By Susan deCathelineau, senior vice president sales and services, Hyland Healthcare.
Much like the formation of New Year’s Resolutions, the prediction of technology trends for the coming year has become a tradition among pundits, analysts and vendors alike. As the calendar turned to 2020, Hyland, like many, took the opportunity to look into a crystal ball to predict what the future might hold for the software industry at large, as well as many of the key vertical markets in which it operates.
For example, Hyland leadership revealed six overarching trends for enterprise technology as well as key trends to watch for health IT. At the time, none of us could have foreseen that a global pandemic was coming that would turn all of these predictions on their collective ears.
Of course, the healthcare industry has been particularly impacted by COVID-19. Provider organizations have justifiably focused their attention on responding to the new patient care and staffing needs brought about by the virus. That said, all of the health IT trends Hyland outlined at the beginning of 2020 (interoperability, artificial intelligence and cloud adoption) still have relevance in today’s unprecedented landscape. Although, admittedly, the reasons these topics are trending are for vastly different reasons than we originally anticipated.
I want to revisit these trends under the lens of COVID-19 as well as add a few more to the list in light of current circumstances.
Interoperability
Original insight: Secure access to patient information at any facility throughout a care continuum is an imperative for delivering a longitudinal digital record that travels with the patient. The key is to ensure tight integration between disparate IT systems, and to include unstructured data in the interoperability equation. As much as 80% of essential patient information is in an unstructured format – such as digital photos and videos, or physician notes – and not natively included in an electronic medical record (EMR) system. When removed from a clinician’s view, the patient record is incomplete.
New relevance: Health IT interoperability was important prior to COVID-19, and it’s even more critical now. Providers, patients and public health officials need all-encompassing data in a standardized format to better understand this evolving illness and develop guidelines. The effort to identify risk, control spread and manage the treatment of afflicted patients is a coordinated effort among multiple healthcare providers and external care partners. The easier information can be shared among these varied stakeholders, the better equipped we’ll be to combat the virus.
Artificial Intelligence (AI)
Original insight: Realistic applications of AI are coming into focus in healthcare, showing where the technology will help providers optimize workflows and better analyze the vast amounts of information needed to support improved decision making. Experts view AI technology as complementary and a true asset when it comes to helping physicians analyze the overwhelming amount of patient data they receive daily. Physicians can implement AI to streamline or eliminate tedious tasks, such as manual documentation and data search, or cull information to help them focus on a key area of interest.
The medical imaging space in particular provides a tremendous area for the growth of AI and machine-learning technologies. Clinicians can use them to analyze thousands of anonymized diagnostic patient images to identify and detect indicators of everything from lung cancer to liver disease. These technologies are also being used to accelerate research.
New relevance: AI is being used in a number of ways to address the challenges of COVID-19. For example, AI algorithms have been used to identify the spread of new clusters of unexplained pneumonia cases. Other AI applications are being used to spot signs of COVID-19 infections in chest X-rays and identify patients at high-risk of coronavirus complications based on their pre-existing medical conditions. Still others are scanning the molecular breakdown of the virus itself as well as those of existing drug compounds to identify medications that can potentially target the virus and shorten the span of the illness or lessen the severity of the symptoms. In all of these scenarios, AI is quickly analyzing large segments of data to accelerate research and treatment. This automation is indispensable in an environment where medical staff are stretched to their limits, and the act of saving time could save lives.
Chatbots, or conversational AI, seem to be everywhere in our daily lives and go-to solutions for digital transformation initiatives. From banks to insurance companies and e-commerce sites, these automated assistants offer help, answer our questions and guide us – often without our really even knowing it. In today’s 24/7 environment, they fulfill the need for always-on service, anytime and anywhere, since it can be a challenge to staff call centers or customer service departments around the clock.
While we’re getting used to chatbots in customer service, there’s an emerging role for them in healthcare – helping to address the COVID-19 crisis.
