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Mashup Score: 21Development and evaluation of a text analytics algorithm for automated application of national COVID-19 shielding criteria in rheumatology patients - 10 month(s) ago
Introduction At the beginning of the COVID-19 pandemic, the UK’s Scientific Committee issued extreme social distancing measures, termed ‘shielding’, aimed at a subpopulation deemed extremely clinically vulnerable to infection. National guidance for risk stratification was based on patients’ age, comorbidities and immunosuppressive therapies, including biologics that are not captured in primary care records. This process required considerable clinician time to manually review outpatient letters. Our aim was to develop and evaluate an automated shielding algorithm by text-mining outpatient letter diagnoses and medications, reducing the need for future manual review. Methods Rheumatology outpatient letters from a large UK foundation trust were retrieved. Free-text diagnoses were processed using Intelligent Medical Objects software (Concept Tagger), which used interface terminology for each condition mapped to Systematized Medical Nomenclature for Medicine–Clinical Terminology (SNOMED-CT)
Source: ard.bmj.comCategories: General Medicine News, RheumatologyTweet
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Mashup Score: 21Development and evaluation of a text analytics algorithm for automated application of national COVID-19 shielding criteria in rheumatology patients - 10 month(s) ago
Introduction At the beginning of the COVID-19 pandemic, the UK’s Scientific Committee issued extreme social distancing measures, termed ‘shielding’, aimed at a subpopulation deemed extremely clinically vulnerable to infection. National guidance for risk stratification was based on patients’ age, comorbidities and immunosuppressive therapies, including biologics that are not captured in primary care records. This process required considerable clinician time to manually review outpatient letters. Our aim was to develop and evaluate an automated shielding algorithm by text-mining outpatient letter diagnoses and medications, reducing the need for future manual review. Methods Rheumatology outpatient letters from a large UK foundation trust were retrieved. Free-text diagnoses were processed using Intelligent Medical Objects software (Concept Tagger), which used interface terminology for each condition mapped to Systematized Medical Nomenclature for Medicine–Clinical Terminology (SNOMED-CT)
Source: ard.bmj.comCategories: General Medicine News, RheumatologyTweet-
📣New paper today in @ARD_BMJ Development of a text analytics algorithm for automated application of national #COVID shielding criteria Example of how an #NLP based- algorithm can complement practice & could improve transparency of shielding decisions https://t.co/7oayofVjUw https://t.co/mnegorpP1d
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Mashup Score: 15
PhD Project – (BRC) Development of digital tool measuring exposure and impact of medications in patients with musculoskeletal conditions at The University of Manchester, listed on FindAPhD.com
Source: www.FindAPhD.comCategories: General Medicine News, RheumatologyTweet-
Interested in co-designing an innovative digital tool that measures medication use directly from patients & would support a future digital intervention? Check out our @ManchesterBRC funded Phd studentship with @_PaulineWhelan @ProfMcbeth https://t.co/JSpWN6ibn1 #mhealth #epi
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Mashup Score: 2Trends for opioid prescribing and the impact of the COVID-19 pandemic in patients with rheumatic and musculoskeletal diseases between 2006-2021 - 2 year(s) ago
AbstractObjective. To investigate opioid prescribing trends and assess the impact of the pandemic on opioid prescribing in RMDs.Methods. Adult patients with rhe
Source: OUP AcademicCategories: Latest Headlines, RheumatologyTweet-
New paper out: Evaluating opioid prescribing trends and the impact of COVID-19 in >1.3 M people with 6 rheumatic & MSK conditions (RA, AS, PsA, SLE, OA and fibromyalgia) with @joyce_huang_yt @David_A_Jenkins @belayBY @AuriolesJose @NielsPeek @WGDixon https://t.co/1qEfgyAJnb
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Mashup Score: 16
