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Nigeria: A Case for Effective Electronic Medical Records Culture in Nigeria
[Daily Trust] The relevance of electronic medical records in Nigeria cannot be over-emphasized. However, implementing a functional and effective EMR system requires a collaborative and multi-faceted approach that addresses legal, technological, cultural, and organisational issues. Periodic but regular communication and collaboration among stakeholders are essential for a successful implementation. (Source: AllAfrica News: Health and Medicine)
Source: AllAfrica News: Health and Medicine - April 18, 2024 Category: African Health Tags: Economy, Business and Finance Health and Medicine ICT and Telecom Nigeria West Africa Source Type: news

Doctors Need to Get Better at Recognizing Munchausen Syndrome by Proxy
Whether fictional or fact-based, Munchausen syndrome by proxy grips the public. Media depictions in The Sixth Sense and Sharp Objects and real-life news coverage of Gypsy Rose Blanchard’s December 2023 release from jail are hard to look away from. The most well-known cases—real or dramatized—are often the starkest ones, but Munchausen by proxy comes in subtler, harder-to-detect forms too. [time-brightcove not-tgx=”true”] “The media are fascinated, but they tend to depict the most extreme cases,” says Dr. Marc D. Feldman, distinguished life fellow of the American Psychiatric Ass...
Source: TIME: Health - April 18, 2024 Category: Consumer Health News Authors: Sarah Klein Tags: Uncategorized freelance healthscienceclimate Source Type: news

The Red Cross Red Crescent Health Information System (RCHIS): an electronic medical records and health information management system for the Red Cross Red Crescent emergency response units - Holl F, Clarke L, Raffort T, Serres E, Archer L, Saaristo P.
BACKGROUND: The Red Cross and Red Crescent Movement (RCRC) utilizes specialized Emergency Response Units (ERUs) for international disaster response. However, data collection and reporting within ERUs have been time-consuming and paper-based. The Red Cross ... (Source: SafetyLit)
Source: SafetyLit - April 10, 2024 Category: International Medicine & Public Health Tags: Disaster Preparedness Source Type: news

Your Doctor ’ s Words Could Make You Sick
“You may feel a sharp pinch, but it will all be over quickly.” Before the COVID-19 jab was plunged into our arms, most of us probably heard words similar to these. After the anticipated pinch, the nurse or doctor likely told us something about possible vaccine side effects. For one of us, the nurse’s forewarning was rather specific: “Around 12 hours from now you may experience a pain in your arm or feel flu symptoms. But don’t worry,” the nurse aimed to reassure. “This can be easily managed by Tylenol.” [time-brightcove not-tgx=”true”] Sure enough, like clo...
Source: TIME: Health - April 4, 2024 Category: Consumer Health News Authors: Charlotte Blease, Michael Bernstein, Cosima Locher, and Walter Brown Tags: Uncategorized freelance History Source Type: news

The PACSman Pontificates: Dog tired after HIMSS 2024
Michael J. Cannavo.Lying in bed the night after my visit to the Healthcare Information and Management Systems Society (HIMSS) 2024 meeting in Orlando with my legs moving like Elvis in concert and my kidneys on overdrive from all the water I drank trying to stay hydrated, I heard the music from the movie Chariots of Fire running through my head. I looked it up this morning and understood why. “This is the story of two men who run ... not to run ... but to prove something to the world. They will sacrifice anything to achieve their goals.” That pretty much summarizes how I felt after a full day walking the exhibit hall ...
Source: AuntMinnie.com Headlines - March 19, 2024 Category: Radiology Authors: Michael J. Cannavo Tags: Enterprise Imaging Artificial Intelligence Source Type: news

Researchers Are Using AI to Find New Alzheimer ’ s Risk Factors
Brain experts have a pretty good handle on some of the major risk factors that contribute to Alzheimer’s—from a person’s genes to their physical activity levels, how much formal education they’ve received, and how socially engaged they are. But one promise of AI in medicine is that it can spot less obvious links that humans can’t always see. Could AI help uncover conditions linked to Alzheimer’s that have so far been overlooked? [time-brightcove not-tgx=”true”] To find out, Marina Sirota and her team at University of California San Francisco (UCSF) ran a machine-lear...
Source: TIME: Health - March 5, 2024 Category: Consumer Health News Authors: Alice Park Tags: Uncategorized healthscienceclimate Source Type: news

ECR: AI algorithm quantifies fatty tissue on chest CT for lung cancer prognosis
VIENNA - A deep-learning algorithm used with chest CT can help clinicians quantify patients' subcutaneous fat tissue levels on lung cancer screening -- and thus better predict disease outcomes, according to a presentation delivered on 29 February at ECR 2024. The findings could help clinicians tailor patient care, said presenter Dr. Fabian Pallasch of University Medical Center Freiburg in Germany. "[We found that] subcutaneous adipose tissue density at baseline and a decrease in subcutaneous adipose tissue volume and density within one year [were] associated with mortality beyond clinical risk factors, which may help to ...
Source: AuntMinnie.com Headlines - March 3, 2024 Category: Radiology Authors: Kate Madden Yee Tags: Clinical News CT Source Type: news

Uganda Sees Health Workforce Gains; Increases in Family Planning and Safe Deliveries at End of USAID Project
cbalesFebruary 19, 2024February 19, 2024Between 2017 and 2023, Uganda strengthened its health workforce and systems, improved health services, and championed locally led development in collaboration with IntraHealth ’sRegional Health Integration to Enhance Services in Eastern Uganda (RHITES-E) Activity.Led by IntraHealth in partnership with The AIDS Support Organization (TASO), Communication for Development Foundation Uganda (CDFU), Malaria Consortium, and Medic, the USAID-funded project worked closely with the government at the national and local levels to expand access to high-quality health services. RHITES-E also sup...
Source: IntraHealth International - February 19, 2024 Category: International Medicine & Public Health Authors: cbales Source Type: news