Knowledge is Power — Easing Public Concerns One Bot at a time
The ability to provide information at a moment’s notice, anytime, anyplace and alleviating the burden on healthcare staff has made chatbots an important tool at Providence St. Joseph Health in Washington State. This health facility treated the first COVID-19 case in the U.S, and it implemented chatbots to help address the public’s demand for information, while at the same time, freeing up their overtaxed healthcare providers from having to deal with a deluge of calls from sick people and the “worried well.”
Providence Saint Joseph Health turned to technology to help it more effectively manage three critical stages of care: triage, testing and treatment, relying on chatbots to particularly assist during the triage phase of the process. By visiting its Coronavirus Assessment Tool online, people can find out more about which symptoms might indicate the virus, and figure out if they should be seen by a health professional. This chatbot is connected to a virtual patient care visit which enables people to discuss their symptoms with a nurse practitioner. It has had overwhelming success with the public; in its first day of use alone, more than 500,000 people used the chatbot.
Chatbots have been able to step up and meet these types of needs because they combine natural language processing with machine learning capabilities. This allows them to understand and communicate in a free flowing, conversational discussion. Because of the benefits it provides, market opportunities for the technology is growing rapidly: the global market for chatbots is predicted to reach $15.7 billion in 2024, up from $4.2 billion in 2019. And the market for chatbots in healthcare is expected to be over 314 million by 2023.
It’s no wonder that conversational AI has a bright future in healthcare. In an industry where professionals are busy and continually strapped for time, chatbots can provide and collect information, conduct outreach, send reminders and schedule appointments. It can also provide support to patients, their families and the public and offers the convenience of meeting consumers wherever they are – whether it’s on their phone, through messaging, social media or elsewhere.
Although electronic health records (EHR) are firmly established in the medical landscape, ongoing progress necessitates that providers keep up with emerging trends. Here are five of them.
1. Combining Artificial Intelligence and Voice Recognition with EHR
Artificial intelligence (AI) has already shown promise for assisting doctors with making diagnoses or recognizing historical trends about a patient’s condition. However, several companies are investigating bringing AI to EHR via voice recognition capabilities.
At Vanderbilt University Medical Center, providers can query the tools by posing questions in natural language. For example, a physician could ask a voice-enabled EHR system for details about a patient’s last recorded iron levels from blood tests. The system would inform the doctor of those levels, plus tell them whether they’re in a healthy range.
Allscripts and Northwell Health also recently struck a deal for a platform that blends AI with EHR and collects data from clinicians. Using voice commands within patient care could be especially useful for providers who have their hands full.
2. An Increased Emphasis on Mitigating EHR Errors
When the ECRI Institute released its 2020 report containing the top 10 health technology errors to be aware of in the coming year, EHR issues were mentioned multiple times. The first instance related to providers potentially being overwhelmed with notifications from EHR platforms, ignoring some of them and perhaps overlooking a genuine issue with a patient as a result.
The report also brought up the risk of medical data not including information about implants in patients that are sent for medical imaging. The study recommended providing a single place to enter or check for the presence of implant data in an EHR. Finally, the ECRI Institute cautioned that EHR mistakes could happen when a medication administration order sent by an EHR platform does not match the dosage time the provider intended.
This coverage of such mistakes will likely cause health care facilities to assess their systems and see if the issues exist there. If so, they’ll look for ways to reduce those problems.
Vital — AI-powered software in hospital emergency rooms — announces its inaugural development partnership with Emory Healthcare. As part of the strategic collaboration, Emory Healthcare becomes a lead research partner in developing and implementing Vital’s software to improve overall efficiency and satisfaction for patients and clinicians across multiple Emory emergency rooms. Vital was conceptualized and co-founded by Justin Schrager, assistant professor of emergency medicine and ER doctor; with award-winning technical CEO Aaron Patzer.
Vital’s software is the first partnership out of the Emory University Innovation Hub, designed to identify unmet patient needs and find innovative solutions to put the patient at the center of care delivery. Vital’s live track board and real-time predictions of patients are being developed in the Emergency Departments of Emory University Hospital, Emory Johns Creek Hospital, Emory University Hospital Midtown, and Emory Saint Joseph’s Hospital. The goal of this pilot program is to measurably reduce wait times and overall length of stay for patients, while increasing patient satisfaction.
