Electronic Health Record Implementation Findings at a Large, Suburban Health and Human Services Department

An Australian survey of health professionals' perceptions of use and usefulness of electronic medical records in hospitalised children's pain care

Pain in hospitalised children is common, yet inadequately treated. Electronic medical records (EMRs) can improve care quality and outcomes during hospitalisation. Little is known about how clinicians use EMRs in caring for children with pain. This national cross-sectional survey examined the perceptions of clinician-EMR users about current and potential use of EMRs in children's pain care. One hundred and ninety-four clinicians responded (n = 81, 74% nurses; n = 21, 19% doctors; n = 7, 6% other); most used Epic (n = 53/109, 49%) or Cerner (n = 42/109, 38%). Most (n = 84/113, 74%) agreed EMRs supported their initiation of pharmacological pain interventions. Fewer agreed EMRs supported initiation of physical (n = 49/113, 43%) or psychological interventions (n = 41/111, 37%). Forty-four percent reported their EMR had prompt reminders for pain care. Prompts were perceived as useful (n = 40/51, 78%). Most agreed EMRs supported pain care provision (n = 94/110, 85%) and documentation (n = 99/111, 89%). Only 39% (n = 40/102) agreed EMRs improved pain treatment, and 31% (n = 32/103) agreed EMRs improved how they involve children and families in pain care. Findings provide recommendations for EMR designs that support clinicians' understanding of the multidimensionality of children's pain and drive comprehensive assessments and treatments. This contribution will inform future translational research on harnessing technology to support child and family partnerships in care.

Nurses' Informatics Competency Assessment of Health Information System Usage: A Cross-sectional Survey

Nurses' informatics competencies are nurses' professional requirements to guarantee the quality of patient care and affect nurses' use of health information systems. The purpose of this survey was to describe nurses' perceptions of their informatics competencies regarding health information system usage. A previously tested web-based questionnaire with multiple-choice questions was sent to nurses whose e-mail address was available through three Finnish Nursing Associations (N = 58 276). A total of 3610 nurses working in Finland responded. Both descriptive and explanatory statistics were used to analyze the data. The three dependent variables "nursing documentation," "digital environment," and "ethics and data protection" were formulated from the data. Nurses' overall informatics competency was good. The "ethics and data protection" competency score was higher than that of "nursing documentation" or "digital environment." Recently graduated nurses and nurses working in outpatient care, virtual hospital, examination, or operation had highest "digital environment" competency score. Health information system experience was associated with "nursing documentation." Nurses are highly qualified health information systems users. However, the competency requirements generated by rapidly expanding digitalization have challenged nurses. It is important to increase educational programs for nurses of how to use digital devices, and how to support patients to use digital services.

Medical and nursing clinician perspectives on the usability of the hospital electronic medical record: A qualitative analysis

BACKGROUND

Electronic medical records (EMRs) have been widely implemented in Australian hospitals. Their usability and design to support clinicians to effectively deliver and document care is essential, as is their impact on clinical workflow, safety and quality, communication, and collaboration across health systems. Perceptions of, and data about, usability of EMRs implemented in Australian hospitals are key to successful adoption.

OBJECTIVE

To explore perspectives of medical and nursing clinicians on EMR usability utilising free-text data collected in a survey.

METHOD

Qualitative analysis of one free-text optional question included in a web-based survey. Respondents included medical and nursing/midwifery professionals in Australian hospitals (85 doctors and 27 nurses), who commented on the usability of the main EMR used.

RESULTS

Themes identified related to the status of EMR implementation, system design, human factors, safety and risk, system response time, and stability, alerts, and supporting the collaboration between healthcare sectors. Positive factors included ability to view information from any location; ease of medication documentation; and capacity to access diagnostic test results. Usability concerns included lack of intuitiveness; complexity; difficulties communicating with primary and other care sectors; and time taken to perform clinical tasks.

