The (E-) Doctor Is In: What Trends To Spot In Healthcare Technology Today
The (E-) Doctor Is In: What Trends to Spot in Healthcare Technology Today
“Disruptive technologies” are the trending watchwords du jour, a catchphrase that encapsulates the displacement of existing market models with change, innovation and upheaval, and this phenomenon is as relevant as ever right now in the field of healthcare and medicine.
Earlier in the year, three behemoth corporate players, who are not traditionally associated with Healthcare— Amazon, Berkshire Hathaway, and JP Morgan Chase— forged a partnership to leverage state-of-the-art healthcare technology to provide to their employees “simplified, high-quality and transparent healthcare at a reasonable cost.”
So what is in the cards for the ever-evolving face of healthcare technology today?
Artificial Intelligence
AI has transformed the way healthcare providers render their services and how patients experience their level of care, in areas such as clinical diagnostic accuracy, acute care rehabilitation, predictive disease analysis, hospital operations, and population health.
It is an area that is teeming with possibilities for growth: by 2035, workplace productivity is projected to spike by as much as 35 percent and surpass the $6 billion mark as AI continues to play an integral part in alleviating physician shortage and patient congestion, as well as adopting more optimal and precise treatment plans.
As patients increasingly want more control over personal healthcare decisions, AI, Deep Learning and digital image content analysis can be tapped to analyze and anticipate disease, devise optimal care approaches and design methodologies of diagnosis and treatment of medical malaise. Pathology and Radiology specialties are in the early stages of AI transformation.
Augmented Reality
Immersive technologies such as Augmented Reality (AR) can be a huge opportunity for advanced visualization for healthcare providers and their patients, with a projected market share of $90 billion by 2020.
For example, images from a real-world environment such as the OR can be embedded with computer-generated sensory input such as sound, video, and graphics, enabling surgeons to navigate their way around minimally invasive procedures or to develop 3D reconstructions of tumors without resorting to radiation exposure. Virtual apps have also been used to educate patients on the use of AEDs or defibrillators.
Wearables, IoT and Mobile Health Apps
The growing business of preventative care in the form of wearables—whether as part of corporate wellness programs or individual health and fitness markets—is expected to rise to $12.1 billion by 2021.
Remote health monitoring via wearables and mobile health apps could lead to a notable decrease in hospitalizations and ensure that those who need urgent care will have access to it more readily and with greater ease. For instance, the digital contact lens can be worn by diabetics to measure and maintain their blood sugar levels.
The advantages of wearables are diverse: they have user-friendly interfaces and boast of connectivity features such as wireless data transmission, real-time feedback, and alerting mechanisms, granting patients secured access to their health records and providing quicker diagnosis and treatment of conditions such as arrhythmia, asthma, and COPD.
Telemedicine
Although the words telemedicine and telehealth are likely to become obsolete within five years, the use of the latest technology advancements to provide healthcare to patients will become commonplace globally.
More on this here: https://goo.gl/Eo6jMi
More Posts from Techinfinity and Others
How Big Data Is Reshaping the Future of Music Industry
The music industry has needed a makeover for an extended period. With the advent of big data, it might revolutionise this sector and provide musicians with a more successful revenue model. It is undoubtedly one of the most significant technological shifts that the music industry has witnessed in decades.
Let’s explore how big data is contributing to the development of this industry: https://goo.gl/2ViTMS
Worth a read :)
Phew, reading this story was a trip.
TL;DR, this chinese hacker group (successfully) coerced chinese motherboard manufacturing plants into altering the designs for their motherboards to include a tiny chip- no larger than the tip of a pencil- so that they could have control over machines that were later assembled on top of these motherboards further down the supply chain.
Their targets appear to have been large tech corporations (Apple, Amazon were/are affected), as well as positions within the US government/military. Supposedly, no consumer data was stolen or affected.
This thing is so goddamn tiny, and yet it supposedly has the power to alter essentially any instructions that get passed from OS to CPU, as it acts as intermediary in between the RAM and CPU from what I understand. It has network access due to how it’s connected to the baseboard management controller, so it can call home for instructions on what code to run, since… it can do whatever it wants with the cpu, apparently? I’d love to see a more in-depth look into how this technology works, honestly.
Considering this doesn’t seem to affect end users at all, and mostly only has caused harm to large corporations and also the US government/military… my reaction to this is mostly a mixture of “lol” and “holy shit that sounds like something out of a goddamn action movie”.
Machine Learning with TensorFlow ☞ http://bit.ly/2qGo0MA
#TensorFlow #MachineLearning
IoT, Big Data, and Blockchain: A Combination to Achieve Maximum Business Efficiency
Big data, Internet of Things (IoT) and blockchain are witnessing a radical growth in their functions and practices as technologies advance. Simultaneously, innovations in electronics and wireless communication technologies have contributed excessive benefits to these platforms.
These developments have resulted in various advancements in the number of suitable electronic devices in many industries as well as reduced costs in the manufacturing process of these devices.
The merging of big data, IoT, and blockchain into a single system provides effective and secure predictive analytics. On the other hand, this combination will provide more benefits in each of their functions and practices, by giving assistance and support to each other.
Read More: Maximum Business Efficiency by combining IoT, Big Data, and Blockchain
Adam Greenfield on Connected Things & Civic Responsibilities in the Networked City
The next breakthrough for Cyber Command’s Unified Platform program will be a fully built software factory, a platform for consolidating applications and inventing new tools. This will help integrate and deploy analytical capabilities for the cyber mission force.
Besides consolidating, the platform will standardize the variety of big data tools used by Cyber Command and its subordinate organizations, including the Defense Information Systems Agency. The common platform will allow organizations to easily share information and build tools that can be used across the service cyber components leading to greater interoperability.
Gamification Tied to Business Needs
In 2002, a British programmer and inventor, Nick Pelling coined the term gamification in which the advent gaming concepts are introduced in real life to achieve better user interface design amongst electronic transactions.
Up to the year 2011, the gamification is not popular until Gartner realized the advantages of gamification and introduced the concept into his Hype Cycle list.
Gartner, a leading IT research organization, has predicted that more than 50 percent of the organization will be replaced with gamification in the future and will be implemented in almost every part of the life cycle.
In recent years, design features captured through gamification has bought notable changes in the field of academia as well as industry. However, due to the dearth in comprehensive understanding and lack of resources has made gamification to fail.
Full article here: Gamification tied to Business Needs
https://medium.com/@me_isbella/trends-in-entertainment-industry-c4131a39fd6a
The Stepping Stones for Decision Analysis and Optimization
While data analytics do help garner deep insights for smarter decision-making, the insights required varies based on the technology and the analysis approach and procedures used.
Businesses need to ensure that they have a business intelligence architecture or data warehouse that offers a convenient and multi-faceted analytical ecosystem optimized for effective analysis of diverse datasets.
Descriptive Analytics
Descriptive analysis is all about using the past performance, understanding its nature by mining the historical data to analyze the reason for a previously occurred success or failure. Descriptive models enable businesses to classify the prospects or parameters by consolidating relationships in data.
Diagnostic Analytics
An advanced level of analytics, diagnostic analysis, dissects the data to answer the reason behind a specific event. Methods used to characterize the data include data discovery, mining, drill down, and Read More
Source: APAC Business Intelligence
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