanding presidential and congressional contests as well as significant court challenges.Right now it seems that ACA is not enough. Let's wait and see.
The ACA built new rooms atop a defective, jerry-built edifice. The public option would have put the nation firmly on the path toward a nationalized, universal system by creating a government-managed plan and using regulations and mandates to enfeeble and eventually drive out private coverage. Readers can decide for themselves the wisdom of creating a centralized system. Nonetheless, because the ACA failed to secure fundamental, structural reform, it will be unable to rein in costs while also maintaining or improving the quality of care. Indeed, this narrative has illustrated how a fusion of public and private power constructed an institutionally tangled health care system that, even under the banner of comprehensive reform, policymakers were ultimately unable to rescue from the insurance company model.
Big data, and big data analytics, can be used at all three levels of health promotion and disease prevention – research, surveillance, and intervention – by:
-Allowing a more precise identification of at-risk populations, through a more comprehensive understanding of human health and disease, including the interaction between genetic, lifestyle, and environmental determinants of health;
-Enabling better surveillance of both communicable and non-communicable diseases; and
- Facilitating better targeted strategies and interventions to improve health promotion and
disease prevention.
Uno de los errores recurrentes de la izquierda es pensar que el populismo es la estrategia de los imbéciles, cuando la historia demuestra que no puede ser tan imbécil cuando consigue un éxito arrollador. Ya en Los orígenes del totalitarismo, Hannah Arendt explica que este tipo de estrategia está diseñada deliberadamente para desprender a la sociedad educada de sus recursos intelectuales y espirituales, convirtiendo a la población en cínicos o en niños, dependiendo del ego y el aguante de cada uno. Una doctrina del shock que precede a la escuela de Chicago y que ha sido característica de todos los totalitarismos contemporáneos, del nazismo alemán al estalinismo ruso, pasando por el fascismo italiano.En un mundo eternamente cambiante e incomprensible, las masas han llegado hasta el punto de que podrían, al mismo tiempo, creer todo o nada, pensar que todo era posible y que nada era verdad... Los líderes de masas totalitarios basaban su propaganda en la correcta premisa psicológica de que, en esas condiciones, uno podía hacer que la gente creyera la declaración más fantasiosa un día, y saber que si al día siguiente les dieran la prueba irrefutable de su falsedad, encontrarían refugio en el cinismo. En lugar de abandonar a los líderes que les habían mentido, clamarían que supieron en todo momento que la declaración era mentira y admirarían a los líderes por su agudeza táctica superior.
The best performing machine learning models predicted normal results with an AUROC of 0.90 or greater for 12 stand-alone laboratory tests (eg, sodium AUROC, 0.92 [95%CI, 0.91-0.93]; sensitivity, 98%; specificity, 35%; PPV, 66%; NPV, 93%; lactate dehydrogenase AUROC, 0.93 [95%CI, 0.93-0.94]; sensitivity, 96%; specificity, 65%; PPV, 71%; NPV, 95%; and troponin I AUROC, 0.92 [95%CI, 0.91- 0.93]; sensitivity, 88%; specificity, 79%; PPV, 67%; NPV, 93%) and 10 common laboratory test components (eg, hemoglobin AUROC, 0.94 [95%CI, 0.92-0.95]; sensitivity, 99%; specificity, 17%; PPV, 90%; NPV, 81%; creatinine AUROC, 0.96 [95%CI, 0.96-0.97]; sensitivity, 93%; specificity, 83%; PPV, 79%; NPV, 94%; and urea nitrogen AUROC, 0.95 [95%CI, 0.94, 0.96]; sensitivity, 87%; specificity, 89%; PPV, 77%; NPV 94%).This approach goes further than this book:
The essential element of access to healthcare overshadows the understanding that better health can only be achieved if accessed services are also of high quality. The Sustainable Development Goals spell this out quite clearly: “Achieve universal health coverage, including financial risk protection, access to quality essential health-care services and access to safe, effective, quality and affordable essential medicines and vaccines for all” (Goal 3, Target 8). Indeed, ensuring that healthcare services are of good quality is an imperative for policy-makers at all levels and an important contributor to health system performance.
The number of older inactive people who will need to be supported by each worker could rise by around 40% between 2018 and 2050 on average in the OECD area. This would put a brake on rising living standards as well as enormous pressure on younger generations who will be financing social protection systems. Improving employment prospects of older workers will be crucial. At the same time, taking a life-course approach will be necessary to avoid accumulation of individual disadvantages over work careers that discourage or prevent work at an older age; What can countries do to help? How can they give older people better work incentives and opportunities? This report provides a synthesis of the main challenges and policy recommendations together with a set of international best practices to foster employability, labour demand and incentives to work at an older age.And the WHO report message:
Dominant policy approaches such as increasing the statutory retirement age are often overshadowed by a lack of attention to two critical questions: firstly, are older workers in sufficiently good health to work longer? And secondly, does increasing the statutory retirement age have consequences, negative or positive, for the health of older workers?
These analyses find that population ageing is not, and will not become, a major driver of growth in health expenditures. Moreover, they suggest that in countries where age demographics are changing but the size of the older population is not yet large, the costs of improving coverage and access to services for older people is likely to be manageable and now is a good time to begin investing in the health system while the population is relatively young.
However, while population ageing will not become a main driver of health expenditure growth, policy choices related to how health services are delivered, the prices paid (or negotiated) for services, medicines and technologies, and volumes of care will ultimately determine health spending by age trends.
Contrary to some expectations, SHI in Europe has further expanded toward universal coverage, with access to health care considered a right based on either direct or indirect financial contributions. Indeed, Germany is now the only example in Europe where groups of the population can opt out from the main insurance system. And, since 2009, the overall population is required to be covered by either social or private insurance.
More than half the population is now overweight in 34 out of 36 OECD countries and almost one in four people is obese. Average rates of adult obesity in OECD countries have increased from 21% in 2010 to 24% in 2016, so an additional 50 million people are now obese. Despite a drive in the last decade to deal with increased obesity, more needs to be done amid sedentary lifestyles and an almost 20% increase in calorie supply – i.e. calories available for consumption – in the OECD over the past 50 years.So what?
The OECD identifies four categories of policies to tackle the problem and gauges the effect of three promising “policy packages” to help countries achieve greater impact and coherence in tackling the obesity epidemic. Food and menu labelling, regulation of advertising of unhealthy foods to children and the promotion of exercise, including by doctors and schools, are among the measures analysed.Most of the strategies requires a confrontation with the food industry, and governments usually try to avoid it. We'll see what happens.
