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Tag: data analysis
09/25/2023

Glucose Data Reveals Seasonal Patterns in Diabetes Care

Article Excerpt: People with diabetes tend to maintain healthier blood sugar levels in the warmer months from April to September, according to a Dartmouth study published on Friday in Science Advances. The researchers accessed data from wearable glucose monitors that showed how 137 people aged 2 to 76 living primarily with type 1, aka juvenile, diabetes managed their blood sugar on a daily basis. By analyzing more than 91,000 days of data, the study provides the most detailed look yet at how diabetes management can vary by month, day, age, and even how experienced a patient is with the condition. “We’re looking for specific patterns that could potentially inform clinical guidelines and set the stage for targeted interventions,” says Temiloluwa Prioleau, assistant professor of computer science, one of the study co-authors.

Full Article: https://tinyurl.com/2avxt7z2

Article Source: Dartmouth News

Posted in: Emerging Technologies // Tagged: ; ; ; ; ; ;
09/06/2023

Technology Helps Bring Health Equity to Underserved Communities

Article Excerpt: Health equity, as defined by the U.S. Department of Health and Human Services, is the attainment of the highest level of health for all people. It requires concentrated efforts to eliminate health and healthcare disparities and, more than ever, technology has become a major tool in the process. “From my perspective, technology has a huge value to provide health equity,” says Albert Blankley, COO of Common Ground Health, a health research and planning organization for the nine county Finger Lakes region founded in 1974. The organization’s mission is to bring greater focus to community health issues via data analysis, resident engagement and solution implementation, via regional collaboration and partnerships.

Full Article: https://tinyurl.com/22zwb6am

Article Source: Rochester Business Journal

Posted in: Methodologies & Analytics // Tagged: ; ; ; ; ; ; ;
06/21/2023

Health Watch: New Center Focuses on AI’s Impact on Future of Health Care

Article Excerpt: A new center based at the Dartmouth-Hitchcock Medical Center in Lebanon will focus on artificial intelligence and the transformative role it’s expected to play in health care over the next decade. We may not know it but artificial intelligence, or AI, is all around us, whether it’s the cars we drive or the cellphones we use on a regular basis. And that includes how health care is delivered. “Computers are getting very good at solving problems,” Saeed Hassanpour said. Hassanpour is the director of the Center for Precision Health and Artificial Intelligence, which he calls a hub for education and research. It’s based in the Williamson building at the Dartmouth-Hitchcock Medical Center and is a collaboration between the Dartmouth Cancer Center, Dartmouth College and the Geisel School of Medicine.

Full Article: https://tinyurl.com/2b4sswn7

Article Source: WCAX

Posted in: Emerging Technologies, Methodologies & Analytics // Tagged: ; ; ; ; ; ;
06/20/2023

Can Wearables Improve Outcomes Among Hospitalized Patients?

Article Excerpt: New research published in JAMA Network Open found that hospitalized patients using wearable devices had better physical activity levels and physical functioning as opposed to patients receiving standard care. Typically, hospitalized patients engage in limited levels of physical activity. This often leads to adverse health outcomes. However, the capabilities of wearable devices led researchers to examine their efficacy in boosting patient activity levels.

Full Article: https://tinyurl.com/2p9es8v3

Article Source: mHealth Intelligence

Posted in: Emerging Technologies, Methodologies & Analytics // Tagged: ; ; ; ; ; ; ; ;
06/09/2023

DHMC Campus to Host AI Initiative

Article Excerpt: With $2 million, the Geisel School of Medicine and the Dartmouth Cancer Center are launching a new Center for Precision Health and Artificial Intelligence on the Dartmouth Hitchcock Medical Center campus in Lebanon. The new center, which will be based in the Williamson Translational Research Building on DHMC’s campus, aims to bring together related research and clinical efforts across Dartmouth to use information about patients’ biology, such as genetics, medical history, lifestyle and environment to create personalized treatment plans and disease-prevention strategies in order to improve people’s health. “It is a very active domain of research,” Saeed Hassanpour, a Dartmouth associate professor of biomedical data science, epidemiology and computer science and the center’s inaugural director, said in a phone interview. “There’s a lot of promise.”

Full Article: https://tinyurl.com/4zvp4rkb

Article Source: Valley News

Posted in: Methodologies & Analytics // Tagged: ; ; ; ; ; ; ;
06/08/2023

Geisel Study Offers New Insights into How Medicare Fraud Has Spread Across U.S. Regions in Recent Years

Article Excerpt: Findings from an innovative study conducted by a team of researchers at Dartmouth’s Geisel School of Medicine and published in the journal Social Science & Medicine, are providing new insights into how the rapid spread (or diffusion) of fraudulent Medicare home healthcare billing has occurred across the U.S. in recent years. To understand the significant growth of Medicare fraud during the 2000s in just a few regions of the country, the research team examined the network structure of home health agencies (HHAs) and identified a set of characteristics shared by regions where fraud was most likely to occur.

Full Article: https://tinyurl.com/26r8rymk

Article Source: Dartmouth Geisel School of Medicine News

Posted in: Methodologies & Analytics // Tagged: ; ;
06/07/2023

Dartmouth Launches Center for Artificial Intelligence, Precision Medicine

Article Excerpt: Dartmouth launched its Center for Precision Health and Artificial Intelligence (CPHAI) this week, which is set to advance interdisciplinary research into how artificial intelligence (AI) and biomedical data can be used to improve precision medicine and health outcomes. CPHAI’s launch is supported by $2 million in initial funding from Dartmouth’s Geisel School of Medicine and the Dartmouth Cancer Center. The center’s research aims to improve public health and healthcare delivery while maintaining rigorous ethical standards for health AI, according to CPHAI’s website.

Full Article: https://tinyurl.com/2p983hnm

Article Source: Precision Medicine News

Posted in: Methodologies & Analytics // Tagged: ; ; ; ; ; ; ;
05/24/2023

Telehealth for Addiction Treatment Rose Early in the COVID-19 Pandemic

Article Excerpt: Published in JAMA Network Open, new study findings indicate that insured adults, particularly those who were younger, had higher participation rates in overall and telehealth-enabled addiction treatment following the start of the COVID-19 pandemic. At the start of the COVID-19 pandemic, there was an unprecedented and widespread shift to virtual care modalities. Although many studies have indicated success associated with telehealth use, researchers aimed to discern its relationship with treatment for addiction. They also sought to determine whether there were differences in addiction treatment utilization after telehealth policy changes by demographics such as age, race, ethnicity, and socioeconomic status.

Full Article: https://tinyurl.com/y5jb33ud

Article Source: mHealth Intelligence

Posted in: Methodologies & Analytics // Tagged: ; ; ; ;
05/09/2023

Can Machine Learning, Wearable Tech Help Treat Mental Health?

Article Excerpt: New research from the Icahn School of Medicine at Mount Sinai in New York indicated that using Apple Watch data, such as heart rate variability and resting heart rate, could assist in training machine learning models to determine patient well-being and resilience. According to the Centers for Disease Control and Prevention (CDC), over 20 percent of US adults have a mental illness. The CDC also noted that mental health diagnoses are some of the most common health conditions in the US. This latest study showed that wearable devices could help support patients with mental health diagnoses by collecting assistive data.

Full Article: https://tinyurl.com/3xubk4du

Article Source: Health IT Analytics

Posted in: Emerging Technologies // Tagged: ; ; ; ; ; ; ; ;