VIDEO
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JS
CSS
DESCRIPTION
MED.iKPI

MED.iKPI DASHBOARDS is a Business Intelligence class solution dedicated to healthcare units. The application allows you to easily understand the information contained in the data about the entire hospital and support in drawing conclusions. The application is characterized by proper presentation of data and information on potential risks and forecasts of future events in important management areas. Ensuring high quality healthcare requires analyzing large amounts of data and making the right decisions based on this information. Improved, simple and efficient business analysis presented in the form of dashboards is the key to supporting medical facilities in the most effective use of data, available personnel, sources of financing or own assets.

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The administrator of personal data is CANBI Sp. z o. o.
The data will only be processed for marketing purposes.

FREE CONSULTATION

The administrator of personal data is CANBI Sp. z o. o.
The data will only be processed for marketing purposes.
BENEFITS
Benefits
  • intuitive interface ensuring work ergonomics
  • transparent visualization based on reliable and most current data
  • focus on key indicators in decision making
  • easy control of deviations from the assumed values in the analysis
  • personalized data visualization for individual users
  • trend analysis option using historical data
  • the ability to visualize changes depending on the proposed decision options
VIDEO
FUNKCJE [DESK] CSS
FUNCTIONS
Functionalities
  1. 1
    Data Visualization - WARDS

    2. Data Visualization - WARDS

    • Admissions and discharges to wards.
    • List of deaths in wards.
    • Analysis of long stays (accreditation).
    • Analysis of return to hospital (accreditation).
    • Analysis of TISSs (how many points on particular days and for individual patients).
    • Analysis of referrals for tests (laboratory, X-ray, other).
    • Analysis of average length of stays of patients.
    • Analysis of length of stays before surgery.
    • Time activity of staff (doctors).
    • Bed cladding.
    • Analysis of performed company procedures (ICD-9).
    • Analysis of diagnoses (ICD-10).
  2. 2
    Data Visualization - PRACTICE

    3. Data Visualization - PRACTICE

    • List of visits made by the Clinic.
    • List of visits made by the Doctors.
    • List of assigned groups by the Doctors.
    • Summary by Benefit Codes.
    • Analysis of long-term visits (e.g. rehabilitation, home hospices).
    • Analysis of visits according to Work Procedures and ICD-9.
    • Analysis of visits according to Diagnosis ICD-10.
    • Analysis of waiting queues.
  3. 3
    Data Visualization - CHAMBER OF ADMISSIONS

    4. Data Visualization - CHAMBER OF ADMISSIONS

    • Decision in the Chambers - what receptions, where to go.
    • Returns in the Chambers (e.g. within 2 days).
    • Analysis of admissions in rooms according to specific diagnoses.
    • Analysis of admissions according to completed ICD-9 procedures and company procedures.
  4. 4
    Data Visualization - OPERATING BLOCKS

    5. Data Visualization - OPERATING BLOCKS

    • Summary of performed operations.
    • Analysis of surgeries according to doctors.
    • Analysis of surgeries according to ICD-9 and ICD-10.
    • Analysis of the time taken to perform the operation.
    • Analysis of the reoperation.
  5. 5
    Data Visualization - LABORATORY

    6. Data Visualization - LABORATORY

    • Quantitative analysis by research.
    • Analysis of results waiting.
  6. 6
    Data Visualization - RTG DIAGNOSTICS

    7. Data Visualization - RTG DIAGNOSTICS

    • Quantitative analysis by laboratory and research.
    • Quantitative analysis by physician.
    • Quantitative analysis by technicians.
    • Analysis of test waiting times.
    • Analysis of times between test execution and description.
  7. 7
    Data Visualization - BACTERIOLOGY

    8. Data Visualization - BACTERIOLOGY

    • Quantitative analysis of tests performed
    • Cost analysis of tests performed.
    • Analysis of tests performed by recipients.
  8. 8
    Data Visualization - PHARMACY

    9. Data Visualization - PHARMACY

    • Consumption of drugs in individual departments.
    • Consumption by selected analytical groups, e.g. antibiotics.
    • Condition of first aid kits.
    • Limits in first aid kits.
    • Consumption by Payer.
    • Status of contract performance.
  9. 9
    Data Visualization - SETTLEMENTS

    10. Data Visualization - SETTLEMENTS

    • Status of contract implementation.
    • Status of flat rate implementation.
    • List of completed groups (procedures) divided into branches.
    • List of completed groups (procedures) by physicians.
    • Analysis of surpluses (unpaid procedures) outside the lump sum.
    • Analysis of waiting queues.
    • Ranking JGP groups.
    • Comparison of costs and revenues per patient.

Data Visualization - WARDS

  • Admissions and discharges to wards.
  • List of deaths in wards.
  • Analysis of long stays (accreditation).
  • Analysis of return to hospital (accreditation).
  • Analysis of TISSs (how many points on particular days and for individual patients).
  • Analysis of referrals for tests (laboratory, X-ray, other).
  • Analysis of average length of stays of patients.
  • Analysis of length of stays before surgery.
  • Time activity of staff (doctors).
  • Bed cladding.
  • Analysis of performed company procedures (ICD-9).
  • Analysis of diagnoses (ICD-10).

Data Visualization - PRACTICE

  • List of visits made by the Clinic.
  • List of visits made by the Doctors.
  • List of assigned groups by the Doctors.
  • Summary by Benefit Codes.
  • Analysis of long-term visits (e.g. rehabilitation, home hospices).
  • Analysis of visits according to Work Procedures and ICD-9.
  • Analysis of visits according to Diagnosis ICD-10.
  • Analysis of waiting queues.

Data Visualization - CHAMBER OF ADMISSIONS

  • Decision in the Chambers - what receptions, where to go.
  • Returns in the Chambers (e.g. within 2 days).
  • Analysis of admissions in rooms according to specific diagnoses.
  • Analysis of admissions according to completed ICD-9 procedures and company procedures.

Data Visualization - OPERATING BLOCKS

  • Summary of performed operations.
  • Analysis of surgeries according to doctors.
  • Analysis of surgeries according to ICD-9 and ICD-10.
  • Analysis of the time taken to perform the operation.
  • Analysis of the reoperation.

Data Visualization - LABORATORY

  • Quantitative analysis by research.
  • Analysis of results waiting.

Data Visualization - RTG DIAGNOSTICS

  • Quantitative analysis by laboratory and research.
  • Quantitative analysis by physician.
  • Quantitative analysis by technicians.
  • Analysis of test waiting times.
  • Analysis of times between test execution and description.

Data Visualization - BACTERIOLOGY

  • Quantitative analysis of tests performed
  • Cost analysis of tests performed.
  • Analysis of tests performed by recipients.

Data Visualization - PHARMACY

  • Consumption of drugs in individual departments.
  • Consumption by selected analytical groups, e.g. antibiotics.
  • Condition of first aid kits.
  • Limits in first aid kits.
  • Consumption by Payer.
  • Status of contract performance.

Data Visualization - SETTLEMENTS

  • Status of contract implementation.
  • Status of flat rate implementation.
  • List of completed groups (procedures) divided into branches.
  • List of completed groups (procedures) by physicians.
  • Analysis of surpluses (unpaid procedures) outside the lump sum.
  • Analysis of waiting queues.
  • Ranking JGP groups.
  • Comparison of costs and revenues per patient.
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