Boston Children's Hospital hires ready-to-work engineer to help healthcare organizations implement and use artificial intelligence applications

Applications of AI


Hospitals, clinical laboratories, and other healthcare providers working with AI are finding that they need to hire their own engineers on the fly, and this could be a new “sign of the times.”

Last year, Boston Children's Hospital hired a “ready-to-work engineer” to further its use of artificial intelligence (AI) as part of its business model. But what is AI prompting? This is a relatively new term and may be unfamiliar to clinical laboratory and pathology leaders.

According to Florida State University, “prompting” in AI “refers to the process of interacting with an AI system by providing specific instructions or queries to achieve a desired outcome.”

According to workable.com, prompt engineers specialize in “developing, refining, and optimizing AI-generated text prompts to ensure they are accurate, engaging, and relevant for a variety of applications.” . We also work with various teams to improve the prompt generation process and overall AI system performance. ”

Healthcare organizations, including lab and pathology departments, are getting serious about leveraging AI to improve daily workflows and clinical care. But adopting new technology can have disruptive effects. To ensure a smooth implementation, the hospital is currently seeking a ready-to-work engineer to guide the organization's AI usage strategy.

When leaders at Boston Children's Hospital began searching for such a person, they looked for “someone with a clinical background.” [and] No one will know how to use these tools. Someone who has experience coding large-scale language models and natural language processing, and also understands clinical language.” today's med page.

Dr. John Brownstein, chief innovation officer at Boston Children's Hospital and professor of biomedical informatics at Harvard Medical School, said, “We received a huge number of applications, some of them really great, but we didn't want them to have specific skills and backgrounds. I was looking for it,” he said. today's med page.

“It wasn't easy to find [someone]”He's a bit of a unicorn-type candidate,” said Brownstein, who is also a medical contributor. ABC News.

After a four-month search, the hospital hired Dr. Dinesh Rai, an emergency room physician and AI engineer, for the position. Brownstein said Lai “lived his life practicing medicine and living in a clinical environment” and “successfully launched many drugs.” [AI] Build applications on top of large-scale language models. ” today's med page report.

“I brought to the table some nuances from the perspective of being a physician, having worked clinically, and having a deep understanding of clinical workflow and how it is practiced. [AI] Technology — where its limits are, where it excels, and the quickest way to get things done [done]'' Dr. Dinesh Rai (above) told MedPage Today. “We're happy to help with all of that.” The hospital's clinical laboratory and pathology managers may soon be working with engineers to ensure smooth use of her AI in their departments. there is. (Photo credit: LinkedIn.)

Prompt engineers are like F1 drivers

“It's like driving a car. Basically anyone can drive an automatic car, and anyone can go to ChatGPT and write a text and get a pretty solid response,” Lai said. We have explained how the AI ​​will prompt you to: today's med page.

And, he added, “Some people know how to drive manually, and some people know different prompting techniques, such as thought chains and zero-shot prompts.” “And F1 drivers are very familiar with the mechanics of their car and how to use it most optimally.”

The American Hospital Association (AHA) believes that AI has “significant potential to help healthcare providers gain insights and improve health outcomes.” In an article titled “How AI is Improving Diagnosis, Decision Making, and Care,” the AHA states: “Although many questions remain regarding the safety, regulation, and impact of AI, the use of AI in clinical care is no longer subject to regulation.” Still in its infancy, it is expected to grow rapidly in the coming years. It is expected that

“AI improves data processing, identifies patterns, and generates insights that may not be discovered through manual work by physicians.” According to the recently released Futurescan 2023, hospitals and health systems will benefit from supporting AI technology. “The next five years will be critical in building the infrastructure needed for this,” the AHA wrote.

The image above is taken from an American Hospital Association article about Futurescan's 2023 survey results on AI in healthcare. “Healthcare executives across the United States are confident that by 2028, federal regulators will ensure that AL to enhance clinical care delivery (e.g., diagnostic and prescribing assistance, personalized dosing and care) is safe in our hospitals and institutions.” “How likely is it that they will decide that it can be used by the health care system,” the AHA said. This includes the use of AI in clinical laboratories and pathology group practices. (Graphic credit: American Hospital Association)

The AHA lists the top three opportunities for AI in clinical care as follows:

  • clinical decision making tools: “AI algorithms analyze vast amounts of patient data and help healthcare professionals make more informed decisions about care.”
  • Diagnosis and imaging: The use of AI “allows healthcare professionals to structure, index, and leverage diagnostic and imaging data to make more accurate diagnoses.”
  • patient safety: The use of AI improves decision-making and optimizes health outcomes by evaluating patient data. “Systems incorporating AI can improve error detection, stratify patients, and manage drug delivery.”

Boston Children's Hospital's hiring of an immediate engineer is another example of AI gaining momentum in clinical care. Nearly half of hospital CEOs and strategic leaders believe their health systems will have the infrastructure in place to successfully leverage AI in clinical decision-making by 2028, according to the Futurescan 2023 survey.

“It's lucky that [be] in an organization that recognizes the importance of AI as part of the future of medical practice,” Lai said. today's med page.

Pathologists, clinical laboratories, and genetic testing company managers will want to track further advances in artificial intelligence. The capabilities of future generations of AI solutions may at some point lead research institutions to hire their own turnkey engineers.

—JP Schlingman

Related information:

Why a hospital hired an AI Prompt engineer

This children's hospital is integrating AI and medicine

How 5 healthcare organizations are investing in AI for patient care

What is a large-scale language model (LLM)?

How AI is improving diagnosis, decision-making and care

Prompt engineer job description

encourage chain of thought

zero shot prompt

Futurescan 2023: Healthcare trends and their impact

Artificial intelligence in the operating room: Dutch scientists develop AI application to inform surgical decision-making during cancer surgery

British study claims AI readings of CT scans are almost twice as accurate as laboratory tests of sarcoma biopsies in grading some cancers

Stanford researchers train new pathology AI model using text and images from pathologists' Twitter accounts



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