Patient Safety Culture, Health Information Technology Implementation, and Medical Office Problems That Could Lead to Diagnostic Error

Evolutionary game theory and simulations based on doctor and patient medical malpractice under government regulation

Physicians-patients are the two crucial participants in medical malpractice. The government, as the central authority responsible for addressing medical malpractices, plays a pivotal role in this matter. Guided by governmental agencies, its regulations, administrative orders, and policies serve as the primary governance mechanisms to address medical malpractice, providing an effective means to balance the doctor-patient relationship and foster social harmony and stable development. A doctor-patient evolutionary game model developed based on the principles of information asymmetry and finite rationality. The study explores the strategic decision-making process of these two players within the context of medical malpractice. Through the manipulation of various parameters, the model's evolutionary equilibrium strategy is demonstrated using Vensim PLE Version 6.4 simulation. The findings reveal that government regulation, patient cognition, and the benefits associated with standardized medical practices are the pivotal factors influencing the doctor-patient evolutionary game system under government regulation. It is possible to mitigate medical malpractice through adjusting relative weights of differing strategic options, adding penalties for unlawful conduct, and normalizing malpractice charges on the basis of physicians' income from standardized practice. To effectively address medical malpractice, proposed measures include adjusting the regulatory framework, reasonably determining the strength of regulations regarding medical practitioners' illegal practices and patient medical malpractice behavior, diversifying regulatory approaches, establishing comprehensive physician-patient management systems for information to resolve medical malpractices.

Electronic Health Record Use Issues and Diagnostic Error: A Scoping Review and Framework

BACKGROUND

Diagnostic errors are a major source of patient harm, most of which are caused by cognitive errors and biases. Despite research showing the relationship between software systems and cognitive processes, the impact of the electronic health record (EHR) on diagnostic error remains unknown.

METHODS

We conducted a scoping review of the scientific literature to (1) survey the association between aspects of the EHR and diagnostic error, and (2) through a human-systems integration lens, identify the types of EHR issues and their impact on the stages of the diagnostic process.

RESULTS

We analyzed 11 research articles for the relationship between EHR use and diagnostic error. These articles highlight specific technical, usability, and workflow issues with the EHR that pose risks for diagnostic error at every stage of the diagnostic process.

DISCUSSION

Although technical problems such as EHR interoperability and data integrity pose critical issues for the diagnostic process, usability and workflow issues such as poor display design, and inability to track test results also hamper clinicians' ability to track, process, and act in the diagnostic process. Current research methods have limited coverage over clinical settings, are not standardized, and rarely include measures of patient harm.

CONCLUSIONS

The available evidence shows that EHRs pose risks for diagnostic error throughout the diagnostic process, with most issues involving their incompatibility with providers' cognitive processing. A structured and systematic model of collecting and reporting on these errors is needed to understand how the EHR shapes the diagnostic process and improve diagnostic accuracy.

The role of organizational culture in health information technology implementations: A scoping review

Introduction

Methods

Results

Conclusions

Electronic Health Record Transition and Impact on Screening Test Follow-Up

INTRODUCTION

Nonurgent clinically significant test results (CSTRs) are a common cause of missed and delayed diagnoses. However, little is known about the impact of electronic health record (EHR) transitions on CSTR follow-up. This study examines follow-up rates for three CSTRs (incidental pulmonary nodules [IPNs]), prostate-specific antigen [PSA], and Pap smears) before and after EHR transition.

METHODS

This is a retrospective cohort study at an urban tertiary medical center using an interrupted time series (ITS) design to assess monthly changes in CSTR follow-up-defined as completion of computed tomography chest imaging 5 to 13 months after first mention of an IPN in a radiology report; completion of a follow-up PSA test, urology visit, or prostate biopsy within 6 months of the first reported PSA > 4; or completion of a colposcopy or gynecology visit within 6 months of a first reported abnormal Pap smear. Patients were included with first-onset abnormal CSTRs for IPN, PSAs > 4, or abnormal Pap smears occurring in the 24 months before and after the EHR transition.

RESULTS

There were no significant differences in follow-up in the IPN or the Pap smear ITS models. In the PSA ITS model, follow-up was significantly decreasing (p = 0.0133) in the preintervention period, and there was a significant change in trend from intervention to postintervention (p = 0.0279).

CONCLUSION

EHR transition reversed a decreasing trend over time for PSA test follow-up, while IPN and Pap smear follow-up trends did not change significantly. Effects of EHR transition may differ by test studied.

Patient Safety Attitude of Nurses Working in Surgical Units: A Cross-Sectional Study in Turkey

PURPOSE

To determine the attitudes of nurses working in surgical units toward patient safety.

DESIGN

A descriptive and cross-sectional study.

