AI Clinical Summaries
AI Clinical Summary solutions use AI to ingest clinical information and generate a summarized output.
There are a wide range of use cases for these solutions, including: pre-charting; referral intake; surfacing care and diagnosis gaps; quality measurement; curating real world evidence; clinical trial matching; clinical registry submissions; clinical documentation improvement; and medical record review for insurance and legal needs.
There is overlap between this category and clinical decision support, care gap and contract performance analytics, patient intake, and clinical documentation improvement (CDI), as the generation of summaries is often paired with specific workflow-focused solutions.
Product Usage: Suki is used for dictation directly into patient encounter notes and other areas, with additional functionalities for using templates in encounter plans and macros.
Strengths: Suki’s main strength is its user-friendly nature, which allows physicians to interact with the product easily and comfortably without needing technical expertise.
Weaknesses: Suki could improve its native application to the same quality level as its enhanced review and further refine the tuning of its ambient mode.
Overall Judgment: Suki serves well as a reliable, user-friendly dictation tool with a helpful support team; its ability to work in various modes is valuable, even though some improvement areas remain.