Clinical Operations

Our healthcare business intelligence dashboards helps to track and improve daily operations and reduce patient waiting time.

Healthcare providers need proper alignment in day to day operations. Work that comprise of entering and maintaining proper patient record (EHR), quality patient administration, regulatory compliance for maintaining required standard of care and other processes.All these processes needs to be in proper sync to produce better outcome. These processes can be benchmarked and replicated to other departments to track improvements. Success of these critical operational factors can be accomplished by having a clear and real time visibility into information gathered from different sources.

With EzDataMunch’s healthcare business intelligence dashboards, clinicians and administrators can get accurate and real-time insight into their day to day operational metrics and KPIs.  This insight can help users to understand areas that can be enhanced to increase the efficiency of procedures, reduce patient waiting time and deliver quality care.

Leangth of Stay Analysis


 

  • Our healthcare business intelligence solutions helps to analyze patients length of stay by speciality, age, ethnic group and admission description.
  • Put patients to the right care, right bed and right nursing to ensure appropriate length of stay and smooth patient flow.
  • Track patient progress daily and complete other activities like payments and discharge in timely manner.
  • Manage capacity by knowing the daily average of scheduled or unscheduled patient’s admission.

Patient Flow Analysis


 

Patient satisfaction and positive outcome depends on the time taken to diagnose the patient. Every patient needs to be diagnosed in appropriate time irrespective of the disease. There are many touch points between patient entering the door till diagnoses and then treatment process and finally, discharge. With the help of our healthcare business intelligence solution business users get detailed insight into the waiting time and healthcare providers can improve the quality of care. This data can help expedite the treatment time based on severity.Users can categorise disease, schedule appointments, plan resource utilization and ensure patient satisfaction.

With EzDataMunch’s healthcare analytics solutions administrators can:

  • See the average wait time based on specific ailment group, ethnicity and classification.
  • See the total number of spells and episodes recorded.
  • Filter the report based on parameters such as age, admission method group and admission type.
  • Analyze wait time and spells by Healthcare Resource Group (HRG) and specialities and compare the wait time with previous months data.

Schedule Visits


 

Scheduling patient visits at the right time and with the right consultant goes a long way in ensuring patient satisfaction and timely diagnosis. Inefficient scheduling system can lead to patient dissatisfaction and frustration for referring consultant.

  • With our healthcare business intelligence dashboards business users can analyze the number of patient, visits and compare the data with total volume of visits per patients as per week, month and year.
  • Filter the data as per location, age, gender and diagnosis to understand which cohort visits often.
  • Check whether the appointment has been completed, rescheduled, active, canceled or no show and further filter this data based on diagnosis type.

Labor Productivity Analysis


 

Healthcare providers are under pressure to reduce cost. To achieve this goal, care providers have turned to drive greater efficiency from their most valuable resources. These resources are doctors, nurses and other supporting staff members who are involved in delivering care. Business users need real time and quick information into various KPIs like number of patient, productive hours, over time,and full time employees per occupied bed, to increase efficiency and bring down cost.

  • With our healthcare business intelligence solutions, users can measure the performance by analyzing labor data gathered from different branches, regions and shifts.
  • Uncover best practices and point out areas of improvement by comparing data gathered from multiple hospitals and departments.
  • Analyze planned budget against actual spending by comparing multiple metrics like FTE/OB.
  • Analyze productive hour against actual productive hours achieved and over time data to deduce costs.
  • Drill deeper into over time variance reports gathered from different branches to understand the reason for overtime and identify low performers.

Blogs

Denials Management In HealthCare Industry

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R vs Python for Data Science

Introduction If you’re interested in a career in data, and you’re familiar with the set of skills you’ll need to master, you know that Python and R are two of the most popular languages for data analysis. When it comes to data analysis, both Python and R are simple...
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Benefits/Advantages of QlikView, QlikSense, Tableau and Power BI

How to choose BI Tools: When we are selecting the right Business Intelligence tools for our organizations, consider our company, our employees, our departments and teams – and then success factors that drive our decision-making. What is not working currently, and what...
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How to Use Simple Date Functions in QlikView and QlikSense

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How to get started with NPrinting?

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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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