Being one of the vitally important industries, healthcare has already become the top revenue earner for multiple leading countries across the globe.
In the United States alone, the estimated industry revenue for 2021 has reached almost $2,710 billion,according to Statista, and these numbers will only increase in the upcoming years with the wider use of technology-enabled solutions such as medical chatbots, AI, robotics, IoT and of course, machine learning algorithms – the last one has made a huge contribution into the “smart” healthcare development.
In this article, we’ll demonstrate the major machine learning use cases in healthcare, as well as introduce the benefits of its implementation and the future trends of ML technology development for the healthcare industry.
As a part of our discussion, you’ll be able to learn the central challenges of machine learning and, finally, uncover how to successfully develop the software solution exactly for your business goals and needs.
Major Benefits of Machine Learning in Healthcare
At present, implementing various innovative technological solutions in the healthcare industry has already become a common practice.
We can now use machine learning algorithms for new drug discovery and advanced research, provide an effective, highly personalized treatment, achieve better imaging and diagnostics, detect and prevent diseases in the early stages, improve patient engagement, and many more.
And those are no longer the future but already a fact: Google has rolled out the ML algorithm that identifies cancer in mammograms, while Stanford University scientists use deep learning to detect various forms of skin cancer.
These are only a few of thousands of brilliant examples of machine learning in healthcare. With this said, let’s now analyze the narrow scopes of successful ML usage: from the disease diagnosis and treatment to its prediction and prevention.
Diagnosis and Disease Detection
The most effective area of use of machine learning in healthcare is disease identification and accurate diagnosis. The thing is that some specific diseases, such as different types of cancer or genetic diseases are very hard to detect, especially in their initial stages.
The machine learning algorithms, however, can identify those based on the information and other specific characteristics known, yet provide detailed recommendations of the possible treatment strategy in clinical conditions.
EHR Storage and Management
Along with the advanced machine learning technologies implemented, there is still a significant problem with effectively keeping the patient health records, as it requires a lot of time and effort to fill in all the records and track the changes. However, these processes can be optimized with the use of vector machines and ML-based OCR recognition techniques.
For instance, the Medical Vision from Google helps to access the relevant disease information based on the image analysis, which works perfectly for various skin diseases. Or else, with the machine learning algorithms from MathWorks, it becomes much easier to digitalize handwritten medical records with specific recognition technology.
Diabetes Prediction
According to the latest data from International Diabetes Federation, the total number of people aged 20-79 years living with diabetes is approximately 537 million as of 2021, and this number is projected to rise to 643 million by 2030 and 783 million by 2045 – in overall, that’s a 45% increase!
However, knowing that diabetes mostly damages the kidneys, the heart, and nerves, it’s possible not only to diagnose this dangerous disease but predict and prevent its occurrence.
As an example, outstanding classification technologies like the Naive Bayes Algorithm, Decision Tree, and SVM employ a set of various machine learning algorithms for detecting diabetes resulting in a positive or negative prediction.
Liver Disease Analysis and Prediction
Another important aspect of using machine learning algorithms in healthcare refers to the early prognosis of various liver diseases. Being one of the most essential organs for metabolism, the liver is also highly vulnerable to serious illnesses like chronic hepatitis, liver cancer, cirrhosis, and many more – all these diseases are extremely hard to predict.
Nevertheless, after the implementation of machine learning in healthcare industry, this process has undergone a significant shift: now the ML classification and clustering algorithms can effectively predict liver disease using enormous amounts of medical data.
The most prominent machine learning use cases in healthcare refer to building up a more effective treatment plan based on the EHI records for each patient individually.
So, the patient receives a personalized treatment strategy based on his specific health characteristics, gets recommendations about the most effective drugs and accompanying procedures that can enhance the recovery process, and finishes the treatment in shorter time frames.
Additionally, machine learning algorithms are now widely used to change the common behavioral routines and unconscious activities of any person, which can be dangerous from the long-term perspective and result in serious diseases such as, for example, cancer or diabetes.
Dealing With COVID-19 Infections
The last but not less important scope of using machine learning in healthcare is its employment for learning and fighting COVID-19. According to PubMed, scientists and researchers are now developing ML technology for 2 major applications:
Diagnosing the COVID-19 disease;
Predicting the mortality and severity of this infection based on the detailed analysis of the patients' age, LDH, CRP, Oxygen Saturation, Lymphocyte, Comorbidities, and many other factors.
The core datasets for the machine learning implementation consist of the most reliable yet accurate data: clinical and laboratory records. As a result, this ML tech solution is aimed to enhance the worldwide efforts to control and manage the virus, and hopefully can help to curb it completely.
