Artificial Intelligence (AI) in the healthcare industry has transformed clinicians’ practice methods, enhanced the patient experience, and modified how the pharma industry operates. These improvements have gone a long way toward reshaping, retooling, and optimizing the healthcare service delivery landscape for the next decade. Given undoubtedly broader and more accelerated adoption in the healthcare arena in the near future, AI-driven solutions should also factor in longer-term goals and objectives such as to:
– Protect human autonomy
– Foster responsibility and accountability
– Ensure transparency and explainability
– Promote the well-being of the ecosystem
– Ensure inclusiveness and equity
– Achieve sustainability
AI in healthcare use cases
Healthcare and life sciences industries are materially influenced by advanced technologies such as artificial intelligence and machine learning. Let’s look at how AI influences qualitative health tech trends for better patient care and better healthcare service provider solutions.
AI, machine learning, deep learning, deep neural networks, and NLP technology help diagnose medical conditions more efficiently and accurately by analyzing vast amounts of medical data from various sources to uncover complex patterns and disease characteristics. Automation like this affords the medical practitioner more time to spend interacting with and supporting patients.
Insights from patient dialogue
AI and NLP technologies help analyze patient and health care professionals’ narratives on multiple platforms like social media, chatbots, and personal assistants and generate insights for data-driven decision-making. Deeper insights into the patients’ needs and concerns help identify and tailor products to the unique circumstance of the individual patient, ensuring optimal care and treatment. Analyzing the dialogue between patients and health care professionals from various sources help pharma companies and drug manufacturers to improve their product designs, packaging, and educational materials.
360-degree patient engagement
Machine learning and AI improve every aspect of patient engagement – from scheduling appointments to accessing medical records to creating personalized patient plans. Automating these operations allows a greater focus on care delivery and patient engagement. In turn, the resultant efficiency and effectiveness gains often result in a better understanding of patient needs, reduced operational costs, decreased human error, and more diligent treatment for chronic diseases.
Revenue cycle optimization
Medical claims are expensive and time-consuming for service providers to process as companies spend vast resources standardizing, validating, and corroborating large amounts of claims. Such resource-intensive processes can result in a delay of pre-care or post-care activities. AI helps in automating the claims data extraction process with robotic process automation (RPA) and provides real-time insights and updates as well as analyzes the filed claims in real-time with AI-powered data analysis.
Smart hospital management
Predictive AI and machine learning forecast future resource requirements by analyzing historical data and real-time operational data. These technology solutions comprehensively analyze large amounts of detailed healthcare data and identify high-impact patterns and trends so that hospitals can adjust their staff and resources accordingly.
A primary focus of AI in healthcare for the coming years will be on elevating and personalizing every aspect of patient care and experience. This future involves the ability to offer patient-oriented, clinician-oriented, administrative-oriented, and operational-oriented applications for targeted use cases.
The global vaccine market in the pre-covid era was valued at more than $35 billion, as reported by CNBC. However, according to Markets and Markets, with the sudden onset of SAR-Cov-2, the global COVID vaccine, and drug markets are expected to reach $140.1 billion by 2025. The rapid advancements in AI and ML technologies contributed significantly to providing working vaccines available within a short time of the virus outbreak, given historical standards.
Applied AI data-driven solutions are today providing fundamental leaps forward in healthcare services and solutions. With the extensive automation and improved products and service levels that this advanced technology offers, many organizations are beginning to realize that the future is now to harness the fruits that this technology has to offer.
If you are interested in an AI-enabled healthcare solution, send us your query to firstname.lastname@example.org. Intellect Data, Inc. is a software solutions company incorporating data science and artificial intelligence into modern digital products with Intellect2TM. IntellectDataTM develops and implements software, software components, and software as a service (SaaS) for enterprise, desktop, web, mobile, cloud, IoT, wearables, and AR/VR environments. Locate us on the web at www.intellectdata.com.