Your hospital KPIs in a single dashboard

Make informed decisions based on AI analysis of your data.

“We start with the data. But the final call is always gut. It is called informed intuition.”

- Reed Hastings

Why Data Analytics:

Take out guesswork of decision-making

Find why something happened the way it did

Hospital data analysis supports unbiased and evidence-based strategies and decisions

Data and analyses at the right time transform the information into action

MYCare Insights - AI generated insights and forecasting:


A forecast is a prediction made by analyzing historical data and patterns. With access to collected data, our software can predict future demands and trends to help hospitals make more accurate decisions.

Forecasting is also useful to prepare for the uncertainty that can occur in the future. It is going to help you respond more confidently to changes, future demands, resource planning, and make strategic decisions.


MYCare Insights use historical data to compute boundaries of normality. Any value found outside this boundary is marked as an anomaly. You can see all the anomalies in a single report. This will help you to find possible problems at the moment they happen reducing the potential harm.

We will also give you a possible explanation of why they’ve happened. This will help you to find the problem and the solution to it as fast as possible.


With our algorithms, we find meaningful trends in your data. Our algorithm removes noises such as seasonality and outliers. For example, if patients increase during the winter this is not a trend, because it’s common sense. You can see possible gains and pains before they happen.

We will also give you an explanation of why. This will help you to find the problem and the solution to it even before it happens or to take the appropriate actions to achieve your goals.

KPIs analysis

You can have targets or thresholds for your KPIs. Our algorithms will tell you if you are in trouble or going to be in. The KPIs without targets or thresholds are analyzed based on the data behind them.

We will also give you an explanation of why. See why your KPIs are the way they are.

With our tool, you can measure:

Healthcare finance KPIs​

We help healthcare organizations measure their financial performance and identify areas for improvement.

Financial performance and identify areas for improvement provide a quantitative way to track progress towards financial goals, such as revenue generation and expense management. 

By monitoring KPIs, healthcare organizations can identify financial risks and opportunities, and make data-driven decisions to improve their financial stability and sustainability. 

Overall, healthcare finance KPIs are crucial for maintaining the financial health of healthcare organizations and delivering high-quality patient care.

Operations KPIs

Healthcare operations KPIs are metrics used to measure and evaluate the effectiveness and efficiency of operational processes within a healthcare organization.

These KPIs help organizations identify areas for improvement, optimize operations, and enhance patient care. Metrics such as patient wait times, resource utilization, and staff productivity are crucial for monitoring and improving the quality of healthcare operations. Overall, healthcare operations KPIs are essential for achieving operational excellence and delivering high-quality patient care.

Quality of Care KPIs​

Healthcare Quality of Care KPIs are metrics used to assess the performance and effectiveness of healthcare services in delivering high-quality care to patients.

These KPIs measure various aspects of care, such as patient satisfaction, clinical outcomes, adherence to best practices, and safety measures. They are important because they provide quantifiable data to evaluate and monitor the quality of care provided, identify areas for improvement, and make informed decisions to enhance patient outcomes. By tracking Quality of Care KPIs, healthcare organizations can strive for continuous improvement, ensure patient-centered care, and achieve better overall healthcare outcomes.

Patient Reported Experience

Patient Reported Experience refers to the feedback and insights provided by patients about their healthcare journey and the care they received.

Allows healthcare organizations to understand the patient’s perspective, assess patient satisfaction, and identify areas for improvement. By collecting and analyzing patient-reported experience data, organizations can make informed changes to enhance patient-centered care, improve patient outcomes, and ultimately deliver a better healthcare experience.

Therapy efficiency

Therapy efficiency measures the effectiveness and productivity of therapeutic interventions.

It is important because it helps optimize resource utilization, improve patient outcomes, and streamline treatment processes. By monitoring therapy efficiency KPIs, healthcare providers can identify opportunities to enhance treatment delivery, reduce costs, and ensure that patients receive the most effective and efficient therapies tailored to their needs.

Statistical health analyses

The statistical analysis evaluates how processes change over time and help understand historical patient data to compare and discover trends across various aspects of healthcare.