What’s the Future of Using Machine Learning in Healthcare?
Human life is the most valuable thing to care about, so advanced technologies like machine learning without a shadow of a doubt will only gain popularity in the future.
The powerful ML algorithms have already learned how to track and analyze health information and various patient indicators, deliver tons of helpful data for doctors, assist in composing an effective treatment plan and the best care as the outcome.
Create high-end software solutions for your company with Intellectsoft
Moreover, the market size of healthcare artificial intelligence solutions during the period 2020-2026 will grow at a CAGR of over 46.21% and is estimated to reach revenues of $44.5 billion by 2026, according to Bloomberg. Such a tremendous demand for AI solutions means there has never been a better time to enter the healthcare technology market and get on top of the competition within a specific niche.
5 Best Examples of Machine Learning in Healthcare
If you’re curious about the practical examples of how is machine learning used in healthcare today, the best way to enhance your expertise is to analyze the most successful ML projects within the scope. Below you’ll find the list of feature-rich tech solutions for medical scope developed by the world’s largest tech giants and those created in startups as well.
#1 IBM Watson Genomics
Being one of the most outstanding cases of implementing machine learning in healthcare projects, this project is now successfully used for effective disease diagnostics and treatment. It employs cognitive computing solutions with genome-based tumor sequencing and speeds up the diagnosis process.
#2 PReDicT Project
Predicting Response to Depression Treatment project is a novel medical device aimed at enhancing the treatment and management of depression in clinical practice through creating personalized treatment approaches for patients.
According to recent studies, depressed patients often do not respond to the first antidepressant prescribed, resulting in sequential trials of different medications. However, the predictive machine learning algorithms can assist in guiding the antidepressant treatment based on the results of behavioral tests of affective cognition and subjective symptoms the patients have.
#3 Cloud Vision API
Designed by Google, this application enables providing the relevant information based on the image input. It is available for both mobile and web users and can be utilized by both healthcare workers and people that have no expertise in medicine.
The 5 features of Medical Vision are object detection, web detection, object labeling, safe search, and image properties, and they help to access the most relevant information the user searches for based on the detailed image analysis.
#4 SafeBeing App by Somatix
This project is aimed to track and change the common behavioral habits of a patient such as physical activities, hydration, medication intake, sleeping, heart rate, pressure sore risk, and many others that can impact the person’s health and overall well-being using a simple wearable device on a hand.
The algorithms passively collect the data 24/7 and analyze it to identify alerts, insights, and reminders that are relevant exactly for the certain patient. With this essential data, users can get various health details that can benefit the treatment process and help to maintain a healthy lifestyle as well.
#5 Project Hanover by Microsoft
Focused on technology precision medicine development, this technology empowers medical workforces to comb through the thousands of documents published each day in the biomedical literature, flag and rank all the sources that are potentially relevant to researchers, such as, for instance, information on the gene, mutation, drug, and patient response.
This project was originally designed for oncology researchers that need to deeply study and interpret cancer-related information fast and efficiently.
For serious diseases like cancer treatment, where thousands of new researches are published every day, such a machine can become one of the most critical game-changers: it can scan all the latest resources and help cancer specialists to answer specific questions.
Though these machine learning algorithms in healthcare are still in the early stages of their development, it is expected that Project Hanover can be similarly utilized for the other medical fields that work with big data.
The Biggest Challenges of Machine Learning in the Medical Industry
Once you’ve learned the main benefits of machine learning in healthcare, it’s time to consider the challenges you and your team may face when working on the ML project for your business.
Data Security
Overall, the medical records still represent the patient information, which is personal and forbidden for access. Moreover, some laws and regulations in healthcare, such as HIPAA or GDPR, require EHI encryption to ensure the data won’t be accessed by third parties.
Algorithms Transparency
Transparent algorithms are not solely required to meet all the drug development regulations. Apart from that, it should also provide a clear understanding of the analysis conducted by machine learning algorithms.
EHR Optimization
According to the American Hospital Association (AHA), nearly 93% of hospitals have already implemented the EHR into their workflow in the US, but worldwide statistics are still far from ideal.
For instance, in the developing countries that are developing, these practices are still in the early stages of implementation, which makes the ML technologies helpless. That is why focusing on the EHR system is simply a necessity.
Long-Term Data Analysis
Machine learning technology is in the early stages of growth too. So, even if implemented properly, it still lacks value from the long-term perspective, as the specific health indicators and patient diseases tracked today using machine learning in healthcare can barely reach 5 years of time.
Of course, with the algorithm's updates and improvements, this situation will change for the better, but at present, the data used by ML is still not enough for a deeper analysis and use.
