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Health economic benefits through the use of diagnostic support systems and expert knowledge
BACKGROUND: Rare diseases are difficult to diagnose. Due to their rarity, heterogeneity, and variability, rare diseases often result not only in extensive diagnostic tests and imaging studies, but also in unnecessary repetitions of examinations, which places a greater overall burden on the healthcar...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431907/ https://www.ncbi.nlm.nih.gov/pubmed/34503507 http://dx.doi.org/10.1186/s12913-021-06926-y |
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author | Willmen, Tina Völkel, Lukas Ronicke, Simon Hirsch, Martin C. Kaufeld, Jessica Rychlik, Reinhard P. Wagner, Annette D. |
author_facet | Willmen, Tina Völkel, Lukas Ronicke, Simon Hirsch, Martin C. Kaufeld, Jessica Rychlik, Reinhard P. Wagner, Annette D. |
author_sort | Willmen, Tina |
collection | PubMed |
description | BACKGROUND: Rare diseases are difficult to diagnose. Due to their rarity, heterogeneity, and variability, rare diseases often result not only in extensive diagnostic tests and imaging studies, but also in unnecessary repetitions of examinations, which places a greater overall burden on the healthcare system. Diagnostic decision support systems (DDSS) optimized by rare disease experts and used early by primary care physicians and specialists are able to significantly shorten diagnostic processes. The objective of this study was to evaluate reductions in diagnostic costs incurred in rare disease cases brought about by rapid referral to an expert and diagnostic decision support systems. METHODS: Retrospectively, diagnostic costs from disease onset to diagnosis were analyzed in 78 patient cases from the outpatient clinic for rare inflammatory systemic diseases at Hannover Medical School. From the onset of the first symptoms, all diagnostic measures related to the disease were taken from the patient files and documented for each day. The basis for the health economic calculations was the Einheitlicher Bewertungsmaßstab (EBM) used in Germany for statutory health insurance, which assigns a fixed flat rate to the various medical services. For 76 cases we also calculated the cost savings that would have been achieved by the diagnosis support system Ada DX applied by an expert. RESULTS: The expert was able to achieve significant savings for patients with long courses of disease. On average, the expert needed only 27 % of the total costs incurred in the individual treatment odysseys to make the correct diagnosis. The expert also needed significantly less time and avoided unnecessary examination repetitions. If a DDSS had been applied early in the 76 cases studied, only 51–68 % of the total costs would have incurred and the diagnosis would have been made earlier. Earlier diagnosis would have significantly reduced costs. CONCLUSION: The study showed that significant savings in the diagnostic process of rare diseases can be achieved through rapid referral to an expert and the use of DDSS. Faster diagnosis not only achieves savings, but also enables the right therapy and thus an increase in the quality of life for patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06926-y. |
format | Online Article Text |
id | pubmed-8431907 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84319072021-09-10 Health economic benefits through the use of diagnostic support systems and expert knowledge Willmen, Tina Völkel, Lukas Ronicke, Simon Hirsch, Martin C. Kaufeld, Jessica Rychlik, Reinhard P. Wagner, Annette D. BMC Health Serv Res Research BACKGROUND: Rare diseases are difficult to diagnose. Due to their rarity, heterogeneity, and variability, rare diseases often result not only in extensive diagnostic tests and imaging studies, but also in unnecessary repetitions of examinations, which places a greater overall burden on the healthcare system. Diagnostic decision support systems (DDSS) optimized by rare disease experts and used early by primary care physicians and specialists are able to significantly shorten diagnostic processes. The objective of this study was to evaluate reductions in diagnostic costs incurred in rare disease cases brought about by rapid referral to an expert and diagnostic decision support systems. METHODS: Retrospectively, diagnostic costs from disease onset to diagnosis were analyzed in 78 patient cases from the outpatient clinic for rare inflammatory systemic diseases at Hannover Medical School. From the onset of the first symptoms, all diagnostic measures related to the disease were taken from the patient files and documented for each day. The basis for the health economic calculations was the Einheitlicher Bewertungsmaßstab (EBM) used in Germany for statutory health insurance, which assigns a fixed flat rate to the various medical services. For 76 cases we also calculated the cost savings that would have been achieved by the diagnosis support system Ada DX applied by an expert. RESULTS: The expert was able to achieve significant savings for patients with long courses of disease. On average, the expert needed only 27 % of the total costs incurred in the individual treatment odysseys to make the correct diagnosis. The expert also needed significantly less time and avoided unnecessary examination repetitions. If a DDSS had been applied early in the 76 cases studied, only 51–68 % of the total costs would have incurred and the diagnosis would have been made earlier. Earlier diagnosis would have significantly reduced costs. CONCLUSION: The study showed that significant savings in the diagnostic process of rare diseases can be achieved through rapid referral to an expert and the use of DDSS. Faster diagnosis not only achieves savings, but also enables the right therapy and thus an increase in the quality of life for patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06926-y. BioMed Central 2021-09-09 /pmc/articles/PMC8431907/ /pubmed/34503507 http://dx.doi.org/10.1186/s12913-021-06926-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Willmen, Tina Völkel, Lukas Ronicke, Simon Hirsch, Martin C. Kaufeld, Jessica Rychlik, Reinhard P. Wagner, Annette D. Health economic benefits through the use of diagnostic support systems and expert knowledge |
title | Health economic benefits through the use of diagnostic support systems and expert knowledge |
title_full | Health economic benefits through the use of diagnostic support systems and expert knowledge |
title_fullStr | Health economic benefits through the use of diagnostic support systems and expert knowledge |
title_full_unstemmed | Health economic benefits through the use of diagnostic support systems and expert knowledge |
title_short | Health economic benefits through the use of diagnostic support systems and expert knowledge |
title_sort | health economic benefits through the use of diagnostic support systems and expert knowledge |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431907/ https://www.ncbi.nlm.nih.gov/pubmed/34503507 http://dx.doi.org/10.1186/s12913-021-06926-y |
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