Abstract
Recognizing the challenges in quality control and risk management for remote tumor ablation amid rapid digitalization, this paper addresses the limitations of existing performance evaluation systems, which rely excessively on subjective expertise or data-driven metrics alone. A health-sensitive, six-dimensional framework rooted in Balanced Scorecard (BSC) theory is proposed, integrating technical empowerment, clinical efficacy, cost-effectiveness, patient safety, information security compliance, and regulatory alignment. Through a systematic literature review and Delphi consultation with 13 multidisciplinary experts, 39 performance indicators were identified and weighted using a novel Superiority Degree-Entropy Weight (SD-EW) method, combining expert judgment with entropy-based calculations. Technical empowerment (0.194) emerged as top priorities, reflecting systemic fragility dimensions critical to performance. This integrated approach provides a replicable tool for healthcare institutions to holistically assess service efficiency and risk management while offering policymakers evidence-based insights to refine telemedicine regulations in complex, fragile healthcare systems.
Full text
6,554 characters
· extracted from
preprint-html
· click to expand
6-D Evaluation Framework and SD-EW Method for Remote Tumor Ablation Performance Management: A Methodological Study | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 7 April 2025 V1 Latest version Share on 6-D Evaluation Framework and SD-EW Method for Remote Tumor Ablation Performance Management: A Methodological Study Authors : Yang Wuwei , Zhou Fanyu , Luo Fuliang , and Liu Zengliang [email protected] Authors Info & Affiliations https://doi.org/10.22541/au.174406874.47998461/v1 177 views 99 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Recognizing the challenges in quality control and risk management for remote tumor ablation amid rapid digitalization, this paper addresses the limitations of existing performance evaluation systems, which rely excessively on subjective expertise or data-driven metrics alone. A health-sensitive, six-dimensional framework rooted in Balanced Scorecard (BSC) theory is proposed, integrating technical empowerment, clinical efficacy, cost-effectiveness, patient safety, information security compliance, and regulatory alignment. Through a systematic literature review and Delphi consultation with 13 multidisciplinary experts, 39 performance indicators were identified and weighted using a novel Superiority Degree-Entropy Weight (SD-EW) method, combining expert judgment with entropy-based calculations. Technical empowerment (0.194) emerged as top priorities, reflecting systemic fragility dimensions critical to performance. This integrated approach provides a replicable tool for healthcare institutions to holistically assess service efficiency and risk management while offering policymakers evidence-based insights to refine telemedicine regulations in complex, fragile healthcare systems. Supplementary Material File (main.pdf) Download 2.28 MB Information & Authors Information Version history V1 Version 1 07 April 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords performance management remote tumor ablation sd-ew method superiority degree-entropy weight Authors Affiliations Yang Wuwei Beijing Institute of Technology School of Management and Economics View all articles by this author Zhou Fanyu Hygea Medical Technology Co Ltd View all articles by this author Luo Fuliang Hygea Medical Technology Co Ltd View all articles by this author Liu Zengliang [email protected] Beijing Institute of Technology School of Management and Economics View all articles by this author Metrics & Citations Metrics Article Usage 177 views 99 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Yang Wuwei, Zhou Fanyu, Luo Fuliang, et al. 6-D Evaluation Framework and SD-EW Method for Remote Tumor Ablation Performance Management: A Methodological Study. Authorea . 07 April 2025. DOI: https://doi.org/10.22541/au.174406874.47998461/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.174406874.47998461/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'a00616b19bfd41e2',t:'MTc3OTU2MDU3Mw=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.