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Implementing Collaborative Intelligence in Healthcare To harness the power of Collaborative Intelligence, healthcare organizations must take several crucial steps: Data Governance: Establish clear data governance policies to ensure data security and compliance with privacy regulations like HIPAA. Invest in Technology: Invest in advanced technologies such as AI and ML platforms that can handle healthcare data …

Collaborative Intelligence: The Key to Using Data to Improve Patient Care Read More »

Once you have benchmarked data, there are several steps you can take to use it effectively: Analyze the data: Carefully examine the benchmarked data to identify trends, patterns, and outliers. Look for areas where your performance is significantly better or worse than the benchmark. This analysis can help you identify areas for improvement and set …

You’ve benchmarked your data; now what? Read More »

To gather precise and comprehensive patient data, medical record documentation is vital. Without thorough and accurate documentation, medical professionals can lack the knowledge they need to decide how best to treat patients, which could undermine the standard of care. Additionally, inaccurate documentation may hinder meaningful research and analysis and cause billing and reimbursement inaccuracies. Proper …

Your data is only as good as your medical record documentation. Read More »

Surgical risk calculators can help improve patient outcomes, guide decision-making, improve communication, lower healthcare costs, and standardize risk assessment. Clinical data registries have a lot of information and can be used to predict risk before surgery. This gives doctors the chance to improve care for the patient, improve communication with the patient, encourage shared decision-making, …

Five Benefits of Using Surgical Risk Calculators Read More »

Clinical data registry abstraction is the process of collecting and organizing data from patient medical records for use in a clinical registry. These registries are databases of information on specific patient populations or conditions, and are used to track patient outcomes, measure quality of care, and support research and public health initiatives. Hospitals and other …

Why do hospitals need to prioritize clinical data registry abstraction? Read More »

Outsourcing clinical data registry abstraction can be a cost-effective and efficient way for healthcare organizations to collect and analyze data from clinical trials, electronic health records, and other sources. However, it is important to ensure that the data being collected is kept safe and secure throughout the process. One way to ensure the safety of …

Is my healthcare data safe when abstraction is outsourced? Read More »

Here are some tips on finding remote data abstraction jobs. Identify your relevant skills and experience. Data registry abstraction jobs often require experience in medical coding and data entry, as well as attention to detail and strong organizational skills. Make a list of your relevant skills and experiences to help tailor your job search. Search …

How do I find a remote data registry abstraction job? Read More »

Meaningful use is a term used to describe the use of electronic health records (EHRs) in a way that can improve patient care and outcomes. In order to qualify for certain incentives and funding under the Meaningful Use program, healthcare organizations must meet specific criteria related to the use of EHRs. Clinical registry data abstraction …

How clinical registry data abstraction is important to meet meaningful use criteria? Read More »

Outsourcing data registry abstraction services can provide a number of benefits to healthcare organizations, including improved data accuracy, increased efficiency, and reduced costs. But what is the return on investment (ROI) of outsourcing these services? One way to calculate the ROI of outsourcing data registry abstraction services is to compare the cost of outsourcing the …

What is the ROI on outsourcing data services? Read More »