Quick Summary: Healthcare is at the forefront of integrating artificial intelligence, which has surfaced as a massive force across several industries. AI is revamping healthcare, driving exceptional efficiency and effectiveness across the industry. AI has a broad and promising future in healthcare, reshaping patient care, medication, diagnosis, and extensive health service administration. This web blog explores the potential, emerging trends, and practical applications of artificial intelligence in the healthcare industry. Read on to get enlightened.
AI in healthcare development services pertains to employing Artificial Intelligence technologies to strengthen diverse aspects of the healthcare industry. It comprises the application of deep learning, machine learning, data analytics, and Natural Language Processing techniques to process and draw conclusions from medical data. This helps assist in diagnoses, automate administrative functions, anticipate disease outbreaks, and much more.
The arrival of AI in healthcare has been revolutionary and has modified how we diagnose, treat, and observe patients. This AI transformation has improved medical research and results by creating more precise examinations and facilitating personalized treatment. Its ability to rapidly analyze large amounts of medical documents benefits diagnosticians in identifying disease markers and trends that might otherwise have been overlooked. The potential of AI is broad. It ranges from radiological images for timely detection to foreseeing results from electronic health databases. The healthcare industry can become more intelligent and efficient by employing AI in hospitals and clinics and providing quicker care to millions worldwide.
Artificial integration services in healthcare are undeniably shaping the future. They are revolutionizing how healthcare recipients receive care while easing providers’ costs and improving health solutions. The images showcased below provide statistical insight into this, highlighting AI’s growth up to now and what the future holds for it.
Future of AI in healthcare
Below, we can see that the global AI sector was valued at 600 million USD in 2014, it reached 6.6 billion USD with a CAGR of 40% in 2021, and by 2026, it is anticipated to reach 150 billion USD.
The image below showcases the Impact of AI on healthcare and other related fields.
As per a recent survey, AI can potentially increase healthcare productivity by 1.8 to 3.2% of annual revenue, equivalent to $150 to $260 billion annually.
Artificial Intelligence Trends in Healthcare
Based on the AI in healthcare innovation map, the image below illustrates the impact of the top AI trends in Healthcare. AI-enabled big data and predictive health analysis enable early disease screening, while machine learning reduces human errors. AI-powered robots assist surgeons with complicated surgeries. Medical professionals leverage NLP and ML for drug trials, clinical decision-making, and more. Startups and hospitals are increasingly utilizing AI for various services and products. AI has significantly impacted the healthcare sector and will continue to do so. Let’s have a look at these trends.
Health assessments
AI integration services enhance patient medical results by facilitating rapid diagnoses, assisting medical decisions, and decreasing the risks of human error. Start-ups incorporate a wide range of data processing methods, such as Deep Learning and Machine Learning, to improve the ability and streamline the workflows of healthcare professionals. Instances of AI include medical analysis of retinal images, CT scans, ECG waveforms, and genetic testing.
AI technology can identify abnormalities and assist in the early detection of rare medical conditions like cancer. Additionally, it decreases the need for unhelpful tests and procedures, ultimately decreasing the work of healthcare infrastructure.
Medical Analytics
Medical Analytics uses machine learning algorithms to discover relevant information from vast medical data quickly. This facilitates early disease detection and prompt intervention by processing and analyzing data from EHRs, wearables, and medical devices. Startups build anticipated models to evaluate patient datasets to prevent cardiovascular disease (CVD), stroke, neurodegeneration, and other complications. Further, AI integration services anticipate hospitalization risks for serious patients to decrease readmit rates. AI-powered big data also improves the accuracy and grade of quality while accelerating drug discovery and development.
Telehealth
Routine checkups and health recovery monitoring utilizing AI can help medical professionals focus on complicated cases and health emergencies. AI-facilitated virtual medical consultants enable doctors to assist patients worldwide and offer data-directed care. These AI-driven solutions gather data from various sources, including medical images, devices, wearables, smartphones, and electric medical records (EMRs). AI absorbs this data to offer guidance and alerts based on medical records, symptoms, and other concerns.
Healthcare Administration
AI can significantly alleviate the burden of administrative tasks in healthcare, such as scheduling doctor appointments, ordering materials and medications, and processing insurance claims. These tasks, often time-consuming and not always performed optimally, can be efficiently handled by an AI assistant, freeing up valuable time for medical staff.
For instance, if a doctor’s schedule changes, the AI can automatically reschedule patient appointments at a convenient time for all parties. It can also ensure that prosthetists order the correct materials on time. AI can send timely reminders to those responsible for specific tasks by monitoring each workflow stage. Additionally, AI is crucial in analyzing insurance claims, particularly fraud prevention.
Automating routine tasks with AI solutions improves efficiency and decreases the chances of human errors. Healthcare workers dedicate as much as 70% of their time to administrative duties. AI could take over around 50% of these tasks, allowing healthcare professionals and healthcare development company in the USA to focus more on patient care.
Cybersecurity
The digitalization of healthcare places confidential patient information at risk. Therefore, startups offer to leverage AI solutions for inconsistency prediction and cyber fraud detection to keep healthcare development companies up and running. AI in cybersecurity works coherently to analyze network traffic and anticipate patterns that indicate cyber threats. It helps to identify system bugs and allows the development of risk mitigation policies. It also helps supervise, manage, and eliminate sanctioned medical data and systems access.
Surgical Robots equipped with AI
Integrating AI in surgical robots is a significant progressive trend in the healthcare sector. These robotic assistants can execute complicated procedures with minimal harm to the human body. While the surgeon still makes the crucial decisions, the microrobots manage the precise movements and data collection. This approach allows for speedier patient recovery and lowers the risk of complications.