It is necessary for any research project seeking to make quantitative conclusions. Statistical analysis helps to predict future outcomes and forecast future patterns. Machine learning is one of the central factors in this analysis, which determines the ideal course of action for the best possible outcomes.

Clinical Pathways and Procedures Data

Cross-disease references by clinical pathways and outpatient procedures that provide information on:

  • Number of patients according to International Classification of Diseases.
  • Hospitalization and Outpatient procedure analysis by patient and patient groups – age group, disease stage, line of therapy, tumor marker, type of therapy, medication.
  • Length of Hospital Stay.
  • Emergency Patient Admissions.
  • Price of utilized drugs by disease, clinical pathways and outpatient procedures.

Drug Therapies Insights

Comprehensive range of references on the principles of applying drug therapies across all diseases, empowering you to make informed decisions. Uncover essential information including:

  • Number of therapies per protocol, cycles and days of administration.
  • Number of patients by diagnosis treated with different therapies.
  • How many times and how often is the therapy changed for one patient or groups of patients – age group, line of therapy, tumor marker, type of therapy.
  • How many cycles did each patient have before changing therapy.
  • Are the exact days on which the drugs should be administered observed.
  • What is the sequence of the patient’s prescribed therapies. On which lines are the different drugs and therapeutic combinations administered.
  • What medications are given before transplantation and are they continued afterwards.
  • Efficacy of the therapy – PFS status by therapies and patient groups (ICD, line, and age group).

Cost of treatment analysis

Empower your decision-making with a comprehensive grasp of treatment expenses. Unravel the financial layers of treatment, encompassing:

  • Average cost of therapy – cost of drugs, cost of procedures and/or hospitalizations, and others.
  • Comparison of the financial value of different therapies in patients with the same diagnosis.
  • Average cost of therapy on a monthly basis and in total.
  • Cost of drugs is calculated and displayed separately.
  • Additional, non-medicated costs incurred during treatment and their value.

Real-world clinical endpoints measurement

Elevate your healthcare decision-making with data-driven insights into treatment timelines.

  • Time to diagnosis.
  • At what stage was the patient diagnosed?
  • Time to treatment.
  • Duration of treatment.
  • Start of therapy – first day of drug administration.
  • End of therapy – change of therapy or expiration of protocol.
  • Reasons for discontinuation of treatment – intolerance to therapy, adverse events, fatal outcome, etc.
  • Time to progression – reporting of progression when changing therapy.
  • Measuring the average length of stay of a patient in different areas of the hospital.

Drug utilization

Gain unparalleled insights into drug utilization, guiding you toward optimized treatment strategies.

  • Used drugs – quantity, and value for different periods.
  • Discarded drugs– quantity, and value for different periods.
  • Administered drugs in relation to detected tumor markers.

MYCare Insights have measurable results:

Reduce cost up to10%

Improve patient experience with 30%

Optimize time to decision with 30%

Improve effectiveness and efficiency of the treatments up to 20%

How It Works

Easy integration and integrity in a click

We connect with your data

The process is fast and simple.

Then our predefined models and algorithms make the magic happens.

See AI-generated reports about anomalies, trends, and KPI analysis

MYCare Insights use the data and AI to generate your most important KPIs, trends, and reports.

The tool can also analyze your data in order to find anomalies and make forecasting about future results.

Our Clients:

National Oncology Hospital, Bulgaria

National Specialized Hospital for Active Treatment of Hematological Diseases, Bulgaria

Unlocking the Power of Healthcare Data

Yordan Iliev (MY Synergy), Mira Ganova (DHI Cluster), and Deyan Denev (ARPharM) discussed the importance of healthcare data – from gathering to processing and its use in treatment comparison according to the Therapeutic Guidelines.

They highlighted the benefits of data analysis and digital tools in monitoring therapy, generating new insights, and improving treatment approaches. They discussed the challenges of discrepancies between therapeutic guidelines and provided treatment, acknowledging the importance of personalized approaches to patient care. Additionally, they emphasized the significance of data sharing, interoperability, and local digital transformation in healthcare facilities.

Overall, the conversation underscores the potential of data-driven approaches, collaboration, and digital transformation to transform the healthcare system and deliver more efficient and effective care.