Future of AI In Healthcare
Meet Lily and her partner Max. Every morning, they share their health updates with friends and family. Lily starts her day feeling energised, while Max’s data indicates a potential shift in his mood.
Thanks to AI, they catch this early, allowing Max to connect with a therapist promptly.
Fast forward 20 years, and a transformation has occurred. Now, everyone has access to their health data, courtesy of AI and smart devices. Lily and Max proactively monitor their health, identifying issues before they escalate.
By sharing their data, Lily and Max receive personalised care tailored to their needs. Max accesses therapy to address his mood, while Lily receives targeted treatments for her allergies. Additionally, their shared data fuels research, driving innovation in healthcare.
However, realising this future requires a collective effort. From healthcare professionals to technology firms, collaboration is key. With AI, healthcare evolves into a realm of enhanced precision and individualised support.
Here is the future of AI in healthcare — a world where technology empowers individuals like Lily and Max to optimise their well-being journey with confidence and foresight.
“The healthcare industry is being rewired across the entire patient journey. The intersection of healthcare with the digital sector is accelerating this transformation.”
McKinsey & Company
Role of AI In Healthcare
According to Statista, the artificial intelligence (AI) healthcare market, valued at $11 billion in 2021, is projected to be worth $187 billion by 2030.
This exponential growth is likely to bring about considerable changes in how hospitals, biotech companies, pharmaceuticals, healthcare startups, medical providers, practitioners, and others in the industry operate and adapt to this transformation.
Healthcare organisations are leveraging AI to address some of the most pressing problems and long-awaited solutions, potentially transforming accessibility and utilisation of healthcare. They are using AI to increase overall efficiency from operations to patient care, reaching new levels.
Create drugs AI is revolutionising drug discovery by analysing vast amounts of data to identify potential drug candidates more efficiently. This technology accelerates the development process, leading to faster and more precise drug creation.
Administrative Applications
AI streamlines administrative tasks in healthcare facilities, automating processes like scheduling, billing, and resource allocation. By reducing manual workload, it allows staff to focus more on patient care, improving overall efficiency.
AI in Medical Imaging
Through AI algorithms, medical imaging techniques like MRI and CT scans become more accurate and efficient. AI helps in detecting abnormalities earlier, aiding in timely diagnosis and treatment planning.
Health Surveillance
AI-powered health surveillance systems monitor population health trends, detect outbreaks, and predict disease spread. By providing early warnings, these systems enable proactive measures to control and prevent the spread of diseases.
Electronic Health Records
AI enhances electronic health records (EHRs) by organizing and analyzing patient data, improving accessibility and accuracy for healthcare providers. This ensures better coordination of care and more informed decision-making.
Managing Customer Records
AI assists in managing customer records by organizing and analyzing data to personalize healthcare experiences. It enables healthcare providers to offer tailored treatments and interventions based on individual needs.
Patient Communication
AI-driven chatbots and virtual assistants enhance patient communication by providing instant responses to inquiries, appointment scheduling, and medication reminders. This improves patient engagement and satisfaction.
Treatment Design
AI algorithms analyze patient data to design personalized treatment plans, considering factors like genetics, medical history, and lifestyle. This tailored approach enhances treatment efficacy and patient outcomes.
Analysing Images
AI algorithms analyze medical images with speed and precision, assisting radiologists in detecting abnormalities and making accurate diagnoses. This reduces diagnostic errors and improves patient care.
Clinical Documentation
AI automates clinical documentation processes, converting physician-patient interactions into accurate and structured records. This saves time for healthcare professionals and ensures comprehensive documentation.
Combating Fraud
AI algorithms detect patterns of fraudulent activities in healthcare claims and billing, helping to prevent and combat fraud effectively. This protects healthcare resources and ensures fair distribution of services.
Cost Reduction
AI-driven predictive analytics optimize resource allocation, reducing healthcare costs by identifying areas for efficiency improvement and waste reduction. This enables healthcare providers to deliver high-quality care at lower expenses.
Diagnostic Imaging
AI improves diagnostic imaging accuracy and efficiency, aiding in early detection and precise diagnosis of various medical conditions. This enhances patient outcomes and reduces the need for invasive procedures.
Disease Diagnosis
AI assists in disease diagnosis by analysing symptoms, medical history, and diagnostic tests to provide accurate and timely diagnoses. This facilitates early intervention and improves patient prognosis.
Improved Healthcare Access
AI-powered telemedicine platforms and virtual healthcare services improve access to healthcare services, especially in remote or underserved areas. This ensures equitable healthcare delivery and reduces barriers to care.
Medical Data Analysis
AI analyzes vast amounts of medical data to uncover insights into disease trends, treatment outcomes, and healthcare utilization patterns. This knowledge informs evidence-based decision-making and improves healthcare delivery.
Robotics-assisted Surgeries
AI-driven robotics assist surgeons in performing minimally invasive surgeries with precision and accuracy. This reduces complications, shortens recovery times, and enhances surgical outcomes for patients.
