Tech in healthcare has been lagging
It’s undeniable that technology is playing a huge role in how we get around, how we interact with each other, and how we do business. But what about how healthcare is delivered and managed?
For many patients, interactions with the healthcare world can feel jarringly slow and disconnected, especially when it comes to communication between doctors and patients or between different healthcare providers.
Doctors and tech entrepreneurs acknowledge that in many ways, technology in healthcare has been lagging – but that’s about to change, and quickly. From the way hospitals are built to the way we visit doctors, get ready for some huge technology disruptions in the world of healthcare.
How patient data is shared
It may not seem like the sexiest part of the healthcare world, but it’s a critical aspect of how care is delivered: patient data.
“If you’re a patient, it’s difficult to track down your medical records,” says Kevin Grassi, MD, Chief Medical Officer and Co-Founder of PatientBank. “95% of medical info is exchanged by fax or by hand. In 2016 it’s ridiculous for faxing to be the main communication method, but faxing is HIPAA compliant, and it’s been the backbone of medical information exchange.”
Today, online fax services are the only easy way for patients to receive digital copies of their medical records.
There are health information exchanges in certain geographic areas, but they are limited to information like immunizations and prescriptions, Grassi says, and systems in different parts of the country aren’t set up to communicate with each other.
So if you’re a resident of New York who is seeing an oncologist in Texas, you’re on your own finding and conveying all the pertinent medical details, and you will likely have to navigate through several isolated patient portals.
That’s where Grassi hopes PatientBank will change things. PatientBank is a HIPAA-compliant service that can request medical records for you from multiple providers, and combines the information you choose to store into a summary that can be shared with doctors and family members.
Grassi hopes the technology will not only make it easier to safely share information, it will also increase patient engagement. That’s a crucial issue for doctors as well, since reimbursement models for physicians will change in 2017, from a fee-for-care model to a value-based system.
In an effort to improve patient outcomes, doctors will be required to do much more follow up care than they currently do.
“If a patient can give medical record access to their doctor, they’re empowered to look at that information, maybe even see where it isn’t correct – which is a big issue particularly in medication records,” Grassi says. “Engaged patients are healthier patients.”
It’s not just transmitting patient data that is difficult – sometimes just getting it in the first place is nearly impossible. That’s something Fahad Aziz, Co-Founder and CTO of CareMerge, learned firsthand when he got into a bicycle accident. He was treated in Seattle, then went back to San Francisco, where his doctor wanted to learn what had happened and how he’d been treated in order to give Aziz follow up care.
“I couldn’t get my medical records from the operation in Seattle. They put me in an endless loop of trying to get my records, and after two weeks I just gave up,” Aziz says. “That started me thinking differently about my company, and what we are doing.”
CareMerge builds coordination and communications technology specific to geriatric care that lets doctors share information with nursing homes and assisted living facilities.
If a doctor sends a patient from a hospital to a nursing care facility, for instance, that physician can use CareMerge to keep tabs on the patient’s progress and get alerts if there’s a change so that a doctor can visit at the nursing home.
That cuts down on patients being readmitted to hospitals, and improves patient outcomes, Aziz says. That’s a direction he sees a lot of healthcare technology going.
“There are close to 100,000 apps that area healthcare-related, but they are all isolated, none of them talk to each other,” Aziz says. “There’s been a lot of talk around building care coordination systems that talk to each other, but there wasn’t a driver to really make that take off until the shift to value-based reimbursements was finalized. All the entities responsible for providing patient care will have to talk to each other, and for the first time these systems are starting to get traction.”
Make way for AI
Aziz predicts that artificial intelligence (AI) is also going to lead to major changes in the healthcare industry.
“A lot of startups are working on technology that will read notes from your doctors, and based on intelligence like your own labs, or viral incidents in the area, will give you recommendations,” Aziz says. “That’s where the future is going to be. Five years from now, there is no doubt you and I will have an app that will give information about an episode happening to me, and what it means not just for me but for my whole family.”
That kind of machine learning will eventually replace many routine doctor’s visits, Aziz predicts.
AI will be able to coordinate data in a way that is currently not possible, he says, which could mean better, more coordinated treatment plans for complex health problems.
That same unified coordination will also become a factor in the new hospitals being built.
Auron Priestley, MD, says that hospitals are under duress trying to solve the issues around patient handoff.
