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With New Healthcare Tech Relying on Data Sharing, Trust is Required 

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Doctor showing senior patient how to synchronize health app in smartphone and smartwatch

By AI Trends Staff  

On the verge of a new era of healthcare in which AI can combine with data sharing to deliver many new services, healthcare organizations need to earn the trust of patients that their data will be used properly. 

That was a message delivered by speakers on healthcare and AI topics at the Consumer Electronics Show held virtually last week.  

Christina Silcox, Policy Fellow at the Duke-Margolis Center for Health Policy

Issues related to data bias and explainability surfaced quickly.  A major issue with machine learning recommendation systems is the inability for it to explain how it came to the suggestion, said Christina Silcox, Policy Fellow at the Duke-Margolis Center for Health Policy, in a session on Trust and the Impact of AI on Healthcare. “We don’t know how the software looks at the input and combines it into a recommendation. It finds its own pattern. There is not a way for it to communicate how it came to the decision. Work is being done on this,” she said. “But now even the developer does not know how the software is doing what it’s doing.”  

In addition, some wellness technology incorporating AI may not have FDA approval as a medical device. The CARES Act of 2020 removed some devices from FDA oversight. Also, software may rely on company trade secrets that the firm may not be willing to share, making it more challenging to understand how the software works. “This information can be critical to patient trust,” she said. 

Also, an evaluation of a wellness device using AI and data needs to cover what training data was used to represent the population, and what subgroups were included. Also needed is an evaluation of the software over time, “to make sure it’s still working,” she said.  

Interoperable Medical Software Systems Elusive  

Jesse Ehrenfeld, Chairman, Board of Trustees of the American Medical Association

Interoperability was an issue cited by Jesse Ehrenfeld, Chairman, Board of Trustees of the American Medical Association (and a Commander in the US Navy). “Algorithms that work at a children’s hospital may not work in an adult hospital, he said. “Understanding the context is critical.” He noted that these discussions with medical device-makers are challenging. Ehrenfeld recommended, “Having good clinicians have input into the development of these systems and tools is critical.” The AMA has tried to facilitate such discussions and has been having some success, he said.  

Regarding data bias, Ehrenfeld said, “All data is biased; we just might not understand why.” It could be that it does not represent the larger population, or that the way it was captured introduced bias.   

In a final thought, Silcox said, “As a nation, we have to strengthen our healthcare data, and put a focus on standardizing healthcare data, making sure it is interoperable. That is the key to improving AI in healthcare.”   

Patient Data Sharing for Telemedicine Requires Transparent Practices 

The pandemic era has ushered in increased use of telemedicine and with that, necessary data sharing. One supplier of wellness products said the company is very tuned into data privacy. “With us, privacy is number one. We look at it as the patient’s data and not our data,” said Randy Kellogg, President and CEO of Omron Healthcare, in a CES session on The Tradeoff Between Staying Secure and Staying Healthy. “We need permission to look at the patient’s data. We try to be transparent with people about how their data is going to be used in a telemedicine call,” he said.  

Among Omron’s products is HeartGuide, a wearable blood pressure monitor in the form of a digital wristwatch, and a Bluetooth scale and body composition monitor. Data from these are pulled together in the company’s VitalSight remote patient monitoring program, with the goal of preventing heart attacks and strokes. Based in Kyoto, Japan, the company has been in business for over 40 years and offers products in 110 countries and regions. Asked by moderator Robin Raskin, founder of Solving for Tech, if patients are sharing their data more, Kellogg said, “Yes. It was happening before the pandemic and now more so. People are updating their data to the platforms.”  

This trend of more health data sharing during the pandemic era was confirmed by Dr. Hasson A. Tetteh of the US Navy, an AI strategist who holds the position of Health Mission Chief with the DoD Joint AI Center. “We are dogmatic about security and privacy,” he said. “In the pandemic era, there has been a need to get more information from people than they may have been accustomed to, for the public good.”  

Discussion turned to whether the HIPAA Privacy Rule regulating the use or disclosure of protected health information, which first went into effect in 2003, is out of date. “HIPAA is a bit dated,” Dr. Tetteh said. “Policy often lags rapid technology advances.” He said the DoD has “policy engineers” who work to keep patient information safe and secure. “We are all in the business of protecting patient safety and privacy, and we are using technology to do that,” he said. He noted that the DoD has issued AI principles on ethical applications. (See AI Trends coverage.  

Humetrix Stores Patient Data Locally, Not in the Cloud 

Humetrix has been offering healthcare applications on consumer-centered mobile devices for 20 years. The company’s approach is to store patient data on a local device and not in the cloud, said Dr. Bettina Experton, president and CEO. “We still take advantage of AI algorithms in the cloud, but we don’t store personal information in the cloud. We call it ‘privacy by design’ architecture,” she said. The key to good security procedures to protect patient data is access control, she said.  

