Saturday, October 1, 2022

The Digital Patient: Analytical Prediction in Health

Although predictive analysis is very common in other fields, it is not in the health sector, its use allows us to eliminate discretion in the interpretation of information in both public and personal health.

By integrating clinical records with other variables, we can predict adverse events and prevent their incidence. Predictive tools can integrate lifestyle data to develop a holistically user/patient-centered care model. In health systems, these tools can be applied to many areas of both collaborators and users.

Last but not least, the personalization of medical services can be improved by considering the characteristics of the absolute ideal of each patient.

An interesting concept comes up in conversation: in silico. It is a mathematical idea that originated in the 1980s and gave rise to the concept of computational medicine, i.e. the generation of modeling and simulation technologies that allow the recreation of physiological, structural, genetic and pharmacological variables to contribute to the analysis. Is. Disease prevention, diagnosis, therapeutic planning, execution and management. It remains a digital patient, but includes applied studies in biomedicine, mathematics, bioengineering and computer science.

it is digital twin This would allow early analysis of interventions or drugs without the long waits required today to be tested and studied on living beings.

There are currently ongoing projects where models of cardiac function have been replicated using artificial intelligence, to read or learn by meditating, Virtual reality and computational algorithms applied to magnetic resonance techniques.

The utility of these twins applied in health can lead to the creation of virtual models of individual patients to take personal health to a new level. It may be possible to digitally test available drugs or interventions before they are prescribed in an individual, and thereby contribute to quality care but even greater safety, by knowing the effects of both positive and negative interventions.

The utility of predictive data analysis in health, if combined with powerful computational tools, could lead to the foundation of new 21st century medicine and health care.

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Nation World News Desk
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