Dispelling 10 Myths about AI in Healthcare

Dispelling 10 Myths about AI in Healthcare

Depending on whom you ask, artificial intelligence has the potential to transform our economy, take our jobs, overrun the human race, or maybe even a combination of the three. While AI holds a lot of promise, it has also turned into a buzzword that is frequently misunderstood and misapplied to both our lives and our businesses. This is especially true in healthcare, where the promise of better patient outcomes is often overshadowed by the threat of compromised jobs or regulatory red tape. To help set the record straight on the current state of AI in healthcare, we’ve put together a list of the top 10 myths we hear most frequently.

1. There is just one type of AI.

In fact, AI is a blanket term that comprises multiple types of technology, including optical character recognition, natural language processing, and machine intelligence. At its core, artificial intelligence refers to technology that mimics sophisticated human processes in a way that makes it indistinguishable from a human. In this way, our definition of AI comprises not just computer vision and machine intelligence, but also Robotic Process Automation, which automates repetitive, rule-based tasks.

2. Automation will take away more jobs than it creates.

In fact, industry experts speculate that the opposite will happen. The reason why is because AI adoption won’t happen overnight––and when it does happen, it will primarily replace repetitive, lower-skilled jobs that don’t require human traits such as creativity or empathy. This won’t invalidate the need for a human workforce; on the contrary, it will provide an opportunity for jobs to become less menial and more thoughtful.

3. AI is first and foremost a way to cut costs.

Some organizations may turn to AI as a way to cut costs, but that also can be a side-effect of so many other benefits that automation can bring. AI can help organizations improve their efficiency and KPIs, reduce risk, improve employee satisfaction and retention, and more…while also cutting the costs associated with them.

4. AI’s ROI is difficult to calculate.

Because AI is still a new business tool and ROI may not be as cut-and-dry as it is for other, more conventional business tools, many mistakenly think that AI’s ROI is difficult to ascertain and they choose to avoid the perceived risk. However, the key to assessing ROI is to be diligent in measuring your current-day spend––not only in terms of salary and benefits, but also in terms of risk, of extra days in A/R, and any other subsidiary metrics that might be positively influenced by AI. If you choose to work with an automation vendor, they will be able to help you think through the metrics to consider when evaluating AI’s ROI potential. Then, they will help you understand how AI will impact those metrics so that you can generate buy-in from your team––while also feeling confident yourself.

5. AI is a magic fix for your business.

Many organizations think that AI is the “secret sauce” that will help them improve efficiency, reduce costs, and make their employees happier. And while all of those things can and do happen when AI is executed properly, those effects don’t come quite as easily as some may believe. Many AI companies sell insights, not action, to their clients, which means that your organization still needs to do the work in order for AI to have a tangible impact on your business.*

6. AI requires large amounts of data.

It’s true that more data is always better when it comes to artificial intelligence––after all, the more historical data you have at your disposal, the more opportunities you have to “train” an algorithm to act a certain way based on similar data in the future. However, depending on the task that you intend to automate, certain AI frameworks are flexible enough to work with limited subsets of data.

7. Only large companies with in-house IT teams can benefit from AI.

Even as recently as a few years ago, organizations needed to employ a sophisticated internal IT team in order to build, customize, and implement an AI model for their organization. Not so today. At Olive, we’ve seen AI successfully implemented everywhere from the nation’s largest health systems down to 17-bed rural clinics. If your organization is on the smaller size but is still interested in implementing AI, you might consider contracting with a third party to build and manage your automations rather than bringing on extra in-house support.

8. You can’t build AI in-house.

With the advent of cloud technology, it’s easier than ever to create data-intensive automations and harness the power of AI for your organization. This, coupled with robotic process automation and AI platforms, provides organizations with more of a “do-it-yourself” option so that they can harness the benefits of AI without having to rely on external consultants. If you’re trying to determine whether building in-house or hiring an external consultant would be more beneficial for your organization, ask yourself whether AI is a part of your organization’s core competency (meaning, it directly aligns with the value proposition with which you face the market). If AI is a key component to your organization’s value statement, you might want to consider if you have the skills in-house to execute on your workflows. If that isn’t the case for your organization (which it likely is not for a provider), outsourcing your workflow to an automation vendor will help you harness the same impact without straining your internal resources.

