Feature Articles
Closing the Referral Problem in Distributed Care Networks
There have been any number of people and companies working tirelessly to solve healthcare's interoperability challenges. Hospitals, EHR software companies, Health Information Exchanges (HIEs), Federal and State governments, payers, and others have developed, tested, and implemented many in-house or vendor-built solutions to try to clear this hurdle. Recently, consumer technology vendors and patient-centered innovation programs have begun to make significant strides on directly expanding patients access to their own records. This is great news for patients, but when I am a patient, I also want my doctors and other caregivers to be able to communicate about me when needed. So, making me responsible for stewarding pieces of my record between them doesn't solve the challenge. Especially if I have received care in three or four different places or worse yet, become incapacitated.
Getting started as a GitLab contributor
GitLab's open culture is one of its strongest assets and the main reason I use GitLab in DevOps transformations. The community edition's code is open source and the paid version makes its source code available for contributions. These are valuable factors rooted in the company culture its CEO has diligently maintained over the years. It doesn't hurt that its tools are great, too. I believe GitLab's sales and marketing team is the best of any company out there. They have included me as a user, customer, and friend over the last few years, and they are genuine and caring people. This was underscored last year when I wanted to contribute a feature, and GitLab's team went to extraordinary lengths to help me succeed. Here's the story of making my first contribution to GitLab.
Analysis of 2018's 14 Separate Billion-Dollar Disaster Events in Context
During 2018, the U.S. experienced a very active year of weather and climate disasters. In total, the U.S. was impacted by 14 separate billion-dollar disaster events: two tropical cyclones, eight severe storms, two winter storms, drought, and wildfires. The past three years (2016-2018) have been historic, with the annual average number of billion-dollar disasters being more than double the long-term average. The number and cost of disasters are increasing over time due to a combination of increased exposure, vulnerability, and the fact the climate change is increasing the frequency of some types of extremes that lead to billion-dollar disasters.
What Blockchain and Open Source Communities Have in Common
One of the characteristics of blockchains that gets a lot of attention is how they enable distributed trust. The topic of trust is a surprisingly complicated one. In fact, there's now an entire book devoted to the topic by Kevin Werbach. But here's what it means in a nutshell. Organizations that wish to work together, but do not fully trust one another, can establish a permissioned blockchain and invite business partners to record their transactions on a shared distributed ledger. Permissioned blockchains can trace assets when transactions are added to the blockchain. A permissioned blockchain implies a degree of trust (again, trust is complicated) among members of a consortium, but no single entity controls the storage and validation of transactions.
Fax Technology is the Cornerstone of Interoperability. Here's Why.
Fax is the dominant information exchange technology in U.S. healthcare, outpacing secure direct messaging 25-to-1. Most of that is exchanged using inefficient and unsecure machines. With the emergence of cloud-based fax technology to facilitate secure system-to-system document transfer, the use of cloud fax needs to be part of every CTO's/CIO's digital strategy...The evolution of fax from paper-based to cloud transmission and storage - Cloud Fax Technology (CFT) - is a key step that enables providers to comply with HIPAA and other regulations. Further strengthening CFT as a key component in Healthcare Information Systems (HIS) is its evolution into Direct Messaging platforms, enabling the seamless exchange of Patient Health Information (PHI) between the diverse data and document management systems used by labs, pharmacies, doctor's offices, hospitals, and billing providers. CFT supports and contributes to the goal of interoperability...
We Don't Need No Stinking Batteries
The problem with many IoT devices, though, is similar to with our other devices: what happens when the battery runs low? It's not easy to get a charger into our gut to repower smart pills, and for anyone worried about the ecological risks posed by computer or smartphone batteries, well, imagine tiny versions of those toxic batteries floating around in your body. We'll need sensors to track the damage done by our other sensors' dead batteries. Not with rectennas. Rectennas are powered by Wi-Fi signals, like the kind you use in your house or at Starbucks to get internet access. This is not a new concept, but what is new is that MIT researchers have been able to harvest enough power to make them useful, in a device only a few atoms thick.
AHRQ Releases Draft Guide for Registry Interoperability: Does Public Health Have a Role?
On January 11, 2019, the Agency for Healthcare Research and Quality (AHRQ) released a draft Addendum to the Third Edition of Registries for Evaluating Patient Outcomes: A User's Guide called Tool and Technologies for Registry Interoperability. AHRQ has long written about registries - largely from a research standpoint - and I have been following this from afar for some time. This new guide is focused on helping those who both create and use registries understand the issue surrounding leveraging external data to improve registry completeness, accuracy, and usefulness. This report covers lots of ground and does a good job of summarizing important subtopics. Each chapter is overflowing with footnotes and sources.
Do Unto Robots As You...
