Vital, the AI-powered software increasing productivity and improving patient health in hospital emergency rooms, today announces a $5.2 million Seed round led by First Round Capital and Threshold Ventures (formerly DFJ Venture). Vital uses artificial intelligence (AI) and natural language processing (NLP) to triage patients before they see a doctor, making it easier and faster for providers to coordinate care and prioritize patients.
Raised to help grow the Vital team of engineers and data scientists, and to bring its secure, cloud-based software to emergency rooms across the United States, the round also includes Bragiel Brothers, Meridian Street Capital, Refactor Capital and SV Angel, with angel investment from Vivek Garipalli, CEO of CloverHealth; and Nat Turner and Zach Weinberg, founders of Flatiron Health. Josh Kopelman, founder and partner at First Round Capital, will join Vital’s board of directors.
“The HITECH* Act was well-intentioned, but now hospitals rely on outdated, slow and inefficient software – and nowhere is it more painful than in the emergency room,” said Vital founder and CEO Aaron Patzer in a statement. “Doctors and nurses often put more time into paperwork and data entry than patient care. Vital uses smart, easy tech to reverse that, cutting wait times in half, reducing provider burnout and saving hospitals millions of dollars.”
Patzer brings capital to Vital from his success with Mint.com, which transformed bank data into an easy consumer product. The decision to take on an even higher-stakes, more regulated industry came after seeing firsthand the antiquated software hospitals use. Teaming up with Justin Schrager, doctor of emergency medicine at Emory University Hospital, Patzer invested $1 million and two years of peer-reviewed academic study, technical research and development to create Vital.
“Vital successfully built software with a modern, no-training-required interface, while also meeting HIPAA compliance. It’s what people expect from consumer software, but rarely see in healthcare,” said Kopelman. “Turning massive amounts of complex and regulated data into clean, easy products is what Mint.com did for money, and we’re proud to back a solution that’ll do the same in life and death situations.”
*The ACA’s Health Information Technology for Economic and Clinical Health
Recent research was published by the Washington Post about malware that was created to disrupt medical imaging equipment and networks. This is yet another wake-up call for the healthcare industry that been underinvesting in security for the last decade. Quite simply, there is a misconception that hospitals’ internal networks are a safe harbor from external cyberattacks. This is despite the fact that the real-world data has repeatedly shown that healthcare is one of the top industries under attack for the last five years. While previous attacks mainly focused on stealing personal health information, this research demonstrates how serious or even deadly an attack to healthcare can be.
There are a few reasons why cyberattacks in healthcare today can have devastating consequences.
Medical device vulnerabilities
Many medical devices inside hospitals are running decade old operating systems and applications that have many well-known vulnerabilities. In fact, it may be a surprise to many that the vast majority of imaging systems run on Windows OS. Further, recent Zingbox research shows that today, 1 out of 4 imaging systems run on OSes that are no longer supported. By next year, 85% of imaging systems are expected to run on End-of-Lifed OSes as Microsoft terminates support for some of their popular Windows OSes.
To make matters worse, most medical device manufacturers lack strong in-house cybersecurity expertise. While their expertise lies in device reliability and accuracy, which continue to be top requirements for connected medical devices, the lack of cybersecurity expertise puts the device reliability and accuracy into question. The lack of cyber-specific expertise also limits manufacturers’ ability to “bake in” cybersecurity measures on the device.
One might think that patches and upgrades are the answer. Unfortunately, no. FDA certification and other requirements pose significant hurdles for manufacturers to apply patches or upgrades to devices already deployed at hospitals.
Tools designed for IoT
Many hospitals lack the tools to monitor life-critical devices with 100% assurance of uninterrupted service and care. Such tools must be completely transparent to the device and in no way interfere or hamper its operation. Yet, organizations continue to rely on traditional IT security solutions for IoT. Such network security tools like firewalls and antiviruses result in security gaps that hackers can easily exploit.
Vulnerabilities that stem from inadequate IoT security tools:
Most network security solutions often cannot discern a PC from a CT scanner, whereas such a distinction is critical for cybersecurity.
