$๐๐๐.๐ ๐๐ข๐ฅ๐ฅ๐ข๐จ๐ง Boom to AI in Healthcare Market to Skyrocket by ๐๐๐๐ with a ๐๐.๐% ๐๐๐๐ - AMR
Artificial Intelligence is transforming the healthcare industry, enabling unprecedented advancements in diagnostics, personalized medicine.
WILMINGTON, DELAWARE, UNITED STATES, June 3, 2024 /EINPresswire.com/ -- According to a new report published by Allied Market Research, titled, โAI in Healthcare Market by Offering, Algorithm, Application, and End user: Global Opportunity Analysis and Industry Forecast, ๐๐๐๐-๐๐๐๐,โ the AI in healthcare market was valued at ๐๐๐ ๐.๐๐ ๐๐ข๐ฅ๐ฅ๐ข๐จ๐ง in 2020, and is anticipated to reach ๐๐๐ ๐๐๐.๐๐ ๐๐ข๐ฅ๐ฅ๐ข๐จ๐ง by 2030, growing at a ๐๐๐๐ ๐จ๐ ๐๐.๐% from ๐๐๐๐ ๐ญ๐จ ๐๐๐๐.
The rise of artificial intelligence has transformed various industries with their core functionalities. Healthcare is one of the sectors that is highly benefited from this groundbreaking technology. It is being used in healthcare for everything from answering patient questions to assisting with surgeries and developing new pharmaceuticals. Moreover, machine learning algorithms analyze vast amounts of medical data to identify patterns and predict disease outcomes. Furthermore, several AI-powered tools automate administrative tasks, optimize resource allocation, and improve patient engagement through virtual assistants and telemedicine. Additionally, AI enables precision medicine by tailoring treatments based on individual genetic and clinical data, resulting in better outcomes and cost savings.
๐๐ข๐๐๐๐ซ๐๐ง๐๐๐ฌ ๐๐ซ๐จ๐ฎ๐ ๐ก๐ญ ๐๐ฒ ๐๐ ๐ข๐ง ๐ญ๐ก๐ ๐ก๐๐๐ฅ๐ญ๐ก๐๐๐ซ๐ ๐ฌ๐๐๐ญ๐จ๐ซ
๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐จ๐ง ๐ข๐ง ๐๐๐ฆ๐ข๐ง๐ข๐ฌ๐ญ๐ซ๐๐ญ๐ข๐ฏ๐ ๐ฐ๐จ๐ซ๐ค๐๐ฅ๐จ๐ฐ: These days, healthcare institutions are using AI to improve the efficiency of all kinds of processes, from back-office tasks to patient care. In healthcare, workers used to spend a lot of time doing paperwork and other administrative tasks. With AI and automation, institutions can help perform many of those mundane tasks, freeing up employee time for other activities and giving them more face-to-face time with patients.
For instance, generative AI helps clinicians with notetaking and content summarization, helping clinicians keep medical records as thorough as possible. The modern technology can also help with accurate coding and sharing of information between departments and billing.
๐๐๐ช๐ฎ๐๐ฌ๐ญ ๐๐๐ฆ๐ฉ๐ฅ๐ ๐จ๐ ๐๐๐ฉ๐จ๐ซ๐ญ : https://www.alliedmarketresearch.com/request-sample/2421
๐๐๐๐๐ซ๐ข๐ง๐ ๐ฏ๐ข๐ซ๐ญ๐ฎ๐๐ฅ ๐ง๐ฎ๐ซ๐ฌ๐ข๐ง๐ ๐๐ฌ๐ฌ๐ข๐ฌ๐ญ๐๐ง๐๐: In a study, it is found that almost 64% of patients are comfortable with the use of AI for around โthe-clock access to answers provided by healthcare professionals. AI-powered chatbots, apps, or other interfaces are the AI virtual nurse assistants that can be used to help answer questions about medications, pass-on reports to doctors or surgeons, and help patients schedule a visit with a physician. These sorts of routine tasks help take work off the hands of clinical staff, allowing them to spend more time directly on patient care.
๐๐๐๐ฎ๐๐ข๐ง๐ ๐๐จ๐ฌ๐๐ ๐ ๐๐ซ๐ซ๐จ๐ซ๐ฌ: AI plays a major role in identifying errors in patientโs self-administered medications. For instance, a study from Natureโs Medicine showed that up to 70% of patients do not take insulin as prescribed. An AI-powered tool just like a Wi-Fi-router used to flag errors in how the patient administers an insulin pen or inhaler.
๐๐ซ๐๐ฏ๐๐ง๐ญ๐ข๐ง๐ ๐๐ซ๐๐ฎ๐๐ฌ ๐ข๐ง ๐ก๐๐๐ฅ๐ญ๐ก๐๐๐ซ๐: Frauds in the healthcare sector is a matter of concern. It raises the cost of consumersโ medical premiums and out-of-pocket expenses. By implementing AI, administrators can recognize unusual or suspicious patterns in insurance claims, such as billing for costly services or procedures not performed and performing unnecessary tests to take advantage of insurance payments.