9. AI inherently possesses the ability to learn from itself.

AI “learns” by analyzing test data and determining which inputs translated to a given output. It will make its best educated guess based on the data it has at its disposal, but just like humans, it needs additional support to help it differentiate “right” from “wrong.” Often, humans will re-train the algorithm to help it refine its predictions.

10. AI is still too risky to apply to healthcare.

There are too many applications of AI in healthcare––from diagnostics to imaging to revenue cycle management––for reservations to pervade the entire healthcare industry. It’s true that in a clinical setting, AI can pose a greater risk because the stakes of being “right” are much higher. However, administrative AI is a burgeoning subset of healthcare AI that focuses on improving operational efficiency by optimizing data transfers between healthcare tools and systems. In our experience, the impact potential is undeniable: one of our customers was able to reduce their Days in Accounts Receivable by 34% in the first 180 days of using AI to manage their organization’s insurance eligibility checks.



Even though healthcare AI still is a new concept and will continue to be defined over time, early signs indicate that the sky is the limit in terms of its potential to benefit an organization’s operational efficiency. If your organization is looking for ways to harness the power of automation and AI, reach out to us today to learn more.

*That said, Olive isn’t one of those “Brain in a Jar” companies (as we like to call them). Our AI solutions automate your repetitive and high-volume tasks so that you can reap the rewards of AI without having to sacrifice your team’s time and bandwidth.

Olive at Grace Hopper Celebration 2018

Olive at Grace Hopper Celebration 2018

I was fortunate that Olive sent me to attend the Grace Hopper Celebration (#GHC18)in Houston, TX, this year. It was an amazing and inspiring three-day event with 20,000 female technologists from across the globe. I was able to attend workshops and presentations on Artificial Intelligence (AI) and Machine Learning (ML), data and privacy, and career development presented by thought leaders from Google, Amazon, Deep Mind, and other industries.

Best of #GHC18? The best part of my GHC experience was:


A. Building a serverless scheduler web app in Amazon Web Services (AWS) by creating buckets on S3, setting up static website hosting, creating a DynamoDB table to store schedule information, creating and testing three Lambda AWS functions used to add, get, and update calendar sessions, and creating and deploying an Application Program Interface (API) to trigger the new functions.
Hearing a panel discussion on the future of Artificial Intelligence (AI) and General Intelligence (GI) where we discussed the likelihood of reaching GI in our lifetimes, what our ethical responsibilities are as individuals and corporations as we develop new AI technologies, and how to address reward hacking in AI.

B. Learning more about privacy and security in the IoT space, the lack of knowledge on how massive amounts of collected personal information are being shared, lack of consumer control over personal data, and examples of data being used in unexpected ways.
Meeting New People: There are people from all around the world from the heaviest hitting mega-companies to small startups with bold, new ideas. It’s a great opportunity to find out what people across other industries are working on, the challenges they’ve faced, and the technologies and strategies they employ.

C. Inspiration: Attending #GHC18 and hearing the success stories of women further ahead in their careers, learning about their businesses, and hearing how they’re changing the world left me with a huge boost of inspiration to bring back and share with my colleagues.



I’m lucky to be a part of a company that values diversity and encourages growth.
See you at #GHC19!

20,000 women attend the opening keynote address at #GHC18

Customers Can’t Tell You What To Build

Customers Can’t Tell You What To Build

It’s Your Job To Figure That Out

When you’re building a product for someone, the first thing you need to know is that your customer probably doesn’t care.

They will care. Once you’ve finished the product, put it in their hands, and made their life better, then they will care.

For about as long as it takes them to remember that lunch is in an hour. Then they’re back to not caring.

Such is the life of a product creator. It’s your job to create something new for customers, but it’s not their job to care. This can seem disrespectful. You slaved away, building this product for them. You’ve sacrificed weeks, months, years of your life to make this — and they can’t be bothered to give you a little feedback?

