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大数据为医疗事业赋能

大数据为医疗事业赋能

大数据和人工智能能够帮助我们解决日益增长的护理人员短缺的问题。

1、大数据技术能够提供行而有效的解决方案吗?

大数据分析能够为精准施策带来深刻的变革。毕竟数据只是信息。例如,在大数据系统的帮助下,医疗健康领域能够得到极大的改善;电子病例(EHRs)就能给医疗健康供应商提供一种收集病患数据以及长期监测病患健康状况的方法。

先进电子病例系统的一个实例是面向全体印度公民发放的Aadhaar卡,这种卡储存了用户的健康信息。乌干达政府也在一个类似的项目中发布了居民身份证,这种便利的技术将会是中低收入国家精简医疗健康系统,向更多消费者提供医疗服务的好办法。

不可否认的是,现有的医疗健康供应商们正在努力解决网络安全问题。尽管大数据技术还处在初级阶段,但是它对医疗领域来说却是一个永久性工具。目前,世界上的医疗健康供应商们正在尽最大努力善用海量信息。

2、大数据从何而来?

信息时代, 每天产生的数据量相当惊人。现在,世界上大部分的财富都是以比特和字节来记录的。像亚马逊(Amazon)、谷歌(Google)以及 微软( Microsoft)这些科技巨头,为全球用于获取、存储和共享信息的框架提供了很大一部分支持。此外,个人拥有的每一份银行对账单和主要资产都记录在数据库的某个地方。

纵观历史发展,人们总是收集、储存与资产及个人有关的信息。现在,医疗服务提供商能够利用大数据系统进行有力且积极地改变,从而改善中低收入家庭的总体健康状况。

3、大数据技术如何助力医疗健康?

世界上有越来越多的人需要医疗健康服务,如同他们需要成功的机会一样。比如,在美国,快速增长的老龄人口使得医疗健康系统不堪税负,政客们就管理国家医疗网络的最佳方式展开了辩论。

与此同时,医疗服务提供商人才库正在缩小。为了解决问题,医疗健康系统的领导们正在研究人工智能,以简化医疗服务流程。最终,被人工智能赋能了的大数据技术可以扩大医疗服务供应商的覆盖面及有效性,以帮助解决全球专业医疗人员的短缺问题。

尽管现在医疗领域存在问题,但大数据技术在帮助医护人员提供健康服务方面还是大有改进的。例如,现在的医生必须通过侵入性操作(手术)来收集组织样本。然而,医学技术专家们预测,有一天人工智能可能可以消除对这种操作的需要。大数据系统与人工智能的结合终将强化医生们分析肿瘤的能力,作出准确诊断。如果成功的话,这项技术就能够像真实的生物组织样本一样提供准确且详尽的生物信息,这将对医学界会产生惊人的影响。譬如,医生们能够利用人工智能技术去了解癌症是如何对病患的整个身体产生影响的,而不是根据微小的组织样本作出治疗决定。

在遥远的未来,医学研究人员希望利用脑机接口更好地与病患进行沟通,医疗保健领域皆因这项技术的潜力而倍感振奋,因为它可以为伤者和病患提供一种帮助其快速康复的资源。

大数据技术的另一个重要的潜能是它可以降低护理成本。Accenture管理咨询公司预测,到2026年,医护人员能够通过人工智能技术将一年的运营成本降低到1500亿美元。利用这项技术,医疗机构能够通过分析数据获取更多改进的机会,这些数据是从病患的互联网连接医疗设备以及医护人员的信息网络中收集的。这将使得医疗组织降低成本,提升社区福利以及减少提供护理的成本。

随着医护人员更好地从病人数据中得到深刻启发,他们也学会了更好的治疗方法。这项技术能够全面提高医护人员服务质量。随着大数据技术领域的日益成熟,许多组织将受益于运营改善、成本降低以及社区健康状况好转。

大数据和人工智能有很多方法去解决日益增长的护理人员短缺问题。为了产生最大的影响,医护人员必须最大限度的利用大数据技术。例如,这些技术可以加速医疗技术框架的搭建,其范围从机器人手术助手到高度先进的诊断系统。

世界上的医疗保健供应商们也将利用大数据技术,使医保服务变得经济便捷,让那些缺乏医保待遇的人群能够享受有效服务。

文章选译自《CAN BIG DATA HELP PROVIDE AFFORDABLE HEALTHCARE?》,数据观/石煜倩(编译)

原文链接:

https://dataconomy.com/2019/02/can-big-data-help-provide-affordable-healthcare/

CAN BIG DATA HELP PROVIDE AFFORDABLE HEALTHCARE?

author : RYAN AYERS

Big Data and AI can help with the growing care provider shortage. Here is how and why.

One percent of the global population possesses 40-percent of all the world’s wealth, a persistent issue for which economists and politicians have debated about for some time. Economic inequality is a problem that’s plaguing nations around the world.

