Nuance Communications, Inc.

Isam H Habboush

Girija Yegnanarayanan

Mariana Casella Dos Santos

Frank Montyne

James R Flanagan

Frederik Coppens

David Decraene

Karen Anne Doyle

Anthony J Elcocks

Matthew R Shelton

Roubik Manoukian

Marnix Holvoet

Scott Abrutyn

Davide Zaccagnini

Johan Raedemaeker

Joeri Van Der Vloet

David Hellman

Ignace Desimpel

Tom Deray

Maria Van Gurp

Anush Hartunian

Techniques for determining a clinician's intent to order an item may include processing a free-form narration, of an encounter with a patient, narrated by a clinician, using a natural language understanding engine implemented by one or more processors, to extract at least one clinical fact corresponding to a mention of an orderable item from the free-form narration. The processing may comprise distinguishing between whether the at least one clinical fact indicates an intent to order the orderable item or does not indicate an intent to order the orderable item. In response to determining that the at least one clinical fact indicates an intent to order the orderable item, an order may be generated for the orderable item.

Methods and apparatus for determining a clinician's intent to order an item

A set of one or more clinical facts may be collected from a clinician's encounter with a patient. It may be determined that an unspecified diagnosis not included in the set of facts may possibly be ascertained from the patient encounter. A user may be alerted that the unspecified diagnosis may possibly be ascertained from the patient encounter.

Methods and apparatus for identifying unspecified diagnoses in clinical documentation

A set of one or more clinical facts may be collected from a clinician's encounter with a patient. From the set of facts, it may be determined that an additional fact that provides additional specificity to the set of facts may possibly be ascertained from the patient encounter. A user may be alerted that the additional fact may possibly be ascertained from the patient encounter.

Methods and apparatus for analyzing specificity in clinical documentation

A plurality of clinical facts may be extracted from a free-form narration of a patient encounter provided by a clinician. The plurality of clinical facts may include a first fact and a second fact. The first fact may be extracted from a first portion of the free-form narration, and the second fact may be extracted from a second portion of the free-form narration. A first indicator that indicates a first linkage between the first fact and the first portion of the free-form narration may be provided to a user. A second indicator, different from the first indicator, that indicates a second linkage between the second fact and the second portion of the free-form narration may also be provided to the user.

Methods and apparatus for linking extracted clinical facts to text

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Lexington, MA, United States of America

Isam H Habboush