The Benefits of Dashboard Reporting for Healthcare
Dashboard reporting for healthcare will improve operations and enhance experiences across the organization:
Patient experiences: When care teams can easily access patient data, they find answers and begin treatments more quickly. However, data accessibility can also enhance patient experiences in other ways. For example, data insights can help personalize service, streamline processes, and make information quickly available to patients and their families.
Operations: Data insights can simplify workflows, enabling informed decision-making while preserving time to focus on patient care.
Administration: Dashboard reporting allows healthcare organizations to manage assets more effectively, track equipment utilization, and gain visibility into inventory, maintenance services, and employee schedules.
Financial: Data insights will inform revenue cycle management, claims management, and value-based reimbursement.
Competitiveness: Data insights can shed light on sources of waste and reveal how to improve profit margins and build a stronger, more sustainable organization.
Why Traditional Dashboard Solutions Don’t Meet Healthcare Organization’s Needs
Analytics dashboard solutions are nothing new in healthcare. However, traditional dashboard solutions have limitations. First, they can only provide answers to specific questions, using a finite number of data sources and volume of data. If users need deeper insights or need to consider additional data sources, they need another dashboard. As a result, healthcare data consumers may have to use a cascade of dashboards on their computers to try to piece together insights for the information they need. Furthermore, building traditional dashboard solutions requires data science expertise. Healthcare teams rely heavily on their data and IT resources for analyses, which often means waiting weeks or more for a dashboard.
Finally, traditional dashboards aren’t particularly user-friendly. Although healthcare professionals are skilled in their areas of expertise, they aren’t necessarily knowledgeable in data science. Dashboard solutions that are difficult to use will result in low adoption and, ultimately, little value to the organization.
Learn more about why artificial intelligence (AI) platforms are the future of life sciences analytics.
Essential Features of Dashboard Reporting for Healthcare
A healthcare analytics solution for healthcare must make insights available to everyone who needs them. Staff from physicians, care teams, and operations managers to administrators and leadership should be able to interact with the platform intuitively.
An analytics platform with a hybrid natural language processing engine allows users to ask questions conversationally and receive accurate, contextual responses. A solution that’s this easy to use will result in higher adoption, as much as 100% according to our data, and the foundation for a new culture of data-driven decision-making in workflows throughout the organization.
AI platforms are available for businesses in all industries. However, AI works best when it’s trained for the domain. A purpose-built platform for healthcare and life sciences can provide relevant answers from day one, and implementation will take weeks, not the months necessary, to deploy a generic solution.
Healthcare data volumes are exploding. About 30% of the world’s data is generated by healthcare, and healthcare data is growing at a 36% compound annual growth rate (CAGR) through 2025. Any analytics solution that healthcare deploys today must be willing to provide a return on investment as data volumes continue to grow. WhizAI can analyze petabytes of data in a sub-second and deliver accurate, contextual insights.
Healthcare analytics solutions must be integrated with various data sources, both internal and external, and the applications that healthcare teams use. It’s also vital that the solution offers access control and security to keep protected health information (PHI) safe and granular control for data governance.
Healthcare teams often need data insights throughout their shifts, even when they’re away from their PCs. Users need to be able to access information from their smartphones or other mobile devices so they can make split-second decisions when they’re most important.
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