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Are Security Certifications Needed to Simplify the Acquisition Process?

Posted on January 20, 2017 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

I’m generally someone who hates certifications. However, I hate them because they’re often implemented poorly and easily gamed. When they’re implemented effectively, they can be extremely helpful. Think about all the safety certifications that electronics have you go through. I’m sure they’ve saved our lives and saved our houses getting burnt down many times over.

I’ve wondered if a security certification would be useful for healthcare IT applications. Certainly it wouldn’t be perfect (security never is), but it could serve as a baseline security check that would help healthcare organizations with their acquisition process.

The reality is that many organizations don’t properly vet the healthcare IT applications they purchase for security. They aren’t consistent and they have limited resources. A security certification in theory would spread the costs of certifying a healthcare application’s security across a large number of organizations and thus save everyone money.

The key to this certification is not to have it as a kind of pass/fail certification. Sure, you want to say that it meets a certain standard of security, but more importantly it would also create a report on what type of security was implemented for that software.

Take encryption for example. Every healthcare organization looks for encryption. A security certification could ensure that the software system has implemented certification appropriately and also describe how the encryption was implemented. Is it end to end security encryption. Do they encrypt the data at rest? What about encryption of the data being stored on the customer’s device? etc etc etc

One challenge with this idea is that CIOs, health IT companies, and other technology professionals can become over reliant on certifications. It would have to be clear that the security certification was just a baseline and not a 100% foolproof way to secure your IT software. This is a challenge since health IT sales reps are going to position a security certification as such. It would take some effective marketing for people to know that the security certification could save them time in their security analysis of a new health IT software purchase, but wasn’t the end all be all.

I imagine some people would argue that this type of certification and details about how an organization or software company implements their security would be a treasure trove for hackers. Certainly you’d have to be careful with what you share and how you share it. However, most of the details are things that a good hacker could figure out anyway.

As it is today, health IT companies just say they’re HIPAA compliant (whatever that means) and many healthcare CIOs are floundering with limited resources for evaluating the security of the applications they buy. A security certification could help them make some headway on this I think.

Done the right way, a security certification could help set a new bar for how vendors approach security. That could be a very good thing. Of course, if not updated regularly and effectively, it could also require a bunch of hoop jumping that doesn’t provide real value. It’s a tricky challenge.

Healthcare’s Not Good At Mining Health Data

Posted on January 13, 2017 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

I was really blown away by this quote from an interview with Rebecca Quammen.

The buzz around data analytics promotes the need for data scientists and data analysts as among the most sought-after roles, and that is problematic in and of itself. It’s creating a huge demand, but it’s also a demand that many healthcare organizations don’t know how to deal with right now. I see the buzz around data analytics increasing the pressure to “do something” with data, but many organizations across the nation, both large and small and in every setting of care, simply don’t have the foundational knowledge to manage the data to their benefit, and to know the database structure and how to get it the data out and what the data tells them when they get it. We are not an industry historically good at mining good, rich data out of products and doing something meaningful with it. We do traditional reporting and we may do a little bit of historical reporting, but we’re not good at looking at data to predict and promote and to work toward the future, or to see trends and do analysis across the organization.

Rebecca nailed this one on the head. I’ve seen a bunch of organizations go running towards healthcare informatics with no idea of what they wanted to accomplish or any sort of methodology for how they’re going to analyze the data to find useful insights. It kind of reminds me of the herd mentality that happens at conferences. If any sort of crowd starts to build at a conference, then the crowd quickly grows exponentially as people think that something interesting must be going on. The same seems to happen as healthcare organizations have run towards data analytics.

While I think there’s so much potential in health data analytics, I think that most organizations are afraid to fail. The culture in healthcare is “do no harm.” There are some very good reasons for this and some real fears when it comes to medical liability. There’s a lot more at stake when using data in healthcare than say Netflix trying to predict which shows you might be interested in watching. If Netflix gets it wrong, you just keep scrolling after some minor frustration which you quickly forget. In healthcare, if we get it wrong, people can die or be harmed in some major way.

I understand why this healthcare culture exists, but I also think that inactivity is killing as many or more people than would be damaged by our data mistakes. It’s a challenging balance. However, it’s a balance that we must figure out. We need to enable more innovation and thoughtful experimentation into how we can better use health data. Yes, I’m talking beyond the traditional reporting and historical reporting which doesn’t move the needle on care. I’m talking using data to really impact care. That’s a brave place to be, but I applaud all of those brave people who are exploring this new world.