You might feel entitled to at least some attention. You are, after all, building a product for them. Surely they can take some time out of their day to tell you what you should make.

But they won’t, for a couple of reasons:

  1. They don’t care enough to. They have a million other things going on in their life. Things more important than telling a programmer how to do their job.
  2. They’re too busy to. Chances are, they’re busy building something else for someone else. They don’t have time to sit down and go over the product with you.
  3. They don’t know how. They don’t have the skills to create the products they use, and they don’t have the bandwidth to sit around and come up with ways the product could be different. Studies have shown that the only feedback they can give you is feedback about what they’ve already used, not what’s possible. (Considering what’s possible is your job).

They don’t because it isn’t worth their time. People value their own time. “The majority (66%) of adults feel that valuing their time is the most important thing a company can do to provide them with good online customer experience.”

That doesn’t mean it isn’t worth your time, because it is. The reason customers won’t give you attention isn’t that your work doesn’t matter; it’s because they have delegated the work to you and trust you to get it done. The highest authority in any business isn’t the CEO or the board, but the customers. It’s their money that pays the bills.

It’s your job to solve their problem, and to solve it with as little support as possible.

To some people, that sounds harsh. ‘You expect me to solve your problem, without your help?’ It can even seem like a tautology; how do you solve a problem you know nothing about?

In reality, it’s honorable work to have. And deep down inside, you know this. You’re in this position because you decided to make building products for other people your job. You made it your job (hopefully) not because you thought you’d get rich, or because it was easy, but because you find meaning in the work. Appealing to customers to tell you what to do not only produces a worse product; it takes the challenge and the honor out of doing it.

That said, you want to stay receptive to any feedback they have without forcing them to give it. People may not be able to imagine what will make them happy, but they can tell you how they feel about what’s in front of them right now.

Not getting in the customer’s way is almost as important as making the product in the first place. One study showed that 74% of customers are likely to switch brands if they find the buying experience difficult, no matter how awesome the product. This is a painful loss because it costs anywhere from 5 to 25 times as much to acquire a new customer as it does to keep a current one.

If your customers could help you that much, you’d be out of a job.

As it so happens, they can’t. By virtue of their position, they lack the objectivity they need to understand their problems. By virtue of their jobs, they lack the skills necessary to engineer a solution to their problems. And by virtue of their daily responsibilities, they lack the vision to consider other possibilities.

“I think Henry Ford once said, ‘If I’d asked customers what they wanted, they would have told me, “A faster horse!”’ People don’t know what they want until you show it to them. That’s why I never rely on market research. Our task is to read things that are not yet on the page.”
Steve Jobs

Your customers may not be able to actively help you, but they are still a valuable source of information. Their behavior is feedback in and of itself.

  • If they receive what you build with no comment, it communicates something. It could mean that your solution is so compelling that they don’t need to worry about it anymore. Or it could mean they’re not using your solution because their previous one is easier for them.
  • If they react positively, that doesn’t mean it’s time to pump the breaks. It means whatever you’re doing, you’re doing right. You should be doing more of it.
  • If they receive your product with reluctance (or outright complaints), it means you’ve taken a wrong turn. Don’t wait until they complain about the product or cancel their service. Make sure to identify what’s causing the friction and solve it before it becomes a more significant problem.

“The best customer service is if the customer doesn’t need to call you, doesn’t need to talk to you. It just works.”
Jeff Bezos

It’s an honor to create products for people. Nothing matches the satisfaction you get when you see something you made changing the lives of countless other people. People are leaving it up to you to create something for them. And when they start using it, you know it isn’t because someone forced it on them, but because it makes their life better.

At Olive, we make Artificial Intelligence for doctor’s offices and hospitals that handle administrative tasks, so healthcare employees can do what they do best — take care of their patients. Check out our website to learn more.

