The incremental design of a machine learning framework for medical records processing.

Objectives: This work presents the development and evaluation of coordn8, a web-based application that streamlines fax processing in outpatient clinics using a "human-in-the-loop" machine learning framework. We demonstrate the effectiveness of the platform at reducing fax processing time and producing accurate machine learning inferences across the tasks of patient identification, document classification, spam classification, and duplicate document detection.

Methods: We deployed coordn8 in 11 outpatient clinics and conducted a time savings analysis by observing users and measuring fax processing event logs.

Using design and innovation principles to reduce avoidable emergency department visits among employees of a large academic medical center.

1: Most large employers self-insure their employee health benefits, creating a motivation for employers to improve health care's value. 2: Employers who are also health care providers can aim for value through the direct provision of clinical services, not just through wellness programs or the design of insurance products. 3: Innovation and design methods can be systematically applied to health care problems to guide decisions about solutions which should or should not be scaled.