Lack of Expertise
Finally, not all developers possess enough expertise to create and implement the perfect ML solution, and even fewer of them can adapt it specifically for the healthcare and pharmaceutical industries.
Wrapping Up
To sum up, machine learning refers to the most significant yet popular technologies that are widely incorporated into the various healthcare IT solutions and software services. Learning the basic machine learning use cases in healthcare allows you to better understand its potential, uncover its major benefits and get the valuable source of features to include in your upcoming business project.
If you’re looking for a professional team of software developers, Intellectsoft’s crew is always here to assist. With vast experience in creating top-notch software solutions for healthcare, our developers can always keep you in the loop regarding the latest trends in medical scope, as well as can help you to pick up the most effective functionalities that perfectly fit your project requirements and business goals, yet employs the innovative approaches of the machine learning technologies.
Here, at Intellectsoft, we are constantly in search of the latest innovations and advanced tech solutions in healthcare for our clients to take their organizations to a completely new level of development. Are you ready to implement the changes into your business?
Talk to our experts to uncover how to effectively implement machine learning technologies into your healthcare organization and start benefiting from it today!
The hospitality industry depends a lot on keeping customers happy, but it’s getting harder to attract and keep them. The pandemic hit this industry hard, and now market competition is tougher than ever, with competitive offerings swaying customers. Hospitality businesses are willing to spend big to win customers back. The main questions for many are: how can we stay ahead of the competition, keep our customers, and increase revenue? Keep reading—we’ve got some answers.
Customers today have so many options that getting their attention is a real challenge. It’s not easy to make them choose your business over others. What worked 10 years ago doesn’t work the same way now. Back then, people often chose businesses based on reputation. But with new types of businesses (boutique hotels, craft cafes) popping up or big enterprises getting a new strategy, expectations have changed. The good news is these businesses have shown what works: great customer service. They focus on personalizing the experience, making things easy for customers, offering loyalty programs, and using smart technology.
In this article, we’ll explore these tech strategies and show you how they can help your business grow, and double the revenue. Keep reading to learn more!
The Importance of Customer Satisfaction in the Hospitality Industry
Customer satisfaction, which equals exceptional customer experience, is the backbone of the hospitality industry. It plays a central role in driving revenue and loyalty, as satisfied customers are more likely to return and recommend a hotel, restaurant, or other hospitality business to others. In fact, a study by the Harvard Business Review found that a 1% increase in customer satisfaction can lead to a 0.5% increase in revenue. Moreover, loyal customers are more likely to forgive mistakes and continue doing business with a company, even if they experience a negative encounter.
Let's quickly review the challenges the hospitality industry is facing right now so we can move on to the solutions and our case studies.
Challenges in Hospitality
As businesses navigate the changes in the hospitality industry, there are some key areas where a little improvement can go a long way. From improving customer service to embracing digital transformation and tackling labor shortages, we’ll take a closer look at today’s biggest challenges—and, more importantly, how technology can step in to help. Let’s get started!
Poor Customer Service
Even with strong and high-quality business offerings, poor customer service can drive potential customers and existing customers away. Common issues include:
Long wait times in customer service queues (it is worth remembering that our attention spans 8 seconds, and we live in a very busy world, so quick and efficient responses are more important than ever.)
Poorly trained customer service representatives
Lack of follow-up
Services not being done properly or quickly
Recall issues that require multiple service calls
These problems can frustrate customers. But, at Intellectsoft, we believe that the right approach, combined with technology, can address them effectively.
Digital Transformation Gaps
Approximately 50% of hotels are adopting new technologies, with 43% automating repetitive tasks and 39% upgrading existing systems. Source: workstaff.app
While many businesses are adopting digital solutions, some still struggle with outdated systems and fragmented data. Legacy companies often face chaos when trying to manage their data and create new systems or add features.
Some of the recent examples include clients coming to us to create AI solutions for their services while their data simply was not ready for the advanced tasks. We advise stepping back, communicating with a company objective, and working on keeping the data clean (centralized, structured, and segmented).
When we’re asked to create advanced systems using AI, we always emphasize the importance of organized data. To train AI and build such complicated systems that truly work, you need to start from the very beginning—collecting, storing, centralizing, and organizing it. We encourage our clients to align all departments to work internally on the data so we can create a unified digital system that delivers personalized experiences.
If you’re unsure where to start with your data, we can help. Collecting feedback at various touchpoints along the customer journey is crucial for gaining insights into customer satisfaction and loyalty. Book an IT consultation with us, and our experts will guide you in mapping out a path to get more from your data and build a system that works for your business and team.
