The Role of the Electronic Medical Record in the Intensive Care Unit Nurse's Detection of Patient Deterioration: A Qualitative Study

Analysis of the effect of digital hospital efforts on paper savings in inpatient procedures and on the duration of nursing care services

Background

This study has two primary objectives. Firstly, it aims to measure the time savings achieved through the digitization of paper forms filled out by nurses in the inpatient care process. Secondly, it seeks to reveal the financial savings resulting from reduced paper consumption due to the digitalization. The Health Information Management System Society (HIMSS)-Electronic Medical Record Adaption Model (EMRAM), which makes stage-based (0-7) evaluations, serves as a tool to measure the rate of technology utilization in public hospitals in Turkey. The study is based on the HIMSS EMRAM criteria for 2018. Bahçelievler State Hospital, a public hospital in Turkey, was chosen as the research facility. In 2017, it was accredited as Stage 6 with HIMSS EMRAM. However, not all its wards have been digitalized. Initially, pilot selected wards were digitized. Therefore, digital and non-digital wards serve together. In this context, 4 wards were randomly selected and time, paper and toner savings before and after digitalization were measured.

Method

A table was created in Microsoft Excel,listing the forms used by nurses in inpatient care and the time required to fill them out.The time spent for filling paper-based forms and digital-based forms was measured in randomly selected wards.

Result

The analysis showed that digital forms saved more time, paper and toner. For example, filling out the patient history form took 45 min when using paper, compared to 12 min in digital environment. Approximately 27% time savings are achieved only for the patient history form. The total time savings delivered by digitalization for 1,153 inpatients during the year were found as 117 care days, and the savings on total paper consumption was 41.289 pages. For 1,153 inpatients throughout the year, the total time savings from digitalization was 117 care days and the total paper consumption savings was 41,289 pages. In addition, in 4 wards with a total bed capacity of 25, annual paper savings of $1,705.86 and toner savings of $283,736 were achieved.

Discussion

This study reveals the benefits of digitalisation in hospitals for nurses. It saves the time that nurses allocate for filling out paper forms with digitalised forms. Thus, it is a good practice example in terms of using the time allocated for form filling for patient care.When we extend this study to Turkey in general, it can be considered that the time savings achieved by nurses by digitizing inpatient forms varies between 10.8% and 13%. The number of nurses working in public hospitals in Turkey is approximately 160,000. Assuming that 60% of the nurses work in the inpatient ward, it is understood that the annual savings achieved by digitizing the forms corresponds to a range of 398-559 nursing hours.

Clinical decision-making and the nursing process in digital health systems: An integrated systematic review

AIMS

To identify how the nursing process (assessment, planning, intervention and outcome evaluation) has been incorporated into digital health systems (electronic medical records, electronic care plans and clinical decision support systems) to gain an understanding of known benefits and challenges posed to nurses' decision-making processes.

BACKGROUND

Nursing terminologies, including the International Classification for Nursing Practice (ICNP), and Nursing Minimum Data Set's (NMDS), have been developed to improve standardised language integration of components of nursing care into digital systems. However, there is limited evidence regarding whether the complete nursing process is effectively being incorporated into digital health systems.

METHODS

An integrative systematic review following PRISMA guidelines. A search strategy was applied to extract articles from included databases: CINAHL, MEDLINE, SCOPUS and Web of Science Core Collection. Articles were limited to English language and published January 2007-March 2022 and assessed using a pre-determined eligibility criteria. Quality assessment and a narrative synthesis were conducted.

RESULTS

A total of 3321 articles were identified, and 27 studies included. There were (n = 10) qualitative, (n = 4) quantitative non-randomised controlled trials, (n = 3) quantitative descriptive studies and (n = 10) mixed methods. Nurse assessment and planning components were the most comprehensive phases incorporated into digital health systems, and interventions and outcome evaluation were scarcely reported.

CONCLUSIONS

Inadequate capture of nursing work is a problem unresolved by digital health systems. This omission may be hindering nurse clinical decision-making for patient care and limiting the visibility of the nursing role in health care interventions and the associated impact on patient outcomes.

