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Sustained decrease in latent safety threats through regular interprofessional in situ simulation training of neonatal emergencies

Simulation training at trainees' actual workplace offers benefits over traditional simulation-based team training. We prospectively investigated whether regular in situ simulation training of neonatal emergencies in an interprofessional and interdisciplinary team could be used to identify and rectif...
Source: nih.gov

(We are not) using eHealth Data to Inform CPD for Medical Practitioners

"There is no formal or well-established correlation between individual performance data obtained through eHealth data analysis and CPD planning and programming for medical practitioners; in particular, the literature shows no consistency in type of eHealth data to analyze, software and tools to use,...
Source: nih.gov

Artificial intelligence for healthcare and medical education: a systematic review

"After searching and reading a large amount of literature, we were surprised to find that most of the literature related to “AI+medical/medical education” was of low quality... This suggests us to conduct new research or improve the quality of research related to AI and medical/medical education....
Source: nih.gov

Randomised trial of general practitioner online education for prescribing and test ordering Andrew Bonney. Conrad Kobel.

Potentially inappropriate medicine prescriptions and low-value diagnostic testing pose risks to patient safety and increases in health system costs. The aim of the Clinical and Healthcare Improvement through My Health Record usage and Education in General Practice study was to evaluate a scalable online...
Source: nih.gov

Identifying the optimal time period for detection of atrial fibrillation after ischaemic stroke and TIA, an updated systematic

There is an almost 4-fold increase in nAF detection with continuous cardiac monitoring, compared to usual care. The results also demonstrate two statistically significant time periods in nAF detection; at 0-14 days and 6-12 months following monitoring commencement. These data support the utilisation...
Source: nih.gov

The effectiveness of team-based learning in nursing education: A systematic review - PubMed Nurse education today.

Overall, TBL was found to be effective in achieving undergraduate nursing students' learning outcomes, but evidence was not sufficiently strong to warrant that it is more effective than other teaching methods. The results of this review are in favour of the implementation of TBL in nursing education...
Source: nih.gov

Learning Outcomes of High-fidelity versus Table-Top Simulation in Undergraduate Emergency Medicine Education: Prospective,

The student's performance on quantitative medical-knowledge assessment was equivalent between the high-fidelity control and low-fidelity experimental simulation groups. Analysis of knowledge acquisition between the two groups also demonstrated statistical equivalence.
Source: nih.gov

Psychology of panic buying

I've been fascinated by the psychology of panic buying and it is clearly an area for future research. It has an enormous impact on delivery infrastructure and I wonder if anyone has been tracking the data of the causes and the impact in the current fuel 'crisis'. A systematic review from last year identified...
Source: nih.gov

Gout and 'Podagra' in medieval Cambridge, England - PubMed International journal of paleopathology.

"The high prevalence rate of gout in the friary is at least partly explained by the consumption of alcohol and purine-rich diets by the friars and the wealthy townsfolk. Medieval medical texts from Cambridge show that gout (known as podagra) was sometimes treated with medications made from the root of...
Source: nih.gov

Outcomes Standardisation Project (OSP) for Continuing Medical Education (CE/CME) Professionals:

Despite an increased focus and urgency for CE/CME professionals to effectively and systematically assess the impact of their educational interventions, the community has struggled to do so. This struggle is in large part due to the lack of a standardised outcomes language and a set of unified approaches.
Source: nih.gov

Machine Learning Applications in the Evaluation and Management of Psoriasis: A Systematic Review - PubMed Journal of psoriasis

Machine learning has significant potential to aid psoriasis evaluation and management. Current topics popular in ML research on psoriasis are the evaluation of medical images, prediction of complications, and treatment discovery. For patients to derive the greatest benefit from ML advancements, it i...
Source: nih.gov

Implementing Medical Chatbots: An Application on Hidradenitis Suppurativa - PubMed Dermatology (Basel, Switzerland).

A medical chatbot has to be customised to the specific subject whilst general principles have to be considered. High-quality information has to be available in just a few clicks. People concerned about HS are looking for a diagnosis online and often have not seen a doctor previously. Guidance toward...
Source: nih.gov

A Novel Convolutional Neural Network for the Diagnosis and Classification of Rosacea: Usability Study - PubMed JMIR medical

The findings of our study showed that by assessing clinical images, the CNN system in our study could identify rosacea with accuracy and precision comparable to that of an experienced dermatologist.
Source: nih.gov

Validation of Claims-Based Algorithms to Identify Patients with Psoriasis - PubMed Pharmacoepidemiology and drug safety.

Claims-based algorithms based on a combination of PsO diagnosis codes and dispensing for PsO-specific treatments had a moderate-to-high PPV. These algorithms can serve as a useful tool to identify patients with PsO in future real-world data pharmacoepidemiologic studies. This article is protected by...
Source: nih.gov

A Convolutional Neural Network architecture for the recognition of cutaneous manifestations of COVID-19

To our best knowledge, this is the first machine learning-based study for automated detection of COVID-19 based on skin images and may provide a useful decision support tool for physicians to optimize contact-free COVID-19 triage, differential diagnosis of skin lesions and patient care. Mathur J, Chouhan...
Source: nih.gov

Psoriasis severity: commonly used clinical thresholds may not adequately convey patient impact - PubMed: Patients with PASI

Psoriasis severity: commonly used clinical thresholds may not adequately convey patient impact - PubMed: Patients with PASI or BSA scores less than 10 can have major quality of life impairment. In general, the objective measures of BSA and PASI alone, when excluding DLQI, may not fully capture the impact...
Source: nih.gov

The Unmet Need for Clinical Guidelines on the Management of Patients with Plaque Psoriasis in Africa and the Middle East

The Unmet Need for Clinical Guidelines on the Management of Patients with Plaque Psoriasis in Africa and the Middle East - PubMed: There is an urgent unmet need for comprehensive clinical guidelines on the management of patients with plaque psoriasis in Africa and the Middle East. Region-specific studies...
Source: nih.gov

Two questions may be enough - screening for depression in patients with psoriasis

Two questions may be enough - screening for depression in patients with psoriasis: a multicenter study - PubMed: In specialized psoriatic outpatient clinics, a BDI-II score ≥ 13 was present in almost every fourth patient despite a low median PASI. The Whooley questions might be easy to use as a screening...
Source: nih.gov

A Systematic Review of Promising Therapeutic Targets in Hidradenitis Suppurativa: A Critical Evaluation of Mechanistic and

A Systematic Review of Promising Therapeutic Targets in Hidradenitis Suppurativa: A Critical Evaluation of Mechanistic and Clinical Relevance - PubMed: This systematic review identifies and critically evaluates the mechanistic and clinical evidence of new promising therapeutic targets in hidradenitis...
Source: nih.gov

A deep learning system for differential diagnosis of skin diseases - PubMed: Skin conditions affect 1.9 billion people.

A deep learning system for differential diagnosis of skin diseases - PubMed: Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases are seen instead by general practitioners with lower diagnostic accuracy. We present a deep learning system (DLS) to provide a differential...
Source: nih.gov