Olive (f/k/a CrossChx) Closes $32.8 Million Series D Financing

Olive (f/k/a CrossChx) Closes $32.8 Million Series D Financing

Funding led by Oak HC/FT and Ascension Ventures to enable company to accelerate product development and scale its technology to healthcare organizations nationwide

CrossChx rebrands itself as Olive to reflect commitment to building meaningful AI-enabled robotic process automation solutions for healthcare

COLUMBUS OH, July 30, 2018—Olive, the premier healthcare-focused robotic process automation and artificial intelligence company, announced today that it has raised a $32.8 million Series D round from Oak HC/FT and Ascension Ventures with participation from existing investors. The round will help the company scale its eponymous AI solution, Olive, throughout healthcare organizations nationwide and invest in new capabilities such as Pupil, its process mining tool, that will be launched at alpha sites this summer.

“Hospital operations have grown unsustainably complex as providers must adopt new technologies, workflows, and regulations with increasing frequency in order to provide best-practice care,” added John Kuelper, Investment Director at Ascension Ventures. “Olive’s cutting-edge process mining and automation technologies are enabling our firm’s health system partners to continually optimize clinical and administrative operations so caregivers can spend more of their time on patient care.”

“Olive arrives at a time when healthcare organizations are burdened with improving efficiency, reducing costs, and enhancing the patient experience,” said Sean Lane, Founder and CEO of Olive. “Olive handles repetitive, high-volume tasks, which allows employees to get back to patient care and presents healthcare organizations with value that could not otherwise be realized.”

“As the first healthcare automation solution on the market using AI to streamline repetitive tasks and workflows by working with existing systems, Olive is uniquely positioned to counteract the ever-increasing cost of healthcare and humanize the cumbersome process,” said Billy Deitch, Principal at Oak HC/FT. “We are excited to partner with Olive to deploy its innovative technology at scale.”

Billy Deitch, Principal at Oak HC/FT and John Kuelper, Investment Director at Ascension Ventures, will join the company’s board of directors.

Earlier this year, Olive divested its legacy Connect platform and related products including Connect biometrics, Queue registration kiosk, and the CrossChx Connect mobile app to DHS Group.

Olive is a healthcare-specific artificial intelligence and process automation company that empowers healthcare organizations to improve efficiency and patient care while reducing costly administrative errors. Its eponymous AI solution, Olive, acts as the intelligent router between systems and data by automating repetitive, high-volume tasks and workflows, providing true interoperability. Olive has helped healthcare organizations reduce data and billing errors, eliminate denials for no coverage, improve cash collections by reducing days in A/R, and more. To learn more and receive updates, visit www.oliveai.com.

Founded in 2014, Oak HC/FT (http://oakhcft.com) is the premier venture growth-equity fund investing in Healthcare Information & Services (“HC”) and Financial Services Technology (“FT”). With $1.1 billion in assets under management, we are focused on driving transformation in these industries by providing entrepreneurs and companies with strategic counsel, board-level participation, business plan execution and access to our extensive network of industry leaders. Oak HC/FT is headquartered in Greenwich, CT with offices in Boston and San Francisco. Follow Oak HC/FT on Twitter, LinkedIn and Medium.

Ascension Ventures is a strategic healthcare investment firm with four funds and more than $800 million in capital under management. The firm was launched in 2001 by Ascension, the nation’s largest Catholic and non-profit health system, and today invests on behalf of thirteen of the nation’s leading community health systems. These health system limited partners collectively operate 474 hospitals, have 578,000 employees and generate $88 billion in annual revenue. AV collaborates with these partners to identify, invest in, and support strategically aligned private companies that are transforming the healthcare industry and enhancing the experience for patients, their families, and caregivers.

AI Will Make Healthcare More Human Than Ever. Here’s How.

AI Will Make Healthcare More Human Than Ever. Here’s How.

Originally published in Health:Further

With the rise of robotics and AI across virtually every industry, the fear of “will a robot take my job?” is more pressing than ever. In the healthcare world, at least, that future couldn’t come soon enough.

The U.S. healthcare system is advanced in so many ways, yet one of the most glaring problems that still plagues it is a lack of interoperability, or as we like to say, the lack of the “Internet of Healthcare (IoH).” In the literal sense, the Internet of Healthcare means connecting networks—connecting health systems, connecting data, connecting patient information and more. It means turning healthcare from a series of intranets connected by fax machines, to a true internet connected by AI as the “router.”

