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Healthcare data management is the process of storing, protecting, and analyzing data pulled from diverse sources. Managing the wealth of available healthcare data allows health systems to create holistic views of patients, personalize treatments, improve communication, and enhance health outcomes.

Health Data Management Benefits

Health Data Management can have significant benefits for healthcare organizations, medical staff, and patients:

• Create a comprehensive view of patients, households, and patient groups—composite profiles that provide status and enable predictions.
• Improve patient engagement target patients with reminders and care suggestions that can be relevant for them, based on predictive modeling.
• Improve health outcomes track health trends in certain areas or among specific populations, predict new trends, and suggest proactive measures to counter rising health
• Business decision-making helps healthcare providers make better data-driven decisions, such as which types of medical professionals to recruit, what equipment to invest in, or which types of patients to focus on in marketing efforts.
• Analyze physician activity and analyze data on medical practitioners such as success rates, time invested in different treatments and medical decisions, and aligning physicians with the goals of the healthcare organization.

Health Data Management Challenges

In the past forty years, medical data began a transition from purely paper-based tracking to digitized information. Even today, many types of medical data have yet to be digitized or have not yet been integrated into Health Data Management systems.

Here are a few important challenges facing health data professionals today:

• Fragmented data medical data can be structured data in spreadsheets or databases, images or video files, digital documents, scanned paper documents, or may be stored in specialized formats such as the DICOM format used for MRI scans. Data is widely duplicated, collected multiple times, and stored in different versions by healthcare providers, public health organizations, insurance bodies, pharmacies, and patients themselves. There is no one source of truth for information on patient well-being.

• Changes to data medical data constantly changes as do the names, professions, locations, and conditions of patients and Patients undergo numerous tests and are administered many types of treatment over the years, and the treatments and medications themselves evolve over time. New types of medical treatment, such as telehealth models, create new types of data.
• Regulations and compliance medical data are sensitive and must adhere to government regulations, such as the USA Health Insurance Portability and Accountability Act (HIPAA). Data discovery challenges and poor data quality make it much more difficult to perform the required audits and meet regulatory requirements and limit the diversity of data healthcare providers can use for the benefit of patients.