5 Ways Routinely Collected Data Supports a Learning Healthcare System

Routinely collected healthcare data can reveal important findings that support a continuously learning healthcare system, according to a discussion paper by participants in an Institute of Medicine collaborative.

The paper, "Making the Case for Continuous Learning from Routinely Collected Data," states that clinical data that is routinely collected, such as blood pressure measurements, weight and medications lists, present opportunities for healthcare stakeholders to learn and improve healthcare.

The authors show how analyzing routinely collected data can do the following:

•    Improve disease monitoring and tracking.

•    Better target medical services for improved health outcomes and cost savings.

•    Help inform both patients and clinicians to improve how they make decisions during clinical visits.

•    Avoid harm to patients and unnecessary costs associated with repeat testing and delivery of unsuccessful treatments

•    Accelerate and improve the use of research in routine medical care to answer medical questions more effectively and efficiently.

For example, data from electronic health records can track epidemics and disease, which enables providers to more effectively target the sick, according to the report.

More Articles on Healthcare Data and Quality:

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