Share

Healthcare, including pharma, medical devices, healthcare providers, and payers, is a highly regulated industry, and therefore can be slow to adopt new technologies and modernise. However, the healthcare industry is realising the benefits artificial intelligence (AI) can bring, and it is now being used in different areas across the entire value chain. Additionally, its use in the healthcare space is expected to continue to increase in the next five years. 

Recommended Buyer's Guides

Leading AI companies in healthcare

ML and data science are the two most important subsets of AI, and hospitals and payers must invest in these technologies across all parts of the value chain. AI can assist with treatment decisions for physicians and other healthcare providers by analysing patient data to recommend treatment plans or assist with diagnosis and screening, thereby reducing physician workload.

AI can also motivate and interact with patients and investing in conversational platforms for end users can help in symptom assessment, patient triage, and improving patient outcomes. AI can also be utilised in hospitals to provide an efficient and seamless patient experience that allows hospitals and healthcare professionals to treat more patients daily. 

Leading adopters of AI in hospitals include UnitedHealth, CVS Health, Humana, and Mayo Clinic. 

Discover the leading AI companies in the hospital industry 

Using its experience in the sector, Hospital Management has listed some of the leading companies providing products and services related to AI.  

The information provided in the download document is drafted for hospital executives and technology leaders involved in AI solutions. 

The download contains detailed information on suppliers and their product offerings, alongside contact details to aid purchasing or hiring decisions. 

Leading vendors in AI hospital solutions include Alphabet, IBM, Microsoft, Google, Apple, and Accenture.

Related Buyer’s Guides which cover an extensive range of hospital solutions providers, equipment manufacturers and technology, can also be found here.

Future of artificial intelligence in hospitals 

GlobalData forecasts that the market for AI platforms for the entire healthcare industry will reach $4.3bn by 2024, up from $1.5bn in 2019. This will be driven by the use of AI by healthcare providers and payers, which is forecast to reach $2.9bn by 2024.

For full details (including contact details) on the leading AI companies in healthcare within this space, download the free Buyer’s Guide below:

Frequently asked questions

  • How is AI transforming hospital operations?

    Artificial intelligence is revolutionising hospital operations by streamlining administrative tasks, assisting in diagnosis, and optimising patient care. AI algorithms analyse patient data to suggest treatment plans, reducing physician workload and improving accuracy. Additionally, AI-powered tools help automate medical records, enhance operational efficiency, and provide personalised care experiences.

  • What are the key applications of AI in hospitals?

    AI is used in areas such as diagnostic imaging, predictive analytics for patient outcomes, clinical decision support systems, and robotic surgery. It also improves patient triage and hospital resource management through advanced data analysis.

  • How does AI enhance patient care in hospitals?

    AI enhances patient care by providing real-time health monitoring, personalising treatment plans, and improving diagnostic accuracy. It helps predict patient deterioration, enabling early intervention and reducing hospital stays, thus improving overall patient outcomes.

  • What challenges do hospitals face when implementing AI?

    Challenges include the high cost of AI integration, data privacy concerns, and the need for staff training on AI systems. Hospitals must ensure regulatory compliance while securely managing patient data, and implementing AI requires careful planning to avoid disruptions in clinical workflows.

  • How does AI improve hospital resource management?

    AI optimises resource allocation by predicting patient admissions, managing staff schedules, and tracking equipment usage. This enhances operational efficiency, reduces costs, and ensures that resources are available when needed, leading to better hospital performance.