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Mashup Score: 12
Surgical site infections (SSI) cause substantial morbidity and pose a burden to acute healthcare services after surgery. We aimed to investigate whether a smartphone-delivered wound assessment tool can expedite diagnosis and treatment of SSI after emergency abdominal surgery. This single-blinded randomised control trial (NCT02704897) enroled adult emergency abdominal surgery patients in two…
Source: npj Digital MedicineCategories: General Medicine Journals and Societies, Latest HeadlinesTweet
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Mashup Score: 24Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review - npj Digital Medicine - 3 year(s) ago
Complications following surgery are common and frequently occur the following discharge. Mobile and wearable digital health interventions (DHI) provide an opportunity to monitor and support patients during their postoperative recovery. Lack of high-quality evidence is often cited as a barrier to DHI implementation. This review captures and appraises the current use, evidence base and reporting…
Source: npj Digital MedicineCategories: Healthcare Professionals, Latest HeadlinesTweet-
RT @alvie_barr: Interesting Review! Mobile Devices & #Wearables for Measuring Patient Outcomes After Surgery Link: https://t.co/8EjujhncPK…
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Mashup Score: 5Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review - npj Digital Medicine - 3 year(s) ago
Complications following surgery are common and frequently occur the following discharge. Mobile and wearable digital health interventions (DHI) provide an opportunity to monitor and support patients during their postoperative recovery. Lack of high-quality evidence is often cited as a barrier to DHI implementation. This review captures and appraises the current use, evidence base and reporting…
Source: npj Digital MedicineCategories: Future of Medicine, Latest HeadlinesTweet-
RT @alvie_barr: Interesting Review! Mobile Devices & #Wearables for Measuring Patient Outcomes After Surgery Link: https://t.co/8EjujhncPK…
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Mashup Score: 1Capturing sleep–wake cycles by using day-to-day smartphone touchscreen interactions - npj Digital Medicine - 3 year(s) ago
Body movements drop with sleep, and this behavioural signature is widely exploited to infer sleep duration. However, a reduction in body movements may also occur in periods of intense cognitive activity, and the ubiquitous use of smartphones may capture these wakeful periods otherwise hidden in the standard measures of sleep. Here, we continuously captured the gross body movements using standard…
Source: npj Digital MedicineCategories: Latest Headlines, Oncologists1Tweet-
Learning out about #tappigraphy and other sibling-made words #ArkoGhosh @UniLeidenNews https://t.co/EQE0cDq6uM https://t.co/wE2aA2gZmM
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Mashup Score: 1
The COVID-19 pandemic has been a catalyst for the implementation of decentralized clinical trials (DCTs) enabled by digital health technologies (DHTs) in the field while curtailing in-person interactions and putting significant demands on health care resources. DHTs offer improvements in real-time data acquisition remotely while maintaining privacy and security. Here, we describe the implications…
Source: npj Digital MedicineCategories: Healthcare Professionals, Latest HeadlinesTweet-
RT @gavinho: Randomized control trials: an analog tool in a digital world https://t.co/LGglb8ysvD
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Mashup Score: 11Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning - npj Digital Medicine - 3 year(s) ago
Deep vein thrombosis (DVT) is a blood clot most commonly found in the leg, which can lead to fatal pulmonary embolism (PE). Compression ultrasound of the legs is the diagnostic gold standard, leading to a definitive diagnosis. However, many patients with possible symptoms are not found to have a DVT, resulting in long referral waiting times for patients and a large clinical burden for…
Source: npj Digital MedicineCategories: General Medicine Journals and Societies, Latest HeadlinesTweet-
A method outlined in @Nature_NPJ Digital Medicine provides guidance for free-hand ultrasound and aids non-specialists in detecting deep vein thrombosis. https://t.co/HmtdKU46tG https://t.co/UvN5WXvyWo
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Mashup Score: 4Artificial intelligence sepsis prediction algorithm learns to say “I don’t know” - npj Digital Medicine - 3 year(s) ago
Sepsis is a leading cause of morbidity and mortality worldwide. Early identification of sepsis is important as it allows timely administration of potentially life-saving resuscitation and antimicrobial therapy. We present COMPOSER (COnformal Multidimensional Prediction Of SEpsis Risk), a deep learning model for the early prediction of sepsis, specifically designed to reduce false alarms by…
Source: npj Digital MedicineCategories: Hem/Oncs, Latest HeadlinesTweet-
Problems with your #EHR making too many false calls of #sepsis? Check out this amazing work by @spshash @ShamimNemati @AtulMalhotra13 on a novel approach to decrease false alerts. @ucsdpccm @kdpsinghlab https://t.co/Gt2gIvni1q
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Mashup Score: 1A short guide for medical professionals in the era of artificial intelligence - npj Digital Medicine - 3 year(s) ago
Artificial intelligence (A.I.) is expected to significantly influence the practice of medicine and the delivery of healthcare in the near future. While there are only a handful of practical examples for its medical use with enough evidence, hype and attention around the topic are significant. There are so many papers, conference talks, misleading news headlines and study interpretations that a…
Source: npj Digital MedicineCategories: Healthcare Professionals, Latest HeadlinesTweet-
By #automating administrative tasks and aiding in decision-making, smart #algorithms free up physicians’ valuable time, that can be dedicated where the human touch is essential. Separate the hype from the facts about A.I. in healthcare with our study! 👉https://t.co/0X6sjwOLVR https://t.co/FECeD6uA92
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Mashup Score: 5
The machine learning community has become alert to the ways that predictive algorithms can inadvertently introduce unfairness in decision-making. Herein, we discuss how concepts of algorithmic fairness might apply in healthcare, where predictive algorithms are being increasingly used to support decision-making. Central to our discussion is the distinction between algorithmic fairness and…
Source: npj Digital MedicineCategories: Future of Medicine, Latest HeadlinesTweet-
RT @kdpsinghlab: Four recent interesting reads on algorithmic fairness and its implications: 1. https://t.co/mZwUdHEZ1r 2. https://t.co/b3…
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Mashup Score: 0
In this study, we explored the feasibility of using real-world data (RWD) from a large clinical research network to simulate real-world clinical trials of Alzheimer’s disease (AD). The target trial (i.e., NCT00478205) is a Phase III double-blind, parallel-group trial that compared the 23 mg donepezil sustained release with the 10 mg donepezil immediate release formulation in patients with…
Source: npj Digital MedicineCategories: Healthcare Professionals, Latest HeadlinesTweet-
Thoughtful explanation of the value that #simulations bring to evidence generated by randomized controlled #clinical #trials by @LeiaWedlund referencing this original article #Alzheimer’s https://t.co/AZI2WfCm4H https://t.co/TJ0aFQYlUL
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Smartphone pictures of post-surgical wounds taken by patients and then assessed by clinicians can help in the early identification of infections, according to a study published in @Nature_NPJ Digital Medicine. https://t.co/HrZY5XlYt6 https://t.co/euECF9wTvZ