• AI is already changing how clinicians practice medicine, the way the pharmaceutical industry operates, and the patients’ experience.
  • The upcoming applications in healthcare and their impact on associated players will be significant.

The power of AI, or artificial intelligence, is vast and constantly evolving. AI has successfully touched many sectors to mingle with technology and produce accurate and fast results.

According to Forrester’s 2022 Data and Analytics Survey, 73% of data and analytics decision-makers are building AI technologies, and 74% are seeing a positive impact in their organizations. Also, a Gartner survey found that an average of 54% of AI projects make it from pilot to production.

Talking typically of AI in healthcare, 2022 has been the year of healthcare innovation. AI in healthcare improves results, efficiency, and cost. The technology helps doctors with diagnostics, medication discovery, individualized therapy, and illness prediction. AI-powered medical gadgets and wearable sensors can monitor patients remotely and continuously.

According to CBInsights, healthcare AI funding declined in 2022 to its lowest level since the third quarter of 2020.

In this blog, we will explore the latest trends and technologies in AI for healthcare and how they are changing the face of medicine.

More emphasis will be placed on personalized healthcare

As per AI experts and medical investment partners, 2023 will witness more opportunities for personalized healthcare due to the increasing volume of data in the industry. Many experts say that a large amount of high-quality data is needed to make more accurate predictions.

The resulting models are erroneous or inaccurate when several healthcare datasets are skewed and insufficient. As per medical investors, this challenge can be curated by leveraging AI and verifying data used to train their models.

Pre-processing and adequately cleansing the data can remove possible errors or inconsistencies. The quality check can again be helpful to show that data is presentative and accurate. AI in healthcare can help generate specific treatments by scanning patients’ genetics, profiles, lifestyle, and environment.

A more comprehensive range of applications

The AI applications are set to cut the annual U.S. healthcare price by USD 150 billion in 2026, as per Accenture. This is due to a broad range of different AI applications. Also, engulfing intelligent and more sophisticated AI systems to draw trustworthy and more accurate recommendations.

Experts predict that 2023 will be the year in which artificial intelligence will be increasingly effective in medicine and treatment discovery, drug development and delivery, efficiency and accuracy enhancement of medical research, experimentation, side effects, and efficiency tracking. For instance, tracking COVID vaccines using manual methods would have been impossible. Hence, healthcare utilized AI-assisted features in the mass production of the COVID vaccine.

A closer working relationship between humans and AI

There is a close relationship between humans and machines. There are severe discussions about whether a human can replace machines or not. According to analysts, however, this will not be the case concerning healthcare, at least for the remainder of this year or the upcoming year. But we surely can expect a better human-AI relationship.

Implementing any AI solution requires the technologist to establish and maintain governance. The mechanism for overriding AI decisions is again a priority for many managers and executives. They have worked closely with AI, so they had to intervene in their systems due to the delivery of unfair results.

Organizations are prioritizing the above features of AI, particularly in healthcare, to develop a more reliable human-AI relationship in 2023.

Automation at every possible step

Without a doubt, healthcare will utilize greater automation in 2023. Scheduling appointments, managing records of a patient, coordinating care, and other such tasks will be extensively used with AI. Below are a few more areas that would require AI-based automation:

  • To improve the efficacy and potency of healthcare delivery.
  • To provide access to more convenient and personalized care.
  • To automate 50% to 75% of manual tasks.
  • To give space for clinicians to focus on care delivery, complex cases, and coordination among functions.
  • To Improve the experience of patients, clinicians, and insurance plan members.

Law, regulation, and legislation will undoubtedly improve with AI

 Every day, the healthcare industry creates massive amounts of data. According to the IDC estimate, the healthcare industry generated 2,000 exabytes of data in 2020, which continues to rise by 48% annually.

More data comes with more data challenges and security issues. The health data, patient confidentiality, ethics, and regulatory departments all are concerned with AI in healthcare. It plays the same role as GDPR plays in privacy protection.

Verikai, a software company’s solution consultant Ayanna Charles highlighted that regulation and legislation would be getting more clarity and betterment next year.

AI healthcare bias is worrisome but fixable

Partiality and prejudices are everywhere in varying degrees. But bias in AI models can be unhealthy and can seriously affect already exhausted patients. As per a study, it can worsen social inequalities and be life-threatening.

Researchers predict that 2023 will mark the beginning of AI bias reduction in healthcare. To address ethical issues, organizations can execute oversights and guidelines to ensure that their AI systems are being used in compliance and responsibility concerning regulations.

Wrapping Up

An optimistic future for healthcare AI is on its way

There are three types of AI in healthcare, patient-oriented AI, clinician-oriented AI, and administrative or operational-oriented AI.

AI might perform the following tasks in the future:

  • Population health trending and analytics
  • Treatment plan and Clinical diagnose
  • Answer the phone and review the medical record
  • Read radiology images
  • Design therapeutic drug and medical devices

The future of artificial intelligence in healthcare is explored in the subsequent section:

  • A healthcare-oriented overview of artificial intelligence, machine learning, and natural language processing.
  • Future uses and their potential effects on clinicians, patients, the pharmaceutical business, and the insurance industry are discussed.
  • The AI technology in healthcare uncovering its impacts on healthcare and medicinal practices in the next decade.

The participants associated with the above need to be aware that AI considers only the data that goes into it. So, whatever insights you get from it are part of the decision-making process. According to experts, the usage of AI in healthcare is likely to rise.