Embedding, aligning and reconstructing clinical notes to explore sepsis.

OBJECTIVE: Our goal was to research and develop exploratory analysis tools for clinical notes, which now are underrepresented to limit the diversity of data insights on medically relevant applications. RESULTS: We characterize how exploratory analysis can affect representation learning on clinical narratives and present several self-developed tools to explore sepsis. Our experiments focus on patients with sepsis in the MIMIC-III Clinical Database or in our institution's research patient data repository. We found that global embeddings assist in learning local representations of clinical notes. Second, aligning at any specific time facilitates the use of learning models by pooling more available clinical notes to form a training set. Furthermore, reconstruction of the timeline enhances downstream-processing techniques by emphasizing temporal expressions and temporal relationships in clinical documentation. We demonstrate that clustering helps plot various types of clinical notes against a scale, which conveys a sense of the range or spread of the data and is useful for understanding data correlations. Appropriate exploratory analysis tools provide keen insights into preprocessing clinical notes, thereby further enhancing downstream analysis capabilities, making data driven medicine possible. Our examples can help generate better data representation of clinical documentation for models with improved performance and interpretability.

Physician use of speech recognition versus typing in clinical documentation: A controlled observational study.

IMPORTANCE: Speech recognition (SR) is increasingly used directly by clinicians for electronic health record (EHR) documentation. Its usability and effect on quality and efficiency versus other documentation methods remain unclear. OBJECTIVE: To study usability and quality of documentation with SR versus typing. DESIGN: In this controlled observational study, each subject participated in two of five simulated outpatient scenarios. Sessions were recorded with Morae® usability software. Two notes were documented into the EHR per encounter (one dictated, one typed) in randomized order. Participants were interviewed about each method's perceived advantages and disadvantages. Demographics and documentation habits were collected via survey. Data collection occurred between January 8 and February 8, 2019, and data analysis was conducted from February through September of 2019. SETTING: Brigham and Women's Hospital, Boston, Massachusetts, USA. PARTICIPANTS: Ten physicians who had used SR for at least six months. MAIN OUTCOMES AND MEASURES: Documentation time, word count, vocabulary size, number of errors, number of corrections and quality (clarity, completeness, concision, information sufficiency and prioritization). RESULTS: Dictated notes were longer than typed notes (320.6 vs. 180.8 words; p = 0.004) with more unique words (170.9 vs. 120.4; p = 0.01). Documentation time was similar between methods, with dictated notes taking slightly less time to complete than typed notes. Typed notes had more uncorrected errors per note than dictated notes (2.9 vs. 1.5), although most were minor misspellings. Dictated notes had a higher mean quality score (7.7 vs. 6.6; p = 0.04), were more complete and included more sufficient information. CONCLUSIONS AND RELEVANCE: Participants felt that SR saves them time, increases their efficiency and allows them to quickly document more relevant details. Quality analysis supports the perception that SR allows for more detailed notes, but whether dictation is objectively faster than typing remains unclear, and participants described some scenarios where typing is still preferred. Dictation can be effective for creating comprehensive documentation, especially when physicians like and feel comfortable using SR. Research is needed to further improve integration of SR with EHR systems and assess its impact on clinical practice, workflows, provider and patient experience, and costs.

An unusual aetiology of back pain.

We present the case of a healthy young man who developed pyogenic myositis, an infection that is rare in the USA. He had no prior medical conditions except for an obsessive-compulsive disorder and skin picking disorder resulting in multiple superficial skin infections. He presented to our hospital with acute back pain. He was found to be septic with fever, tachycardia and elevated white cell counts. Imaging revealed evidence of myositis in the gluteal region. He was treated with antibiotics and fully recovered. It is likely that the skin picking disorder and the recurrent superficial skin infections are responsible for the development of this infection.