Indecision in Upgrading Infrastructure – Blamed on Meaningful Use

Posted on January 6, 2017 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

In a conversation I had with Steve Prather, CEO at Dizzion, he made a really interesting observation about meaningful use causing delays in upgrading infrastructure at many healthcare organizations. It’s not hard to see how spending millions, hundreds of millions or even billions of dollars on EHR and related services in order to meet the meaningful use requirements could cause budget cuts in other areas like upgrading infrastructure.

Of course, the opposite can be true as well. I know when we first implemented an EHR, a good portion of the EHR budget was to upgrade some of the infrastructure needed to support the new software. I’m sure that probably means that some infrastructure benefited from the EHR upgrade and meaningful use, but I’m sure some infrastructure spending also got cut or delayed.

In my conversation with Steve he went on to observe that much of the hardware in healthcare organizations had gotten so old, indecision and delays were no longer a choice. Having talked to many CIOs, they feel this in their organizations. While many CIOs want to move on to more strategic efforts, there’s still a big part of any CIOs job that requires them to maintain and upgrade their IT infrastructure. Although, it seems that many of them are looking to push this responsibility off to a kind of IT COO position.

I’ll be interested to watch and see how these organizations approach their infrastructure upgrades. Will most continue to do all the work in house or will they start to outsource this essentially commodity task to an outside company? There’s a really interesting case for why organizations should outsource this work as opposed to continuing to do it in house. All of this points back to the CIO becoming a vendor management organization.

Has your infrastructure upgrades been delayed by meaningful use? Is your organization looking to finally upgrade or is MACRA going to delay things further?

Top Hospital EMR and EHR Blog Posts for 2016

Posted on December 30, 2016 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

It’s that time of year when you look back at the past year and think about what you’ve accomplished. At Hospital EMR and EHR, we like to look back at the stats for the top blog posts we’ve published. It’s always interesting to see what’s resonated with people. Plus, it’s interesting to see how things have changed since we’ve posted on a topic. So, without further ado, here’s a look at the top blog posts in 2016 for Hospital EMR and EHR along with some commentary on each.

1. Why Is It So Hard to Become a Certified Epic consultant? – This is by far the top post generating 4-10 times as much traffic as the posts below.  It’s also why I’ve wanted to make the time to do a whole series of blog posts on Epic Certification and along with it Cerner Certification, MEDITECH Certification, etc.  When you make something like Epic Certification hard to get, people want it even more.  It’s just too bad they’re so closed since it drives up the prices for Epic consultants and thus the cost to implement Epic.  Certainly, we’ll be writing about this more in the future.

2. NYC Hospitals Face Massive Problems With Epic Install – This was a big story back in 2013 and still is today.  We should probably look at doing a follow up story to see what’s happening at NYC hospitals a few years after this story hit.

3. Epic Install Triggers Loss At MD Anderson – No surprise, people love to read about challenges in EHR implementations.  We saw quite a few of these from Epic in 2016 and people were interested in what went wrong.  The problem from the outside is it’s really hard to know who is to blame for the failure.  What has become clear over this year is that many healthcare organizations are blaming Epic for their revenue issues.

4. Hospital EMR and EHR Vendors – This page needs some work, but no doubt many people want to know who the big players in the hospital EMR and EHR market are.  This is true if they’re selecting a new EHR, switching EHR or looking to partner with EHR companies.

5. Why Do People Dislike Epic So Much? Let Me Count The Ways – This post is 5.5 years old and still going strong.  I imagine many people are still counting the ways they hate Epic.  I think I read that Epic finally hired a PR person.  Maybe that new hire can work on this.

6. A Study on the Impact of ICD-10 on Coding and Revenue Cycle – This was a good study that illustrated the impact of ICD-10.  It also gave some good words of caution about the impact of ICD-10 going forward.

7. Epic EMR Costs Drag Down Finances At Brigham and Women’s – Another example of the cost to implement Epic.  I knew this was a hot topic this year and the stats show that people were interested in the details.

8. The Argument for Meditech – I can’t believe this post is 5 years old already, but it still rings true today.  MEDITECH is not without its challenges, but it also doesn’t get the credit it deserves either.  I had a chance to visit their offices near Boston this year.  I’ll be really interested to see where MEDITECH takes their product next.  Many people have counted them out, but I certainly haven’t.

9. Can HIM Professionals Become Clinical Documentation Improvement Specialists? – We’ve published a lot about the changing world of HIM thanks to our new series of HIM Scene blog posts.  This post was a great example of how there are a lot of new opportunities for HIM professionals that are willing to embrace change and adapt as needed.

