Custom Software Application for Healthcare Patient Referrals
Solution Description:TAP Patient Referrals...Hospital/Physician to Skilled Nursing Facility Patient Referral/Marketing Solution
Watch TAP Innovation Solutions in action!
A Multi-state healthcare organization needed process improvement and automation to capture patient referrals and monitor marketing activity across facilities. With each healthcare location managing patient referrals on spreadsheets or manual processes, a global view of patient referral activity was impossible to assess when growing the business. The core EMR for this enterprise had a module that partially performed the desired function but was determined to be too costly to support the total number of buildings, plus the implementation and training timeline was lengthy.
Number of Locations: 15
Number of Employees: 300
Industries: Healthcare, Senior Care, Home Care, Mergers & Acquisitions (M&A)
The solution simplified data access into patient demographics, clinical data and insurance information across 100+ locations. The need for separate spreadsheets to track patient referral information was eliminated. Answers to questions like, where should this patient seek follow up care specific to his or her care needs, were immediately answered with the ability to choose the best place for executing the patient’s treatment plan. Clinical and administrative teams can quickly see the data needed to make informed decisions at the time and place of the patient referral. This tool also proved valuable in monitoring patient movement within their care plan. For example, clinical and administrative teams can access patient statistics real-time from areas like intake and clinical evaluations. Additionally, the TAP Innovations web and mobile-enabled solution provided real-time analytics and reports. Staff now have a centralized location for data capture that has optimized their workflows.
Categories: Custom App
C#, ASP MVC.net, SQL Server, APIs, SSIS, Azure Cloud Services, Multi-Tenant, Entity Framework, Microsoft Power BI, Microsoft SQL Server, SSIS, SQL Server Integration Services