Konstantin Georgiev

ORCID: 0009-0003-4736-4039
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About
Contact & Profiles
Research Areas
  • Frailty in Older Adults
  • Chronic Disease Management Strategies
  • Long-Term Effects of COVID-19
  • Health Systems, Economic Evaluations, Quality of Life
  • Intensive Care Unit Cognitive Disorders
  • Machine Learning in Healthcare
  • COVID-19 and Mental Health
  • Dementia and Cognitive Impairment Research

University of Edinburgh
2023-2025

The Queen's Medical Research Institute
2024

<title>Abstract</title> Background As the prevalence of multimorbidity grows, provision effective healthcare is more challenging. Both and complexity in delivery may be associated with worse outcomes. Methods We studied consecutive, unique emergency non-surgical hospitalisations for patients over 50 years old to three hospitals Scotland, UK between 2016 2024 using linked primary care hospital records define (2 + long-term conditions), timestamped electronic health record (EHR) contacts...

10.21203/rs.3.rs-5462107/v1 preprint EN cc-by Research Square (Research Square) 2025-01-16

As the prevalence of multimorbidity grows, provision effective healthcare is more challenging. Both and complexity in delivery may be associated with worse outcomes. We studied consecutive, unique emergency non-surgical hospitalisations for patients over 50 years old to three hospitals Scotland, UK between 2016 2024 using linked primary care hospital records define (2 + long-term conditions), timestamped electronic health record (EHR) contacts nursing rehabilitation providers describe...

10.1038/s41598-025-92940-7 article EN cc-by-nc-nd Scientific Reports 2025-03-12

Many hospitalised patients require rehabilitation during recovery from acute illness. We use routine data Electronic Health Records (EHR) to report the quantity and intensity of required achieve hospital discharge, comparing with without COVID-19.

10.1186/s12913-024-11665-x article EN cc-by BMC Health Services Research 2024-10-17

Abstract Predicting risk of future dementia is essential for primary prevention strategies, particularly in the era novel immunotherapies. However, few studies have developed population-level prediction models using existing routine healthcare data. In this longitudinal retrospective cohort study, we predicted incident and secondary care health records at 5, 10 13 years 144 113 Scottish older adults who were dementia-free prior to 1st April 2009. Gradient-boosting (XGBoost) trained on two...

10.1093/braincomms/fcae469 article EN cc-by Brain Communications 2024-12-24

Abstract Background Many hospitalised patients require rehabilitation during recovery from acute illness. We use routine data electronic health records (EHR) to report the quantity and intensity of compared this in with without COVID-19. Methods performed a retrospective cohort study consecutive adults whom COVID-19 testing was undertaken between March 2020 August 2021 across three hospitals Scotland. defined contacts (physiotherapy, occupational therapy, dietetics speech language therapy)...

10.1101/2023.05.25.23290461 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2023-05-30
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