Table 2. Articles included in analysis.
| Study | Details |
|---|---|
| Bamnote and Agrawal 32 | Analyzed user logs of an electronic health record (EHR) search function and classified queries as informational, navigational, or transactional; looked at how different types of users use different kinds of queries |
| Biron et al 34 | Implemented EHR search function in a cancer treatment hospital in France; discusses details of the tool and its use for both medical care and research |
| Duftschmid et al 36 | Evaluated a within-document search function with diabetes specialists to see if they could find all required pieces of information in a patient's record within a time limit (with and without search) |
| Duke et al 35 | Describes usage of an EHR search function that allows searching of different orders to place |
| Garcelon et al 33 | Describes usage of a data warehouse that allows searching within medical documents (within and across records) and its reception among users |
| Hanauer 39 ; Hanauer et al 42 ; Yang et al 43 ; Zheng et al 44 ; Zheng et al 45 | Relate to clinical aspects of EMERSE (collaborative search bundles, query analysis, personalization usage) a |
| Hasan et al 38 | Brazilian Portuguese semantic search engine evaluated on clinical summarization tasks to determine effect on the time taken to perform tasks by two medical students and two nursing students |
| Kovacs et al 40 | Noninstantaneous search engine for radiologists to search the EHR for retrieving data for clinical follow-up |
| Moen et al 41 | Finnish-language search tool assessed by three subject matter experts regarding whether it made finding information in the EHR easier/quicker, etc. |
| Natarajan et al 31 | Examined search queries used in EHR search functions to understand user information needs |
| Ruppel et al 18 | Assessed EHR users' searches within individual patient records over 13 mo to understand information needs |
| Tawfik et al 37 | Gave participants realistic search scenarios in an EHR to complete with and without a search function to evaluate its usefulness |
| Ye and Fabbri 46 | Created and evaluated an algorithm to highlight “related terms” to expand keyword search within the EHR (compared with exact match only highlighting) |
a
The Electronic Medical Record Search Engine (EMERSE) has both clinical and research applications; for this review, we excluded articles discussing only the research applications of EMERSE.