Reskilling Staff
The pandemic hit hard in early 2020, especially for the hospitality and travel industries. Even five years later, many businesses are still feeling the impact. Recruiting and retaining skilled staff has become a major challenge post-pandemic.
Reskilling to address technology’s impact is of utmost importance, as about 40% of hotel General Managers place it among their top three workforce challenges.
We strongly believe that adopting the right technology can help. For example, creating an app to train your staff not only saves time but also ensures consistency in learning. AI assistants can also work alongside your team, helping with tasks like recruitment (providing industry insights, crafting emails) and staff training. Imagine having an app dedicated to making your team’s work easier and more efficient!
How Technology Tackles These Challenges and Supports a Customer-Centric Hospitality Culture
Automation, AI, and similar technologies may threaten many. However, the debate about replacing humans isn’t about that—it’s about cooperation and working hand in hand with technology to achieve the highest standards and establish brand-new “golden standards.” Technology is here to assist staff in listening to and collecting customer insights from data.
Let’s review some of our cases to see examples of how technology helps improve customer experience and supports customer service.
Examples of Intellectsoft projects
Property management systems (PMS)
We created a web platform and mobile app that makes managing daily tasks easier and offers extra services to improve residents’ experience. It gives a clear overview of daily activities and helps with managing units and users. Residents can easily book amenities, submit service requests, and report incidents. The platform also includes features for equipment management, key instructions, workflows, and custom permissions. This makes it easier for staff to stay on top of equipment and ensure residents have all the information they need. Plus, tools like announcements, quick votes, a forum, and a community calendar help build a connected and engaged community.
Guest Experience Management App
Our next app helped our client improve their guest experience by replacing printed marketing materials and the need for phone calls with a smart solution. Now, guests can easily order in-room dining, make reservations, and interact with staff— through a simple tablet in their room. The solution includes three parts: a custom in-room tablet with a variety of services, an admin panel for hotel staff and service providers, and a backend system that connects everything together. This approach makes things easier for guests and staff, improving both convenience and efficiency.
Existing Customers First: Building Loyalty with Personalized Touchpoints
Keeping existing customers is not just a strategy; it’s well-known that retaining existing customers is more cost-effective than acquiring new ones. In fact, research shows that it costs five times more to acquire a new customer than to retain an existing one. KPMG named customer retention as the number one revenue driver for the company.
Moreover, a 5% increase in customer retention can lead to a 25% to 95% increase in profits, showing the significant impact loyal customers can have on a business’s bottom line. Retention strategies, like personalized experiences and loyalty programs, can foster long-term relationships and generate recurring revenue, ultimately making them an invaluable part of any business model.
Personalization: How Technology Can Help?
Everyone loves to feel special—it’s part of being human. In hospitality, personalization has evolved from being a luxury to an essential standard. With the right technology to manage your data effectively, you can deliver those “wow” moments that guests won’t forget.
More than half of hotel chains are already using personalization features on their websites, booking platforms, and apps, and another 39% are planning to follow suit soon. They’re tailoring experiences to fit guest preferences perfectly.
Source: Deloitte
How does technology make it happen?
CRM Systems: They help you keep track of guest preferences, booking history, and special requests so you can offer services tailored just for them.
Loyalty Programs: Personalized rewards and offers show your guests that you value them, keeping them coming back for more.
AI Personalization: AI analyzes guest data to predict what they’ll love (from room upgrades to local recommendations) before they even ask.
IoT Gadgets: Smart room features like voice-activated assistants, or temperature controls adjust to your guests’ preferences, making their stay more comfortable.
With tech-powered personalization, you’re building loyalty and maximizing the lifetime value of every customer.
Our Case Study: Smart Hotel Management & Loyalty Program
For one of our clients, we created a smart room solution, complete with a custom IoT system. Guests can use a mobile app to control services, explore amenities, and find resort information-- with a special touch to their suite type. For the client’s entertainment business, we improved their legacy software by running a full IT and code check, fixing issues, and making the system better for customers.
Along with that, we developed a mobile app for the loyalty program, allowing businesses to effortlessly reward their customers and keep them engaged with exclusive benefits.
Our solutions not only helped the client with special experiences for guests; it also improved operations, cutting costs by eliminating inefficiencies. Here's what our experts shared:
"We transitioned away from ESB (Enterprise Service Bus) systems, which previously cost millions, and replaced them with more efficient, self-managed solutions. Similarly, we’ve implemented Device Farms that improved operations and saved resources."
Leveraging Software to Increase Upsell Opportunities
Here are some examples of tech tactics that will help your team sell more and introduce new offerings to existing customers, improve overall efficiency leaving your team grateful:
Dynamic Pricing Algorithms
For finance and marketing teams, manually calculating pricing by segment to introduce your clients can be incredibly challenging. AI-powered tools can strongly optimize these strategies by analyzing your database in detail.