Nicole Lambert, President, Myriad Genetic Laboratories

Technology advances are enabling an approach to healthcare called precision medicine, which takes into account individual variations in genes, environment and lifestyle. Exemplifying this trend are the products of Myriad Genetic Laboratories, a 30-year-old company that has concentrated on the role that genes and proteins play in disease. The company’s surveys show nearly 80% of people do not have a good understanding of precision medicine and genetic testing, said Nicole Lambert, president of Myriad, in a CES session on Essential Technology for the New Health Revolution. 

As a result, the company is focusing its efforts today on a specific target: women. “Pregnancy, cancer and mental health are the areas we are trying to impact the most,” said Lambert. She gave the example of the trial-and-error approach of prescribing antidepressants. “It’s 50-50 that the medicine will work,” she said. “The promise of precision medicine is to get the patient the right medicine at the right time,” improving the chances the prescription will be effective.  

For detecting ovarian cancer, Myriad’s genetic tests can give each patient a level of risk, such as 36%, 57% or 87% risk. “We also give a five-year risk, allowing patients to put things in perspective,” she said. For instance, the first-year risk might be three percent while the lifetime risk might be 57%. “It helps people make decisions about their healthcare, she said, adding, “Precision medicine will only get more accurate over time.”  

Learn more at  Consumer Electronics ShowOmron HealthcareHumetrix and Myriad Genetic Laboratories. 

Source: https://www.aitrends.com/healthcare/with-new-healthcare-tech-relying-on-data-sharing-trust-is-required/

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Digital ID Verification Service IDnow Acquires identity Trust Management AG, a Global Provider of ID Software from Germany

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IDnow, a provider of identity verification-as-a-service solutions, will be acquiring identity Trust Management, a global provider of digital and offline ID verification software from Germany.

IDnow confirmed that it would continue to maintain identity Trust Management’s Düsseldorf location and will retain its employees as well.

The acquisition of Identity Trust Management should help IDnow with further expanding into new verticals while offering its services to a larger and potentially more diverse client base in Germany and other areas.

The combined product portfolio will aim to provide comprehensive ID verification methods, ranging from automated to human-assisted and from being purely online to point-of-sale. All these ID verification methods will be accessible through the IDnow platform.

Identity Trust Management has established its operations in Germany’s identity industry during the past 10 years, with a solid reputation and portfolio of clients focused on telecommunications and insurance services.

Andreas Bodczek, CEO at IDnow, stated:

“Identity Trust Management AG has built an impressive company both in terms of product portfolio and client relationships. We have known the leadership team for years and have established a partnership rooted in deep loyalty and mutual understanding. We are excited to welcome identity Trust Management AG’s talented team to the IDnow family and look forward to combining the strengths of both companies to create a unified, market-leading brand.”

Uwe Stelzig, CEO at identity Trust Management AG, remarked:

“This combination unites the power of IDnow’s innovative technology with identity Trust Management AG’s diverse set of capabilities to create a differentiated identity verification platform. Together, we will be well-positioned to achieve our joint vision of providing clients with a unique, one-stop solution for identity verification.”

This is reportedly IDnow’s second acquisition in just the past 6 months following that of Wirecard Communication Services in September of last year.

As covered in December 2020, the European Investment Bank (EIB) had decided to provide €15 million of growth funding to Germany-based identity verification platform, IDnow. Founded in 2014, IDnow covers a wide range of use cases both in regulated sectors in Europe and for completely new digital business models worldwide.

The platform allows the identity flow to be adapted to different regional, legal, and business requirements on a per-use case basis.

As explained by the IDnow team:

“IDnow uses Artificial Intelligence to check all security features on ID documents and can therefore reliably identify forged documents. Potentially, the identities of more than 7 billion customers from 193 different countries can be verified in real-time. In addition to safety, the focus is also on an uncomplicated application for the customer. Achieving five out of five stars on the Trustpilot customer rating portal, IDnow technology is particularly user-friendly.”

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Source: https://www.crowdfundinsider.com/2021/03/172910-digital-id-verification-service-idnow-acquires-identity-trust-management-ag-a-global-provider-of-id-software-from-germany/

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China five-year plan aims for supremacy in AI, quantum computing

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China’s tech industry has been hit hard by US trade battles and the economic uncertainties of the pandemic, but it’s eager to bounce back in the relatively near future. According to the Wall Street Journal, the country used its annual party meeting to outline a five-year plan for advancing technology that aids “national security and overall development.” It will create labs, foster educational programs and otherwise boost research in fields like AI, biotech, semiconductors and quantum computing.

