An Applied Healthcare Data Science Roadmap for Nursing Leaders: A Workshop Development, Conceptualization, and Application.

Nurse leaders working with large volumes of interdisciplinary healthcare data are in need of advanced guidance for conducting analytics to improve population outcomes. This article reports the development of a roadmap to help nursing leaders use data science principles and tools to inform decision-making, thus supporting research and approaches in clinical practice that improve healthcare for all. A consensus-building and iterative process was utilized based on the Cross-Industry Standard Process for Data Mining approach to big data science.

Evaluation of Flowsheet Documentation in the Electronic Health Record for Residence, Living Situation, and Living Conditions.

Social determinants of health (SDOH) are important considerations in diagnosis, prevention, and health outcomes. However, they are often not well documented in the EHR and found primarily in unstructured or semi-structured text. Building upon previous work, we analyzed all flowsheet data in 2013 for information related to the SDOH topic areas of Residence, Living Situation, and Living Conditions.

Residence, Living Situation, and Living Conditions Information Documentation in Clinical Practice.

Social determinants of health (SDOH) have an important role in diagnosis, prevention, health outcomes, and quality of life. Currently, SDOH information in electronic health record (EHR) systems is often contained in unstructured text. The objective of this study is to examine an important subset of SDOH documentation for Residence, Living Situation and Living Conditions in an enterprise EHR informed by previous model representations.

Representing Residence, Living Situation, and Living Conditions: An Evaluation of Terminologies, Standards, Guidelines, and Measures/Surveys.

Social determinants of health play an important role in diagnosis, prevention, health outcomes, and quality of life. The objective of this study was to examine existing standards, vocabularies, and terminologies for items related to Residence, Living Situation, and Living Conditions and to synthesize them into model representations. Sources were identified through literature and keyword searches, and an examination of commonly used resources.

Towards the Standardized Documentation of E-Cigarette Use in the Electronic Health Record for Population Health Surveillance and Research.

The debate regarding potential negative health effects of electronic nicotine delivery systems (ENDS), which include electronic cigarettes, has received much recent attention. Currently, it is unknown whether ENDS pose a real health risk to users or those passively exposed to their vapor. With the increased use of these devices, the goal of this study was to examine if and how their use is being documented in the electronic health record (EHR) and the associated implications for clinical research.

Multi-source development of an integrated model for family health history.

Objective: To integrate data elements from multiple sources for informing comprehensive and standardized collection of family health history (FHH).

Materials And Methods: Three types of sources were analyzed to identify data elements associated with the collection of FHH. First, clinical notes from multiple resources were annotated for FHH information.

Exploring electronic health records as a population health surveillance tool of cardiovascular disease risk factors.

The objective of this study was to examine the utility of using electronic health record (EHR) data for periodic community health surveillance of cardiovascular disease (CVD) risk factors through 2 research questions. First, how many years of EHR data are needed to produce reliable estimates of key population-level CVD health indicators for a community? Second, how comparable are the EHR estimates relative to those from community screenings? The study takes place in the context of the Heart of New Ulm Project, a 10-year population health initiative designed to reduce myocardial infarctions and CVD risk factor burden in a rural community. The community is served by 1 medical center that includes a clinic and hospital.

Automated extraction of family history information from clinical notes.

Despite increased functionality for obtaining family history in a structured format within electronic health record systems, clinical notes often still contain this information. We developed and evaluated an Unstructured Information Management Application (UIMA)-based natural language processing (NLP) module for automated extraction of family history information with functionality for identifying statements, observations (e.g.

Examining the use, contents, and quality of free-text tobacco use documentation in the Electronic Health Record.

Recent initiatives have emphasized the potential role of Electronic Health Record (EHR) systems for improving tobacco use assessment and cessation. In support of these efforts, the goal of the present study was to examine tobacco use documentation in the EHR with an emphasis on free-text. Three coding schemes were developed and applied to analyze 525 tobacco use entries, including structured fields and a free-text comment field, from the social history module of an EHR system to characterize: (1) potential reasons for using free-text, (2) contents within the free-text, and (3) data quality issues.

Reactions of nurses to the use of electronic health record alert features in an inpatient setting.

While studies have been conducted to assess nurse perception of electronic health records, once electronic health record systems are up and running, there is little to guide the use of features within the electronic health record for nursing practice. Alerts are a promising tool for implementing best practice for patient care in inpatient settings. Yet the use of alerts for inpatient nursing is understudied.