Post by alamashik88 on Jan 16, 2024 23:36:34 GMT -6
This study also looked at how post-discharge engagement could cut down on unnecessary medical costs and readmissions. This study expands on previous research over the past two decades that suggests that transitions in care and assisted discharge programs after acute can reduce unnecessary readmissions. Better outcomes may be achieved with good follow-up treatment, including ensuring medication compliance, adherence to proper rehabilitation and physical therapy, remote symptom monitoring, and prompt follow-up examinations. Failure of this follow-up care (for example, due to lack of access, lack of health literacy, or other factors) makes it more likely that a patient will need additional care or end up in hospital.
Why is big data extremely important in the healthcare industry ? The past decade has seen a significant increase in the amount of data routinely generated and collected in almost everything, including human understanding, analysis and the use Industry Email List of technology. The discipline of " Big Data " has emerged as a result of these combined trends. And in the short period since its arrival, big data has taken the world by storm, having a major impact on all industries, from marketing to healthcare, in different ways, increasing productivity, improving the efficiency of processes, and fostering the environment that fosters innovation.
Big Data has been found very useful in the healthcare sector to predict epidemics, treat diseases, improve quality of life, and prevent avoidable deaths , helping to increase profitability and reduce unnecessary overheads. The medical and healthcare industries have had to evolve and adapt quickly to deal with modern forms of treatment administration and transmission as the world's population continues to grow, the quality of life has improved significantly, and people are live longer. There are details of what informs the decisions made as a result of those adjustments. Now, the main priority is to fully understand the patient as early in life as possible and, ideally, identify any early indicators of a major condition that would facilitate treatment.
Why is big data extremely important in the healthcare industry ? The past decade has seen a significant increase in the amount of data routinely generated and collected in almost everything, including human understanding, analysis and the use Industry Email List of technology. The discipline of " Big Data " has emerged as a result of these combined trends. And in the short period since its arrival, big data has taken the world by storm, having a major impact on all industries, from marketing to healthcare, in different ways, increasing productivity, improving the efficiency of processes, and fostering the environment that fosters innovation.
Big Data has been found very useful in the healthcare sector to predict epidemics, treat diseases, improve quality of life, and prevent avoidable deaths , helping to increase profitability and reduce unnecessary overheads. The medical and healthcare industries have had to evolve and adapt quickly to deal with modern forms of treatment administration and transmission as the world's population continues to grow, the quality of life has improved significantly, and people are live longer. There are details of what informs the decisions made as a result of those adjustments. Now, the main priority is to fully understand the patient as early in life as possible and, ideally, identify any early indicators of a major condition that would facilitate treatment.