The Chinese government added that it would increase spending on basic research (that is, studies of potential breakthroughs) by 10.6 percent in 2021, and would create a 10-year research strategy.

China has a number of technological advantages, such as its 5G availability and the sheer volume of AI research it produces. This is one of the few countries where completely driverless taxis are serving real customers. In that light, the country is really cementing some of its strong points.

However, this may also be a matter of survival. US trade restrictions have hobbled companies like Huawei and ZTE, in part due to a lack of cutting-edge chip manufacturing. The US also leads in overall research, and the Biden administration is boosting spending on advancements for 5G, AI and electric cars. As experienced as China is in some areas, it risks slipping behind if it doesn’t counter the latest American efforts.

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Source: https://www.engadget.com/china-five-year-plan-for-technology-225618577.html

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How Machine Learning is Being Applied to Software Development

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When Elon Musk proposed the idea of autonomous vehicles, everyone assumed it to be a hypothetical dream and never took it seriously. However, the same vehicles are now on the roads, being one of the top-selling cars in the United States.

The applications of artificial intelligence and machine learning are visible in all areas, from Google Photos in your smartphone to Amazon’s Alexa at your home, and software development is no exception. AI has already changed the way iOS and Android app developers work.

Machine learning can enhance the way a traditional software development cycle works. It allows a computer to learn and improve from the experiences without the need for programming. The sole purpose of AI and ML is to allow computers to learn automatically.

Moreover, being a software developer, you might need to specify minute details to let your computer know what it has to do. Developing software integrated with machine learning can help you make a significant difference in your developing experience.

Machine Intelligence is the last invention that humanity will ever need to make!

When it comes to how machine learning and AI help developers, only the sky’s the limit. Taking it even broader, AI has always transformed every industry it has ever entered. Here’s a quick rundown of stats that convey the same:

As the figures stated, artificial intelligence and machine learning are surely transforming the world, and the development industry is no exception. Let’s have a look at how it can help you write flawless code, deploy, and rectify bugs.

AI and ML in Development – How Does This Benefit Software Developers?

Whether you’re a person working as an android app developer or someone who writes codes for a living, you might have wondered what AI has in it for you. Here’s how developers can harness the capabilities of machine learning and AI:

1. Controlled Deployment of Code

AI and machine learning technologies help in enhancing the efficiency of code deployment activities required in development. In the development spectrum, the deployment mechanisms include a development phase where you need to upgrade your programs and applications to a newer version.

However, if you fail to execute the process properly, you need to face several risks including corruption of the software or application. With the help of AI, you can easily prevent such vulnerabilities and upgrade your code with ease.

2. Bugs and Error Identification

With the advancements in Artificial intelligence, the coding experience is getting even better and improved. It allows developers to easily spot bugs in their code and fix them instantly. They don’t have to read their code, again and again, to find potential flaws in their code anymore.

Several machine learning algorithms can automatically test your software and suggest changes.

AI-powered testing tools are certainly saving a plethora of time to developers and help them deliver their projects faster.

3. Secure Data Storage

With the ever-growing transfer of data from numerous networks, cybersecurity experts often find it complex and overwhelming to monitor every activity going on in the network. Due to this, there might be a threat or breach that may go away unnoticed, without producing any alerts.

However, with the capabilities of artificial intelligence, you can avoid issues such as delayed warnings and get notified about bugs in your code as soon as possible. These tools gradually lessen the time it takes a company to get notified about a breach.

4. Strategic Decision Making and Prototyping 

It’s a habit for a developer to go through a hefty and endless list of what needs to be included in a project or code they’re making. However, technological solutions driven by machine learning and AI are capable of analyzing and evaluating the performance of existing applications.æ

With the help of this technology, both business leaders and engineers can work on a solution that cuts down the risk and maximizes the impact. By using natural language and visual interfaces, technical domain experts can develop technologies faster.

5. Skill Enhancement

To keep evolving with the upcoming technology, you need to evolve with the advancement in technology. For the freshers and young developers, AI-based tools help them to collaborate on various software programs and share insights with fellow team members and seniors to learn more about the programming language and software.

Parting Words

While machine learning and AI simplify numerous tasks and activities related to software development, it doesn’t mean that testers and developers are going to lose their jobs. A hired android app developer will still write codes in a faster, better, and more efficient environment, supported by AI and machine learning.

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Future of Mobile Apps: Here’s Everything that’s Worth the Wait

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@devansh-khetrapalDevansh Khetrapal

Devansh writes all about tech. He mainly talks about AI, Machine Learning and Software Development.