CT scanner’s communication is almost never encrypted, device access doesn’t require basic authentication, and given the mobility of typical CT scanners, the devices can be connected to any internal network, according to Zingbox’s research findings.
Connecting a device to any network breaks the basic micro-segmentation policies IT teams have been encouraged to deploy for cybersecurity.
By Bentley Raynott, healthcare technology analyst, Tatvasoft.
With the advent of new technologies, the entire healthcare industry is gearing up to adopt new initiatives. Marked with different growth patterns and trends that could vary within its different sub-domains, the industry seems to have witnessed a couple of contradicted situations with inconsistent stagnation in others. The following post sums up certain trends to watch out in the development and data-driven technologies to take into account.
Over the past few years, artificial intelligence, machine learning, big data technologies have shown a prolific growth like never before. For example, IBM Watson — an AI-based system seems to have enhanced core management, accelerated drug discovery, matched patients with clinical trials, and fulfill other tasks. It is considered as one of those systems that have aided several medical institutions saving a great deal of time and money in the future. It is assumed that in 2019 and all the upcoming years, AI will become more advanced and will be carrying a wider range of tasks without human monitoring. Here are some predictions of AI trends in healthcare.
Having a patient-centric approach has become a norm these days. A unique radical change in the set of expectations that a consumer has today. Do you feel that front end challenges has the potential to suffice the need for consumerism especially in regards to the diagnostic aspect of patient care? Well, several diagnostic entities are found embracing the superior methods through which they can stay ahead in the value-driven system.
It may interest you to know that some of the major pharma players are seen investing in the consumer genetics field for the development of novel pharmaceutical products. As a result, GlaxoSmithKline entered into a four-year collaboration with 23andMe; one of the leading players in the genetic testing market; for drug discovery through human genetics.
Being in the healthcare sector, clinical decision-making is expected to advance in order to provide simple, standardized, effective and efficient across the care spectrum focusing on prevention, illness, and chronic care wellness, by virtue of a comprehensive strategy such as consumer genomics and precision medicine.
Gene editing technologies will advance
This technology, especially in the diagnostic platform, are making to change the face of disease detection, bio-sensing, and diagnostics in the years and many more. Moreover, it can also prove equally viable in the field of agriculture, biomanufacturing and forensics.
A foundational research roadmap for artificial intelligence (AI) in medical imaging was published this week in the journal Radiology. The report was based on outcomes from a workshop to explore the future of AI in medical imaging, featuring experts in medical imaging, and hosted at the National Institutes of Health in Bethesda, Maryland. The workshop was co-sponsored by the National Institute of Biomedical Imaging and Bioengineering, the Radiological Society of North America, the American College of Radiology, and the Academy for Radiology and Biomedical Imaging Research.
The collaborative report underscores the commitment by standards bodies, professional societies, governmental agencies, and private industry to work together to accomplish a set of shared goals in service of patients, who stand to benefit from the potential of AI to bring about innovative imaging technologies.
The report describes innovations that would help to produce more publicly available, validated and reusable data sets against which to evaluate new algorithms and techniques, noting that to be useful for machine learning these data sets require methods to rapidly create labeled or annotated imaging data. The roadmap of priorities for AI in medical imaging research includes:
new image reconstruction methods that efficiently produce images suitable for human interpretation from source data,
automated image labeling and annotation methods, including information extraction from the imaging report, electronic phenotyping, and prospective structured image reporting,
new machine learning methods for clinical imaging data, such as tailored, pre-trained model architectures, and distributed machine learning methods,
machine learning methods that can explain the advice they provide to human users (so-called explainable artificial intelligence), and
validated methods for image de-identification and data sharing to facilitate wide availability of clinical imaging data sets.
Langlotz, CP, et al. A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop. Radiology. April 16, 2019.
