Impact Of Generative AI In Healthcare 2023
With the advent of the viral chatbot ChatGPT, many healthcare startups plan to integrate AI technology into various processes. The healthcare startup Pittsburgh-based Abridge AI Inc. has developed a product to help doctors write notes after accessing patients.
Likewise, San-Francisco based Syntegra Inc. is another company leveraging the power of Generative AI to create realistic copies of patient data to conduct research. The adoption of AI by different leading healthcare providers proves that AI is making headway in the growing sector.
The popularity of AI in every sector is the consequence of ChatGPT's launch in November 2022. ChatGPT has various use cases in the healthcare industry. For instance, it can engage people in conversation to obtain screening data and provide talk therapy in a few instances. Furthermore, GPT-4 is one step ahead of ChatGPT in helping professionals with accurate data.
Generative AI Moving To Healthcare?
Generative AI is growing at a rapid pace and has already been added to business techs software giants like Microsoft Corp. and Salesforce Inc. In January, the former tech company announced they are investing billions in ChatGPT creator, OpenAI.?
If we talk about generative AI specific to healthcare, it has the potential to transform the health industry by providing powerful tools to healthcare professionals to analyze medical data and provide more accurate diagnoses and personalized treatment plans.
What Experts Have To Say About Generative AI In Healthcare??
In an interview with Healthcare IT News, Chief Scientist at Babylon Saurabh Johri said, "In ChatGPT case, it is trained on the knowledge embedded within GPT-3.5, and has been optimized using the feedback provided by humans to support plausible dialogue and conversations."
He added, "Generative AI is capable of reducing the administrative burden on clinicians by automating mundane tasks such as clinical coding, writing referral letters, and summarizing clinical consultations."
4 Ways of Generative AI use cases in Healthcare
Generative AI uses machine learning algorithms and models, like Generative Pre-trained Transformer (GPT) model. The core aim of the GPT model is to consolidate and produce content, such as music, art, and images. Here are the four ways in which generative AI can revolutionize the healthcare sector.
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One of the best use cases of Generative AI models and algorithms is to customize the healthcare per the patient's health needs. As artificial intelligence tools can analyze large amounts of data, they can help doctors and medical professionals identify the root causes, predict outcomes, and offer the ideal care. Not only does the AI tool make the healthcare process easy, but it can also help doctors make more informed decisions.
Generative AI can help professionals integrate data from the EHR (Electronic Health Record) and outside the EHR. The available data can assist in identifying chronic diseases at an early stage. Hence, by using AI, healthcare providers can reduce their workload while helping patients with better care.
Generative AI can analyze data from clinical trials and multiple other sources available in the organization. This help the artificial intelligence tool to identify drugs that are likely to be effective. As a result, healthcare providers can bring new products faster into the market and at a reduced cost. Besides, Generative AI can eliminate biases and pinpoint correlations to advance the treatment.
The healthcare industry needs to focus on proactively maintaining medical equipment. This is because the sudden failure of equipment can put patients' lives at risk. Generative AI analyzes the data from medical devices, like ventilators and imaging equipment, to predict if any maintenance is required.?
However, it's worth noting that Generative AI comes with a few limitations. In some instances, it may lead to discrimination or unequal access to care. The only way to eliminate the biases in AI is by training on diverse and representative datasets. In addition, a proper artificial intelligence system development process and expert assistance can help eliminate errors and biases.
Integrate AI Tool In Healthcare With Experts?
Even though the adoption of Generative AI is complex, it is the technology the healthcare industry has been waiting for. If leveraged with care, AI can help healthcare providers bring all the data from disparate sources to one place. In addition, it can reduce the burden on healthcare providers and help forward-thinking organizations improve patient care.
However, a lack of in-house expertise to develop and implement AI can lead to numerous complications. The best way to mitigate the risk and make generative AI implementation seamless is by partnering with AI experts. Inferenz has a team of expert AI developers who can help you create a roadmap from start to finish. The professionals can ensure a speedy implementation, ensuring there are no errors.
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