This year has been really rough on everyone and I guess we’ve seen enough of that already, but what we’ve also seen during this period are some amazing technological inventions. With phones, however, it’s kinda gotten boring. 

Every year the mobile users are excited because of the new Snapdragon processors and other bleeding-edge specs that these devices are pumping so they can insanely outperform the previous generation smartphones, but are the mobile apps in these phones evolving as congruently?

From the most interactive social media and messaging apps like Facebook, Instagram, WhatsApp, etc, it seems like there isn’t anything beyond that. So what’s next? Well, that’s exactly what we’re going to talk about.

Here’s the Future of Mobile Apps

When we say future of mobile apps, we don’t completely mean that these technologies aren’t already here. In fact, several of these are being incorporated right now. It’s just that these are in their primitive stages of development.

Here they are:

IoT (Internet of Things)

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It’s projected that by 2023, the global spending on IoT technology will be $1.1 trillion. Through Machine Learning and integrated Artificial Intelligence (AI), it has the potential to not just enable billions of devices simultaneously but also leverage the huge volumes of actionable data that can automate diverse business processes.

What does this entail for the future of mobile apps? Well, get ready to be able to control your car, thermostats, and kitchen appliances through your mobile devices. The IoT is being presently used in Manufacturing, Transportation, Healthcare, Energy, and many other industries.

Artificial Intelligence

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AI will single handedly change the future of mobile app design.

Mobile apps are coded to operate within the constraints of certain parameters, the implications of which have to be predefined. Simply put, if you’re browsing for a homestay on Airbnb, the results you see are based on predetermined parameters like your location, your size, and amenity requirements.

Those predetermined parameters, with the assistance of AI, can evolve to a point where you’ll be able to get results based on your preferences that it learned along the way, such as the kind of accommodation you usually prefer, the kind of facilities you need, and may even suggest you buy a place because your favourite restaurant is nearby. 

Augmented Reality (AR) / Virtual Reality (VR)

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AR and VR are attracting a high amount of investments and are forecasted to reach $72.8 billion by 2024. We can already see their success in the gaming and entertainment industry with Pokemon Go, Sky Siege, Google Cardboard, iOnRoad, and Samsung Gear VR.

Brands like Jaguar Land Rover and BMW have already started using VR to conduct design and engineering evaluation sessions to finalize their visual design before they spend any money on manufacturing the parts physically.

Gradually, you’ll be able to make more immersive simulations that can revolutionize any form of architecture involved in it.

Cross-Platform Development

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The future of mobile apps will definitely make native app development obsolete. Currently, React Native offers exceptional flexibility while developing Android and iOS apps. This will save tons of time since you won’t have to develop 2 separate apps.

More importantly, cross-platform app development will eliminate the downside of having to compromise on certain nuanced features. All of this will gradually make the app development process a lot cheaper, simpler, and time-saving.

5G

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Imagine if you could download an entire Netflix series in about 10 seconds. That’s how great the potential of 5G is. Theoretically, it has the potential to reach speeds of 10 Gigabits per second and not just high speeds, but low latency. Even in its infancy, we can witness 5-6 Gigabits per second on our smartphones in the US.

Speaking of the future of mobile apps, well, fast internet would mean faster download and upload speeds, which changes everything from Augmented and Virtual Reality, IoT, supply chain, transportation, smart cities, because everything can happen in real-time because of the latency of merely 2 – 20 milliseconds.

Blockchain

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Blockchain is a term being thrown around a lot lately. Well, it’s a technology that allows data to be stored globally on thousands of servers. Now because it’s decentralized, completely transparent, and immutable, it becomes difficult for one user to gain control over the network.

This means that it’s almost impossible for anyone to hack into blockchain and make changes. The future of app development depends highly on blockchain technology because of its ability to deliver highly secure mobile apps.

Wearable Devices

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You see wearables, or “smartwatches”, being popularly used as fitness bands these days. They’re smart in the sense that they’re able to tell you your heart rate, blood oxygen, count steps, are able to notify you in case of irregular heart rhythms. And of course, it does tell time.

The tech, when combined with IoT, opens up so many doors. Be it checking appointments, making calls, sending messages, getting reminders, it’s just scratching the surface. This tech has a huge potential to evolve and can eventually eliminate the need to use a smartphone. 

Wrapping Up

It’s pretty assuring that the future of mobile apps is ridiculously exciting. We can only imagine how the user experience is going to unfold. 

Be it data visualization with the help of VR and AR, or maximization of convenience with the help of wearables, they’re all going to bring about a massive change in the mobile app development trends. Hopefully, we’ve helped you scratch that itch of curiosity and you got to learn about how our interaction with the world is about to change.

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