RELEVANCE TO CLINICAL PRACTICE

Further research is needed on how digital systems can support nurses to apply the full nursing process and to further evaluate patient outcomes. Digital systems can support health-service level evaluation through capturing missed nursing care and the consequences on patients utilising nurse-sensitive-outcomes; however, this is not yet being realised.

Data capture and sharing in the COVID-19 pandemic: a cause for concern

Routine health care and research have been profoundly influenced by digital-health technologies. These technologies range from primary data collection in electronic health records (EHRs) and administrative claims to web-based artificial-intelligence-driven analyses. There has been increased use of such health technologies during the COVID-19 pandemic, driven in part by the availability of these data. In some cases, this has resulted in profound and potentially long-lasting positive effects on medical research and routine health-care delivery. In other cases, high profile shortcomings have been evident, potentially attenuating the effect of-or representing a decreased appetite for-digital-health transformation. In this Series paper, we provide an overview of how facets of health technologies in routinely collected medical data (including EHRs and digital data sharing) have been used for COVID-19 research and tracking, and how these technologies might influence future pandemics and health-care research. We explore the strengths and weaknesses of digital-health research during the COVID-19 pandemic and discuss how learnings from COVID-19 might translate into new approaches in a post-pandemic era.

Effects of Electronic Health Record Implementation and Barriers to Adoption and Use: A Scoping Review and Qualitative Analysis of the Content

Despite the great advances in the field of electronic health records (EHRs) over the past 25 years, implementation and adoption challenges persist, and the benefits realized remain below expectations. This scoping review aimed to present current knowledge about the effects of EHR implementation and the barriers to EHR adoption and use. A literature search was conducted in PubMed, Web of Science, IEEE Xplore Digital Library and ACM Digital Library for studies published between January 2005 and May 2020. In total, 7641 studies were identified of which 142 met the criteria and attained the consensus of all researchers on inclusion. Most studies (n = 91) were published between 2017 and 2019 and 81 studies had the United States as the country of origin. Both positive and negative effects of EHR implementation were identified, relating to clinical work, data and information, patient care and economic impact. Resource constraints, poor/insufficient training and technical/educational support for users, as well as poor literacy and skills in technology were the identified barriers to adoption and use that occurred frequently. Although this review did not conduct a quality analysis of the included papers, the lack of uniformity in the use of EHR definitions and detailed contextual information concerning the study settings could be observed.

State of the Science of Dimensions of Nurses' User Experience When Using an Electronic Health Record

This integrative review synthesized relevant studies in the last decade associated to nurses' experience with the electronic health record using Robert and Lesage's dimensions of User Experience: functional, physical, perceptual, cognitive, psychological, and social. A comprehensive search was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance across four electronic databases. We included articles if they were specific to nurses' electronic health record experience and workflow, published between January 2008 and June 2018, and available in English. The search resulted in 793 records with 26 articles included in the final analysis. Articles ranged from quantitative, qualitative, mixed-methods, and quality improvement studies. Across studies, the suboptimal design of the electronic health record affected the functional experience of nurses, often resulting in interruptions. The navigational design contributed to nurses' perceptual experience leading to many workarounds and workflow mismatches. Most of the studies reported overall satisfaction with the electronic health record that represented the psychological dimension of nurses' experience. Communication barriers due to the use of the electronic health record prevented nurses from having meaningful interaction with other clinicians and patients. Although nurses reported substandard user experience, many stated that reverting to a linear paper-based system was not an option.

Factors Influencing How Intensive Care Unit Nurses Allocate Their Time

Spending time with the patient is essential for intensive care unit (ICU) nurses to detect clinical change. This article reports on an examination of factors influencing nurses’ activity time allocation. Data were analyzed from a prospective time and motion study of medical ICU nurses. Nurse demographic data and observation, electronic locator technology, and electronic medical record log data were collected over 12 days from 11 registered nurses. Charlson Co-Morbidity Index and Sequential Organ Failure Assessment scores were calculated for patient assignments. Nurses averaged 78.04 ( SD = 47.85) min per patient on activities in the patient room. Years of ICU nursing experience and the patient’s Charlson Co-Morbidity Index was significantly associated with time spent in the patient’s room. Neither nursing education nor specialty certification was found to influence time spent in a patient’s room. Using technology can advance understanding of nurses’ time allocation leading to interventions optimizing time spent with the patient.