Co-authors of the report with Curtis P. Langlotz were Bibb Allen, M.D.; Bradley J. Erickson, M.D., Ph.D.; Jayashree Kalpathy-Cramer, Ph.D.; Keith Bigelow, B.A.; Tessa S. Cook, M.D., Ph.D.; Adam E. Flanders, M.D.; Matthew P. Lungren, M.D., M.P.H.; David S. Mendelson, M.D.; Jeffrey D. Rudie, M.D., Ph.D.; Ge Wang, Ph.D.; and Krishna Kandarpa, M.D., Ph.D.
Partners HealthCare announced its selections for the fifth annual “Disruptive Dozen,” the 12 emerging artificial intelligence (AI) technologies with the greatest potential to impact healthcare in the next year. The technologies were featured as part of the World Medical Innovation Forum held in Boston to examine AI in clinical care including a range of diseases and health system opportunities.
“Understanding state-of-the-art medical technologies enables us to anticipate the future of clinical care,” said Gregg Meyer, MD, chief clinical officer, Partners HealthCare and 2019 World Forum co-chair. “The Disruptive Dozen technologies can offer physicians and patients a renewed sense of optimism about Artificial Intelligence and its impact on diagnosis and treatment.”
The 2019 Partners HealthCare Disruptive Dozen are:
1 Reimagining medical imaging – AI is transforming radiology and imaging, including mammography and ultrasound, to bring improvements in clinical care and diagnoses to patients worldwide. Researchers envision AI transforming mammography from one-size-fits-all to a more targeted tool for assessing breast cancer risk, and further increasing utility for ultrasound for disease detection and rapid acquisition of clinical-grade images.
2 Better prediction of suicide risk – Suicide is the 10th leading cause of death in the U.S. and the second leading cause of death among young people. AI is proving powerful in helping identify patients at risk of suicide (based on EHR data,) and also examining social media content with the goal of detecting early warning signs of suicide. These efforts toward an early warning system could help alert physicians, mental health professionals and family members when someone in their care needs help. These technologies are under development and not cleared for clinical use.
3 Streamlining diagnosis – The application of AI in clinical workflows such as imaging and pathology is ushering in a new era of AI-enabled disease diagnosis. From identifying abnormal and potentially life-threatening findings in medical imaging, to screening pathology cases according to the presence of urgent findings such as cancer cells, AI is poised to aid the diagnostic, prognostic, and treatment decisions that clinicians make while caring for patients.
4 Automated malaria detection — Nearly half a million people succumbed to malaria in 2017, with the majority being children under five. Deep learning technologies are helping automate malaria diagnosis, with software to detect and quantify malaria parasites with 90 percent accuracy and specificity. Such an automated approach to malaria detection and diagnosis could benefit millions of people worldwide by helping to deliver more accurate and timely diagnoses and could enable better monitoring of treatment efficacy.
5 Real-time monitoring and analysis of brain health – a window on the brain – A new world of real-time monitoring of the brain promises to dramatically improve patient care. By automating the manual and painstaking analysis of EEGs and other high-frequency wave forms, clinicians can rapidly detect electrical abnormalities that signal trouble. Deep learning algorithms based on terabytes of EEG data are helping to automatically detect seizures in the critically ill, regardless of the underlying cause of illness.
6 “A-Eye”: Artificial intelligence for eye health and disease – Not only is AI is helping advance new approaches in ophthalmology, it’s demonstrating the ability of AI-enabled technologies to enhance primary care with specialty level diagnostics. In 2018, the Food and Drug Administration approved a new AI-based system for the detection of diabetic retinopathy, marking the first fully automated, AI-based diagnostic tool approved for market in the U.S. that does not require additional expert review. The technology could also play a role in low-resource settings, where access to ophthalmologic care may be limited.
7 Lighting a “FHIR” under health information exchange — A new data standard, known as the Fast Healthcare Interoperability Resources (FHIR) has become the de facto standard for sharing medical and other health-related information. With its modern, web-based approach to health information exchange, FHIR promises to enable a new world of possibilities rooted in patient-centered care. While this new world is just emerging, it promises to give patients unfettered access to their own health information — allowing them to decide what they want to share and with whom and demanding careful consideration of data privacy and security.
