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US008275850B2 (12) Bulleted States Patent (10) Patent N0.: Khan et a . (54) US 8,275,850 B2 (45) Date of Patent: MULTISOURCE LONGITUDINAL PATIENT LEVEL DATA ENCRYPTION Sep. 25, 2012 5,420,786 A 5,490,060

How to fill out multi-source longitudinal patient-level data

How to fill out multi-source longitudinal patient-level data:

1. Begin by gathering all relevant data sources, such as electronic medical records, insurance claims, pharmacy records, and patient surveys.
2. Ensure that the data is de-identified and anonymized to protect patient privacy.
3. Create a standardized format for organizing the data, using common data elements and coding systems to ensure consistency.
4. Clean the data by removing any duplicates, errors, or inconsistencies.
5. Merge the different data sources into a single dataset, using unique patient identifiers to link the data together.
6. Conduct quality checks to ensure the accuracy and completeness of the data.
7. Analyze the data using appropriate statistical methods and software.
8. Interpret the findings and draw meaningful conclusions from the multi-source longitudinal patient-level data.

Who needs multi-source longitudinal patient-level data:

1. Researchers: Multi-source longitudinal patient-level data is valuable for researchers conducting studies on various aspects of healthcare, including population health, disease management, and treatment outcomes. It allows them to examine patterns and trends over time, identify risk factors, evaluate interventions, and assess the effectiveness of different healthcare practices.
2. Healthcare providers: Multi-source longitudinal patient-level data can help healthcare providers gain a comprehensive understanding of individual patients' medical histories, treatment plans, and outcomes. This data can aid in improving care coordination, tracking patients' progress over time, identifying gaps in care, and making evidence-based treatment decisions.
3. Public health agencies: Multi-source longitudinal patient-level data provides public health agencies with valuable insights into the health of specific populations, enabling them to identify and monitor disease outbreaks, track the spread of infectious diseases, evaluate the impact of public health interventions, and plan and allocate resources effectively.
4. Policymakers: Policymakers can use multi-source longitudinal patient-level data to inform healthcare policies and regulations. This data can help them understand the effectiveness and cost-effectiveness of different healthcare interventions, identify areas of improvement, and make informed decisions to enhance the overall quality and accessibility of healthcare services.
5. Pharmaceutical companies: Multi-source longitudinal patient-level data is essential for pharmaceutical companies to conduct post-marketing surveillance, assess the safety and effectiveness of their products, and monitor the long-term outcomes of different treatments. This data can also be used to identify potential research and development opportunities and guide the development of new drugs and therapies.

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