Patient Experience Insights

Our innovative healthcare solution integrates 3rd party data from multiple sources to help business leaders understand factors that impact patients’ journey, from when they are diagnosed till their product gets filled. Our solution will help predict the likelihood of a patient to stay on therapy.

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Core Areas For Monitoring & Analysis:

Time To First-Fill(shipment)

The average time it takes for a patient to get a product.

Ship Rate

The proportion of patients that get a shipment within a particular time window.

Persistence

This measures the length of time patients stay on therapy

Patient treatment journey

This looks at the different treatments' patient get over time.

Patient diagnosis journey

This looks at the different diagnosis patients get over time.

Provider Analysis

This looks at the prescribers' pattern and their affiliations

Payer Analysis

This looks at the OOP cost, payers that send patients to the wrong SP.

Social Determinants of Health analysis

This looks at the different SDOH factors that affect patients e.g, income, ethnicity, education.

Features

Main features of our app

Outlined below are the four (4) main features Patient Experience Insights offers.

Predictive Models

  • Integrate patient level data from multiple sources of data to generate actionable insights and provide regular updates.
  • Expose integrated data set to client data scientists for analysis.
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3rd-Party Data Integration

  • Tailored and configured ML model for first-fill risk assessment.
  • Integrate and measure performance for first-fill risk factors
  • Uncover insights that identify probable root causes to drive actions.
  • Generate next best actions to appropriate stakeholders.

Frontend Application

  • Application can explore linked claims to obtain insights into provider history and competitive landscape.
  • App can explore linked SDOH to obtain insight into patient consumer habits.
  • Exploration of data and insights from integrated data to understand causes of non-adherence, and actions to improve fill.
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Industry Analysis

Because of our third party resources, we are able to access specific information relating to particular companies and/or industries. This often provides executives valuable knowledge and time-savings, by giving them real time news and data.

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FAQ

Our most frequent questions answered

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Business intelligence (BI) consulting services help establish a process of data aggregation and analysis to inform management decisions. Experienced service providers develop BI solutions that allow businesses to analyze valuable insights from internal company data, thereby improving efficiency and decision making. Enterprise business intelligence solutions allow to gain a competitive advantage and improve operations throughout the organization.
As a business intelligence solutions provider, we help businesses select and implement scalable enterprise business intelligence solutions that cover their data needs and operational challenges. Our team at O2Consulting analyzes data to produce financial and market intelligence reports. These reports are used to identify patterns and trends in a particular market that may affect the company’s operations and future goals. In addition, if a BI solution already exists that no longer meets business needs, the O2Consulting team evaluates and modernizes the existing solution with new data sources, sophisticated data warehouses, and top-notch functionality.
Business intelligence requires coding for processing data to produce actionable insights. BI solutions help get actionable data at every step of the process. This includes applications for data preparation, analysis, data visualization, reporting, etc. Coding is used in the BI project lifecycle modeling and data warehousing phases. O2Consulting is a BI service provider and after business intelligence consultation, we assemble a team based on your business needs, organizational structure and current challenges. 
The business intelligence team consists of a combination of project and program roles that encompass both specific BI initiatives and the overall management of the organization’s BI activities. Usually, for efficient implementation for enterprise bi solutions, the business intelligence team consists of a BI engineer, business analyst, data architect, ETL engineer, and software engineer. The BI team is responsible for data discovery, data validation, and working with end users to identify business needs and requirements. The service provider performs the business intelligence consultation and customizes the team structure based on current business needs, organizational structure, the complexity of the implementation, and timeline.

Use Cases

How our app can help improve your practice

Patient Acquisition – Commercial Line of Therapy

Determine if the true cause of patient discontinuation is drop-off or product switching, and if the root cause is cost related or provider related.

Patient Acquisition – HCP Targeting

Help understand HCP prescribing pattern, as well as patient volume by HCP rolled up to their highest hierarchy.

Patient Adherence – Persistency

Determine the likelihood of a patient to stay on therapy

Brand Analytics

Understanding brand performance and market share.

Patient Adherence – Commercial and Patient Services

Help understand patient pathways as they move from hub to specialty pharmacy, and identify the likelihood of a patient to fill, areas where patients drop off and which patient services are most problematic.

Ready to make major changes and strides?

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