8 Reducing the burden of healthcare administration — use of AI to automate routine and highly repetitious administrative functions. In the U.S., more than 25 percent of healthcare expenditures are due to administrative costs, far surpassing all other developed nations. One important area where AI could have a sizeable impact is medical coding and billing, where AI can develop automated approaches. The goal is to help reduce the complexity of the coding and billing process thereby reducing the number of mistakes and minimize the need for intense regulatory oversight.
9 A revolution in acute stroke care — Stroke is a major cause of death and disability across the world and a significant source of healthcare spending. Each year in the U.S., nearly 800,000 people suffer from a stroke, with a cost of roughly $34 billion. AI tools to help automate the diagnostic journey of ischemic stroke can help determine whether there is bleeding within the brain — a crucial early insight that helps doctors select the proper treatment. These algorithms can automatically review a patient’s head CT scan to identify a cerebral hemorrhage as well as help localize its source and determine the volume of brain tissue affected.
10 The hidden signs of intimate partner violence – Researchers are working to develop AI-enabled tools that can help alert clinicians if a patient’s injuries likely stem from intimate partner violence (IPV). Through an AI-enabled system, they hope to help break the silence that surrounds IPV by empowering clinicians with powerful, data-driven tools. While screening for intimate partner violence (IPV) can help detect and prevent future violence, less than 30 percent of IPV cases seen in the ER are appropriately flagged as abuse-related. Healthcare providers are optimistic that AI tools will further complement their role as a trusted source for divulging abuse.
Healthcare technology is advancing quickly and this is precisely why executives need to be aware of all new technologies that can make their healthcare organisation more efficient and more impactful. This may seem difficult – staying on top of things and implementing new technologies always is, but it brings immense benefits and great results. While many technology advancements come with all that fame that is often not necessary, it can make patient satisfaction better. It can also improve cost savings and this is really important for the future of your organisation.
So, in this spirit, here are some of the most amazing tech advancements that can help your healthcare organisation become better and take another step towards the future.
Blockchain can make interoperability ai reality. You can solve many problems between healthcare organisations and it’s a solution that healthcare industry has been looking for for many years. It can decentralize the record systems and have multiple locations that can be shared with more stakeholders. This will help the healthcare system immensely and it can operate within different stakeholders in the healthcare systems. Instead of having a single client database, you can include both clinical and financial data on one server and in an independent, transparent database.
“Blockchain technology can share data in a safe system and put the clients and their needs at the center of the attention. Still, healthcare industry is a decade away from implementing blockchain in a meaningful way,”says Ingrid Fulton, a tech editor at Draft beyond and ResearchPapersUK.
Artificial intelligence can help with better oncology. Veterans Affairs is helping with this as a part of their precision oncology program which supports patients that have stage 4 cancer and that have tried all other methods of getting better. They are using AI to help use cancer data in the treatment of these patients. They are also veteran.
They treat more than 3.5 percent of patients in the US and this is the largest group of patients with cancer within any healthcare groups. This includes veterans from rural areas where it has been hard for them to implement better technology, especially something of this value.
Now more than ever, the healthcare industry is leveraging new technologies to provide patients with improved, innovative care. The innovation attracting the most buzz in the healthcare industry today is artificial intelligence (AI). However, despite the ongoing hype of robots and algorithms as industry game-changers, results to date from early applications of AI in healthcare have fallen short of realizing dreams of sweeping improvements.
IBM’s Watson is an excellent example of how these improvements “in healthcare” will require a more step-by-step approach and may take longer to achieve than initially thought. In 2011, Watson garnered worldwide attention by winning a game of Jeopardy against two of the show’s greatest champions. Within healthcare, Watson’s win gave rise to hope that AI was on the precipice of full-scale deployment that would transform the industry and dramatically improve patient outcomes.
For several reasons, that hasn’t quite happened yet, and Watson has found it challenging to deliver improved patient outcomes. While those critical of AI have been quick to jump on these struggles, it’s crucial to acknowledge that Watson suffers from several common obstacles faced by AI in healthcare. These include the lack of high-quality data that can be used to train an algorithm, the low number of available training cases, implicit bias, and the differences in guidelines between the U.S. and other countries.