“We are overjoyed to have Emory Healthcare as our primary development partner and pilot sites,” said Patzer. “We are impressed with the commitment Emory leadership has made towards technological innovation and tackling truly challenging problems in emergency medicine. Working closely with top emergency physicians and nurses is essential to producing software that meets the needs of clinicians.”
Vital uses artificial intelligence (AI) and natural language processing (NLP) to triage patients,, making it easier and faster for providers to coordinate care and prioritize patients with a fast, reliable, and incredibly user-friendly system.
The dental industry experiences new and exciting tech developments every year, and 2019 is seemingly no exception. The innovations are not only modernizing practices, but they are leading to improved oral care and smaller appointment times, which can each support the patient experience.
If you are a dental practitioner or want to learn more about the industry, here are five exciting dental tech trends in 2019 to watch out for.
Laser Dentistry
One trend to watch is laser dentistry, which is helping dentists to provide more advanced care. For example, many oral health professionals are using it to:
It is expected to become a popular choice for dentists, as it could potentially shorten healing time, eliminate the need for anesthesia and can sterilize the gums to reduce the likelihood of an infection.
Digital Automation Technology
More dental practices are turning to digital automation technology software to streamline and organize internal processes.
For example, you could use the technology to:
Text appointment confirmations to patients
Schedule social media posts
Create in-house submission forms
Pre-record voicemails for follow-up appointments
Dental practice automation also helps ensure consistent office practices for patient record keeping, insurance billing practices and HIPAA record handling compliance. These compliance areas can be a source for dental board investigations.
Artificial Intelligence
Artificial intelligence(AI) could one day transform the dental industry. For example, it has led to the invention of robo-dentists that are capable of performing minimally invasive dental procedures, such as teeth cleaning, filling cavities, extracting teeth and applying caps.
Artificial intelligence makes suggestions about what we should buy at the grocery store. If we need transportation to get to the grocery store, we can use ride-sharing applications. Swiping right on a dating app has become a new way to look for romance. Banking with your phone, without the need to physically visit a branch office, is common practice.
If, in the past, the public did not trust technology enough, nowadays, the convenience aspects of technology outweigh the risks.
But healthcare has always been a conservative industry when it comes to technology. For the most part, this is a good thing. I’m sure you wouldn’t have liked to be treated with a fairly new drug or piece of equipment, or to be diagnosed by a robot-doctor.
On the other hand, technology has come a long way and is now more reliable, stable and trustworthy than ever. It has already penetrated the health industry, which means you are going to see more and more of it. The combination of rising costs, Amazon’s promise to go into healthcare, and the government pressure for affordable care are pushing healthcare providers to embrace technology and adapt to all the risks and benefits it brings.
Technology at its core is being used to reduce overhead cost, provide better data analysis (to facilitate better decision-making), automate human tasks, and provide comfort and convenience in our day-to-day lives. When it comes to the health industry, what we all would like to see is (in no particular order):
Increased Access to Care – Access to care has been, and still is, a major concern throughout North America. When speaking of access to care, we oftentimes think of financial barriers to care. However, there are many other barriers that are as prevalent: Geography (distance and mobility to a healthcare provider), anxiety and even opening hours of a healthcare provider can be serious barriers for access to care.
Telehealth is quickly becoming a technological solution to resolve the above mentioned challenges and increase the ability for the general public to receive healthcare services in a way that is convenient for them. When we look at telehealth from the perspective of remote communities, it is the difference between seeing a healthcare provider and not seeing one at all.
Better Diagnostic – We look up to doctors and expect them to be able to identify our illnesses and prescribe the treatment that would enable us to overcome them. In reality, illnesses are becoming more complex and require interdisciplinary collaboration to diagnose with better accuracy and prescribe an effective treatment. There is no way of achieving this without the use of technology.
