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Tag: data collection

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.”

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Article Source: Dartmouth News


‘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.

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Article Source: Behavioral Health Business


Are Wearables Helpful for Dying Patients?

Article Excerpt: A 2019 study found that health tech wearables may improve the outpatient monitoring of cancer patients. The device could detect a decline in a patient’s condition and send the data to a doctor, catching the issue much earlier than the typical trip to the emergency department. This early catch supports patient comfort and reduces costly readmissions for the patient and the health system. Data collection could also improve telehealth visits by recording vital signs and other assessment data before or during appointments.

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Article Source: Health News


Mobile App–Based Self-Report Questionnaires for the Assessment and Monitoring of Bipolar Disorder: Systematic Review

Chan E, Sun Y, Aitchison K, Sivapalan S. Mobile App–Based Self-Report Questionnaires for the Assessment and Monitoring of Bipolar Disorder: Systematic Review. JMIR Form Res 2021;5(1):e13770 DOI: 10.2196/13770

to determine the state of evidence for feasibility and validity of mobile app-based self-report questionnaires as tools for monitoring of bipolar symptoms. All papers published in English that assessed adherence to and validity of mobile app-based self-report surveys for monitoring patients with bipolar disorder were included. A total of 13 articles were identified. Four studies assessed the concurrent validity of mobile self-report tools and all 4 found a statistically significant association between mood ratings collected via mobile app self-report and clinical assessment using the Hamilton Depression Rating Scale or Montgomery-Asberg Depression Rating Scale. . Two studies observed statistically significant associations between data collected via mobile app self-report tools and instruments assessing clinically- related factors. Satisfactory adherence rates (at least 70%) were observed in all but 1 study that used a once-daily assessment. There was a wide range of adherence rates in studies using twice-daily assessments (42-95%). Overall, the review demonstrated that mobile app-based self-report instruments are valid relative to established assessment methods for measuring symptoms of mania and depression in patients with bipolar disorder. Future research is needed to evaluate feasibility of mobile self-report methods for identifying acute episodes and to inform insights into differences between patients with bipolar disorder and those without lived experience of this condition.


Leveraging Data From Wearable Medical Devices

Article Excerpt: Diabetes, and other chronic conditions like cancer or cardiovascular disease, require a lifetime of management. In recent years, a slew of wearable devices such as glucose monitors, activity trackers, heart rate monitors, and pulse oximeters have been adopted by patients and health care providers to track and manage these conditions more effectively. These devices are also a rich source of data that can be analyzed to better understand the factors and behaviors that lead to improved health outcomes. “But they’re vastly underutilized,” says Temiloluwa Prioleau, assistant professor of computer science and co-director of the Augmented Health Lab, which is focused on bridging this gap.

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Article Source: Dartmouth News


In the US, A New Approach to Counting Overdoses

Article Excerpt: Accessing overdose data is particularly tricky in Texas, although a dearth of timely and complete numbers is also a problem in many other states. Often, the data isn’t updated in real time, nor does it include non-fatal overdoses. There may also be inconsistencies in how the deaths are reported. To change that, researchers across the United States have been setting up new digital platforms with reports from people who use drugs, medical examiners, and others. While these platforms may lack the rigor of official government numbers, the academics say the new data could tell Project Vida and programs like it where to focus efforts — and, they argue, could save lives.

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Article Source: GCN


This Pitt Researcher Is Using Data to Fight the Opioid Epidemic

Article Excerpt: Pennsylvania’s opioid epidemic knows no boundaries or borders. It touches rural and urban areas, former steel towns and bustling downtowns. And approaches to fighting the epidemic are as diverse as the people it impacts. Pitt’s Jeanine Buchanich, a research associate professor in the School of Public Health, is taking a big-picture approach to figuring out what programs will best tackle the problem. Since 2019, she has partnered with the Pennsylvania Department of Health to evaluate community-based programs using data tracking and analysis, funded by an Overdose Data to Action grant from the Centers for Disease Control and Prevention. Buchanich has evaluated public health interventions as varied as community-level training for first responders on naloxone use and stigma reduction; county and municipal health department prevention efforts; the Patient Advocacy Program, which helps patients who have been prescribed controlled substances; local and statewide provider education efforts and Pennsylvania’s Prescription Drug Monitoring Program.

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Article Source: University of Pittsburgh Pittwire


On a Mission for Mental Health

Article Excerpt: (Andrew) Campbell, the Albert Bradley 1915 Third Century Professor (at Dartmouth College), thinks about his brother every day in his research on computer science and mental health. Ed suffered his first depressive episode as a freshman at Durham University in the early 1980s. He battled bipolar disorder his entire adult life and died by suicide in 2009, at age 48. “The story about how I got involved in student health all goes back to my brother,” Campbell says. Ed’s family was blindsided by his death. After that, computer science was no longer just an academic interest to his older brother. For Campbell, who earned a PhD at Lancaster University in 1996 and came to Dartmouth in 2006, it became a tool to help those with mental health issues.

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Article Source: Dartmouth News


Walking or Biking to Work Could Make You More Productive

Article Excerpt: For 14 years, Kerry Mellin commuted 40 miles to her job as a motion picture costumer at Nickelodeon Studios in Burbank, Calif. The trip from her home in Simi Valley took her east via Route 118, then south onto Interstate 5. Three turns later, she was there. On a good day, the drive took 75 minutes. “On bad traffic days, it was easily two hours,” she says. “The road rage was real. I felt trapped in my lane, and my sciatica was killing me.” No productivity guru preaches the benefits of morning anger and back pain. But exactly how an odyssey such as Mellin’s affects the workday hasn’t been fully understood. New research from Dartmouth helps quantify the cost of commuting on performance. “Your commute predicts your day,” says Andrew Campbell, lead researcher of the study and a professor of computer science.

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Article Source: Bloomberg