METHODS

The sample in this study was 207 nurses (92% of all the nurses) working in surgical units in a training and research hospital in Turkey, all of whom agreed to participate in this study between April 30 and June 25, 2019. Study data were collected using a demographic characteristics form and the Patient Safety Attitude Questionnaire. Number, mean, SD, percentage calculations, Kruskal-Wallis test, Mann-Whitney U test, and the Spearman correlation test were used to analyze the study data.

FINDINGS

The mean total attitude score of the nurses was 176.30 ± 26.92. Nurses who previously received training on patient safety had statistically higher attitude scores than those who did not (U = 3883.000; P = .01).

CONCLUSIONS

Nurses working in surgical units had a positive attitude toward patient safety, and previous training on patient safety significantly improved their attitude scores. A recommendation is to conduct effective in-service training programs for patient safety in hospitals and to encourage participation by nurses in training programs such as courses and conferences that will result in attitude improvement.

Assessment of Health Information Technology-Related Outpatient Diagnostic Delays in the US Veterans Affairs Health Care System: A Qualitative Study of Aggregated Root Cause Analysis Data

IMPORTANCE

Diagnostic delay in the outpatient setting is an emerging safety priority that health information technology (HIT) should help address. However, diagnostic delays have persisted, and new safety concerns associated with the use of HIT have emerged.

OBJECTIVE

To analyze HIT-related outpatient diagnostic delays within a large, integrated health care system.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study involved qualitative content analysis of safety concerns identified in aggregated root cause analysis (RCA) data related to HIT and outpatient diagnostic delays. The setting was the US Department of Veterans Affairs using all RCAs submitted to the Veterans Affairs (VA) National Center for Patient Safety from January 1, 2013, to July 31, 2018.

MAIN OUTCOMES AND MEASURES

Common themes associated with the role of HIT-related safety concerns were identified and categorized according to the Health IT Safety framework for measuring, monitoring, and improving HIT safety. This framework includes 3 related domains (ie, safe HIT, safe use of HIT, and using HIT to improve safety) situated within an 8-dimensional sociotechnical model accounting for interacting technical and nontechnical variables associated with safety. Hence, themes identified enhanced understanding of the sociotechnical context and domain of HIT safety involved.

RESULTS

Of 214 RCAs categorized by the terms delay and outpatient submitted during the study period, 88 were identified as involving diagnostic delays and HIT, from which 172 unique HIT-related safety concerns were extracted (mean [SD], 1.97 [1.53] per RCA). Most safety concerns (82.6% [142 of 172]) involved problems with safe use of HIT, predominantly sociotechnical factors associated with people, workflow and communication, and a poorly designed human-computer interface. Fewer safety concerns involved problems with safe HIT (14.5% [25 of 172]) or using HIT to improve safety (0.3% [5 of 172]). The following 5 key high-risk areas for diagnostic delays emerged: managing electronic health record inbox notifications and communication, clinicians gathering key diagnostic information, technical problems, data entry problems, and failure of a system to track test results.

CONCLUSIONS AND RELEVANCE

This qualitative study of a national RCA data set suggests that interventions to reduce outpatient diagnostic delays could aim to improve test result management, interoperability, data visualization, and order entry, as well as to decrease information overload.

A resident-led initiative to improve patient safety event reporting in an internal medicine residency program

Background

Despite the Clinical Learning Environment Review's recommendations of their use, patient safety event reporting systems are underutilized by residents.

Objective

We aimed to identify perceived barriers to event reporting amongst internal medicine residents and implement a targeted quality improvement initiative to address the identified barriers and increase overall resident event report rates.

Methods

A total of 94 Internal Medicine (IM) residents participated in the educational intervention in 2018. We measured residents' perception of barriers to event reporting and employed the results of the questionnaire to create a skill-based educational workshop. We conducted the plan-do-study-act model to test a structured educational intervention and its effectiveness on pre-post IM residents' event report rates and compared it to report rates of Non-Internal Medicine (Non-IM) residents. Additionally, we assessed pre-post intervention knowledge, skills, and attitudes in event reporting.

Results

94/94 (100%) of IM residents had a significantly higher median percent of patient safety event reporting when compared to pre-intervention (23.6% compared to 5.88%, p-value = 0.0030) and when compared to Non-IM residents (23.6% compared to 5.31%, p-value = 0.0002). Residents performed better on the post-test compared to the pre-test (90% compared to 30%, p-value = 0.0001) for knowledge. 100% of the critical action items were completed and 90% of participants reported their perception of the event reporting process improved.

Conclusions

By elucidating common reasons why residents are not reporting patient safety events, a specific intervention can be created to target the identified impediments and improve resident event reporting.

Abbreviations

IM: Internal Medicine IM; Non-IM: Non-Internal Medicine; IOM: Institute of Medicine I; ACGME CLER: Accreditation Council for Graduate Medical Education Clinical Learning Environment Review; GME: Graduate Medical Education; IRB: Institutional Review Board; PDSA: Plan, Do, Study, Act.