However, as the industry collectively works to address these issues, I envision three major areas where AI will soon transform personalized medicine.
Individualizing the patient-clinician relationship
Clinicians are already equipping themselves to better serve their patients with the predictive and organizational benefits of AI. This technology will move the field away from a “one-size fits all” approach and make the clinician-patient relationship more individualized, fostering trust.
This would be no small feat for improving the patient-clinician relationship, especially for those suffering from chronic conditions. A study by West Corporation in 2018 found that only 12 percent of chronic condition patients feel strongly that their provider is doing a good job of delivering information specific to their needs and condition.
When a clinician provides patients with unique, individualized solutions, patients feel empowered and are more comfortable speaking up throughout the treatment process. When a patient is comfortable enough to report symptoms, no matter how trivial they may seem, personalized medicine thrives.
With the help of AI, clinicians can search extensive amounts of information to find the causes of patient-reported symptoms and alter patient care accordingly. These improvements can be referenced by other clinicians and lead to large-scale medical breakthroughs.
Thanks to the advent of technologies, we can witness irreversible changes in our daily life today. It is now easier to cope with our everyday routine because we have smart solutions that speed up the pace of our life and make it more convenient.
Healthcare is where technologies are expected to revolutionize treatment and research methods we are used to so much. Hence, we have prepared some technological trends that will make healthcare more advanced in 2019.
The Internet of Medical Things
The notion of The Internet of Medical Things (IoMT) is tightly connected with wearables. This technology is designed to transmit the patient’s data through various sensors and gadgets attached to the patient’s clothes or directly to their body. Fitness trackers and smart sensors are specifically elaborated to measure blood pressure, glucose level, pulse, heart rate, etc. Along with that, you can count calories you’ve burned, and miles walked.
Well, it doesn’t sound that innovative in 2019. But what makes it one of the most progressive trends is that the gathered data can be used in many various and innovative ways. For example, preventive medicine can benefit a lot with the help of IoMT. Research gets more accurate and timely, and it is even possible to prevent epidemics using the stats gathered in this way.
Anyway, if this is your college topic and you need thorough research of the field, you can consider getting case study help by ordering your paper online to ensure the highest quality and most accurate statistics.
Well … yes, consulting a doctor through your telly looks like a scene from one of those futuristic novels showing what the world would look like in the 21st century. In fact, it is what we have now. Modern technologies allow us to forget about hours spent in a clinic waiting for your doctor to invite you. That also includes waiting for the results of your tests.
Now you can consult any doctor in the world having a computer and an Internet connection. Imagine that you needed to see a reputable specialist in another country. It would be highly inconvenient to go all the way there just for a consultation. Firstly, you’d have to spend a lot of time. Secondly, you might need help to move around. And finally, it would be costly.
Today, you can contact your doctor from any spot in the world and get their consultation. It will not work in emergency cases, but it can work well if you need help with urgent but small issues. This is a good possibility for those who reside in far rural areas or require a highly specialized doctor to receive timely medical assistance.
The technology can also allow people to get consulted more frequently, which will improve the overall health of the population and establish better relations with doctors.
Technology is the new creed that has literally touched almost every aspect of our life. Be it communication, traveling, or exercising, we are always interacting with technology. However, healthcare has always been considered a very conservative area in terms of technology deployment. This is because, in its very nature, healthcare mainly deals with human life which calls for utmost precaution. But the emergence of machine learning and artificial intelligence has sparked innovation and a myriad of solutions that are already working in the healthcare industry.
At the forefront of this growth are Android-powered smartphone devices. It’s estimated that 88 percent of all the devices sold in the last quarter of 2018 were all powered by Android. It shouldn’t then come as a surprise that companies are looking to hire Android developers to build health-care related apps.
But what does the future hold for tech solutions in the health industry? In this article, we are going to look at the trends in healthcare to look out for in 2019 and a few examples of apps for healthcare.
Artificial intelligence and machine learning are getting increasingly sophisticated to the extent of surpassing human capability and the potential for these two technologies in the healthcare ecosystem are huge.