That’s a far cry from the healthcare experience we face now. Today, just getting into a hospital requires mountains of paperwork, faxes, and family medical histories that often take longer to fill out than the hospital visit itself. In one of the most vulnerable and human professions that exists, patients are left feeling like just a number.

The reason this exists is because our existing healthcare technologies were not built to share data. They were built as fortresses to protect the data of patients at each instance, and to make sure that data was available only within the walls of that system.



As a result, humans had to take on the job of the router, the data processor, the transmitter. This phenomenon has shifted the hours spent by humans from being in front of patients to being in front of computer screens, logged in to many user interfaces, shepherding patient data into the right fields. Licensed caregivers’ quality of life have been pummeled by this new role, and the consequence comes in the form of burnt-out employees, skyrocketing administrative costs, less human-to-human experiences, and most importantly, subsequent decreased quality of care.

It’s easy to throw stones at the software that exists and excoriate them for their lack of data sharing capabilities. However, they were just a product of the requirements they had to meet to become certified and meet a rather daunting set of standards imposed by the federal government. It’s not clear that data sharing should have been introduced into the requirements framework earlier or more aggressively, and it’s not clear if diagnosing that now does us any good. The reality that exists with healthcare technology is that we now have to figure out how to scale that technology to the next level.

We think AI is the solution to scaling that technology, to taking the robot out of the human and propelling human potential further than we’ve ever seen it.

So, what does the world look like when we “take the robot out of the human?” I won’t comment on what it will look like in other industries, but here’s how I see it playing out in the healthcare industry.

1. Insured patients no longer incur unexpected out-of-pocket costs because of registration issues or human error. Instead of filling out insurance information at intake, AI helps hospitals understand patients’ coverage before they even set foot through the door. The same people who spend their days inputting information into EMRs can focus on actually talking to, and understanding, the patients who are there to see them.

2. Patients’ identities are reconciled across multiple departments, even multiple hospitals. By knowing exactly who is coming through the door, and why, AI helps hospitals cut down on doctor-shopping and drastically reduce overdoses on prescription medications.

3. Ride-sharing vehicles are dispatched to the patients who need them the most. Instead of relying on patients to find their own way to the hospital, AI detects which patients have the greatest no-show risk, then dispatches a vehicle to get them the care they need, when they need it.

4. Patients are seamlessly matched to cutting-edge technologies and clinical trials. Finding clinical trial participants can be like finding a needle in a haystack, and it can be the difference between life and death for tens of thousands of people every year. AI gives us the framework not just to enrich those lives, but to save them altogether.

5. Clinicians no longer spend six hours a day entering data into an EMR. Instead, AI transcribes notes from each patient exam and submit them for approval. Burnout decreases, energy improves, and clinicians get to spend their time doing what they care about most.

What’s common about all of those experiences? Humans aren’t out of the picture. In fact, they’re more a part of the picture than they are today. With AI as the router, humans finally have the time, the energy, and the bandwidth to focus on what matters most: the patient.

The current zeitgeist around AI is trepidation about whether or not it will take human jobs, but I believe we will be able to achieve so much more as a humankind with the assistance of AI. It’s true, AI will certainly take parts of our jobs, reconfigure our jobs, but that’s exactly what we need in healthcare today.

We can use AI to take over the Button Olympics that humans are enduring in hospitals across the country. AI can transmit the data where it needs to go, and use global awareness to ensure the right data goes to the right place. AI can turn the human-powered Internet of Healthcare into a technology-powered internet, without having to overhaul the immense infrastructure that has already been put into place. With AI doing all of these things, humans can focus more on creativity and empathy, on the skills that no machine can recreate.

AI largely is not trying to replace humans, just trying to replace some of what humans do. Imagine what healthcare would be like if we could take the robot out of the human. Think about how much better off, and happier, and more fulfilled, the workforce would be. That’s the world I am dedicated to building.

Integrate with Nothing. Outegrate with Everything.

Integrate with Nothing. Outegrate with Everything.

