Question

what are the challenges in healthcare analytics?

Answer 1

CHALLENGES IN HEALTHCARE ANALYTICS: The data analytics in healthcare includes many challenges in security, visualization and in data integrity concerns. The most common challenges in health analytics are: 1. CAPTURE: Because of poor electronic health record ( EHR ) , convoluted workflows and an incomplete understanding of why the data is needed contribute to the quality issues of healthcare analytics. By prioritizing valuable data based on their projects and by developing prior documentation on improvement programs helps to provide a clear data that is useful for healthcare analytics. 2. CLEANING: Data cleaning ensures clear, accurate and relevant information and are not corrupted. Inorder to ensure a clear data cleaning sophiscated and precised methods of learning method is used. 3. STORAGE: As the volume of healthcare data dramatically increases, cost management and impact on data centers accelerates with the healthcare data. Flexible approach to work and good storage capacity on data access are necessary for the healthcare organizations to end up this challenge. 4. SECURITY: Data security is needed for healthcare organizations to safeguard health informations. For a tightly secured data, the healthcare organizations must explain the data security protocols and should consistently review the data assets from hacking of informations. 5. QUERYING: The ability to query data is foundational for reporting of healthcare functions. 6. REPORTING: A report which is clear, accurate and accessible to reach out the audience is needed after clearing the query process. To functionally clear out this issue, the data must be extracted before examine. Highlighting certain trends ensure clear about the informations. 7. VISUALIZATION: Data visualization helps to absorb information accurately and use it appropriately. Good data presentation practices with contrasting images and labelling helps to reduce misinterpretation of data. 8. UPDATING : Frequent updates on current and relevant information on data access ensure quality or of datasets. 9. SHARING: Sharing data is important to ensure a good management on health and to value care to the patients. To overcome this factor, the electronic health records are designed and implemented to move data between desperate organizations and introduced a key to follow-up of patients.