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Predicting Changes in Quality of Life for Patients in Vocational Rehabilitation

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Adaptive systems will become increasingly important for health care in coming years as costs and workload grow. The need for efficient rehabilitation will expand which will be fulfilled by information technologies. This paper presents a novel implementation and application of a dynamic prediction software in vocational rehabilitation. The software is made adaptable with a Genetic Improvement of software methodology and utilised to predict fluctuations in patient's perceived quality of life. Results of accuracy, recall and precision were better than 90% for the classification of the shifts and the mean absolute error in predictions of the quantity of the shifts was low. The findings of the present study support that it is possible to predict fluctuations in quality of life on average based on the status six months prior. Professionals could therefore intervene accordingly and increase the possibility of successful rehabilitation. The significant long term effect on health care from applying the prediction tool might be reduced cost and overall improved quality of life.
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... Þessi grein byggist á samantekt á tveimur frumrannsóknum varðandi Völvuna sem hafa verið birtar í erlendum ritrýndum ráðstefnuritum. 5,7 Til þess að fyrirbyggja varanlega örorku er nauðsynlegt að veita einstaklingum rétta aðstoð strax frá upphafi. Mikilvaegt er að koma í veg fyrir að sérfraeðingum yfirsjáist undirliggjandi vandamál (diagnostic overshadowing) en það getur reynst snúið ef einstaklingar glíma baeði við geðraen og líkamleg einkenni. ...
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Demand for Vocational Rehabilitation in Iceland has been steadily rising in recent years where the presence of young patients has increased proportionally the most. It is essential that public spending is efficient without compromising the treatment quality. It is worth exploring if a solution for increasing the efficiency in this healthcare section is to use Artificial Intelligence (AI). An innovative project on developing, testing, and implementing specialised AI software in its services is being performed in Janus Rehabilitation. The software, named Völvan in Icelandic, can identify latent areas of possible interest in patient's circumstances which might affect the outcome of their treatment, and assist specialists in providing timely and appropriate interventions. The accuracy, precision, and recall of its predictions have been verified in two recent publications. Völvan seems to be a promising tool for individualised rehabilitation, where patients are dealing with difficult and complex problems. Janus Rehabilitation is in the process of launching Völvan as an unbiased member of the interdisciplinary teams of specialists. The aim of this report is to introduce Völvan and the associated research.
... Þessi grein byggist á samantekt á tveimur frumrannsóknum varðandi Völvuna sem hafa verið birtar í erlendum ritrýndum ráðstefnuritum. 5,7 Til þess að fyrirbyggja varanlega örorku er nauðsynlegt að veita einstaklingum rétta aðstoð strax frá upphafi. Mikilvaegt er að koma í veg fyrir að sérfraeðingum yfirsjáist undirliggjandi vandamál (diagnostic overshadowing) en það getur reynst snúið ef einstaklingar glíma baeði við geðraen og líkamleg einkenni. ...
... Rannsakað var hvort hún gaeti spáð fyrir um naestu útkomu íslenska maelitaekisins "Heilsu tengdra lífsgaeða" 36 mánuðum áður en maelingar voru teknar. 7 Heilsutengd lífsgaeði hafa verið mikið notuð af sérfraeð ingum í íslenska heilbrigðiskerfinu. Maelitaekið hefur reynst vel þar sem það gefur til kynna stöðu skjólstaeðingsins þá stundina sem hann svarar. ...
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Full-text available
Demand for Vocational Rehabilitation in Iceland has been steadily rising in recent years where the presence of young patients has increased proportionally the most. It is essential that public spending is efficient without compromising the treatment quality. It is worth exploring if a solution for increasing the efficiency in this healthcare section is to use Artificial Intelligence (AI). An innovative project on developing, testing, and implementing specialised AI software in its services is being performed in Janus Rehabilitation. The software, named Völvan in Icelandic, can identify latent areas of possible interest in patient's circumstances which might affect the outcome of their treatment, and assist specialists in providing timely and appropriate interventions. The accuracy, precision, and recall of its predictions have been verified in two recent publications. Völvan seems to be a promising tool for individualised rehabilitation, where patients are dealing with difficult and complex problems. Janus Rehabilitation is in the process of launching Völvan as an unbiased member of the interdisciplinary teams of specialists. The aim of this report is to introduce Völvan and the associated research.
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