Patient Experience Analytics for Optimal Patient Services Decision Making
All steps in a patient’s journey are interconnected. Developing a full, accurate picture of the patient landscape requires patient experience analytics that take all data sources into account, adapt to changes in the market, and deliver insights to employees across a life sciences organization to contribute to a data-driven culture. WhizAI’s augmented consumer platform for life sciences makes it easy for all patient services team members to access accurate, contextual insights to make informed decisions and quickly determine the best next steps.
How Patient Journey Analytics Contribute to Better Outcomes
- A complete view:
Unlike business intelligence (BI) dashboards limited in the number of data sources and the data volume they can analyze, WhizAI is highly scalable. It can analyze billions of data points, from healthcare provider (HCP) referral patterns, NBRx, and optimal dosage and titration data to patient outcomes. Better yet, WhizAI can deliver the answer a patient services team needs in less than a second, regardless of how complex the question or how much data is required for a complete picture of a patient’s circumstances. - Accessible, actionable insights:
Few patient services team members are also data scientists. WhizAI understands that the people on your team need patient experience analytics insights to do their jobs effectively, regardless of data analytics or IT expertise. With our platform, users simply ask a question, and WhizAI, powered by artificial intelligence (AI), machine learning (ML), and natural language processing (NLP), responds. Users don’t have to memorize keywords or particular phrases to use the platform. WhizAI understands the way patient services professionals communicate. - Automated visualizations:
Life science company teams have busy schedules and juggle a variety of tasks. WhizAI automatically creates visualizations based on the information it’s presenting and user preferences. With WhizAI, users always have the most important information front and center and insights that lead to quick decisions on the best next steps. - Invisible technology:
WhizAI believes that your team deserves powerful patient experience analytics capabilities – but that they should never even realize they’re using a BI solution. Instead, we’ve designed our platform to be as easy to use as a social media app, moving technology to the background and making seamless user experiences the priority.
Case Study: WhizAI Helps Manage 20,000+ Patients and Keep Them On Track With Their Therapies
A top global pharmaceutical company with 50 products across 10 therapeutic areas serves more than 20,000 patients. The company created a comprehensive patient portal to enhance patient experiences. However, 25% of patients discontinued using the portal within 90 days, and 20% of patients never began their therapy. The pharma company identified the root cause of the issue as a lack of visibility into the patient landscape. The thorough analysis required using a range of data sources and quickly delivering the insights that patients needed.
The company deployed WhizAI for patient experience analytics and, in only six weeks, saw 100% adoption of the solution, greater visibility into each phase of the patient journey, and instant identification of patients at high risk of discontinuation. With WhizAI, the company improved adherence and reduced dependency on its IT department by 60%, saw a 50% reduction in analytics total cost of ownership (TCO), and a five-fold increase in productivity.
The Benefits of Patient Service Analytics
Fast Deployment
WhizAI is pretrained for life sciences, enabling deployment within weeks rather than the months it would take to train a generic AI solution for the industry. Also, once deployed, users need only a few minutes to familiarize themselves with the platform before they can begin getting the patient experience analytics insights that help them do their jobs successfully.
Anomaly Detection
Identifying outliers, patients at risk for discontinuing their medications, or spotting unanticipated changes are key to patient services. But monitoring data manually is impossible, particularly at the speed of business. WhizAI identifies anomalies in patient data from end-user medical devices such as glucose monitors and ECGs, prescription adherence, and patient histories, and alerts patient services teams.
Improved Efficiency
With technology that delivers patient experience analytics insights to users on-demand or proactively – employees have more time to focus on their core responsibilities rather than on using a BI solution. WhizAI’s ease of use also decreases reliance on a life science company’s IT and data teams, allowing resources to use their talents to help the company develop a stronger competitive position.
A Culture of Data
When patient services teams realize how easy WhizAI makes building data into daily workflows – and how outcomes improve – they’ll begin to make data-driven decision making standard practice and enjoy greater success in their jobs
Agility
The life sciences industry and patient landscape are constantly in flux. WhizAI takes only a fraction of the time required to adapt BI dashboards, allowing patient services teams to keep up with change and adapt quickly.
