NOTICIAS

The healthcare sector has always been at the forefront when it comes to incorporating technology. In recent years, the so-called Health Tech, the startups in the industry, have even begun to emerge. But it was with the Covid-19 pandemic that its digital transformation accelerated, as in no other activity.

One of the most significant consequences is the fast increase in the amount of data, both in size and value, that this industry generates and has at its disposal to use in order to provide better service, optimize resources and, in the case of companies, to grow their business.

All this information, which comes from patients’ medical files, from the different services offered, from the administration and management of health centers or from analysis, science and technology laboratories, can be used by different areas of the public administration, medical companies, health insurance companies, health professionals, service companies, providers and other participants in the sector.

But for this to happen, access to information in a simple, efficient and secure way is essential. It is a must that the data is accurate and that there are no errors. In this industry, any mistake can be fatal. A wrong diagnosis, a missing input or an erroneous procedure has no place.

This is why data management in the healthcare area, based on the integration of databases, their consolidation, reconciliation and validation, is key for everything to work correctly.

Value-based care

In recent years, health care has changed paradigms. It has changed from so-called volume-based care to value-based care. The objective is to reorient health services so that they can improve the satisfaction of people’s health needs and, at the same time, improve and optimize the cost/outcome ratio.

But healthcare organizations cannot operate within value-based care, or recognize its advantages, without solid data and analytics.

A report from Deloitte indicates that value-based care will increasingly involve significant investments in analytics infrastructure, and that analytics platforms will increasingly be a key competitive differential for healthcare organizations.

A data preparation and validation platform such as Conciliac EDM, which is at the core of data capture, integration and consolidation, can help organizations unlock that value at both the clinical and business level and project them into the healthcare system of the future.

Why use data management in healthcare

The types and forms of data in this area are numerous. But at the clinical level we can detect electronic health records (EHR), genomics and post-genomics, bioinformatics, medical imaging, sensor informatics, medical informatics and health informatics and their analysis allows:

• Support clinical treatment decisions by physicians and other healthcare professionals.
• Improve the accuracy and speed of identifying patients at increased risk of disease.
• Provide greater detail in individual patient EHRs.
• Make health care delivery more efficient, which reduces costs.
• Promote preventive measures by providing patients with a greater understanding of their health and treatment goals.
• Integrate data from consumer fitness devices and other patient-provided health data sources.
• Send real-time alerts to healthcare providers by analyzing health data at the point of collection.
• – Improve the ability of public health organizations to predict disease outbreak, improve disease prevention, improve quality of life, and extend lifespan.
• Lower operating costs, improve delivery efficiency, optimize supply stock management, and other management-level optimizations.

Who can use it?

There are many people who can use the results of data analytics in various healthcare situations. These include researchers, physicians, hospital and health center administrators, and executives in the health insurance industry. But it is possible to divide the most common users among healthcare providers into three broad groups.

Clinical practice: Data analytics tools enable practitioners to improve care times and avoid patient wait times through better scheduling and staffing, provide better shift scheduling options, and reduce readmission rates by using population health data to predict which patients are most at risk.

Health insurance and private health organizations: Data analytics allows them to measure regulatory compliance, analyze claims and prescriptions, focus on prevalent health conditions, compare pricing data with quality metrics to identify high-value, low-cost healthcare providers. Predictive analytics also help them detect potential claims issues.

Public health managers: Prediction and prevention are key elements in any public policy. Predictive analytics are used to identify patients at increased risk of chronic disease in the early stages, analyses of laboratory tests, patient-generated data and various social factors that can help reduce the risk of long-term disease and lower overall health care costs.

Highlights of the benefits of data analysis in healthcare.

A report by Marville University proposes four of the most important benefits that Data Analytics offers to the healthcare system.

• Improve medical research: it helps research by gathering and analyzing clinical data from a variety of sources. Among the most useful sources of clinical information are EHRs, electronic medical records, personal health records, and public health records.
• Improve health outcomes: raising quality in healthcare settings treats patients safely and effectively while minimizing the trauma associated with their treatment.
• Get operational information from providers: so that work processes and organizational structures impact the quality of care received by patients.
• Improve staffing: to manage labor costs and, at the same time, improve the quality of care received by patients and the efficiency of service delivery.

Conciliac EDM is a platform that can help companies in the health industry to make the data integration, transformation and validation processes more efficient, faster and automatic, which is essential to have a solid foundation to build a data-driven healthcare organization.

If you want to know how, leave us your contact information or write to us at info@conciliac.com