The information that is derived from the processing of medical data can be valuable for the enhancement of outcomes in healthcare industry’s lifecycle such as clinical trials, care and support, medical technology, pharmaceutical market and products, healthcare economics, healthcare policy and assessment of healthcare systems. The utilization of big data is also a big challenge for medical industry, as the volume of healthcare data is constantly growing.
Medical data are spread across various departments of the hospitals or exist in various non-hospital administrative authorities. The term “medical” data concerns data of different content and format, generated from various data sources and can be related to clinical documentation, patient history, laboratory results, medication, insurance, billing information and more. The integration of medical data for us is not just the collection of clinical data from various data sources but the process of data validation and data processing for the acquisition of meaningful insights which can assist clinics/hospitals in the improvement of their business processes and the advancement of care services.
We can turn your medical notes can into structured electronic data which can be easily processed and analyzed with the use of advanced text mining and analysis techniques. However, we understand that for doctors the usability of the clinical narrative in paper is often considered much more concise and reflective of the patient’s perspective than the digital recording of patient clinical data. In this case the processing and textual analysis of the documented data can be used for building an electronic repository of documents and for the acquisition of targeted well-structured information that is hidden in the textual records of medical documents.
Biostatistics are involved in every step of clinical research including trial design, protocol development, data management and monitoring, data analysis and reporting. INESIS supports medical/pharmacy industry in assessing the efficiency and safety of a new drug or device, through the design of clinical trials, management and analysis of clinical trial data. Our team consists of senior statisticians with strong statistical background and advanced programming skills, who can support you in all statistical features of the clinical trial lifecycle.
Healthcare analytics focus on offering insights in key parameters of healthcare industry such as hospital management, costs, patient records, diagnoses, and health insurance. INESIS provides sophisticated data analytic solutions by taking advantage of the most recent trends in healthcare and biopharmaceutical research and development domain. Our healthcare analytic solutions are classified into 3 major categories: Descriptive, Diagnostic and Predictive analytics.
- Descriptive/Diagnostics Analytics
Descriptive analytics give answers on past actions. Diagnostic analytics add useful insights about the reason of a past event, in other words answer questions on why something occurred in the past. With these two types of analytics healthcare stakeholders can monitor for instance, the patient admission rates or reach conclusions on the increase of specific diseases at annual or monthly basis.
- Predictive Analytics
The increasing volume and the technological advantages in digitizing and capturing real time information on medical/clinical data, generate a pool of patient-level data that can be used to generalize to the larger population and built predictive models that exploit historical data for targeting future events. The application of predictive analysis in the healthcare industry contributes to the improvement of the following processes: diagnostic accuracy, personalized medical treatment, management of hospital operations such as staff scheduling, supply management and formulation of efficient plans that successfully treat epidemic seasonal outbreaks.
Ad hoc-surveys are surveys designed for a specific purpose. Their main benefit is allowing for the design and collection of data based on specific requirements, related to the information needs of healthcare stakeholders. An indicative example of ad-hoc survey/analysis is the comparison of two or more orthopedic surgery techniques based on specific measurements recorded for the patient before and after the surgery.
Our team has experience in the design and implementation of ad-hoc surveys in the healthcare industry. This kind of service helps healthcare stakeholders in acquiring targeted information on special topics of interest that cannot be investigated with the data collected through the business or operational lifecycle of the medical or pharmaceutical industry.
INESIS provides solutions that turn your data into meaningful insights. We can produce data analytics that can be used in healthcare industry for:
- better care coordination
- disease diagnostic, prevention and treatment
- improved patient wellness
- clinical decision support
- application of precision medicine
- cutting down on administrative costs
- the exploitation of big data (hospital/pharma/patient data)
- formulate health insurance policies
For INESIS, data science can lead to advances in the medical industry.
Using a combination of statistical techniques, exploratory data analysis, and predictive analytics INESIS is putting data science in the service of medical industry for:
- The design and analysis of clinical trials
- The performance of ad-hoc surveys and data analysis
- The collection, structure and process of high volume of health-related data (in structured and unstructured forms) in order to further understand the human body, developments from research and much more.