As part of the solution, economists and politicians would like to see financial prospects improve for lower-and middle-class households. However, there are researchers who don’t necessarily subscribe to this fix, as some nations have found other ways to reduce income disparities.

Meanwhile, many low-and middle-income families are struggling to maintain their health. Such is the case in the United States, where analysts estimate that the healthcare system wastes $765 billion per year.

For thousands of years, there’s been a substantial income gap between the rich and the poor. In 1975, for instance, the wealth of developed nations was 10 times that of developing ones. However, this statistic has improved somewhat over the last four decades. Yet, while income inequality in developing countries is decreasing, economic disparities in developed nations is on the rise, and around the world, 71-percent of adults have less than $10,000 in total wealth. In the interim, healthcare costs are rising beyond the means of many lower- and middle-class households.

Can Big Data Technology Provide Meaningful Solutions?

When presented the right way and to the right people, big data analyses can lead to impactful changes. After all, data is simply information. Case in point, the healthcare field could improve tremendously with the assistance of big data systems. Electronic health records (EHRs), for instance, give healthcare providers a way to collect patient data and monitor their health over time.

One example of an advanced EHR system is the Aadhaar card issued to all Indian citizens, which stores their health information. In Uganda, the government issues national ID cards in a similar program. This convenient technology would be a great way to streamline the healthcare system of low- and middle-income countries and make medical services available to a larger segment of consumers.

Today’s healthcare providers are admittedly wrestling with cybersecurity issues. Still, big data technology — although in its beginning stages — is a permanent fixture in the healthcare field. For now, the world’s healthcare providers are doing their best to make meaningful use of a large amount of complex information.

Where Does Big Data Come From?

In the current information age, the amount of data that’s generated every day is astonishing. Now, most of the world’s wealth is memorialized in bits and bytes. Technology giants, such as Amazon, Google and Microsoft, support a large portion of the framework that the world uses to acquire, store and share information. Additionally, every bank statement and major asset owned by individuals’ is recorded somewhere in a database.

Historically, mankind has always collected and stored information about assets and individuals. Today, care providers can use big data systems to make powerful and positive changes that can improve overall health outcomes for lower- and middle-income households.

How Can Big Data Technology Help?

A growing number of the world’s population needs healthcare services as well as opportunities to prosper. In America, for instance, the quickly expanding senior population is taxing the healthcare system, while politicians’ debate over the best ways to manage the nation’s healthcare network.

Simultaneously, the care provider talent pool is shrinking. As a solution, healthcare leaders are examining artificial intelligence (AI) as a way to streamline service delivery. Eventually, big data technology that’s supercharged by artificial intelligence could widen the reach and effectiveness of care providers, helping to make up for a global shortage of medical professionals.

Despite current issues in the field, big data technology is still helping care providers make considerable improvements in the delivery of healthcare services. For instance, today’s physicians must use invasive procedures to collect tissue samples. Medical technology experts, however, forecast that AI could one day eliminate the need for this. Big data systems, in unison with artificial intelligence technology, could one day enhance the ability of doctors to analyze tumors and make accurate diagnoses. If successful, the technology could provide the same accuracy and detailed information as real tissue samples. This would have astounding implications. For example, physicians could use AI technology to understand how cancer affects a patient’s entire body, rather than making treatment decisions based on a minuscule tissue sample.

In the distant future, medical researchers want to use a technology called brain-computer interfaces to better communicate with patients, and the healthcare community is excited about the potential of the technology as a resource for quickly restoring functionality for injured and sick patients.

Another important potential benefit of big data technology is that it can decrease the cost of caregiving. Accenture management consulting firm forecasts that care providers could use artificial intelligence to slash operational costs by $150 billion per year by 2026. Using the technology, healthcare organizations will be able to find many opportunities for improvement by analyzing the data collected from patients’ Internet-connected medical devices as well as healthcare provider information networks. This would allow organizations to cut costs, improve community wellness and lower the cost of providing care.

As care providers get better at extracting meaningful insights from patient data, they’ll also learn better ways to deliver treatment. The technology can potentially improve the quality of services across the care provider continuum. As the big data technology field comes of age, many organizations will benefit from operational improvements and lowered expenses, as well as improved community health outcomes.

There are many ways that big data and AI can help with the growing care provider shortage. To make the biggest impact, healthcare providers will have to leverage big data technology in every way possible. For instance, the technologies could fuel the frameworks for medical technologies that range from robotic surgical assistants to highly advanced diagnostic systems.

To date, the one-percent continue to possess nearly half of all global wealth. However, if the world’s governments were to mandate that employers pay all workers a reasonable living wage, many low-and middle-income families would have a better quality of life and increased access to healthcare. In the meantime, the world’s healthcare providers will do their best to bring care within the reach of underserved populations by using big data technology to make treatment more accessible.

注:《大数据为医疗事业赋能》来源于Dataconomy(点击查看原文)。数据观石煜倩/编译,转载请注明译者和来源。

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