10. Great Healthcare IT Leaders – This is a great list of healthcare IT leaders as shared by David Chou.  David made the case for meeting up with them at HIMSS 2016, but the nice part is thanks to social media you can follow most of them year round.

An honorable mention to the 11th post on the list which talks about Dr. Rasu Shrestha helping an injured passenger on his way to HIMSS 2016.  Love stories like this.  Did you have a favorite post on Hospital EMR and EHR?  Was there an idea or concept you read on Hospital EMR and EHR?  We’d love to hear about it in the comments.

What’s the Role of a Hospital CIO in Business Model Transformation?

Posted on December 23, 2016 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

I don’t think anyone would argue that the healthcare business model is changing. There are a number of dynamics at play that are requiring every healthcare organization to evaluate what their business will look like in the future. Some examples of these changes include:

  • Patients with High Deductible Plans
  • Accountable Care Organizations
  • Other Risk Based Care Models
  • Value Based Reimbursement
  • Telemedicine
  • Chatbots and AI Assistants
  • Health Sensors
  • Retail Clinics

I could go on and on, but I think that highlights some of the major ones. What’s interesting about these trends is that it requires a change in business model. However, pretty much every one of these changes in business models requires the use of technology to facilitate the change. Some of them are impossible to do without technology.

If technology is going to play an important role in healthcare’s business transformation, what role should the hospital CIO play in the organization?

What’s shocking to me is how many CIOs don’t want any part in the business transformation part of healthcare. At CHIME I heard one CIO say, “We don’t want anything to do with MACRA. We just want to supply them the systems and let them figure it out.” I’m not sure the “them” he was referring to, but I think this approach is a big mistake. We’re all in this together and have to act as a team to get it done in the most efficient and effective way possible.

I was impressed by another hospital CIO who said basically the opposite. She said, “Oh no, we’re going to be in charge of MACRA and MIPS. I don’t want them taking over MACRA and MIPS, because if they’re in charge of it they’ll select a bunch of items for which we’re not capable of doing.”

Once again, this points to the need for collaboration to occur. You need the clinical insight together with the technical and software based insight in order to make the best decisions possible.

More importantly is I think it’s a big mistake for the hospital CIO to not be part of the business transformation. If the hospital CIO doesn’t take part in business transformation, then IT essentially becomes a commodity. The worst thing you can be in an organization is a commodity. When you’re a commodity they squeeze the budget out of you and you’re seen as non-essential or non-critical to an organization. What CIO wants to be in that type of organization?

I do see most progressive healthcare IT leaders outsourcing much of the “commodity IT” to other third party providers so they can focus their efforts on becoming a more essential part of their organization’s business transformation. The problem is that this requires a different set of skills and interests than what was essentially an operational role managing servers, desktop, and the network.

What type of CIO are you? What type of CIO does your organization need or want?

We’re Great at Creating Policies and Procedures, but Awful At Removing Them

Posted on December 21, 2016 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

Ever since I heard Tony Scott, the US CIO, talk about his goal of taking stuff off the federal books, I’ve been chewing on that concept. There’s little doubt that the federal government is really great at creating laws and regulations, but they’re really poor at getting rid of old laws and regulations. It’s hard to blame them. I don’t really know anyone that enjoys what amounts to “spring cleaning.” Needless to say, the US government could certainly be part of an episode (or even multiple seasons) of Hoarders the way they keep laws and regulations sitting around gathering dust.

While it’s easy to slam the government for their hoarding tendencies, I don’t think healthcare is immune to this problem either. Sometimes we’re required to “hoard” patient medical records by law. That’s not a bad thing since it’s good to comply with the law. However, it is a bad thing when we no longer are required to retain the data and the data in this old data has limited value.

In fact, much of that old outdated data could pose a risk to patients. We all know that many of our first IT systems were implemented quickly and therefore resulted in poorly collected data. Keeping around incorrect data can lead to disastrous consequences. It might be time for some spring cleaning (yes, it can be done in Winter too).

What’s more troublesome than this is many of the policies and procedures that exist in most hospital systems. Much like the government these policies and procedures get put in place, but we rarely go back and take them off the books. My least favorite thing to hear in a hospital when I ask why they do something a certain way is “We’ve always done it this way.”

If we don’t know why we’re doing something, that’s the perfect opportunity to ask the question and figure out the answer. Many times there is a good answer and a good reason for the policy and procedure. However, more often than most people realize, we’re just doing something because we’ve always done it that way and not because it’s the best way to do something.