As technologies have rapidly improved and advanced in their cognitive abilities, humans have willingly deduced themselves to manual routers of information. But wait… weren’t computers supposed to do that? I want us all to change the way we think about AI in order to build communities, not walls. AI should be used to scale human capacity rather than replace human necessity, and work side-by-side with healthcare employees of all levels and specializations.

I spoke at the “Machine Learning and AI for Healthcare” event at HIMSS a few weeks ago and because there wasn’t any video footage I wanted to at least share my thoughts on AI in this blog post.

I truly believe that it will require all of us to solve the problems that exist within healthcare by changing the way we think about AI in order to build communities instead of walls. That’s why I titled this “Integrate with Nothing, Outegrate with Everything.” I know what some of you are thinking. Outegrate isn’t even a real word. Let me tell you from personal experience, you can’t be a successful startup without having the ability to dress funny, use words like “disrupt,” “lean,” and “unicorn,” and lastly you can’t be a successful startup without having the ability to make up words once in a while.

Some of you may remember CrossChx as the startup that brought a DeLorean to HIMSS two years ago, with our “lobby of the future” concept. We were focused on solving the problems around identity and data resolution. Based on the success that came from creating a unique global patient ID, our customers requested our help to further reduce costs that are incurred by the stress points associated with manual processes that result in claim rejections, denials, no shows, and more. We knew we had an even bigger opportunity to solve massive problems in healthcare with AI. What we believe is that for AI to be truly useful, it must be indistinguishable from a human and that AI should do what machines do best — leaving the tasks that require creativity, empathy, and passion to people.

Now that you know a little bit about our story I want to set the tone for why I believe what I believe by sharing my personal story.

I was born in India to Aviraj and Sureka, and I have an older brother named David. If you’re Indian, or know someone who is, you know that there are a plethora of people in Indian families. Some that you know, and some that you will never meet, but that’s just the way it is. Until I was six years old, there were twelve of us living in four bedrooms, sharing one kitchen and one bathroom all on the bottom floor of an apartment building. When we immigrated to the United States in 1991, I met nearly a hundred more family members and we all lived within a ten mile radius of each other in the suburbs of Washington, D.C. The biggest lesson I learned throughout my childhood was that community matters. There was always a reason to celebrate…Thanksgiving and Christmas? Let’s get a hundred people together and pack them into the smallest place possible. You got a new pair of shoes? Great! Let’s celebrate that by going out to eat!

Historically, humans were centered around family and communities.

Generation after generation lived together under one roof, and when families did live separately, they never moved very far. We have since become a more individualistic culture. We walk around all day with our heads buried in our phones. We rely on ourselves. We live far away from where we were raised. Our connections with other people sometimes take place most often in the workplace.

It seems as though some of the technologies within healthcare have succumbed to the same mindset.

Now there are plenty of inventions that have helped us connect what was once disconnected. Think about electricity, the automobile, railways, mobile telephones, Facebook, and the list goes on. On the flip side we also know that there are plenty of technologies that do not help us become more connected. Healthcare, for example, has made significant investments into EHR’s, email, phone, chat, analytics, patient portals, and revenue cycle tools. Not to mention the time spent on hiring and training staff on these applications at disparate parts of an organization.

Instead of these technologies existing within a cohesive community that benefits both the patient and provider, they have built walls.

These are pervasive problems that I’m sure each of us have to deal with on a daily basis, but imagine what that must feel like for healthcare workers around the world. You could walk around most healthcare trade shows and slap vendor logos on each one of these walls. Most technologies require expensive integrations and the client is stuck paying the bill and allocating their IT staff to complete each of these projects.

“The sheer volume of healthcare data and the industry’s inability to tap its potential adds up to more than $300 billion annually in wasted value. Add to that compliance with federal privacy laws, and it’s no wonder patient care is often a mess. Multiple health data sources keep information such as clinical, financial and operational data siloed and separated, a problem that’s compounded by each data system’s unique validation rules, formats and key identifiers. With different databases and software systems holding different subsets of data, it’s difficult to get a complete picture of a patient — so accurate analysis of all that information is tough to do.”The McKinsey Global Institute.

