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INFINX

PATIENT ASSIST PORTAL

At a Glance

 

Infinx is a technology-driven RCM Healthcare Services to medical  companies including radiology, pharmacy, labs, and hospitals. Making appointments, verifying insurance, and approving claims are three major problems healthcare providers face today.  This results in a loss of patients, revenue and time, which ultimately impacts the quality of care a patient receives. INFINX’s end to end RCM focused platform addresses these problems and allows healthcare providers to focus on what matters most, their patients. By being more patient focused, INFINX’s Patient Assist platform streamlines the entire patient experience using expert human knowledge combined with AI and machine learning. Creating a one stop shop for the patient allows for better communication, engagement and a less stressful experience during some of their most stressful moments.

 

URL: www.Infinxinc.com

Services:

  • UX Design

  • Interface Design

  • Product Design

Sector:

  • Healthcare

  • Medical

Type:

  • Website Portal

Pain Points:

  • High fees, with limited bang-for-the-buck, from their existing RCM vendor

  • Disjointed preauthorization processes among locations, lacking a cohesive workflow management system

  • Inconsistent turn-around-times and approval rates

  • High numbers of claim denials attributed to data entry errors in preauthorizations

  • Inadequate auditing and quality control

Meeting the Challenges:

Infographic Workflow

  • Automated job creation, work allocation, resource management and billing functions

  • Algorithm-driven ‘smart queue’ management

  • Effective process tracking with real-time alerts and timely email notifications

  • Full auditing and advanced analytics to further streamline Preauthorization processes

  • Consulted with client’s management team to identify operational bottlenecks throughout their end-to-end order fulfillment workflow, suggesting specific improvements via business process automation. I then work with the team to develop a comprehensive improvement plan

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The revenue cycle management process is crucial to the financial health of any medical practice. All parts of the process — from when the patient schedules an appointment to when the bill gets paid — help determine if the practice is reimbursed in a timely manner for care it provides. To help understand this process, I created the infographic workflow to better understand the problems.  What would an effective, efficient, accessible, and seamless patient access web portal looks like ? My role in this project is to design a better way to optimize patient access and engagement through clear, concise and appealing visual language.

Screen Shot 2020-01-15 at 12.27.00 AM.pn

My design process begins with brainstorming and gathering ideas then sketching out different interactive ways for customers to navigate their experience. I created a series of sketches that depict a patient's journey through the platform.

Patient Assist Personas   Xtensio.png

Wireframe:

For the wireframe, each structural layout was organized into a spatial layout of the entire system from Dashboard to analytic screens. These spatial layouts enabled the team to see the whole system at once and how content should be organized.

Mockup:

I wanted to design a UI with a sense of eye direction and could lead the users to focus from top navigation to show the most important task first. UI is simple in big bold text and provide all of the necessary information.

Cases view a list of all current cases, with status, case issues, and what needs immediate attention. I section the information with the brand color to make it easier for users to read and define the difference information. The case view to the right show what issues are keeping the patient from care, including preauthorization concerns.

Analytics page shows the performance with chart data. Delivers detailed analytics, reports, and insights to help users better understand the cycle and to determine the best course of action to help secure health providers revenue

Data Visualization:

Personas

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