“Physicians today have no secure and efficient collaborative tool to share information at the end of shift changes,” Priestley says. “Believe it or not, they use Word documents to share information between each other at the end of shifts. Often written in short code and when physicians are exhausted, some information may be missed. Miscommunication in hospitals currently results in 80% of preventable patient deaths in the U.S. 250,000 preventable patient deaths occur each year.”
To combat this, Priestley worked with the American College of Surgeons (ACS) to create Kolkin SOS, a HIPAA-compliant app that makes it easy for doctors to collaborate on clinical workflow in real-time. It can work with or without Internet connectivity, and allows physicians to share clinical protocols and best practices. The ACS is working on getting the app integrated into hospital IT systems.
Grassi also thinks that technology in hospitals will change around the customer experience: remote checking in that can eliminate waiting rooms, or kiosks that will help shorten wait time.
In Austin, Texas, the new Dell Seton Medical Center is under construction, and will include smart screens in each patient room so that healthcare teams can access patients’ medical history and monitor their condition in real time. Because it is a teaching hospital, there will also be cameras in operating rooms, which will allow medical students to observe procedures from offsite.
Whether it’s sharing notes between doctors or more efficiently monitoring patients, technology in hospitals will streamline communications, something physicians hope will save time and improve safety and patient outcomes.
Cutting edge technology has already led to huge advances in how our health care is delivered, from robotic surgery to advances in prosthetics. Now physicians and tech entrepreneurs are making inroads in how medical data is shared, both between patients and their providers and between physicians.
For physicians involved in piloting new technology, the hope is that those innovations could mean more efficient doctor’s visits, fewer medical errors, and greater patient satisfaction. With evolving challenges in the U.S. like aging and disease, that’s certainly welcome news to healthcare providers and patients alike.
AI technology is using facial recognition to hire the “right” people
(TECH NEWS) Artificial intelligence (AI) technology has made its way into the hiring process and while the intentions are good, I vote we proceed with extreme caution.
Artificial intelligence technology has made its way into the hiring process and while the intentions are good, I vote we proceed with extreme caution.
A UK based consumer goods giant, Unilever, is just one of several UK companies who have begun using AI technology to sort through initial job candidates. The goal of this technology is to increase the number of candidates whom a company can interview at the initial stages of the hiring process and to improve response time for those candidates.
The AI, developed by American company Hirevue, analyzes a candidate’s language, tone, and facial expression during a video interview. Hirevue insists that their product is different from traditional facial recognition technologies because it analyzes far more data points.
Hirevue’s chief technology officer, Loren Larsen, says, “We get about 25,000 data points from 15 minutes of video per candidate. The text, the audio and the video come together to give us a very clear analysis and rich data set of how someone is responding, the emotions and cognitions they go through.”
This data is then used to rank candidates on a scale of 1 to 100 against a database of traits identified in previously successful candidates.
There are two main flaws to this system. First, unless this AI technology is pulling from a huge diverse data pool it could be unintentionally discriminating against people without even being aware of it. Human bias is not as easy to remove from the equation as AI proponents would have you believe.
As an example, how does this AI handle people who are disabled or whose facial expressions that read differently than the general population, such as people with Down Syndrome or those who have survived traumatic facial injuries?
Second, seeking to hire someone who possess the same qualities as the person who was previously successful at a role is shortsighted. There are many ways to accomplish the same task with above average results. Companies who adopt this low-risk mentality could be missing out on great opportunities long-term. You will never know what actually works best if you don’t try.
The big question here is whether or not AI technology is ready to influence the job market on this scale.
The ‘move fast and break things’ trend is finally over
(TECH NEWS) Time is running out for this decade — and for a popular Big Tech phrase responsible for a lot of collateral damage. What’s next?
Time is running out for the decade. With less than 20 days left, it’s got us reflecting on the journeys of different economic sectors in the United States. And no industry has had a more tumultuous time of it than Big Tech.
A lot has changed in ten years. For starters, Americans have become increasingly disillusioned with Silicon Valley. The Pew Research Center found that only 50 percent of Americans believe technology firms have a positive effect on the country. That statistic is not too bad on its own, but that’s down 21 percent from only four years ago. Gallup found in 2019 that 48 percent of Americans also want more regulations on Big Tech. And The New York Times called the 2010s as “the decade Big Tech lost its way”.