University is latest body to distance itself from sponsorship by owners of Purdue Pharma, makers of OxyContin
Source: the GuardianCategories: Latest Headlines, RheumatologyTweet-
RT @guardian: King’s College London cuts ties with opioids-linked Sackler family https://t.co/KgB6V2pf2D
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Mashup Score: 0High frequency of long-term opioid use among patients with rheumatic and musculoskeletal diseases initiating opioids for the first time - 2 year(s) ago
People living with rheumatic and musculoskeletal diseases (RMDs) are frequently prescribed opioids to manage pain and represent a large subpopulation of patients at increased risk of long-term opioid use.1 A proportion of patients with RMDs newly prescribed an opioid will transition to long-term opioid use, which can be associated with opioid dependence, abuse and harm.2 Most studies define…
Source: Annals of the Rheumatic DiseasesCategories: Latest Headlines, RheumatologyTweet-
Our latest study in @ARD_BMJ shows a high frequency of long-term opioid use among patients with rheumatological conditions who start opioids for the 1st time -Up to 1 in 3 in fibromyalgia & RA With @joyce_huang_yt @WGDixon @NielsPeek @David_A_Jenkins https://t.co/Cx8KXV896W
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Mashup Score: 0Patients with rheumatic and musculoskeletal conditions vulnerable to long term opioid use - 2 year(s) ago
Patients with rheumatic and musculoskeletal conditions are vulnerable to long term opioid use, with up to 1 in 3 of those with rheumatoid arthritis or fibromyalgia potentially at risk, suggest researchers at The University of ManchesterThe findings, published in the Annals of the Rheumatic Diseases show people with rheumatic and musculoskeletal …
Categories: Latest Headlines, RheumatologyTweet-
@OfficialUoM @FBMH_UoM Press release https://t.co/TxyNd3iVpW
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Mashup Score: 0
PhD Project – (MRC DTP CASE) Prediction of opioid-related adverse events using multi-outcome prediction modelling & machine learning at The University of Manchester, listed on FindAPhD.com
Source: www.FindAPhD.comCategories: Latest Headlines, RheumatologyTweet-
📣Exciting opportunity for a PhD programme that combines personalised medicine, #epidemiology, clinical prediction models, #machinelearning + industry experience! Check out our MRC Case PhD studentship with @glen_martin1 @David_A_Jenkins & @Spectra2014 https://t.co/TCLrmBr8xz
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Mashup Score: 2Research Associate in Epidemiology : Oxford Road - 2 year(s) ago
This is an exciting opportunity to work on an National Institute of Health Research (NIHR) funded programme of work focussed supporting an Advanced Fellowship on evaluating the safety of medications and personalised risk prediction. We will use a range of study designs and statistical models to evaluate safety outcomes of public health interest, focussed on patients receiving prescription…
Source: www.jobs.manchester.ac.ukCategories: Latest Headlines, RheumatologyTweet-
📢📢 We are hiring! Come join @CfE_UoM & me on an exciting @NIHRresearch funded programme using digital data to improve the safety of opioids & personalise care. Please feel free to get in touch if interested and like to learn more https://t.co/jPxXbv1MDA #Epijobs #biostats
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Mashup Score: 0
PhD Project – (BRC) Prediction of opioid-related adverse outcomes in MSK conditions & after orthopaedic surgery using multi-outcome prediction modelling & machine learning (Non Clinical) at The University of Manchester, listed on FindAPhD.com
Source: www.FindAPhD.comCategories: Latest Headlines, RheumatologyTweet-
Interested in applying your statistical skills to address questions of public health importance + personalise treatment? Come join @glen_martin1 @David_A_Jenkins & me on an exciting @ManchesterBRC funded PhD project https://t.co/0X55AgbK56 #epitwitter #MachineLearning #RxEpi
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📣New paper today in @ARD_BMJ Development of a text analytics algorithm for automated application of national #COVID shielding criteria Example of how an #NLP based- algorithm can complement practice & could improve transparency of shielding decisions https://t.co/7oayofVjUw https://t.co/mnegorpP1d