A centralized database that will store all health information from all practitioners is the only way to provide doctors the information they need, when they need it. Having information from all healthcare providers you have visited provides a better picture of habits, complaints and parallel treatments already prescribed (without the need for the patient to remember and be able to verbalize correctly). This is crucial to be able to treat you more effectively.
Artificial intelligence is poised to make a major impact on healthcare and healthcare technology. Investment in the healthcare AI sector alone is predicted to reach $6.6 billion by 2021. By 2026, that number will balloon $150 billion. And there’s no doubt about the transformative power of artificial intelligence, however, in terms of healthcare, its restorative effects are truly life changing.
Today, there’s a term in healthcare called the “iron triangle.” The iron triangle refers to three combined factors that can have negatives trade offs: affordability, access, and effectiveness. Though closely interlocked, improving one area without neglecting another is very difficult—even in modern times. With AI, the healthcare is much better equipped to tackle these conundrums. Here’s how artificial intelligence will impact the future of healthcare tech:
Prevention Intervention
One of the biggest benefits of AI in healthcare is the ability to predict potential issues and eradicate them before they become too serious. Machine learning is a major part of prevention intervention. With machine learning, computer systems are handed data and use statistical techniques to identify patterns over time and “learn” more about the information it processes. Doctors can use these targeted analytics to make more accurate diagnosis, spot potential issues before they arise, assess risks, and offer better treatment plans.
It’s no secret that cyberattacks are escalating, rising in tandem with the growing sophistication of technology. One industry that has taken a massive hit by cyberattacks in recent years is the healthcare industry. The healthcare industry is increasingly reliant on technology and data connected to the internet, such as patient records, lab results, radiology equipment and hospital elevators. Now imagine if a cybercriminal encrypted an entire hospital’s data with a nasty ransomware. Doctors would be unable to pull up a patient’s medical records, or worse, utilize equipment connected to the internet to make a proper diagnosis.
Unfortunately, this is the reality that healthcare industry professionals are facing today. And while 92% of healthcare organizations are confident in their ability to respond to cyberattacks, there is a plethora of malicious activity that poses a great threat to their networks. Here are the main cybersecurity challenges faced by the industry today:
The Rise of Ransomware
You might recall the WannaCry attack of 2017, the ransomware worm that attacked hospitals as well as other industries by exploiting a weakness in Windows machines. This worm infected thousands of computers around the world and threw the United Kingdom’s National Health Service into chaos. This resulted in the Health Care Industry Cybersecurity Task Force to conclude that healthcare cybersecurity was in critical condition.
Why was the healthcare industry so impacted by this cyberattack? Many hospitals struggle to keep up when it comes to upgrading their operating systems due to the sheer volume of devices on the network. However, much of the software in a medical-specific device is often custom made, making system upgrades difficult. Additionally, manufacturers tend to avoid prematurely pushing out modifications that could potentially impact patient safety. For these reasons, medical machines continue to exist with outdated software, putting them at greater risk of cyberattacks such as ransomware.
Lack of Investment
Many organizations within the healthcare industry suffer from a lack of investment in cybersecurity solutions. Despite the number of breaches that occur, healthcare is behind other sectors when it comes to taking security measures. Only 4-7% of healthcare’s IT budget is allocated to cybersecurity, while other sectors allocate about 15% to their security practices. However, the finances associated with a cyberattack if these solutions aren’t put in place can take an even greater toll on an organization. Some hospitals and healthcare insurers see estimates of over $5 billion in costs as the result of cyberattacks on their systems. On top of the costs incurred finding a solution to fix these breaches, healthcare organizations then have to deal with fines from the Department of Health and Human Services Office of Civil Rights.
Securing Connected Devices
With the growing adoption of IoT, more and more devices are being connected and used in healthcare systems. However, as connected medical devices become more powerful and widely adopted, they become greater targets for malicious actors to exploit. According to the Cybersecurity in Healthcare report, over 16% of IT professionals can’t patch their own operating systems, leaving the network wide open for attack. Now imagine if a cybercriminal gained access to just one medical device on the exposed network. This could lead to the theft of sensitive patient data or even unauthorized access to an implanted device that could cause physical harm to the user.