CONCLUSION

If the benefits of EMRs are to be realised, there are good reasons to address the usability challenges identified by clinicians. Easy solutions that could improve the usability experience of hospital-based clinicians include resolving sign-on issues, use of templates, and more intelligent alerts and warnings to avoid errors.

IMPLICATIONS

These essential improvements to the usability of the EMR, which are the foundation of the digital health system, will enable hospital clinicians to deliver safer and more effective health care.

Protocol for implementation of an evidence based parentally administered intervention for preterm infants

BACKGROUND

Multi-sensory behavioral interventions for preterm infants have the potential to accelerate feeding, growth, and optimize developmental trajectories and increase parents' interactive engagement with their infants. However, few neonatal intensive care units (NICUs) provide evidence-based standardized early behavioral interventions as routine care. Lack of implementation is a major gap between research and clinical practice. H-HOPE, is a standardized behavioral intervention with an infant- directed component (Massage+) and a parent-directed component (four participatory guidance sessions that focus on preterm infants' behaviors and appropriate responses). H-HOPE has well documented efficacy. The purpose of this implementation study is to establish H-HOPE as the standard of care in 5 NICUs.

METHODS

The study employs a Type 3 Hybrid design to simultaneously examine the implementation process and effectiveness in five NICUs. To stagger implementation across the clinical sites, we use an incomplete stepped wedge design. The five participating NICUs were purposively selected to represent different acuity levels, number of beds, locations and populations served. Our implementation strategy integrates our experience conducting H-HOPE and a well-established implementation model, the Consolidated Framework for Implementation Research (CFIR). The CFIR identifies influences (facilitators and barriers) that affect successful implementation within five domains: intervention characteristics, outer setting (the hospital and external events and stakeholders), inner setting (NICU), implementers' individual characteristics, and the implementation process. NICUs will use the CFIR process, which includes three phases: Planning and Engaging, Executing, and Reflecting and Evaluating. Because sustaining is a critical goal of implementation, we modify the CFIR implementation process by adding a final phase of Sustaining.

DISCUSSION

This study builds on the CFIR, adding Sustaining H-HOPE to observe what happens when sites begin to maintain implementation without outside support, and extends its use to the NICU acute care setting. Our mixed methods analysis systematically identifies key facilitators and barriers of implementation success and effectiveness across the five domains of the CFIR. Long term benefits have not yet been studied but may include substantial health and developmental outcomes for infants, more optimal parent-child relationships, reduced stress and costs for families, and substantial indirect societal benefits including reduced health care and special education costs.

TRIAL REGISTRATION

ClinicalTrials.gov registration number NCT04555590 , Registered on 8/19/2020.

Applying Computational Ethnography to Examine Nurses' Workflow Within Electronic Health Records

OBJECTIVE

The aim of this study was to describe computational ethnography as a contemporary and supplemental methodology in EHR workflow analysis and the relevance of this method to nursing research.

METHODS

We explore the use of audit logs as a computational ethnographic data source and the utility of data mining techniques, including sequential pattern mining (SPM) and Markov chain analysis (MCA), to analyze nurses' workflow within the EHRs. SPM extracts frequent patterns in a given transactional database (e.g., audit logs from the record). MCA is a stochastic process that models a sequence of states and allows for calculating the probability of moving from one state to the next. These methods can help uncover nurses' global navigational patterns (i.e., how nurses navigate within the record) and enable robust workflow analyses.

RESULTS

We demonstrate hypothetical examples from SPM and MCA, such as (a) the most frequent sequential pattern of nurses' workflow when navigating the EHR using SPM and (b) transition probability from one record screen to the next using MCA. These examples demonstrate new methods to address the inflexibility of current approaches used to examine nursing EHR workflow.

DISCUSSION

Within a clinical context, the use of computational ethnographic data and data mining techniques can inform the optimization of the EHR. Results from these analyses can be used to supplement the data needed in redesigning the EHR, such as organizing and combining features within a screen or predicting future navigation to improve the record that nurses use.