Effectiveness of one treatment in terms of the change of a biomarker between two time points

In the context of prospective studies, interventional or non-interventional, health professionals are asked to evaluate the effectiveness of a therapeutic treatment in terms of the change in the values ​​of basic biomarkers, between two points in time (e.g. the start of the study and after a certain period of treatment administration).

Overall response rate of two or more treatments

In the context of many clinical trials, particularly phase III, researchers are interested in comparing the two, under evaluation, treatments, in terms of the response rate, both complete and partial, after a certain period of time.

Safety analysis of two or more treatments

In the context of randomized clinical trials, healthcare professionals are required to evaluate the safety of a new suggested therapeutic treatment and for this reason compare it with other pre-existing treatments, in terms of the occurrence of an adverse event after a certain period of administration.

Efficacy of two treatments on the change of a biomarker between two time points

In the context of randomized clinical trials, health care professionals are asked to compare two different treatments or one treatment with a placebo in terms of their effectiveness in improving the levels of a biomarker between two time points (e.g. start of study – after 6 months of treatment administration).

Efficacy of three or more treatments on the change in a biomarker between two time points

In the context of randomized clinical trials, health care professionals are often asked to compare a new therapeutic approach, both with the already existing one, and with a placebo in terms of their effectiveness in improving the levels of a biomarker between two points in time (eg study start – after 12 months of treatment).

Predicting appointment cancellations

Patients who fail to show up for scheduled appointments or cancel at the last minute - do not give the health center the opportunity to fill the appointment slot, resulting in both a loss of time and money for the health center, as well as disruption of the timely care of the remaining patients. There are many reasons why patients miss their appointments. They may have forgotten it, have problems with transportation due to weather, or may not be able to leave work on time. It is therefore considered to be of major importance that both private doctors and health care units be able to predict the no-shows of their patients, so that they can replace the cancelled appointment in time and no loss of time and money is noted.

Efficacy of one treatment in terms of the change of a biomarker between 3 or more time points

In the context of prospective studies, interventional or non-interventional, health professionals are asked to evaluate the effectiveness of a therapeutic treatment in terms of the change in the values ​​of basic biomarkers, between three time points(e.g. the start of the study, after 6 months of treatment administration and after 12 months of treatment administration).

Predictive Modeling for Healthcare Outcomes

Predictive Modeling can be used to identify risk factors, predict health outcomes, and personalize interventions for patients. By analyzing a variety of patient-level data, including demographic, clinical, and lifestyle factors, healthcare providers can develop models that improve health outcomes. This approach has the potential to transform healthcare delivery by enabling personalized, data-driven care.

OR Duration Estimation and Assessment

Accurately estimating and assessing the duration of surgeries in operation rooms is vital for optimizing healthcare operations and improving patient care. In this context, the utilization of historical data and statistical modeling, combined with real-time monitoring and data capture, can provide a reliable solution. By accurately predicting procedure durations, healthcare facilities can enhance scheduling, resource allocation, patient safety, and overall efficiency.

Predicting delays in surgical procedures

Surgical procedural delays have a significant impact on patient care, hospital operations, and healthcare resource management. Timely and efficient surgical procedures are crucial for patient outcomes and the overall effectiveness of healthcare institutions. However, delays in surgical procedures can disrupt schedules, cause patient anxiety, and lead to suboptimal resource allocation.