I love Tony Scott’s effort to purge things from the books that are outdated, useless, or even harmful. Every hospital organization I’ve seen could benefit from this approach as well. Their organization would benefit, their employees would benefit, and ultimately patients would benefit as well.

When was the last time you got rid of a policy or procedure?

ReadsforRads is Working to Democratize Radiology

Posted on December 14, 2016 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

At the RSNA 2016 conference, Healthcare Scene learned about a new platform for radiologists that’s looking to democratize radiology. This new platform is called ReadsforRads. In our conversation with Dr. Phillip A. Templeton, Chief Medical Officer at ReadsforRads, we learned more about ReadsforRads and their mission to democratize radiology. I love the approach they’re taking to make radiology better for both radiology departments and imaging centers. Plus, doing so will ultimate benefit the patients the most.

To learn more about ReadsforRads and the way they benefit the health system, radiologists, and patients, check out our video interview with Dr. Templeton below:

No doubt ReadsforRads has some challenges as they work to scale their platform, but I was impressed by the progress they’ve already made. Their efforts on managing radiologists credentialing was quite interesting. I mentioned the ReadsforRads platform to my radiologist neighbor and his wife instantly said “Yes! Moonlight so we can buy a house.”

While the opportunity for a radiologist to make some extra cash moonlighting is interesting, I was extremely excited about ReadsforRads ability to get the right radiologist reading the radiology image. There are a lot of situations where the radiology image needs to be read by a true expert and that person might be on vacation or small institutions might not be able to afford that type of radiologist expertise in house. ReadsforRads can cover these gaps and make sure the read is done by the most qualified person. That can really benefit all of healthcare.

Using NLP with Machine Learning for Predictive Analytics in Healthcare

Posted on December 12, 2016 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

There are a lot of elements involved in doing predictive analytics in healthcare effectively. In most cases I’ve seen, organizations working on predictive analytics do some but not all that’s needed to really make predictive analytics as effective as possible. This was highlighted to me when I recently talked with Frank Stearns, Executive Vice President from HBI Solutions at the Digital Health Conference in NYC.

Here’s a great overview of the HBI Solutions approach to patient risk scores:

healthcare-predictive-analytics-model

This process will look familiar to most people in the predictive analytics space. You take all the patient data you can find, put it into a machine learning engine and output a patient risk score. One of the biggest trends happening with this process is the real-time nature of this process. Plus, I also love the way the patient risk score includes the attributes that influenced a patients risk score. Both of these are incredibly important when trying to make this data actionable.

However, the thing that stood out for me in HBI Solutions’ approach is the inclusion of natural language processing (NLP) in their analysis of the unstructured patient data. I’d seen NLP being used in EHR software before, but I think the implementation of NLP is even more powerful in doing predictive analytics.

In the EHR world, you have to be absolutely precise. If you’re not precise with the way you code a visit, you won’t get paid. If you’re not precise with how the diagnosis is entered into the EHR, that can have long term consequences. This has posed a real challenge for NLP since NLP is not 100% accurate. It’s gotten astoundingly good, but still has its shortcomings that require a human review when utilizing it in an EHR.

The same isn’t true when applying NLP to unstructured data when doing predictive analytics. Predictive analytics by its very nature incorporates some modicum of variation and error. It’s understood that predictive analytics could be wrong, but is an indication of risk. Certainly a failing in NLP’s recognition of certain data could throw off a predictive analytic. That’s unfortunate, but the predictive analytics aren’t relied on the same way documentation in an EHR is relied upon. So, it’s not nearly as big of a deal.

Plus, the value that’s received from applying NLP to pull out the nuggets of information that exists in the unstructured narrative sections of healthcare data is well worth that small amount of risk of the NLP being incorrect. As Frank Stearns from HBI solutions pointed out to me, the unstructured data is often where the really valuable data about a patients’ risk score exist.

I’d be interested in having HBI Solutions do a study of the whole list of findings that are often available in the unstructured data that weren’t available otherwise. However, it’s not hard to imagine a doctor documenting patient observations in the unstructured EHR narrative that they didn’t want to include as a formal diagnosis. Not the least of these are behavioral health observations that the doctor saw, observed, and documented but didn’t want to fully diagnose. NLP can pull these out of the narrative and include them in their patient risk score.

Given this perspective, it’s hard to imagine we’ll ever be able to get away from using NLP or related technology to pull out the valuable insights in the unstructured data. Plus, it’s easy to see how predictive analytics that don’t use NLP are going to be deficient when trying to use machine learning to analyze patients. What’s amazing is that HBI Solutions has been applying machine learning to healthcare for 5 years. That’s a long time, but also explains why they’ve implemented such advanced solutions like NLP in their predictive analytics solutions.

