The history of our world’s health system has not seen a centralized drive for a single solution on the scale of our current COVID-19 vaccine development. From clinical trials and research to private funding and new technological breakthroughs, the information generated from vaccine research is creating a massive data overload that requires a robust analytics platform and artificial intelligence to effectively turn raw data into positive outcomes.
Data analytics will be vital in condensing the disparate data sources into a clean manageable dashboard for professionals to drive improvements. Once this initial data collection problem is overcome, artificial intelligence will be able to derive deep, predictive insights into vaccine development, thus speeding up the process and delivering better outcomes. (more…)
The return to the office is fraught with many challenges for employers. Unlike the NBA or NHL, the vast majority of offices cannot isolate within a “bubble,” so companies must plan for the new normal of working around COVID-19. The most effective way for employers to avoid a breakout is by utilizing effective PPE and social distancing measures. These measures include mandatory mask use in the office, increased desk separation, and rotational in-office schedules.
Beyond PPE and social distancing, there will be a demand for health testing and contact tracing. Both of these preventative measures will require robust data capabilities in order to process the massive influx of employee data. In addition, companies will need to focus on data governance to properly manage the sensitive health information that is collected.
As the country moves back into the office, employers must strike a delicate balance between staying informed of health risks and maintaining employee privacy. Let’s first dive into the need for and benefits of employee testing and how data analytics can improve office safety. (more…)
The COVID-19 pandemic has sent shockwaves through the medical community by putting extreme stress on the information technology capabilities of health systems. Before March, hospitals were moving slowly in the direction of data literacy and EHR flexibility, but the health crisis has drastically increased the need for health systems to be able to take in and interpret large amounts of population data. The turn towards data literacy has been dramatic and sudden. Here are the specific ways strong data analytics can be used to combat the pandemic.
A pandemic lights the fire for change at a health system in a way that no other entity could ever accomplish. For years, experts have been calling for greater data integration and implementation across health systems. Now that caregivers have been forced to socially distance themselves from patients, the call has been answered in ways that were previously unheard of in the world of health data analytics and telehealth communication.
The prevalence of smarter and more data literate hospitals means that patients receive a safer and more personalized experience with healthcare. But let’s back up a minute to see how health systems have changed in the last four months and how data integration is key to all of these initiatives.
Around 2004, the term “Web 2.0” began to take off as a way of describing a foundational shift in the way that users interacted with the Internet. Web 1.0 describes the static interface of the 1990s with its lack of interoperability and sites mostly connected by hyperlinks. This was turned on its head with the rise of sites that were interoperable, easy-to-use, and promoted user content. This transformation, in conjunction with hardware changes like 2005’s iPhone, stimulated the growth of social media sites and apps. (more…)
In the world of value-based reimbursement, health system CFOs are finding it harder and harder to deny the cost-saving and quality improvement opportunities of health IT outsourcing. According to a Zion Market Research, this market is expected to reach $73 billion by 2024 with a CAGR of 6.5%.
Along with value-based incentives to drive down costs, the health IT outsourcing market will be driven by a widespread lack of IT infrastructure and trained professionals in the healthcare space. Let’s take a look at the benefits, process, and challenges facing this growing industry.
Technology has decreased the distance between people. Outsourced manufacturing has brought together the global economy, Facebook and WhatsApp make it simple to have a conversation with a friend across the globe, and Google makes the spread of ideas across oceans instantaneous.
These trends have also greatly impacted the healthcare industry by shrinking the gap between patients and providers. Telehealth services – while still relatively uncommon – have increased in use over the last several years according to researchers at the Harvard T.H. Chan School of Public Health. Let’s examine the rise of telehealth and how analytics can improve the experience for both patients and providers.
The process of implementing a data analytics solution into an organization can be time-consuming and costly. Once an analytics platform is in place, employees must learn to use the technology. However, it seems the largest stumbling block in the data integration process is not so easily defined.
A surprising development arose from the 2019 Big Data and AI Executive Survey conducted by NewVantage Partners. While many organizations are increasing their investments in analytics, there are many stumbling blocks. And the biggest challenge to analytics success: people.
B2B payment structures have been thrown into flux by recent developments in transaction technology. Most notably, blockchain algorithms offer a safe and efficient way of trading goods and their recent rise in popularity speaks to their viability in this space going forward.
Blockchain algorithms supplant the role of a central bank or government backing to support the virtual coins that they create. This technology has been a rapidly expanding field for major corporations, especially B2B distributors. A 2018 study found 82 of the Fortune 100 companies have begun researching or investing money into blockchain technology. Mastercard, Visa, and J.P. Morgan have launched blockchain networks to ease B2B transactions, especially cross-border payments. With the technology becoming more available, let’s dive into the benefits of blockchain technology for B2B distributors.
Over my last several blog posts on artificial intelligence, I’ve taken a look at the massive upside for distributors that the technology promises. But with these steps forward in business efficiency comes huge steps back in labor and employment.
The robotics and cognitive automation spoken of by Sergi Mesquida will be the largest contributor to job loss for distributors in the future. This label encompasses the robots used in car manufacturing, telemarketing, and the driverless cars threatening the trucking industry. These concerns are existential for many areas of the country and have been garnering serious attention in the upcoming debate for the 2020 election. Let’s take a look at some of these concerns.