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Tag: data analysis
03/20/2023

Data-Centric AI is Making Waves

Article Excerpt: With the shift to data-centric AI the industry is seeing a higher priority being placed on the quality of the data used in AI systems, and as a result there is potential for more accurate and reliable outputs, especially within the healthcare context. Healthcare is uniquely suited to a data-centric AI approach. Currently, healthcare is generating the world’s largest volume of data, and it isn’t going to slow down anytime soon. It is estimated that by 2025, 36% of the world’s generated data will be healthcare data and every year we are seeing more than two million scientific articles published. Unfortunately, much of the world’s data remains disconnected, disorganized, conflicting, and unstructured.

Full Article: https://tinyurl.com/mvpnb67j

Article Source: Fierce Biotech

Posted in: Methodologies & Analytics // Tagged: ; ; ; ;
02/15/2023

ChatGPT Gets Dartmouth Talking

Article Excerpt: ChatGPT, OpenAI’s trending chatbot that generates conversational responses to user prompts through advanced artificial intelligence, has been busy since its launch in late November… “ChatGPT and other generative AI technologies have huge potential for—and will have huge effects on—education,” says Provost David Kotz ’86, the Pat and John Rosenwald Professor in the Department of Computer Science. “My hope is to provide immediate support to faculty and instructors to become familiar with the technology and its impacts, and then look further down the road to consider how we can leverage it as a pedagogical tool, recognizing that it will be part of the future of teaching, learning, scholarship, and work.”

Full Article: https://tinyurl.com/59hbkfzm

Article Source: Dartmouth News

Posted in: Emerging Technologies, Methodologies & Analytics // Tagged: ; ; ; ; ; ; ;
02/07/2023

AI and Genetics Could Help Doctors Treat Alcohol Addiction, Research Shows

Article Excerpt: Imagine a patient has been diagnosed with alcohol use disorder, and their health care provider is reviewing medication options to help them curb their drinking. The provider asks the patient some basic questions, like alcohol cravings and stress levels, and collects a blood sample for genetic testing. A computer model uses this information to determine which medication would most likely support the patient with managing their alcohol use. With the help of the model, the provider gives a medication recommendation that is the best fit for their patient.

Full Article: https://tinyurl.com/58msbx3c

Article Source: Medical Xpress

Posted in: Emerging Technologies // Tagged: ; ; ; ; ; ; ;
02/01/2023

‘There’s a Sense of Urgency’: How Wearables Could Reshape Addiction Treatment

Article Excerpt: Wearables offer addiction treatment providers tantalizing opportunities to improve care outcomes. Increasingly sophisticated devices are now available at affordable price points. Effortless data collection opens the door to more objectivity in a highly subjective field. But there’s a serious problem. Researchers and practitioners still need to figure out what to do with the mountains of data that wearables could produce.

Full Article: https://tinyurl.com/5n968229

Article Source: Behavioral Health Business

Posted in: Emerging Technologies, Methodologies & Analytics // Tagged: ; ; ; ; ; ; ;
01/05/2023

Leaning In: How eCOA can Help Advance Mental Health Research

Article Excerpt: Electronic Clinical Outcomes Assessment and digital health tools were well-suited to accommodate the rapid rise of virtual and telehealth shifts during the Covid-19 pandemic and there is no going back. The adoption of eCOA technology in mental healthcare research can make pivotal advancements in mental health patient care.

Full Article: https://tinyurl.com/2wubjsws

Article Source: MedCityNews

Posted in: Methodologies & Analytics // Tagged: ; ; ; ; ;
11/07/2022

Weill Cornell Medicine Awarded NIH Grant to Address Opioid Health Crisis

Article Excerpt: Weill Cornell Medicine has been awarded a five-year, $8.1 million grant from the National Institutes of Health (NIH) to support economic analysis, simulation modeling and other research approaches to help stem the national opioid epidemic. “We’ve continued to witness the very disturbing increase in opioid overdoses over the last seven years, fueled by more fentanyl in the drug supply,” said principal investigator Dr. Bruce Schackman, the Saul P. Steinberg Distinguished Professor of Population Health Sciences and director of the Center for Health Economics of Treatment Interventions for Substance Use Disorder, HCB, and HIV (CHERISH) at Weill Cornell Medicine. “Opioid overdoses are now the highest they’ve ever been. That’s been a big driver of a greater national focus on treatment and interventions to reduce overdoses.”

Full Article: https://tinyurl.com/4px27edj

Article Source: Weill Cornell Medicine News

Posted in: Methodologies & Analytics // Tagged: ; ; ; ; ; ; ; ;
09/22/2022

Artificial Intelligence Tools Quickly Detect Signs of Injection Drug Use in Patients’ Health Records

Article Excerpt: An automated process that combines natural language processing and machine learning identified people who inject drugs (PWID) in electronic health records more quickly and accurately than current methods that rely on manual record reviews. Currently, people who inject drugs are identified through International Classification of Diseases (ICD) codes that are specified in patients’ electronic health records by the health care providers or extracted from those notes by trained human coders who review them for billing purposes. But there is no specific ICD code for injection drug use, so providers and coders must rely on a combination of non-specific codes as proxies to identify PWIDs—a slow approach that can lead to inaccuracies.

Full Article: https://tinyurl.com/2p9b7wc3

Article Source: Medical XPress

Posted in: Emerging Technologies, Methodologies & Analytics // Tagged: ; ; ; ; ; ;
09/15/2022

Developing Trust in Healthcare AI, Step by Step

Article Excerpt: A new analysis examines how artificial intelligence in medicine can impact clinical decisions and identifies the steps that could build more trust in machine learning models from doctors and patients… As the usage of artificial intelligence in healthcare grows, some providers are skeptical about how much they should trust machine learning models deployed in clinical settings. AI products and services have the potential to determine who gets what form of medical care and when – so stakes are high when algorithms are deployed, as Chilmark’s 2022 “AI and Trust in Healthcare Report,” published September 13, explains.

Full Article: https://tinyurl.com/3fv7mczs

Article Source: Healthcare IT News

Posted in: Methodologies & Analytics // Tagged: ; ; ; ;
09/14/2022

Physician Adoption of Digital Health Tools Is Accelerating, AMA Research Shows

Article Excerpt: The American Medical Association’s digital health research released today shows increased rates of digital health adoption among physicians over the last six years and provides insights into their expectations. “The AMA survey illustrates the importance physicians place on validated digital health tools that improve health while streamlining the technological and administrative burdens faced each day in medicine,” said AMA President Dr. Jack Resneck Jr. in a statement. “These technologies also must be designed and deployed in ways that advance health equity,” he added.

Full Article: https://tinyurl.com/ykvhp5jz

Article Source: Health IT News

Posted in: Methodologies & Analytics // Tagged: ; ; ; ; ; ;