AI News, How health plans can achieve next artificial intelligence

The (A.I.) Doctor Will See You Now

You’ve done it before: Perhaps you have a weird rash or feel a little strange, something beyond the usual flu or back pain.

According to a BMJ study, online symptom-checking websites provide accurate diagnoses roughly half the time, amounting to millions of people worrying unnecessarily or, worse, breathing a sigh of relief when something’s actually wrong.

Belgian study presented last year at the European Respiratory Society International Congress demonstrated that AI can help pulmonologists diagnose lung disease by more accurately identifying symptoms and assessing lung function tests, which can be too small and subtle for human eyes.

“Supercomputers equipped with AI can provide alternative suggestions to medical professionals, which potentially cuts the amount of time it takes for a patient to be diagnosed and increases available treatment options,” Bridget Rooney, a health investigator with the Mesothelioma Cancer Alliance, told The Daily Beast.

Rare diseases can be tricky for AI because, according to Rooney, inaccuracies are more likely when there’s “not enough data or information to make a conclusive decision.” But even in those cases, AI could free up physicians to see patients with more pressing needs by separating those who can self-treat from those who need to seek in-person care.

“Individuals are presented with possible causes, a diagram illustrating the number of people who experienced the same symptoms and associated conditions, and relevant information to help them make more informed decisions about what to do next.” In a pilot study, 92% of UK health care providers found it “helpful” to receive information gathered by Ada before a patient visit, largely because the app saved them time in reaching a diagnosis.

Justin Sherman, co-founder of Ethical Tech, a nonpartisan initiative at Duke University, pointed out that “certain skin cancer predictors are terrible at making accurate predictions on darker skin, since most of the photos used to train the system, to teach it what to look for, are of white skin.

These questions of AI fairness are a serious ethical and policy matter, but they're especially of concern in healthcare.” That problem could be fixed over time with more data—the more use these apps get, especially across diverse populations, the more data they will collect and the better they’ll get at helping everyone.

Given doctor shortages, increased wait times for appointments, and skyrocketing costs, the health care systems in remote or ravaged areas, as well as countries like the U.S., resemble the one in the 2013 science fiction dystopia Elysium.

Written questions and answers

Distance learning offers excellent possibilities to open up choice and opportunity to people from a diverse range of backgrounds, including those from rural areas, and the government believes it should be widely available at a range of educational levels.

It will help individuals to respond to the changing labour market, redirect their careers and secure better, more secure jobs of the future.

Technological innovation and development, including in AI, will play an important part in improving the learning experience, design and effectiveness of online training.

Working closely with the technology industry we will look to innovate, test and develop ways in which technological solutions can directly answer the specific needs of NRS users alongside all learners.

Through recent HE reforms, we are working to support and encourage high quality new and innovative provision that has a strong offer for students, helping providers to navigate the regulatory system and we will continue to work with new providers to tackle any barriers that might arise.

For health plans, next-gen workers may be just as critical as next-gen technology

Many health plans are investing in next-generation technologies, but they might not yet have a strategy for building a next-generation workforce.

While 65 percent of respondents said they have a strategic plan and a vision for their workforce of the future, only 20 percent are making investments in talent models—either by implementing new recruiting strategies, sourcing new talent, deploying new staffing models or developing the skills of existing workers to meet future needs.

Along with investing in emerging technology, health plan leaders can benefit from reimagining the way work gets done and the type of workers they will need to ensure success in the years ahead.

As this future unfolds, here are five things health plan executives should consider: Health plan leaders who sit back and wait for the future of health to unfold might realize too late that their workers lack important digital skills, or that they can’t easily recruit the skills they need.

Use-Case Selection Will Make Or Break Your AI Strategy In Healthcare

The use of AI in healthcare has moved beyond just science fiction to actual practical applications of the technology in various pockets of the healthcare ecosystem.