Upselling via Apps
Boosting revenue in the hospitality business often comes down to personalized experiences. Imagine this: a guest books a room, and then your app suggests a spa package or a room upgrade at just the right moment. Later, it nudges them to book a dinner reservation or a guided tour designed to their preferences. With apps offering these personalized recommendations during and after bookings, you’re not just increasing your revenue per guest but also skyrocketing their experience. And you do it in a sustainable way, not by speculating, but by offering what your customers desire based on their previous experiences. It’s a win-win: seamless, helpful, and far from pushy.
Inventory and Resource Management Software
Making every resource count in your hospitality business is key. Inventory and resource management software allows you to effortlessly track everything from linens to room availability, ensuring nothing goes to waste. Having real-time insights to reduce overstock, avoid shortages, and optimize operations assists sustainably keep everything under control and know what you need to focus more. It helps maximize room occupancy by aligning bookings with available resources, ensuring every room and item is used effectively. This approach leads to smarter management, better guest experiences, and a noticeable boost to your bottom line.
Adopting these strategies not only optimizes your operations but also drives business growth. Ready to discover how technology can elevate your goals? We’re here to create a tailored solution for you.
Steps For Implementing a Customer Service Technology Solution
Improving customer service in hospitality doesn’t have to be a daunting task. With the right technology, you can smooth the path of your operations, speed up response times, and elevate the overall guest experience. Here’s where you can make it happen:
1. Understand Your Needs
Start by identifying the challenges your business is facing. Are you struggling to manage high volumes of inquiries, track customer feedback, or personalize the guest experience? Pinpointing your needs will guide you to the best solutions.
2. Pick the Right Tools
Choose technology that aligns with your goals. Look for solutions that are scalable, easy to use, and integrate effortlessly with your current systems. Options like CRM software, live chat tools, or a guest experience app can make a difference.
3. Equip Your Team
Technology is only as effective as the people using it. Train your staff to make the most of the new tools, so they can deliver exceptional service and resolve issues quickly. Confident, well-equipped staff creates happy, loyal customers.
4. Keep Improving
Once implemented, monitor how well the solution works. Are response times improving? Are customers more satisfied? Regular evaluations will help you fine-tune your approach and keep things running harmoniously.
Some Tech Ideas for Hospitality Businesses
CRM Software: Manage customer interactions and preferences.
Guest Experience Apps: Delight guests with personalized experiences right at their fingertips.
Amenity Management Systems: Simplify operations for everything from room service to facility bookings.
Live Chat Tools: Offer instant support and answers.
Social Media Management Tools: Keep customer interactions engaging and organized.
Integrating these strategies will not only improve your customer service but also deliver unforgettable customer satisfaction, loyalty, and, ultimately, your bottom line. Ready to take the next step? Book a consultation with our experts.
Conclusion
To wrap up everything we've discussed, customer satisfaction and experience are at the heart of hospitality. Retaining customers is more than just keeping them around—building strong, long-lasting relationships and consistently meeting their evolving needs. By understanding their pain points and offering personalized solutions, you can inspire loyalty and drive progress. With the right technology and continuous improvement, your business can stay ahead, let go of what no longer serves you, and keep growing.
At Intellectsoft, with over 17 years of experience in software development, our expert team is ready to help. We create everything from mobile apps to full-fledged portals and systems, leveraging the latest technologies like AI, Cloud, and Machine Learning. With deep experience in the hospitality industry, we’re here to craft personalized solutions that bring your business unforgettable customer experience and retain your valuable clients.
Ready to double your revenue and level up your customer retention strategy with personalized technology? Contact our experts, and we look forward to working hand in hand with you to build or revitalize the perfect app or system for you.
We have sent an email to acknowledge receipt of your request. In the event that you have not received our email, we kindly suggest checking your spam folder or alternatively, contacting us directly at info@intellectsoft.net
We will send a short email notifying you that we successfully received your request and started working on it.
Our solution advisor analyzes your requirements and will reach back to you within 3 business days.
We may sign an optional mutual NDA within 1-2 business days to make sure you get the highest confidentiality level.
Our business development manager presents you an initial project estimation, ballpark figures, or our project recommendations within approximately 3-5 days.
Request a Free Quote
4.9
Our rating on Clutch
5
Our rating on Business of Apps
We have offices in:
San FranciscoOsloNew YorkLondon
Contact usRequest a Free Quote
Thank you for your message!
We will get in touch with you regarding your request within one business day.