Telemedicine
AI-enabled telemedicine platforms facilitate remote consultations, diagnosis, and treatment, expanding access to healthcare services beyond traditional clinical settings. This improves convenience for patients and enables timely interventions.
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Artificial Intelligence Use Cases in Healthcare
10Pearls has been at the forefront of driving digital transformation in healthcare, partnering with leading global organizations such as AARP, Magellan Health, VillageMD, HOLOGIC, and Amwell. Here are some of the top use cases we’ve been working on to drive healthtech innovation.
Customized Telemedicine Solutions
Developed a fully automated acute-care telemedicine solution, simplifying the software development process and expediting continuous improvement and deployment. This solution facilitates remote consultations, enhancing access to healthcare services.
Claims Adjudication Management
Built an agile Claims Matching solution to efficiently manage the claims adjudication process for a large Fortune 50 healthcare payer across various clinical domains. This solution ensures accurate and timely processing of claims, optimizing administrative workflows.
Know more about out our healthcare payer solutions and services
Care Management Product Launch
Launched a new Care Management product for a large healthcare organization, overseeing the clinical aspects of planning, execution, and operational readiness activities leading up to go-live and stabilization. This product facilitates comprehensive care coordination and management for improved patient outcomes.
Read our case studies on how we are driving healthtech innovation here.
The Future of AI in Healthcare — What is the Data Saying?
According to a survey conducted in the U.S. in March 2021, there’s a notable trend among healthcare service providers towards embracing artificial intelligence (AI) and predictive analytics.
The survey revealed that 38 percent of respondents expressed a strong likelihood of incorporating AI and predictive analytic capabilities into their practices in the coming years.
Additionally, another 38 percent indicated a moderate willingness to introduce these advanced technologies in the near future.
This data underscores a growing recognition within the healthcare industry of the transformative potential of AI.
With AI-driven technologies offering opportunities to enhance diagnostic accuracy, optimize treatment plans, and streamline administrative processes, healthcare providers are increasingly inclined to leverage these capabilities to improve patient care and operational efficiency.
As we delve deeper into the future of AI in healthcare, it’s evident that data-driven insights like these are shaping strategic decisions and driving innovation across the industry.
With a significant portion of healthcare providers indicating their readiness to embrace AI, we can anticipate continued momentum in the adoption of AI-powered solutions, heralding a new era of personalised, efficient, and patient-centric healthcare.
According to Precedence Research, the global artificial intelligence (AI) in healthcare market is poised for substantial growth, with an estimated size of USD 15.1 billion in 2022, projected to exceed USD 187.95 billion by 2030, representing a CAGR of 37% during the forecast period. North America dominated the market in 2022, with a valuation of USD 6.8 billion.
The software solutions segment, holding 40.5% share in 2022, is anticipated to witness robust growth, fueled by increased adoption across healthcare units and collaborations between healthcare companies and software developers.
This segment is expected to maintain its lead, driven by rising investments in AI-based technologies and the growing prevalence of telehealth and telemedicine solutions, particularly in response to the COVID-19 pandemic, indicating a promising trajectory for AI integration in healthcare.
Three Categories for Applications of AI In Health Care
As AI continues to permeate various facets of our lives, its applications in healthcare can be categorized into three main groups:
Patient-oriented AI:
Patient-oriented AI focuses on enhancing the overall experience and outcomes for patients. This includes personalized treatment plans, predictive analytics for disease prevention, and remote monitoring of patient health.
AI-driven tools such as wearable devices and mobile health apps empower patients to take an active role in managing their health and well-being.
Additionally, patient-oriented AI can facilitate more efficient and effective communication between patients and healthcare providers, leading to improved patient satisfaction and adherence to treatment regimens.
Clinician-oriented AI:
Clinician-oriented AI aims to support healthcare professionals in their clinical decision-making processes and optimize patient care delivery. This category includes diagnostic support systems, predictive modeling for treatment outcomes, and clinical decision support tools.
By analysing vast amounts of patient data and medical literature, AI algorithms can assist clinicians in making more accurate diagnoses, identifying optimal treatment options, and predicting patient outcomes.
This not only improves the quality of care but also helps healthcare providers manage their workload more efficiently, ultimately leading to better patient outcomes.
Administrative — and Operational-Oriented AI:
Administrative- and operational-oriented AI focuses on streamlining administrative tasks and optimising healthcare operations. This includes applications such as revenue cycle management, supply chain optimisation, and resource allocation.
AI-driven solutions can automate repetitive administrative tasks, such as billing and scheduling, freeing up time for healthcare staff to focus on patient care.
Moreover, AI can analyse operational data to identify inefficiencies, reduce costs, and improve overall organisational performance. By leveraging AI in administrative and operational processes, healthcare organisations can enhance their productivity, profitability, and quality of care delivery.
10Pearls is leading the way in AI software development across various industries, building the right balance between people, technology, and innovation. Explore our expertise in industries such as FinTech, HealthTech, Retail, Education, Energy, Technology, Telecom, Transportation, and more, or launch your AI journey with our AI launchpad.
Reach out to our experts to know more about the leading healthcare software development company in Vienna, Washington DC, USA.