Maybe that’s why big wigs at these tech firms have been quietly ditching a concept that was their Golden Rule in the early part of the decade: Move Fast and Break Things.
This concept is a modern take on the adage “you can’t make an omelet without breaking a few eggs.” For most of these firms, any innovation justified some of the collateral damage within its wake. And this scrappy “build it now and worry about it later” philosophy was a favorite of not just Facebook and Twitter, but also of many venture capital firms too.
The Move Fast and Break Things manta encouraged devs to push their coding changes to go live and let the chips fall where they may. But bugs pile up. Enter technical debt.
“Technical debt happens every time you do things that might get you closer to your goal now but create problems that you’ll have to fix later,” said The Quantified VC in an article on Medium. “As you move fast and break things, you will certainly accumulate technical debt.”
If enough technical debt comes into play, any new line of code could be the thing that topples a firm like a house of cards. And now that the consumer is used to tech in their daily routines, interruptions in service are extremely bad news for everyone.
As Mark Zuckerburg himself said it: “When you build something that you don’t have to fix 10 times, you can move forward on top of what you’ve built.”
To get back some of the trust that has ebbed from Big Tech over the years, firms can’t just keep with the Move Fast and Break Things status quo.
“The public will continue to grow weary of perceived abuses by tech companies, and will favor businesses that address economic, social, and environmental problems,” said Hemant Taneja in his article for Harvard Business Review. “Minimum viable products must be replaced by minimum virtuous products that … build in guards against potential harms.”
It’s not about chasing the bottom dollar at the cost of the consumer. Losing trust will hurt any company if left unchecked for long.
There’s a cap on advancement in our current technological state. It’s called Moore’s Law. And we’re rapidly approaching the theoretical limits of it.
“When you understand the fundamental technology that underlies a product or service, you can move quickly, trying out nearly endless permutations until you arrive at an optimized solution. That’s often far more effective than a more planned, deliberate approach,” said Greg Satell in his article for HBR.
Soon enough, Big Tech will be in relatively new waters with quantum computing, biofeedback and AI. There’s no way to move as fast as these technology firms have in the past. And even if they could, should they?
Big Tech has experienced major growing pains since the dawn of our new Millenium. And now that some firms are entering their 20s, there’s a choice to be made. Continue to grow up or keep using an idea that’s worn out it’s welcome with the consumer and that has no guarantee will work with future technologies.
Maybe that’s why Facebook’s motto is now “Move Fast with Stable Infrastructure.”
Computer vision helps AI create a recipe from just a photo
(TECH NEWS) It’s so hard to find the right recipe for that beautiful meal you saw on tv or online. Well computer vision helps AI recreate it from a picture!
Ever seen at a photo of a delicious looking meal on Instagram and wondered how the heck to make that? Now there’s an AI for that, kind of.
Facebook’s AI research lab has been developing a system that can analyze a photo of food and then create a recipe. So, is Facebook trying to take on all the food bloggers of the world now too?
Well, not exactly, the AI is part of an ongoing effort to teach AI how to see and then understand the visual world. Food is just a fun and challenging training exercise. They have been referring to it as “inverse cooking.”
According to Facebook, “The “inverse cooking” system uses computer vision, technology that extracts information from digital images and videos to give computers a high level of understanding of the visual world,”
The concept of computer vision isn’t new. Computer vision is the guiding force behind mobile apps that can identify something just by snapping a picture. If you’ve ever taken a photo of your credit card on an app instead of typing out all the numbers, then you’ve seen computer vision in action.
Facebook researchers insist that this is no ordinary computer vision because their system uses two networks to arrive at the solution, therefore increasing accuracy. According to Facebook research scientist Michal Drozdzal, the system works by dividing the problem into two parts. A neutral network works to identify ingredients that are visible in the image, while the second network pulls a recipe from a kind of database.
These two networks have been the key to researcher’s success with more complicated dishes where you can’t necessarily see every ingredient. Of course, the tech team hasn’t stepped foot in the kitchen yet, so the jury is still out.
This sounds neat and all, but why should you care if the computer is learning how to cook?
Research projects like this one carry AI technology a long way. As the AI gets smarter and expands its limits, researchers are able to conceptualize new ways to put the technology to use in our everyday lives. For now, AI like this is saving you the trouble of typing out your entire credit card number, but someday it could analyze images on a much grander scale.
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