Care Delivery

Our healthcare business intelligence dashboards ensures better outcome and patient satisfaction.

With EBM (Evidence based medicine) and P4P (Pay for performance) in place, tracking and monitoring patients’ progress is critical to maintain profitability and patient satisfaction. Providing high quality care leads to profitability and care perception. Clinicians need real time insight into every single touch point of patient care to understand progress metrics and to take corrective actions.

EzDataMunch’s pre-built healthcare business intelligence dashboards gives clinicians and support staff real time information regarding patient progress at every phase of treatment and their satisfaction metrics.

Patient Pathway Analysis


 

Pathway analysis provides systematic arrangement of data that gives clinicians real time and collective insight into patient treatment and progress. This enables clinicians to select the right course of action at every phase of treatment ensuring quality of care and patient satisfaction.

EzDataMunch’s Healthcare business intelligence dashboard help clinicians to:

  • Identify and track patient progress and quality of care delivered at every phase of treatment.
  • Track EBM data to gauge the effectiveness of medicines applied.
  • Save time by getting insight into time variance at every phase and procedure and apply the benchmark process to further enhance the efficiency.
  • Be prepared with the right kinda resources for every phase based on information segregated by gender, age, encounters, and diagnosis records.

Patient Satisfaction


 

It is important to understand the quality of care delivered by knowing satisfaction derived by patients based on treatment, staff helpfulness, quality of equipments and so on.

EzDataMunch’s healthcare business intelligence solutions provide insight into:

  • Patient satisfaction score that can be viewed in multiple forms like rating scale, questionnaire filled up by patients, their reviews regarding staff, consultants and more.
  • Satisfaction data can further drilled down by age, gender, location and can be compared with the previous months or years data to see the care provider progress.
  • DRG satisfaction per patient.
  • Length of stay per patient per DRG to be ready with right kind of services and ensure patient satisfaction.

Blogs

Benefits of Management Reporting-Best practices and Report Examples

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Dashboards vs Reports Which one fits your organization

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Digital Dashboard – Know the potential in a business environment

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8 Key Factors for a Successful Business Intelligence Strategy

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5 Ways how Big Data Analytics changes eCommerce

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Best Practices for Building Qlik Sense / Qlik View Data Model

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Important KPIs_Retail-Supply Chain

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Hotel Data and Analytics

Hoteliers don't always consider data to be a fundamental tool in their daily operations. Hotel data focus on making guests happy than crunching numbers. So why does data matter to hotels? Because at the end of the day data is just information. When we look at the...
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Denials Management In HealthCare Industry

Background of 'Denials' Claim denials are an inescapable problem for hospitals and health systems throughout the country. Revamping the claim denials process is at the top of most hospital CFOs' minds. Definition of 'Denials' The formal definition of a medical billing...
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The Next Wave in BI: Search-based BI or Business Intelligence 3.0

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Our Healthcare Client’s Experience.


Healthcare

Labor cost is one of the biggest cost component in our total cost of care.  When we wanted to analyze how we are managing our people and their schedule, we turned to EzDataMunch Labor cost Leakage analysis solution. Not only we found that our measurement criteria were not set correctly, we were also short of compliance requirements for various states. With a single solution, we could assess our past behavior, decide the correct course of actions, implement the same and monitor our progress. There was no easier way compared to EzDataMunch solution to do all this in a record time of 10 weeks.

VP HR

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