๐๐ฌ ๐๐ ๐๐๐ฉ๐๐๐ฅ๐ ๐จ๐ ๐ข๐ฆ๐ฉ๐ซ๐จ๐ฏ๐ข๐ง๐ ๐ญ๐ก๐ ๐ก๐๐๐ฅ๐ญ๐ก๐๐๐ซ๐ ๐ฎ๐ฌ๐๐ซ ๐๐ฑ๐ฉ๐๐ซ๐ข๐๐ง๐๐?
According to a recent study, 83% of patients reported that poor communication is the big reason behind their bad experiences. This has increased the demand for clearer communication between patients and providers. AI technologies such as natural language processing (NLP), predictive analytics, and speech recognition could help healthcare providers have more effective communication with patients. Furthermore, AI tools deliver more specific information about a patientโs treatment options, which is expected to allow the healthcare provider to have more meaningful conversations with the patient for shared decision-making. Additionally, AI-powered diagnostic tools also have the potential to diagnose serious diseases such as various types of cancers, neurological disorders more effectively, reducing treatment costs by up to 50% and improve health outcomes by 40% approximately.
๐๐ซ๐จ๐๐ฎ๐ซ๐ ๐๐จ๐ฆ๐ฉ๐ฅ๐๐ญ๐ ๐๐๐ฉ๐จ๐ซ๐ญ ๐๐จ๐ฐ : https://www.alliedmarketresearch.com/artificial-intelligence-in-healthcare-market/purchase-options
๐๐จ๐ง๐ญ๐ซ๐ข๐๐ฎ๐ญ๐ข๐จ๐ง ๐จ๐ ๐๐ ๐๐๐๐ฅ๐ญ๐ก๐๐๐ซ๐ ๐๐ง๐ ๐๐๐ซ๐๐๐ข๐ ๐ฆ ๐ข๐ง ๐ซ๐๐ฌ๐ก๐๐ฉ๐ข๐ง๐ ๐ข๐ง๐๐ฎ๐ฌ๐ญ๐ซ๐ฒโ๐ฌ ๐ฅ๐๐ง๐๐ฌ๐๐๐ฉ๐
The global AI in healthcare industry has experienced significant growth due to the increase in the demand for AI-based algorithms in the healthcare sector. Along with this, several leading players in the domain have made alliances such as mergers and acquisitions to foster the industryโs competitiveness. For instance, in March 2024, Veradigm, a leading provider of artificial intelligence-based solutions announced its acquisition of ScienceIO, a biomedical language platform designed to transform unstructured biomedical data into contextualized information. With this acquisition, the companies aimed to help several healthcare institutions to adopt cutting-edge AI models for diverse healthcare use cases including patient anonymization, information extraction, record linkage, summarization and predictive analytics.
Similarly, in January 2024, GE HealthCare, a renowned provider of healthcare system products, solutions and services acquired MIM Software Inc., a Cleveland-based provider of imaging analysis software for radiology and other specialties. With this agreement, GE envisioned to adopt the advanced MIM suite of imaging solutions to integrate images from multiple modalities into one treatment plan. Besides, the company also aimed to incorporate advanced processing software to help radiologists and nuclear medicine specialists monitor a patientโs response to a therapy.
To conclude, the increase in volume of healthcare data and rise in complexities of datasets are driving the necessity of modern technologies such as AI in the healthcare sector. Furthermore, the increase in the incorporation of machine learning and deep learning technologies in the AI systems to decrease processing times is expected to boost the growth of the sector in the coming years.
๐๐ง๐ช๐ฎ๐ข๐ซ๐ ๐๐๐๐จ๐ซ๐ ๐๐ฎ๐ฒ๐ข๐ง๐ : https://www.alliedmarketresearch.com/purchase-enquiry/2421
๐๐ก๐จ๐ซ๐ญ ๐๐๐ฌ๐๐ซ๐ข๐ฉ๐ญ๐ข๐จ๐ง: The incorporation of artificial intelligence in the healthcare sector has enhanced various functionalities and user experiences. The technology helps reduce patientsโ dosage errors, automate administrative workflow, prevent healthcare frauds, offer virtual nursing assistance around-the-clock.
๐๐๐จ๐ฎ๐ญ ๐๐ฅ๐ฅ๐ข๐๐ ๐๐๐ซ๐ค๐๐ญ ๐๐๐ฌ๐๐๐ซ๐๐ก:
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Wilmington, Delaware. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domains. AMR offers its services across 11 industry verticals including Life Sciences, Consumer Goods, Materials & Chemicals, Construction & Manufacturing, Food & Beverages, Energy & Power, Semiconductor & Electronics, Automotive & Transportation, ICT & Media, Aerospace & Defense, and BFSI.
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