Bringing EHR Data to Radiologists

Posted on December 2, 2016 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

One of the most interesting things I saw at RSNA 2016 in Chicago this week was Philips’ Illumeo. Beside being a really slick radiology interface that they’ve been doing forever, they created a kind of “war room” like dashboard for the patient that included a bunch of data that is brought in from the EHR using FHIR.

When I talked with Yair Briman, General Manager for Healthcare Informatics Solutions and Services at Philips, he talked about the various algorithms and machine learning that goes into the interface that a radiologist sees in Illumeo. As has become an issue in much of healthcare IT, the amount of health data that’s available for a patient is overwhelming. In Illumeo, Philips is working to only present the information that’s needed for the patient at the time that it’s needed.

For example, if I’m working on a head injury, do I want to see the old X-ray from a knee issue you had 20 years ago? Probably not, so that information can be hidden. I may be interested in the problem list from the EHR, but do I really need to know about a cold that happened 10 years ago? Probably not. Notice the probably. The radiologist can still drill down into that other medical history if they want, but this type of smart interface that understands context and hides irrelevant info is something we’re seeing across all of healthcare IT. It’s great to see Philips working on it for radiologists.

While creating a relevant, adaptive interface for radiologists is great, I was fascinated by Philips work pulling in EHR data for the radiologist to see in their native interface. Far too often we only talk about the exchange happening in the other direction. It’s great to see third party applications utilizing data from the EHR.

In my discussion with Yair Briman, he pointed out some interesting data. He commented that Philips manages 135 billion images. For those keeping track at home, that amounts to more than 25 petabytes of data. I don’t think most reading this understand how large a petabyte of data really is. Check out this article to get an idea. Long story short: that’s a lot of data.

How much data is in every EHR? Maybe one petabyte? This is just a guess, but it’s significantly smaller than imaging since most EHR data is text. Ok, so the EHR data is probably 100 terabytes of text and 900 terabytes of scanned faxes. (Sorry, I couldn’t help but take a swipe at faxes) Regardless, this pales in comparison to the size of radiology data. With this difference in mind, should we stop thinking about trying to pull the radiology data into the EHR and start spending more time on how to pull the EHR data into a PACS viewer?

What was also great about the Philips product I saw was that it had a really slick browser based HTML 5 viewer for radiology images. Certainly this is a great way to send radiology images to a referring physician, but it also pointed to the opportunity to link all of these radiology images from the EHR. The reality is that most doctors don’t need all the radiology images in the EHR. However, if they had an easy link to access the radiology images in a browser when they did need it, that would be a powerful thing. In fact, I think many of the advanced EHR implementations have or are working on this type of integration.

Of course, we shouldn’t just stop with physicians. How about linking all your radiology images from the patient portal as well? It’s nice when they hand you a DVD of your radiology images. It would be much nicer to be able to easily access them anytime and from anywhere through the patient portal. The great part is, the technology to make this happen is there. Now we just need to implement it and open the kimono to patients.

All in all, I love that Philips is bringing the EHR data to the radiologists. That context can really improve healthcare. I also love that they’re working to make the interface smarter by removing data that’s irrelevant to the specific context being worked on. I also can’t wait until they make all of this imaging data available to patients.

HIM’s Role in Healthcare Security and Privacy – HIM Scene

Posted on November 30, 2016 I Written By

John Lynn is the Founder of the HealthcareScene.com blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of InfluentialNetworks.com and Physia.com. John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

This post is part of the HIM Series of blog posts. If you’d like to receive future HIM posts in your inbox, you can subscribe to future HIM Scene posts here.

One of my go-to experts on healthcare privacy and security is Mac McMillan, CEO and Co-Founder of CynergisTek. He’s built a really great company that focuses on privacy and security in healthcare and he’s a true expert.

While at AHIMA 2016, I talked with Mac about the role that HIM plays in healthcare privacy and security. We also talk about where healthcare privacy is heading and which part of healthcare privacy and security doesn’t get enough attention. I also asked Mac to make a big 20 year prediction on what will happen with privacy and security in healthcare.

Check out our interview with Mac McMillan, CEO and Co-Founder of CynergisTek:

We shot a number of other videos at AHIMA 2016 which we’ll be posting shortly. If you enjoyed this video, be sure to Subscribe to Healthcare Scene on YouTube and watch our full archive of Healthcare Scene interviews.

If you’d like to receive future HIM posts in your inbox, you can subscribe to future HIM Scene posts here.