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As more and more raw data observations are recorded about patients in their
record, providers are face with an overwhelming amount of complex data points,
with little time for making sense of them all. This phenomenon of information
overload has been observed in several care settings, from outpatient clinics
and primary care, to hospital admissions, and the emergency room. With the
advant of health information exchange, reviewing of patient data will only
become more complex and time consuming for clinicians. One of the promises of
the electronic health record is to support clinicians at the point of care.
Clinical information systems, unfortunately, seldom provide effective cognitive
support - i.e., they do not present information in an optimal format to
clinicians when and where it is needed.
HARVEST is an interactive, problem-oriented patient record summarization
system. The summarizer differs from previous work in three critical ways: (i)
it extracts content from the patient notes, where key clinical information
resides; (ii) it aggregates and presents information from multiple care
settings, including inpatient, ambulatory, and emergency department encounters;
and (iii) it is integrated into the clinical information review system iNYP at
New York Presbyterian Hospital, and is available for all patients in our
institution, not just a curated dataset or for specific patient cohorts.
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