Business Intelligent in Health Care

With the advancements in promoting health and increasing life expectancy, health sector is encountering new and critical challenges. Expectations of the quality of healthcare services had been changed and became one of the top five national strategies in many countries.
The increased longevity heavily influenced health expenditures. Also, competition in providing healthcare services (in both public and private sectors). These factors made healthcare into a very challenging industry. The volume of the medical data produced is progressively increasing. Transforming these data into knowledge and wisdom for health promotion and optimization of cost management requires new solutions. Intelligent analysis of data and proper use of Business Intelligence is one of these solutions.
Business Intelligence is a technology that enables processing and demonstrating useful information. This information will lead to better administrative and business decisions. Based on the implementation model, BI can be used for operational, administrative and strategic purposes.
It should be noted that still human factor, as the ultimate beneficiary of BI systems, remains the main decision-maker.

  • Improving the quality of care
  • Reduce and better manage healthcare costs
  • Enhancing clinical decision making
  • Detecting and decreasing treatment complications and decreasing re-admissions
  • Identifying bottlenecks and improving healthcare services and organizational workflows
  • Increasing patient safety
  • Monitoring quality of the provided services in healthcare centers
  • Improving patients satisfaction
  • Assistance in research, development, and training
  • Disease prevention
  • Improving the prediction of the healthcare status in the future
  • Improving the competitiveness of the healthcare centers as an economic enterprise
  • Deferent data sources (with deferent format)
  • Extract, transform loud of data from the data sources to the Data Warehouse
  • Data analysis with Online Analytical Processing (OLAP/Cube)
  • Advance visualized view of results, with the dashboards format
  • Decision making
It should be considered that Rational relationship model cannot be used for creating and managing big data.
Business Intelligent in Health Care
The ability to analyze information, from raw data to having the right point of view of the future events, is constantly increasing. Payvand was able to achieve agile visualization level in their Business Intelligence system and is working on improving this product to reach higher levels of performance
Business Intelligent in Health Care
Payvand Administrative BI Dashboards Specialized in Healthcare
Payvand is committed to improve the level of health informatics. As a result, we developed two deferent kind of dashboards for administrative, strategic, and operational dashboards for Health Information Systems.
This kind of dashboards are mainly used for administrative and management decisions based on real hospital data. By this model of dashboards all the responsible person can manage deferent data in the real time and one view like:
  • Status of Data Interoparatabality
  • Income (cash, digital money, commitment, debit...)
  • Active clinics, physicians, …
  • Bed status, stay period …
  • Services related to deferent section or physician,...
Outcomes of Payvand Integrated BI System:
  • Ability to view and compare advanced analysis for different data sets from different centers.
  • Ability to run different advanced analytical dashboards, such as financial, diagnosis, pharmaceutical, healthcare providers, hospital units, clinics, medical services, etc.
  • Ability to provide analytical reports on different medicine repository inventory