Over the last several months, the Forrester healthcare team mapped AI leverage across different facets of the healthcare ecosystem and outlined the lessons learned from these success stories in our latest report, “How To Achieve The Healthcare Quadruple Aim With Artificial Intelligence.”

As the chatbot matures and use cases evolve, the health plan may leverage text analytics to support sentiment analysis or proactively reach out to members using the chatbot to drive behavior change and enroll them in specific wellness programs.

Early success starts with the right use case selection and will set the stage for driving adoption and enable expansion that allows your organization to scale and extract incremental value from this investment.

32 artificial intelligence companies building a smarter tomorrow

From Google and Amazon to Apple and Microsoft, every major tech company is dedicating resources to breakthroughs in artificial intelligence.

Meanwhile, revolutionary breakthroughs like self-driving cars may not be the norm, but are certainly within reach.  As the big guys scramble to infuse their products with artificial intelligence, other companies are hard at work developing their own intelligent technology and services.

By highlighting only the most relevant and interesting information, businesses can make quicker decisions regardless of the staff's experience with data or analytics.

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Using non-invasive blood tests, the company’s AI technology recognizes disease-associated patterns, providing earlier cancer detection and better treatment options.

Industry: Fintech Location: New York, New York What it does: AlphaSense is an AI-powered search engine designed to help investment firms, banks and Fortune 500 companies find important information within transcripts, filings, news and research. The technology uses artificial intelligence to expand keyword searches for relevant content.

Its LiDAR technology focuses on the most important information in a vehicle’s sightline such as people, other cars and animals, while putting less emphasis on things like the sky, buildings and surrounding vegetation.

By fusing problem solving, learning and memory technologies together, the company can build systems that learn and adapt without human assistance.

Called CARA A.I., the company's tech can search within the language, jurisdiction and citations of a user's uploaded documents and return relevant searches from the database.

Industry: Cloud, Robotics Location: Santa Clara, California What it does: CloudMinds provides cloud robot services for the finance, healthcare, manufacturing, power utilities, public sector and enterprise mobility industries.

Its cloud-based AI uses advanced algorithms, large-scale neural networks and training data to make smarter robots for image and object recognition, natural language processing, speech recognition and more.

The company's 'human-in-the-loop' platform uses human intelligence to train and test machine learning, and has powered AI projects for major companies like Oracle, Ebay SAP and Adobe.

From financial and insurance needs to travel and healthcare, the intelligent products perform duties and answer questions for tech support, billing, scheduling, purchases and policy information.

Industry: Big Data, Software Location: Mountain View, California What it does: Orbital Insight uses geospatial imagery and artificial intelligence to answer questions and gain insights invisible to the naked eye. Using data from satellites, drones, balloons and other aircrafts, the company can provide insights and forecasts to the agriculture and energy industries that normally wouldn’t be available.

Industry: Software Location: San Francisco, California What it does: OpenAI is a nonprofit research company with a mission to create safe artificial general intelligence (AGI). AGI aims to create machines with general purpose intelligence similar to human beings. With a focus on long-term research and transparency, OpenAI hopes to advance AGI safely and responsibly.

Sift uses thousands of data points from around the web to train in detecting fraud patterns. The technology helps payment processors, marketplaces, e-commerce stores and even social networks prevent fraud.

The company, which boasts a mission to eventually create machines that surpass human intelligence, has serious backing from tech titans like Mark Zuckerberg, Jeff Bezos and Elon Musk.

Industry: Software, Healthtech Location: Berkeley, California (US office) What it does: Zebra Medical Vision develops technology for radiology and medical imaging, enhancing the diagnostic abilities of radiologists while maximizing focus on patient care.

These algorithms will ultimately help medical professionals detect high-risk patients earlier and manage growing workloads with more accurate outcomes.

Spanning the agriculture, pharmaceutical and chemical industry, the company enables faster cultivation of microbes through automation software and a huge catalog of physical and digital DNA data.

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