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Tag: health data
11/29/2023

A Year After Launching, ChatGPT Is Already Changing Medicine

Article Excerpt: It’s passed medical licensing exams. It’s advanced how researchers develop new medicines and cut down on doctors’ hefty paperwork. And it’s nudged health care closer to a world where AI can offer diagnoses. Why it matters: One year after OpenAI’s ChatGPT exploded onto the scene, the generative AI model is already upending health care — an industry not exactly known for its speedy adoption of tech — while accelerating questions about AI’s promises and limitations. The big picture: While AI and algorithms have been used in health care for decades, ChatGPT and other generative AI models that quickly followed have supercharged their use across research and the delivery of care.

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

Article Source: Axios

Posted in: Emerging Technologies // Tagged: ; ; ; ; ; ;
11/16/2023

Why Healthcare is the Perfect Place For AI to Shine

Article Excerpt: It’s become increasingly clear that, for AI to be of real service, data quality is just as important a consideration as data quantity. This is exactly why healthcare is the ideal partner for this technology — it offers a perfect combination of quantity and quality. To start, although healthcare has large quantities of unstructured data, much of the data in healthcare is standardized in the form of diagnostic, lab, medication, and procedural data. AI can handle both structured and unstructured material, but high-quality structured material works best for training, giving healthcare an advantage over other industries. That means healthcare is already starting in a better place than most other industries.

Full Article: https://tinyurl.com/45n6me94

Article Source: MedCityNews

Posted in: Emerging Technologies // Tagged: ; ; ; ; ; ;
08/14/2023

Urgency Lies in Technology Management Solutions That Assure Patient Data Security

Article Excerpt: Because of the heightened urgency during the pandemic for streamlining remote work, adopting new technologies, enhancing telehealth and remoting monitoring for patient care, the shift to automation and increasing use of AI, has also brought a host of concerns. There is an alarming imbalance between technological advancements and the necessary resources to manage and secure such devices. This leaves healthcare organizations exposed to operational issues, cyberattacks and data breaches.

Full Article: https://tinyurl.com/524et25c

Article Source: Fierce Healthcare

Posted in: Methodologies & Analytics // Tagged: ; ; ; ; ;
06/29/2023

Mobile Voice Recognition Tech Can Help to Safeguard Mental Health Services

Article Excerpt: An intuitive, mobile solution using voice recognition that allows mental health clinicians to update notes, request changes to medication and create referral letters either while with the patient or straight afterwards, can radically reduce the time spent on administrative tasks. Information is recorded verbally, which is much quicker; and requests for additional services and support are processed immediately, avoiding unacceptable delays. Critically, patient information is up to date and, with direct integration to the EPR or other legacy system, all health providers, from acute services to GPs, have immediate visibility of a patient’s current status. This is particularly important for patients experiencing both mental and physical illness.

Full Article: https://tinyurl.com/3fd7ukxe

Article Source: Digital Health

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

‘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: ; ; ; ; ; ; ;
01/25/2023

NCI-Funded Centers Study New Ways to Apply Telehealth Across Cancer Care

Article Excerpt: …with the initial urgency of the pandemic in the past, public health agencies including NCI are examining ways to maximize the benefits of telehealth, from cancer screening to survivorship. NCI’s former director, Norman “Ned” Sharpless, MD, inspired agency officials to undertake a widespread effort to accelerate and optimize use of telehealth, (Robin C.) Vanderpool (chief of the health communication and informatics research branch in the division of cancer control and population sciences at NCI) said. “Dr. Sharpless came to our division and said, ‘We need take advantage of this one silver lining coming out of the pandemic.’” she said. “‘We need to understand what’s happening in the cancer space with telehealth.’”

Full Article: https://tinyurl.com/4r8h2yyu

Article Source: Healio

Posted in: Emerging Technologies, Methodologies & Analytics // Tagged: ; ; ; ; ; ;
10/17/2022

Designing an electronic medical record alert to identify hospitalised patients with HIV: successes and challenges

El-Nahal W, Grader-Beck T, Gebo K, Holmes E, Herne K, Moore R, Thompson D, Berry S. Designing an electronic medical record alert to identify hospitalised patients with HIV: successes and challenges. BMJ Health Care Inform 2022;29:e100521. doi:10.1136/bmjhci-2021-100521

An electronic medical record (EMR) alert system was developed to use readily available data elements to accurately identify hospitalized people with HIV. Authors described the design and implementation of the EMR alert and methods to evaluate its accuracy for identifying people with HIV. Over 24 months, the EMR alert was used to notify an intervention team and data abstraction team in real time about admissions of people with HIV. Sensitivity was assessed by comparing the machine-learning alert system to manual chart reviews. Positive predictive value (probability that a patient with a positive test result actually has the disease), was assessed by false positives identified in chart review (not having HIV despite alert triggering). Results demonstrated high sensitivity (sensitivity=100%, 95% CI 82-100%) and good predictive value (84%, 95% CI 82-86%). A combination of data (diagnosis, prescriptions, and lab orders) in the EMR alert system achieved high sensitivity and positive predictive value in identifying people with HIV. ICD Code diagnoses were the strongest contributors to predictive value, compared to the other criteria. Use of data-driven alerts in electronic health record systems can facilitate the deployment of multidisciplinary teams for medication review, education, case management, and outpatient linkage to follow-up.

Posted in: Cutting Edge Literature // Tagged: ; ; ; ; ;
09/22/2022

Dartmouth-led Research Team Receives $3.3 Million Grant to Test Efficacy of Adding Audio Recordings to Clinic Visits with Older Adults

Article Excerpt: A Dartmouth-led research group, including investigators from Vanderbilt University Medical Center (VUMC) and the University of Texas Medical Branch (UTMB), has received a $3.3 million grant from the National Institute on Aging. In this NIH stage III ‘real world’ efficacy trial, investigators will compare the impact of sharing visit recordings to care as usual over 12 months in older adults with diabetes. According to previous studies, up to 80 percent of clinic visit information is forgotten by patients immediately after seeing their healthcare provider. This presents a significant barrier to their ability to manage their conditions, especially if they are older and have comorbidities that lead to poor health outcomes. “After visit summaries can improve recall, but concerns still exist about their readability, accuracy, and low patient usage,” says Paul Barr, PhD, an associate professor of The Dartmouth Institute for Health Policy & Clinical Practice, and Center for Technology & Behavioral Health (CTBH) at the Geisel School of Medicine.

Full Article: https://tinyurl.com/54fuf7f4

Article Source: Dartmouth Geisel School of Medicine News

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