A Data Architecture Framework to Enhance Health Data Ecosystems and Workforce Planning

A Data Architecture Framework to Enhance Health Data Ecosystems and Workforce Planning | 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 Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed.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. 28 June 2025 V1 Latest version Share on A Data Architecture Framework to Enhance Health Data Ecosystems and Workforce Planning Authors : Dax Bourcier 0000-0001-9400-6507 [email protected] , Sarah Simkin , and Ivy Bourgeault Authors Info & Affiliations https://doi.org/10.22541/au.175110492.28363992/v1 239 views 127 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract A framework that articulates the connections, interdependencies and flow of data can help to promote more robust data ecosystems. And yet, the use of data architecture frameworks in healthcare has lagged compared to other industries. In this study, we describe the development of a data architecture framework designed to enhance health data ecosystems, illustrated with an explicit focus on health workforce planning. To inform the development of the framework, we first conducted an environmental scan to identify leading practices, principles, standards, guidelines, existing frameworks and current challenges with respect to health workforce data and planning. Next, through an iterative development process, we produced a comprehensive description and visual representation of a data architecture framework focused on enhancing health data ecosystems and workforce planning. We then assessed the applicability of the framework to the Canadian context, implementation considerations and possible remediations, and the added value of the framework to health systems. The resulting data architecture framework features four fundamental components: data ingestion, integration, storage, and fit-for-purpose use. The framework directly addresses key data challenges, including lack of comprehensiveness, granularity, standardization, interoperability, timeliness, usability, and accessibility. The assessment of the applicability of the framework to the Canadian context revealed that added value stems primarily from its promotion of comprehensiveness, interoperability, compatibility with artificial intelligence and accessibility of data to decision-makers. This data architecture framework is a representation of the foundational health data ecosystem capable of supporting decision-making to optimize the health workforce and to improve and sustain health care delivery. Supplementary Material File (data architecture framework_final (ijhpm submission).docx) Download 1.75 MB Information & Authors Information Version history V1 Version 1 28 June 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords artificial intelligence data architecture health data ecosystem health workforce planning interoperability Authors Affiliations Dax Bourcier 0000-0001-9400-6507 [email protected] Dalhousie University Faculty of Medicine View all articles by this author Sarah Simkin University of Ottawa Faculty of Medicine View all articles by this author Ivy Bourgeault University of Ottawa View all articles by this author Metrics & Citations Metrics Article Usage 239 views 127 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Dax Bourcier, Sarah Simkin, Ivy Bourgeault. A Data Architecture Framework to Enhance Health Data Ecosystems and Workforce Planning. Authorea . 28 June 2025. DOI: https://doi.org/10.22541/au.175110492.28363992/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.175110492.28363992/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:'9fef1f995e8a09d6',t:'MTc3OTMxOTc2NQ=='};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())}}}})();