Monthly Archives: January 2017

Will Obamacare be Trump’d? (and does it really matter?)

On the 20th of January, a new president took office. Barack Obama graciously exited the White House handing the keys to the inbound Donald J. Trump. President Trump was a vocal opponent of the Affordable Care Act, (ACA), and had promised to reverse it once in office. 20558323 - close up of male doctor holding tablet pc with medical appWhat ultimately happens to President Obama’s signature piece of legislation is yet to be seen. It may be revamped or it may be scrapped altogether, but when it comes to technology adoption in healthcare, does it really matter?

To answer that question we need to look at a few other pieces of legislation as well as general trends in healthcare.

The first piece of legislation that is important is the Tele-Med Act of 2015. We detailed the implications of this bill in another post about a year ago.

In general, The Tele-Med Act of 2015 may just lower existing barriers to implementing telemedicine services, especially across state lines. Now, as it is a federal bill, it really only applies to Medicare currently, but it would set a precedent for other private insurance companies to follow and open up the boundaries that may currently prohibit them from offering services in neighboring states.”

Now that piece of legislation seems to be taking it’s time getting through committees, but there is one other important thing about the bill you should know. It was introduced by a Republican and there are 27 cosponsors of that bill with equal “D”s and “R”s following their names.

The second piece of legislation that may lend some insight into what the future role of technology in healthcare may be is the ECHO Act. ECHO stand for Expanding Capacity for Health Outcomes. This act became law on December 14th 2016, and it applies to examining how the use and integration of technology-enabled collaborative learning and capacity building models can impact better health outcomes. It would pave the way for technology like video teleconferencing and distance learning to be used to actually facilitate knowledge and resource sharing between healthcare facilities to better train staff and make more efficient use of limited resources and specialists. This bill also had bipartisan support when introduced.

Despite whatever political rhetoric and posturing seems to be going on, one thing seems clear. Both sides of the aisle agree that telehealth will be a large part of the solution to our healthcare problems. It will decrease costs, increase efficiency, and create access for those that may be in underserved or rural locales where the quality of care is not currently up to par.

Even if the ACA is scrapped, the trends towards using technology to allow healthcare professionals to share information more effectively and to connect doctor’s to patients for after care, follow up visits, counseling, etc will still continue due to bipartisan bills and laws that were passed apart from the ACA. The ACA does not impact the need for us to use technology to allow patients to self-manage their own care to drive the desired outcomes. However, creating solutions that are truly engaging for patients/families will have the highest impact on reducing costs.

One idea of reform needed to make plans more affordable is that of breaking down the invisible lines between the states when it comes to providing and billing for care. It would seem that telehealth would have a strong role in this scenario if implemented as well as a way to bridge the geographic gaps.

At the end of the day, an objective look at the types of healthcare bills that are being introduced and passed, illustrate that both sides of the aisle see technology as a way to make healthcare more affordable and to create better patient outcomes. Despite what reform or repeal happens with the ACA, it doesn’t seem like the new House, Senate, or President will “trump” that trend.

Avidex AV is revolutionizing the way healthcare facilities and doctors are delivering care. Their 20 years of experience is being leveraged to drive down the cost of care while promoting positive healthcare outcomes. Is your organization looking for a new kind of technology partner? Connect with one of our Account Executives today to learn more.






Anthony Paoletti

About Anthony Paoletti

Anthony brings over 23 years of audiovisual experience and has worn nearly every "hat" in the industry; from Consultant to End User; Account Representative to Install Technician; Project Manager to Systems Engineer. Contact Anthony at

Artificial Intelligence in Healthcare

If you are an avid follower of technology news, you can’t help but have heard the term “AI”. AI stands for Artificial Intelligence, a field of technology pioneered by Alan Turing when he created a machine to break the German’s Enigma Code during World War II. The end goal for those developing AI will be the creation of a sentient machine that can think like a human being. Needless to say, that is still a long way off. However, during the course of 2016, the field of AI saw many advancements and investments, and the large number of those were related to healthcare applications.33728200 - doctor is using tablet pc

Why is that?

“Machine learning is improving diagnostics, predicting outcomes, and just beginning to scratch the surface of personalized care.”

In order to understand exactly how technology can contribute to better patient outcomes, we need to look beyond the vision of the sentient robot and focus in on two very specific areas where AI can assist medical professionals today.

Predictive Analytics

The first area of AI that is immediately accessible to today’s healthcare professional is predictive analytics or the use of a computer to analyze large amounts of data to make recommendations on care or predict potential health issues before they arise. Analyzing data means that you must first be collecting it and providing access to the data to the system in question.

The proliferation of devices that collect patient data has already begun. There are wearables like the familiar Apple Watch or FitBit, but there are also implantable and ingestible medical sensors that can relay information on everything from blood sugar and oxygen levels to the frequency of asthma attacks in the varying quality of air. We put together a list of some interesting sensors last year, but one thing is for certain: The ability to collect and communicate patient health data is only increasing.

Of course the course of treatment is still determined by a living, breathing doctor, but having a relevant, data driven history of the patient’s health only makes that diagnosis and treatment plan better.

Deep Learning

Deep Learning takes over where predictive analytics stops. According to one definition,

“Deep Learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using model architectures, with complex structures or otherwise, composed of multiple non-linear transformations.” 

That definition, being as clear as mud, can really be boiled down to this. Deep Learning allows computers to analyze not only the data, but also to catalog the human responses to that data, allowing the computer to reach its own conclusions (learn).

Predictive analysis would say that a patient has high sodium that may lead to hypertension and should be assessed for cardiac health, where deep learning would go a step further and recommend potential treatments based on the treatment of other patients that fit the same profile.

Again, deep learning requires that both the data from the patient and the response of the physician are both accessible in order to draw these correlations. Again, deep learning is not a replacement for the experience and discernment of a physician, but can be helpful in situations where a doctor is not yet available. According to Forbes’ Bernard Marr, 30% of providers will use this type of technology by 2018. He even puts forth an example of a patient visit that leverages deep learning.

“Imagine walking in to see your doctor with an ache or pain. After listening to your symptoms, she inputs them into her computer, which pulls up the latest research she might need to know about how to diagnose and treat your problem.  You have an MRI or an x-ray and a computer helps the radiologist detect any problems that could be too small for a human to see. Finally, a computer looks at your medical records and family history and compares that with the best and most recent research to suggest a treatment protocol to your doctor that is specifically tailored to your needs.”

Now imagine the added benefit of the same technology to those in a remote location who need emergency care and are able to receive it via telemedicine.

In discussions on healthcare reform, there are always discussions about breaking down artificial barriers between patients and caregivers to deliver better and more efficient care. However, this may be one instance when adding an artificial layer, in the form of technology using artificial intelligence, may actually be of benefit to both the patient and the physician.

Avidex AV is revolutionizing the way healthcare facilities and doctors are delivering care. Their 20 years of experience is being leveraged to drive down the cost of care while promoting positive healthcare outcomes. Is your organization looking for a new kind of technology partner? Connect with one of our Account Executives today to learn more.







Jeff Miller

About Jeff Miller

Jeff has been working in the professional AV integration industry for over twenty years. During that time he has served as Designer, Project Manager and/or Account Executive for hundreds of projects. As an Account Executive at Avidex, he specializes in Medical, Education, and Control Rooms. He can be reached at