According to strategic market research, robotic surgery accounted for 23% of all general surgeries in 2022. The market for surgical robots was valued at $5.16 billion in 2021 and is expected to grow to $20.98 billion by 2030.
Disease prevention with AI
In recent years, many developed countries have been shifting their focus from disease treatment to prevention, particularly for conditions like heart attack, which remains the leading cause of death. Continuous monitoring of a person’s health, activity, and lifestyle has effectively reduced mortality and prevented illnesses. This shift has been made possible through the use of wearable devices. The information gathered by sensors in mobile phones, including gyroscopes and accelerometers, can be effectively analyzed by AI to help prevent incidents such as falls.
AI has the potential to identify individuals at approximately 90% risk of sudden death, who represent more than 25% of all sudden cardiac death cases.
Electronic health records (EHRs)
Electronic health records (EHRs) are now standard in healthcare development services in the USA, yet a substantial amount of handwritten data still needs to be organized and digitized. AI can assist in recognizing and digitizing these handwritten texts, with its self-learning capabilities allowing it to adapt to the varied handwriting styles of different doctors. This technology isn’t just useful for older records; even with widespread digitalization, healthcare professionals sometimes find it more convenient to jot down treatment plans by hand or create them verbally using speech recognition tools like AWS HealthScribe.
According to Future Market Insights, EHR software dominates the U.S. healthcare solutions market, accounting for roughly 63.3% of the share in 2022. The Electronic Health Records market is projected to grow to $15.3 billion by 2023 and will continue to grow at this pace in the coming years.
Read also: Unveiling the Future of Healthcare: Exploring Mobile Health App Development
Use cases of AI in healthcare
Google Health/ Deep Mind
In 2019, DeepMind’s health team merged with Google Health to develop products that assist healthcare professionals and enhance patient outcomes. Google Health is leveraging AI to revolutionize lung cancer diagnosis, breast cancer screening, preventing blindness, and predicting patient outcomes.
Google has not just made promises but delivered on them. In collaboration with Deepmind, Google Health has developed an AI-driven solution for breast cancer. Remarkably, the algorithm surpassed human radiologists, achieving an average performance improvement of 11.5%.
Verily, Aplhabet’s life sciences division is leading a groundbreaking data-gathering initiative known as Project Baseline. This project seeks to use similar algorithms behind Google’s renowned search engine to understand the factors contributing to good health.
Atomwise
The San Francisco-based healthcare development company is dedicated to cutting drug development costs by harnessing the power of supercomputers to analyze a database of molecular structures. This approach helps determine potential medications’ effectiveness, ultimately streamlining the drug development process.
Their technology, known as AtomNet, employs convolutional neural networks, an AI technique similar to the one used in self-driving cars and voice-activated assistants. By analyzing millions of experimental affinity measurements and thousands of protein structures, AtomNet can predict the binding of small molecules and thousands of protein structures, thereby identifying potential drug candidates that are both effective and safe.
In August 2022, Atomwise entered into a $1.2 billion research collaboration with Sanofi centered on using the AtomNet Platform to investigate small molecules targeting up to five drug targets. This cutting-edge platform harnesses the power of deep learning for structure-based drug design. It enables a rapid and AI-driven search through Atomwise’s expansive library of over 3 trillion synthesizable compounds.
Viz.ai
Viz.ai is a prominent company specializing in the use of artificial intelligence for Disease detection and care coordination. Their core product, Viz.ai One, utilizes AI to swiftly analyze medical images and detect potential conditions such as strokes and intracranial hemorrhages. This technology enhances the speed of diagnosis, leading to quicker treatment decisions and potentially better patient outcomes.
Additionally, Viz.ai offers Viz Connect, a communication platform to improve collaboration among multidisciplinary care teams. This tool optimizes workflows and facilitates real-time communication, ensuring specialists are promptly notified and involved in patient care. Viz.ai’s solutions are widely implemented in hospitals and health systems, revolutionizing the delivery of critical care.
Augmedix
Augmedix, a healthcare development company and a leader in medical documentation, has developed technologies to capture data from physician-patient conversations and transform it into medical notes in real-time. These notes are then automatically integrated into healthcare providers’ EHR systems. This innovation aims to alleviate administrative burdens on healthcare workers, potentially reducing burnout and saving valuable time.
Recently, Augmedix introduced a fully automated, generative AI medical documentation tool tailored for emergency departments. This new tool builds upon their existing Augmedix Go solution, a mobile app controlled by clinical staff. The app uses generative AI to produce a draft medical note after each patient visit instantly.
According to a survey released by the company, clinical using their platform in ambulatory care settings can save up to an hour or more per clinic day.
Artificial Intelligence- The Ultimate Healthcare Revolution
AI integration services in healthcare are revolutionizing the industry by enhancing patient care efficiency, accuracy, and personalization. By integrating deep learning, machine learning, data analytics, and Natural Language Processing, AI streamlines diagnoses, automates administrative tasks, facilitates early disease detection, enhances cybersecurity, and much more while minimizing human error. Rapidly analyzing vast medical data helps identify disease markers and trends that might otherwise go unnoticed, significantly improving medical research and patient outcomes. AI has a wide range of potential applications, including analyzing radiological images for early disease detection and predicting health outcomes from electronic health records. AI is poised to make healthcare more intelligent, faster, and effective globally.
The future of AI in healthcare promises even more incredible advancements, with significant growth projected in the AI sector, impacting various aspects of the industry, from surgical robots to disease prevention and medical documentation. Companies like Google Health, Atomwise, Viz.ai, and Augmedix are already pioneering AI-driven solutions that enhance diagnostic accuracy, streamline clinical workflows, and reduce healthcare costs. As AI continues to evolve, its integration into healthcare systems will further revolutionize how care is delivered, improving efficiency, reducing costs, and ultimately providing better patient outcomes worldwide.