{"id":20320,"date":"2023-07-12T13:43:26","date_gmt":"2023-07-12T13:43:26","guid":{"rendered":"https:\/\/www.varshabi.com\/HCIM2\/?p=20320"},"modified":"2023-09-29T19:06:52","modified_gmt":"2023-09-29T19:06:52","slug":"case-study-streamlining-provider-data-management-with-the-new-symkey-for-ez-cap-provider-module","status":"publish","type":"post","link":"https:\/\/www.varshabi.com\/HCIM2\/case-study-streamlining-provider-data-management-with-the-new-symkey-for-ez-cap-provider-module\/","title":{"rendered":"Case Study: Streamlining Provider Data Management with the New SymKey for EZ-CAP Provider Module"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\t\t\t\tMaintaining Provider Data accuracy is one of the most common challenges for payers in the healthcare industry, and good reason.\n\nIt can be overwhelming and, at times, very challenging to keep up with constant weekly and monthly changes to ensure that data is updated promptly, especially when it’s a large provider data update.\n\nBut as difficult as it may be, it’s essential that a payer updates provider records as quickly and efficiently as possible, and an inability to do so is a major concern.\n\nTo address this need, HCIM has taken our trusted IntelliRPA\u00ae<\/sup>\u00a0automation beyond the claims module and now SymKey robots can be tasked with these critical provider record updates. We are excited to share the production data from our SymKey for EZ-CAP Provider Module Early Adopter. This data demonstrates how this powerful tool impacted the data management process for one large health plan.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Production Data Analysis<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Below is a graph outlining the Request Type and Volume for the following requests:<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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January - March 2023 Data<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Row Labels<\/strong><\/td>Sum of Total Records<\/strong><\/td><\/tr>
adding email address<\/td>9<\/td><\/tr>
adding new location<\/td>2360<\/td><\/tr>
adding phone and fax numbers<\/td>2634<\/td><\/tr>
updating phone and fax numbers<\/td>274<\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Grand Total<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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As you can see, the numbers are impressive.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The Downside of Manual Data Process Management<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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For many healthcare organizations, provider updates are a tedious, manual process that can take weeks to complete or even longer, depending on how many Health plans and Company IDs need to be maintained.<\/p>

As an example of how time-consuming this process can be when done manually, let’s take the first entry under Provider Action Request, “Adding phone\/fax numbers.”\u00a0<\/p>

Even a request as simple as this will take a provider specialist two minutes to update a single provider record. If the request includes 1362 provider records, as requests often do, then this task would require the specialist to spend a total of 2,724 minutes \u2014 the equivalent of two weeks’ work \u2014 of tedious and boring work that can be prone to human error.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\tIn contrast, this task was completed in<\/span>\n\t\t\t\t\n\t\t\t\t\t4 hours and 15 minutes<\/span>\n\t\t\t\t<\/span>\n\t\t\t\t\tminutes using SymKey.<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Below is a SymKey Robot Productivity report outlining the results for different batches that were processed.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Total Records<\/strong><\/td>Duration of Time<\/strong><\/td>Provider Action Request<\/strong><\/td><\/tr>
1362<\/td>4 hours 15 minutes<\/td>adding phone\/fax numbers to an existing provider record<\/td><\/tr>
1272<\/td>3 hours 9 minutes<\/td>adding phone\/fax numbers to an existing provider record<\/td><\/tr>
490<\/td>1 hour 50 minutes<\/td>adding new location<\/td><\/tr>
261<\/td>56 minutes<\/td>adding new location<\/td><\/tr>
235<\/td>39 minutes<\/td>adding new location<\/td><\/tr>
216<\/td>36 minutes<\/td>adding new location<\/td><\/tr>
162<\/td>54 minutes<\/td>adding new location<\/td><\/tr>
151<\/td>45 minutes<\/td>adding new location<\/td><\/tr>
108<\/td>39 minutes<\/td>adding new location<\/td><\/tr>
108<\/td>39 minutes<\/td>adding new location<\/td><\/tr>
107<\/td>33 minutes<\/td>adding new location<\/td><\/tr>
103<\/td>24 minutes<\/td>adding new location to an existing provider record<\/td><\/tr>
100<\/td>19 minutes<\/td>adding new location to an existing provider record<\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The Early Adopter client used the SymKey Robot to “Add” and “Update” new values to an existing provider record, making a time-consuming process easier and much more efficient.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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How can my organization streamline our provider data processes?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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SymKey automation has helped reduce stress and give our clients peace of mind. HCIM has been helping optimize our clients’ operations since 2000. With the new addition of our SymKey for EZ-CAP Prover Module, we look forward to helping even more payer organizations improve their data management processes.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Contact us<\/a> to learn more about how we can help you turn complexity into simplicity and drive better results for your organization.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Maintaining Provider Data accuracy is one of the most common challenges for payers in the healthcare industry, and good reason. It can be overwhelming and, at times, very challenging to keep up with constant weekly and monthly changes to ensure that data is updated promptly, especially when it’s a large provider data update. But as […]<\/p>\n","protected":false},"author":1,"featured_media":20483,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[87,1,95],"tags":[38,79,84,57,30],"class_list":["post-20320","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-study","category-healthcare-information-management","category-provider-module","tag-blog","tag-cms","tag-ez-cap","tag-hcim","tag-symkey"],"_links":{"self":[{"href":"https:\/\/www.varshabi.com\/HCIM2\/wp-json\/wp\/v2\/posts\/20320","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.varshabi.com\/HCIM2\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.varshabi.com\/HCIM2\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.varshabi.com\/HCIM2\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.varshabi.com\/HCIM2\/wp-json\/wp\/v2\/comments?post=20320"}],"version-history":[{"count":10,"href":"https:\/\/www.varshabi.com\/HCIM2\/wp-json\/wp\/v2\/posts\/20320\/revisions"}],"predecessor-version":[{"id":20611,"href":"https:\/\/www.varshabi.com\/HCIM2\/wp-json\/wp\/v2\/posts\/20320\/revisions\/20611"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.varshabi.com\/HCIM2\/wp-json\/wp\/v2\/media\/20483"}],"wp:attachment":[{"href":"https:\/\/www.varshabi.com\/HCIM2\/wp-json\/wp\/v2\/media?parent=20320"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.varshabi.com\/HCIM2\/wp-json\/wp\/v2\/categories?post=20320"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.varshabi.com\/HCIM2\/wp-json\/wp\/v2\/tags?post=20320"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}