Free Pilot Program
Free Pilot Program
Free Pilot Program
Free Pilot Program
          Transforming Healthcare Through Advanced Analytics

          In the ever-evolving landscape of healthcare, the ability to harness and analyze vast amounts of data has become crucial. Xen.AI Healthcare Analytics provides healthcare providers with powerful AI and Machine Learning based advanced analytics tools to transform raw data into actionable insights. By leveraging these insights, organizations can enhance patient outcomes, streamline operations, and make informed decisions that drive efficiency and innovation. This comprehensive approach to data analytics empowers healthcare professionals to predict trends, identify potential issues before they escalate, and deliver personalized care tailored to individual patient needs. As the healthcare industry continues to embrace digital transformation, advanced analytics stands at the forefront, enabling a future where data-driven decisions lead to better health for all.

          Mission Statement

          Our mission is to empower small and medium-sized businesses by providing accessible, intuitive, and advanced analytics tools. We strive to demystify data and transform insights into actionable strategies, enabling our users to make informed decisions, optimize their operations, and drive sustainable growth. Our commitment is to deliver powerful analytics capabilities, including 'what-if' scenarios, tailored specifically to the unique challenges and opportunities faced by small businesses, ensuring they have the competitive edge needed to thrive in today's dynamic market.

          Core Features:

          For the development cycle related to Healthcare Analytics, we choose to focus the development of built in features and design with the small business owner in mind.  Initial development will focus on improving the below scenarios for a small healthcare practice.

          • Intelligent Document Processing (IDP) Utilization: Reporting on both the use of Xen IDP products as well as capturing content and turning it into discrete data.

          • Customizable Advanced Analytics Dashboards and Reports: Offer customizable analytics dashboards with key performance indicators (KPIs) and interactive reports.

          • Competitor Analysis:  Ability to define competitors (local, regional, national, industry) and provide a sense of comparability, scale, customer feedback and other competitive metrics.

          • What-If Analysis: Enable users to simulate different scenarios (e.g., changes in pricing, marketing spend) and see potential impacts on the business.

          • Predictive Analytics:  Use machine learning models to forecast future trends based on historical data.

          • Competitor Analysis: Create ways to define the business and the competition and allow our products to search and profile the competition in several ways.  Provide key insights into the industry, the local market and your key competitors.
          Opportunity

          • IDP Dashboard

            Actionable Insights or Metrics

          • IDP performance metrics

          Engineering Features
          • Analytics visuals for trending and classifying data

          • Turning documents into discrete data fields capable of data mining

          Key Components
          • IDP interface, patient management system
          Opportunity

          • Revenue and Expense

          • Billing

          • Appointment Scheduling Optimization

            Actionable Insights or Metrics

          • Daily, monthly, and yearly revenue and expenses by category

          • Insurance payments, denials and patient responsibility (historical.)
            Future revenue monitoring (market growth, promotion, monitoring at-risk payments.)

          • Increased patient appointment availability

          Engineering Features
          • Analytics visuals for trending and classifying data.
            Highlight key metrics (No.of visits/patients, percentage inc/dec) for real-time review.
            What "if analysis" for future forecasting.

          • Analytics visuals for trending and classifying data.
            Prioritization and sorting for real-time and historical claims.
            Real-time alerts and process decision tree integration.
            Future "what if" analysis of better billing opportunities, collections, at-risk analysis.

          • Analytics visuals for trending & classifying data.
            Patient measurement for participation in direct marketing efforts/promotions.
            Scheduling optimization techniques for higher utilization to meet predetermined goals.

          Key Components
          • Patient management system, billing and claims, accounting system

          • Various insurance portals, patient management system, accounting and finance

          • Scheduling system, patient management system, accounting and finance
          Opportunity

          • Consumer Marketing and Promotions

          • Competitor Analysis


            Actionable Insights or Metrics

          • Effectiveness of marketing and patient retention efforts

          • Identifies trends in local, regional, national competitors marketing, promotion and service offerings

          Engineering Features
          • Analytics visuals for trending and classifying data.

            Highlight key metrics (no.of visits/patients, percentage inc/dec) for real-time review.

            What "if analysis" for future forecasting.

          • Scrape local listings for predefined geography, business type, and promotional information - repurpose them into an on-demand report for the business owner

          Key Components
          • Patient management system, billing and claims, accounting system.

          Opportunity

          • Customer Experience

            Actionable Insights or Metrics

          • Survey customer satisfaction and experience.

            Customer profile insight.
          Actionable Insights or Metrics
          • Analytics visuals for trending and classifying data

            Create classifications of avg patient profiles to highlight profitable features of each patient and suggest ways to make the most on each visit

            What "if analysis" for future forecasting

          Key Components
          • Patient management system, billing and claims, accounting system.

          Custom Dashboard Examples:

          Below are sample features proposed using components of dashboard models listed above.  Each customer will have a chance to work with Xen.AI staff to fully scope and customize these dashboards to suit their needs.

          1. General Business Dashboard:

          • Employee salaries - analyze the trends in labor hours and dollars over time

          • Labor per business function (administrative, clinical, support, HR, marketing, etc)

          2. Market growth, market share:

          • Competitive analysis - automated web search to assess what competitors are doing

           

           

           

          3. Patient Profile: Segment patient population into easy to group patient types - highlight the key characteristics 

          • Set parameters for most interesting customer features (insurance type, profitability, pt satisfaction, cost)

          • Identify opportunities to improve service and revenue

          4. Labor:

          • Employee salaries - analyze the trends in labor hours and dollars over time

          • Labor per business function (administrative, clinical, support, HR, marketing, etc)

          5. Finance: 

          • View key metrics over time - profit, taxes, liabilities, volume, labor

          Insurance:

          • Denials, issuance limits

          • What -if analysis 

          6. Human Resource:

          • Labor hours (productive and non-productive

          • Productivity monitoring

          • Licencing & certification

          • Job opening: Applicant tracking

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