The effect of electronic medical records on medication errors, workload, and medical information availability among qualified nurses in Israel—a cross sectional study: A Critique

Raneen Naamneh

[Your Institutional Affiliation, if applicable]

Introduction

The deep looks at the study "The effect of electronic medical records on medication errors,

workload, and medical information availability among qualified nurses in Israel—a cross sectional

study" which was permitted by Moran Bodas and Raneen Naamneh. This study, which will be

printed in BMC Nursing in 2024, aspects into how expending Electronic Medical Record (EMR)

systems interrupts medication mistakes and the nursing staff's efforts. Naamneh and Bodas

claimed that electronic medical record (EMR) systems decrease workload and directing drugs

mistakes while rapidly improving the accessibility of medical data. The study's deductions have

a big impression on medical systems globally, mainly in Israel, since the investigation occurred.

Summary

The effects of electronic medical record (EMR) structures on medication mistakes and staff

nursing effort is examined in a study by Naamneh and Bodas. This Israeli study required to regulate

whether EMR structures can improve access to medical data, lesser workloads, and avoid medicine

errors during delivery.

The outcomes require that electronic medical record (EMR) structures efficiently reduce

medication distribution errors and nursing team determination. The general adoption of EMR

systems was seen to have designed accessibility of medical data. However, Several problems with

EMR systems were also well-known by the study, such as the requirement for performing multiple

responsibilities, which can cut down on time consumed providing personal care to patients, and

the problems and inefficiency of the arrangements, that may make it more tough to obtain

significant medical data rapidly.

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The results highlight the condition for hospitals to give careful consideration to the growth and deployment of EMR systems in order to decline these problems and enhance the benefits of electronic record-keeping.

Critique:

Investigative how Electronic Medical Record (EMR) systems affect errors in medication and nursing staff's pressure or workload, Naamneh and Bodas' study deals important results. The study could still be enhanced and studied in several areas.

Strengths:

Clear Purpose: Observing how EMR structures affect medication errors, workload, and the accessibility of medical proceedings is the study's declared objective or aim.

Comprehensive Analysis: A detailed estimation of the influence of EMR systems on nursing staff is providing by the study, which observes a number of associated factors.

Quantitative and Qualitative Data: The research employs a inclusive analysis by including both quantitative information, such as p-values, and qualitative data resulting from participant input.

Weaknesses:

Sampling Bias: The paper recognizes that because the sampling strategy was convenience-driven and depended on the snowball method rather than probability, bias could have been introduced.

Subjective Measurement: Workload along with data available were two of the study's dependent variables that were assessed privately, which could have convinced bias and impacted the validity of the outcomes.

Limited Scope: This research may not be flexible to other demographics or conditions because it motivated on a particular population—Israeli nursing workers.

Organization, Coherence, and Clarity: The material is accessible in the document in a straightforward and logical way, and it is effective. A concise synopsis of the study's aims is given in the introduction, and the results are outlined logically. Some parts, such as the exploration of ideas, might be separated out more precisely, though.

Credibility of Sources: The study backs up its claims and conclusions with pertinent citations. A more thorough assessment of the literature, particularly when it comes to the discussion of how EMR systems affect workloads and medication mistakes, could improve the study, nevertheless.

Biases or Assumptions: Consuming personal quantities to determine limitations like determination and data availability is one way that the study might be influenced. Additionally, the study's highlighting on the opinions of nursing staffs might not properly condense the EMR systems' unbiased influence.

Advice for Enhancement:

Handle sample Bias: To reduce bias and development the potential for simplification of the results, upcoming studies could employ a more strict model system.

Employ Objective Measures: The study's deductions might be supported by include objective stress assessments and quantitative dimensions of information accessibility.

Extend Literature examination: The study's consequences and conclusions might get extra context and authentication from a more detailed examination of the works.

Examine Cross-Cultural Factors: Future studies may inspect how EMR schemes interrupt errors in medication and workload in frequent cultural contexts, given the chance of cultural differences in medical surroundings.

Conclusion:

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An important view into how technology changes healthcare delivery is provided by Naamneh and Bodas' study on the implications of Electronic Medical Record (EMR) schemes on

errors in medicine, workload, and database accessibility among nursing employees. The study's

paybacks are initiate in its use of data that is qualitative and quantitative, by analysis, and a

different aim. Yet, there are drawbacks, such as a narrow scope, individual approximations, and

sample bias.

Nevertheless, these drawbacks, the study adds to the body of data by emphasizing the

possible compensations and problems of integrating EMR skills into medical environments. The

outcomes suggest that while EMR systems can reduce effort and prescription errors, they might

also decrease access to data and create new difficulties with their complexity and accessibility.

In order to improve the research, additional research may employ more challenging sample

techniques, include actual metrics, such workload assessments, and take multicultural

deliberations into account. All things measured, the study extends our information of how

technology disturbs the transfer of health care and offers perceptive information to legislators and

doctors.

Reference

Naamneh, R., & Bodas, M. (2024). The effect of electronic medical records on medication errors, workload, and medical information availability among qualified nurses in Israel—a

cross sectional study. BMC Nursing, 23(1). https://doi.org/10.1186/s12912-024-01936-7