One of the biggest potential benefits of AI in 2019 is helping people to stay healthy without consulting a doctor, or at least do it less often. Coupled with the Internet of Medical Things (IoT), AI is already being used to develop consumer health apps that proactively show patients how to stay healthy.
Moreover, AI is increasingly being used by healthcare professionals to gain deep insights and better understand of routine patterns occurring in patients. With these deeper insights, the caregivers are able to give better diagnosis, guidance, and support to the patients. For instance, the American Cancer Society is already using AI to detect cancer at the initial stages with 99 percent accuracy.
Product development is another area that AI and machine learning are being used. R&D in the medical field can be painstakingly slow and costly given that hundreds of variables need to interact with each other. Today, medical researchers are using AI to safely explore biological and chemical interactions of drugs using the discovery process and clinical data.
Another area you can get artificial intelligence in healthcare is through workflow optimization. It helps automate repetitive tasks such as routine paperwork, patient scheduling, and time-folio entry.
Wearables and Augmented Reality
I do think that a significant portion of the population of developed countries, and eventually all countries, will have AR experiences every day, almost like eating three meals a day. It will become that much a part of you.” — Tim Cook at the 2016 Utah Tech Tour – source.
Virtual wearables and augmented reality devices are other emerging healthcare trends proposing to make significant advances in the healthcare space in terms of diagnosis and medical education.
On one side of the scale, virtual reality superimposes a patient in an artificially created surrounding, whereas, augmented reality helps generate layered images to real like objects. As a result, these technologies are and will continue being used by emergency response services providers to relay critical first aid information before the first responders arrive at the hospital.
In the prevention and diagnostics front, VR/AR has allowed medical care providers to create and manipulate different camera colors to reflect or replicate pre-existing effects in their databases.
But perhaps, the biggest impact of VR can be seen in 3D reconstructions of human organs. This has proven important especially when surgeons need to re-create the exact size and positioning of human organs before conducting complicated surgeries. Having the same exact replica of human organs give surgeons the know-how on how to deal with particular organs no matter how small they are.
In terms of medical education, both VW and AR have been great tools in transforming the way students learn. Surgeons are able to rehearse surgery procedures using dummies quicker and without having to use actual human bodies.
The internet age has brought along profound changes in the telemedicine landscape. In the earlier years, telemedicine was strictly limited to doctor and nurse consultation. However, the proliferation of smart mobile devices that are capable of transmitting high-quality videos has opened up avenues for virtual healthcare services from specialists to patients straight in their homes. This is especially paramount in remote areas where doctors can’t easily reach.
As the country’s baby boomer population continues to age, the healthcare industry is gearing up for a whole new level of demand that it has never before gone through. With greater numbers of people requiring doctor visits and hospital care, the industry is looking for ways to be even more productive and efficient to ensure that the quality of healthcare that people are receiving doesn’t suffer.
One of the most exciting advances to hit the health sector is artificial intelligence or AI. This technology is looking to have a huge impact, not just on healthcare in the immediate future but moving forward. Here’s a closer a look at just how it’s changing the course of the industry.
Medical records and data are benefiting from the technology
When it comes to the areas that AI is having the largest impact, medical records and data keeping is a big area to focus on. When you think about the vast amount of information that needs to be collected, stored, and analyzed for each and every patient it can seem rather overwhelming. This is exactly why data management has become such a priority for AI.
Robot technology is now being used to actually collect the information, store it, find specific data when required, and allow for quick and seamless access across the board.
Wearable medical devices
Wearable medical devices are another area where AI is having an impact and bringing about some really exciting and promising products. It’s not just about devices that provide potentially life-saving alerts and information, it’s also devices that can help the wearer better their own personal health by tracking various details. Devices such as the Apple Watch and Fitbit are great examples of this kind of technology that can be useful to everyday people.
Now as for the devices that can actually offer life-saving capabilities and tools, look to options such as the Bay Alarm Medical which is a great medical alert system. While this device isn’t going to track any information or take readings, it can be worn 24/7 and with the push of the button, it connects you to a live operator that can get you the help you need.