Because of the lack of interoperability with these technologies, human employees such as clerical staff, nurses, and even doctors, have become the routers of information.

Transferring data from one system to another. Typing and clicking their way through routinizable tasks, and spending less time focused on direct-patient care. Recent studies have shown disturbing trends in physicians spending nearly 50% of their time working within the EHR and other technologies that they use. Aside from being stressful and tedious, clerical processes are naturally prone to human errors– errors which can ultimately cost organizations tens of thousands, if not hundreds of thousands of dollars each year.

So what can AI do to help scale human capacity rather than replace human necessity?

Let’s begin by helping hospitals and health systems optimize operations. AI allows healthcare organizations to automate a variety of tasks including eligibility, order management, prior authorizations, claims processing and more. AI doesn’t compromise the IT infrastructure you already have in place– it merely helps you run the tools you already have more efficiently.

Earlier I talked about the investments that healthcare organizations have made in a variety of technologies. When you hire someone, you don’t expect them to show up with their own applications to perform their duties. So why expect your AI to do the same? Instead, we should expect AI to adopt the tools that are already in place and use them to perform their duties just like any other human. Just like an employee, an AI solution can get an email address, EHR or system account, a VPN, and access to any other necessary tools that are essential to fulfilling an employees duties.

Because AI can work 24 hours a day, 7 days a week, and 365 days a year, it will empower healthcare workers to spend less time processing data and more time focused on direct-patient care.

There will be obvious benefits that will come from AI including cost reductions, increased revenue, time saved, satisfaction for staff and patients alike, but for the sake of the people on the front lines of healthcare I truly believe AI will help reduce burnout and help scale human capacity by allowing us all to focus on the things that can only be accomplished by the wonders of the human brain.

Let me give you a quick example of what is possible with AI. I recently went on a site visit to a rural hospital in Georgia that has implemented AI to handle their eligibility and order management process. This is a 50 bed hospital, that is more than likely the largest employer in the area, and they didn’t even flinch when they saw AI as an opportunity. Instead of the doom and gloom that can be associated with AI, they focused on the overall positives.

The entire leadership team there got together and decided to send their Director of Patient Access to Disneyland for the Quality Service course taught by the Disney Institute. She was able to come back and reallocate her staff to direct-patient care and customer service needs rather than focusing on the repetitive, high-volume processes that they used to handle. Now will everything be that easy? Maybe not, but it does give us a glimpse of what is possible.

Now, let’s talk about how implementing AI can help not only organizations, but actual patients. Imagine having hundreds of instances of AI live at health systems around the country. Let’s say that you are traveling across the country for a family reunion and while you’re eating at a rest stop you chip a part of your tooth. Now you don’t want to show up at this reunion with a chipped tooth so you text and AI solution and say “hey I chipped my tooth can you find me a dentist that I can fix it for me asap?” The AI solution replies back and says “there are five dentists in this area that take your insurance and since I am logged into their schedules. I can tell you that these are the available times which one would you like for me to schedule?” You text back ”2pm” and then the AI solution gathers all the information of dentists you’ve ever been to, puts it together, and inserts it into the system of the dentist that you are going to. There’s no need for forms, or eligibility checks. The necessary information and data is there. That is the type of future that we can provide to consumers and that is the type of future that I want to be a part of with AI.

Click Less, Care More.

We work in an industry that has historically been left behind in technological revolutions — so it’s incumbent on each of us to make a commitment to move our technologies and organizations forward with AI. Once we’ve delegated our data heavy tasks back to computers, we’ll empower our teams to stand back up, click less, and care more. Doctors, nurses, and even clerical staff will finally be able to give their full attention to creating communities within your health networks, without the stress of tasks that are better suited for machines. AI will work alongside of us — not instead of us — in every department, of every organization. When our human capabilities are augmented with AI, we can create communities instead of walls like we’ve always imagined. Integrations cause stress, confusion, and headaches… but outegrations can transform our facilities into innovation centers capable of transforming the way we provide healthcare.

If you would like to learn more about how CrossChx is helping hospitals and health systems around the country Outegrate with Everything by hiring Olive, our AI solution, please visit hireolive.com/outegrate