The tactical role of AI in healthcare

Data plays a crucial role across many industries. This data can be used to deliver services more efficiently, build business strategies and understand users. When it comes to healthcare data, it can enhance care delivery and outcomes, especially when it is used by health providers, health systems and patients. By incorporating Artificial Intelligence (AI) in the healthcare domain, the various functions of healthcare can be further optimized. In this article, you will get to know about the role of AI in healthcare.

Artificial Intelligence (AI) in healthcare — An introduction:

The platform of deep learning, natural language processing, machine learning and other AI technologies are leveraged so that the healthcare domain can be streamlined and made more efficient. The predictive capabilities and data processing of AI can help healthcare professionals leverage and manage healthcare resources proactively.

The strategic role of AI in healthcare:

According to a research report, the market for AI healthcare is projected to be approximately 187 billion dollars by 2030. There will be considerable changes in how biotechnology and pharmaceutical companies, hospitals and medical providers will function. Key factors like the availability of 5G, cheaper hardware, more access to data and better machine learning (ML) algorithms have contributed to leverage AI in the healthcare industry.

Enormous volumes of health data from genetic information to clinical studies and health records have been sifted by AI and ML technologies so that it can be analyzed much faster. Medical practices are becoming innovative and efficient through the tactical use of AI platforms. A convergence of increased computational power has been witnessed through this period.

Marked improvements in AI-powered medical algorithms and the availability of large datasets can also be witnessed. In fact, some of the key challenges in healthcare, which include operational efficiency, personalized treatment and diagnostic accuracy were effectively addressed by the AI platform.

Following are a few key ways that depict how AI can impact the healthcare domain constructively:

1. Electronic Health Records (EHR): EHRs contain a huge amount of information about a patient’s well-being and health in structured and unstructured formats. This information can prove to be resourceful for technicians, however, making them actionable and accessible has been a challenging task. These issues can be effectively addressed by the tactical use of AI tools.
2. The foray into drug discovery and drug development: The platform of drug discovery, drug development and manufacturing have been able to develop new treatment options for different health conditions. These processes can be further optimized by incorporating AI. Drug manufacturing is getting revolutionized through the AI and ML platform by optimizing quality control, predictive maintenance and process optimization.
3. The value of clinical decision support: Clinical decision support (CDS) systems are key tools that are designed to enhance patient safety and care quality. However, the clinical decision-making process is being transformed through the advancement of AI and ML technologies.

Initially, CDS tools were not properly integrated into clinical workflows and were considered to be standalone solutions. As of today, the integration of many CDS systems are being done into EHRs, so that deployment can be improved. Through the strategic incorporation of AI, providers can leverage information that is contained within the EHR and thus the data can be pulled outside of it.

1. The significance of medical imaging: Medical imaging is crucial in pathology and diagnostics. But, to interpret these images effectively, requires significant clinical experience and expertise. AI can drive this using imaging analytics. AI technologies leverage medical imaging by improving risk assessment, screening and precision medicine.

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