U.S. Nuclear Missile Bases Under Investigation for Cancer Risks
The U.S. Air Force is investigating nuclear missile bases for asbestos and other potentially cancer-causing materials. The Associated Press recently revealed that the issues date as far back as the late 1980s. Reports prove that the Air Force has been aware of toxic chemicals at nuclear launch silos for decades. Air Force documents reveal details about several leaks and spills at missile bases across the country over the course of several years. Records describe repeated spills or leaks affecting service members working at the sites. The documents reveal internal reports of asbestos leaks at missile silos in 1989, as ...
Source: Asbestos and Mesothelioma News - February 9, 2024 Category: Environmental Health Authors: Amy Edel Tags: Air Force Asbestos (general) Asbestos Exposure Cancer (Non-Meso) Source Type: news

BERT-based neural network for inpatient fall detection from electronic medical records: retrospective cohort study - Cheligeer C, Wu G, Lee S, Pan J, Southern DA, Martin EA, Sapiro N, Eastwood CA, Quan H, Xu Y.
BACKGROUND: Inpatient falls are a substantial concern for health care providers and are associated with negative outcomes for patients. Automated detection of falls using machine learning (ML) algorithms may aid in improving patient safety and reducing the... (Source: SafetyLit)
Source: SafetyLit - February 1, 2024 Category: International Medicine & Public Health Tags: Economics of Injury and Safety, PTSD, Injury Outcomes Source Type: news

Year-round injury and illness surveillance in UK summer paralympic sport athletes: 2016-2019 - Brownlow M, Wootten M, McCaig S, Taylor A, Webborn N, Bennett P, Wass J, Ibrahim D, Ranson C.
OBJECTIVE: To identify the priority injuries and illnesses across UK summer Paralympic World Class Programmes (WCP). METHODS: Four years (2016-2019) of electronic medical records from 360 athletes across 17 Paralympic WCP sports were analysed. ... (Source: SafetyLit)
Source: SafetyLit - January 24, 2024 Category: International Medicine & Public Health Tags: Ergonomics, Human Factors, Anthropometrics, Physiology Source Type: news

High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning - Dhaubhadel S, Ganguly K, Ribeiro RM, Cohn JD, Hyman JM, Hengartner NW, Kolade B, Singley A, Bhattacharya T, Finley P, Levin D, Thelen H, Cho K, Costa L, Ho YL, Justice AC, Pestian J, Santel D, Zamora-Resendiz R, Crivelli S, Tamang S, Martins S, Trafton J, Oslin DW, Beckham JC, Kimbrel NA, McMahon BH.
We present an ensemble transfer learning method to predict suicide from Veterans Affairs (VA) electronic medical records (EMR). A diverse set of base models was trained to predict a binary outcome constructed from reported suicide, suicide attempt, and ove... (Source: SafetyLit)
Source: SafetyLit - January 22, 2024 Category: International Medicine & Public Health Tags: Economics of Injury and Safety, PTSD, Injury Outcomes Source Type: news

Biomarker model predicts breast cancer risk without racial bias
CHICAGO -- A new breast cancer risk assessment technique that uses mammography biomarkers shows no racial bias, according to research presented November 29 at the RSNA meeting.The findings offer another way to foster breast cancer early detection, improve patient survival rates across different populations, and reduce disparity in survival rates, said study lead author Leslie Lamb, MD, of Massachusetts General Hospital (MGH) in Boston in a statement. “In the domain of precision medicine, risk-based screening has been elusive because we have not been able to accurately evaluate a woman’s risk of developing breast cance...
Source: AuntMinnie.com Headlines - November 29, 2023 Category: Radiology Authors: Liz Carey Tags: Subspecialties Womens Imaging Breast Imaging RSNA 2023 Source Type: news

AI plus CT calculates cardiothoracic ratio for high risk patients
CHICAGO -- A fully automated AI algorithm designed to opportunistically screen for enlarged heart, or cardiomegaly, on routine chest and abdominal CT exams was highly predictive of future cardiovascular events, according to research presented November 26 at RSNA 2023.Presenter Steven Rothenberg, MD, of the University of Alabama in Birmingham, said calculating the cardiothoracic ratio (CTR) was most useful for opportunistic screening of cardiomegaly on cross-sectional imaging.“We hypothesized that a suite of fully automated algorithms that quantifies the cardiothoracic ratio would predict future cardiovascular events,” ...
Source: AuntMinnie.com Headlines - November 27, 2023 Category: Radiology Authors: Liz Carey Tags: CT Cardiovascular Radiology Cardiac Imaging 2023 Source Type: news

AI model identifies high-risk lung cancer in nonsmokers
In this study, the researchers externally validated the model in a separate group of never-smokers who underwent routine outpatient chest x-rays from 2013 to 2014. The primary outcome was six-year incident lung cancer, identified using International Classification of Disease codes. Risk scores were then converted to low, moderate, and high-risk groups based on externally derived risk thresholds. Of 17,407 patients (mean age 63 years) included in the study, 28% were deemed high risk by the deep learning model, and 2.9% of these patients later had a diagnosis of lung cancer, according to the findings. In addition, the high-...
Source: AuntMinnie.com Headlines - November 22, 2023 Category: Radiology Authors: Will Morton Tags: 2023 Source Type: news