We're going to have robots in our healthcare system (Global Market Insights forecasts assistive healthcare robots could be a $1.2b market by 2024), in our workplaces, and in our homes. Some of them will be unobtrusive, some we'll interact with frequently, and some we'll become close to. How to treat them is something we're going to have to figure out. Written by Alex Williams, Do You Take This Robot...focuses on people actually falling in love with (or at least preferring to be involved with) robots. Sex toys, even sex robots, have been around, but this takes it to a new level. The term for it is "digisexual." As Professor Neil McArthur, who studies such things, explained to Discover last year...
The Shutdown Will Harm the Health and Safety of Americans, even After it's Long Over
With the U.S. federal government shutdown now the longest in history, it's important to understand what a shutdown means for the health and safety of Americans. The good news is that in the short run, the consequences are relatively few. But, as a researcher who studies natural disaster planning, I believe that Americans should be worried about the federal government's long-term ability to ensure good public health and protect the public from disasters. As the shutdown drags on, it increasingly weakens the government's ability to protect Americans down the road, long after federal workers are allowed to go back to work. Many of these effects are largely invisible and may feel intangible because they don't currently affect specific individuals...
It's 2019. Smartphones are Out...On to the Next Big Thing...
It's amusing to watch old movies where plot points often involved someone's inability to talk to the person they needed, in the pre-mobile phone era. We take our smartphone's omnipresence and virtual omnipotence as a given in our daily lives and treat even its temporary loss as a major inconvenience. So why are people already wondering if the smartphone era is almost over? Speculation on this is not new (voice has been touted as the next big platform for years), but intensified after Apple announced reduced revenue expectations earlier this year -- the first time in 16 years. It specifically cited slower iPhone sales in China and, even more jarring, said it would no longer break out unit sales of iPhones...
ONC Releases 2018 HITECH Report
In early January the Office of the National Coordinator for Health Information Technology (ONC) issued its annual report to Congress for 2018 on the adoption of electronic health records (EHR) and interoperability. This report is required under the HITECH Act and is further informed by requirements of the later 21st Century Cures Act...One thing that I think is notable was a short discussion about barriers to interoperability that we have heard before. The report identifies three types: technical barriers, financial barriers, and trust barriers. Within trust barriers the report mentions legal incentives to keep data from moving (I guess that would have better been phrased as legal disincentives to sharing), but this misses the point: It is the patchwork of inconsistent and incompatible State and local laws and regulations - not intentional information blocking - that presents a bigger challenge and barrier.
Is Machine Learning for the Birds?
Cacophony Project uses the latest technology to monitor and protect endangered bird populations against predators. The Cacophony Project's broad vision is to bring back New Zealand's native birds using the latest technology to monitor bird populations and humanely eliminate the introduced predators that are endangering them. The project started in our founder's backyard to measure the effectiveness of his efforts to protect the birds on his property. From this simple beginning, the project has quickly grown into a system that includes two edge devices, a cloud server, and automatic identification of animals using machine learning. The project has been completely open source from the beginning and sees regular contributions from a wide variety of volunteers.
In God We Trust, All Others (Don't) Pay Cash
I was intrigued by a recent Wall Street Journal article about how some retail establishments won't accept cash as a form of payment, citing Drybar, Sweetgreen, and at least one Starbucks location. Cashless is touted as faster, safer, easier to administer, and in line with most customers' preference. Indeed, a new study from the Pew Research Center found that 29% of all U.S. adults don't use cash at all in their typical week, up from 24% in 2015. The higher the household income, the less cash was used. Alistair Johnson writes in Forbes that, hey, if we're going to a cashless society, we should make it a cardless one as well, not simply replace our cash with those pieces of plastic we use for debit/credit. I think he's on to something there, and both discussions made me think about how we change the constructs of our everyday lives -- including in healthcare.
Open Source Space Academy Opens in Nairobi
Nairobi's Tunapanda Institute has been using open source tools to provide technology, design, and business training in East Africa since its inception in 2013. Next year the school will launch a "space academy" to inspire young people to think about some of the most critical challenges facing humanity on this planet and beyond. Tunapanda's founders believe that everyone should have the opportunity to help shape the future, and in order for that to happen there must be learning materials and tools that are open, shareable, and unrestricted so that anyone, no matter their financial or educational background, can learn and be inspired.
Why Data Scientists Love Kubernetes
Let's start with an uncontroversial point: Software developers and system operators love Kubernetes as a way to deploy and manage applications in Linux containers. Linux containers provide the foundation for reproducible builds and deployments, but Kubernetes and its ecosystem provide essential features that make containers great for running real applications...What you may not know is that Kubernetes also provides an unbeatable combination of features for working data scientists. The same features that streamline the software development workflow also support a data science workflow! To see why, let's first see what a data scientist's job looks like...