Perspectives in health information management / AHIMA, American Health Information Management Association最新文献

Introduction: Moral sensitivity is one criterion for competent professional ethics. This sensitivity can be reinforced by specific educational practices. The purpose of this study was to investigate the impact of professional ethics-based education on the ethical sensitivity of health information technology students.

Method: This quasi-experimental pre-post study was conducted in 2022 with 49 students. A researcher-created questionnaire based on Lutzen was used for data collection. Data were analyzed using descriptive statistics and paired t-tests.

Findings: Students' moral sensitivity score was 7.4 ± 0.7 before and 7.6 ± 0.8 after, a significant increase in post scores (P=0.031). The moral sensitivity score of students who had not previously received professional ethics training was statistically significantly increased by case-based learning.

Results: The professional ethics-based teaching method was effective in increasing the moral sensitivity of health information technology students, so it is recommended to use this method of teaching medical ethics courses.

Bexar Data Dive, an online data platform, was created to increase accessibility and use of health and social determinants of health data, such as education, economic barriers to healthcare, and hospitalization rates, to decrease racial/ethnic health disparities throughout Bexar County. A model of user-centered design helped us incorporate community input into the platform. We conducted four interviews and five focus groups to gather information on how people use data - specifically beginner and intermediate-level data users from various educational, governmental, and nonprofit organizations. Then, we launched a community survey to assess specific data needs. Lastly, once the alpha version of Bexar Data Dive was ready, we conducted user testing sessions to measure usability, identify bugs, and gather final feedback before launch. Our findings included many recommendations for incorporating user-centered design in health data management. Participants wanted a health data tool that was easy to use, had the indicators they commonly need, and would provide visualizations for presentations, grants, and other projects.

Purpose: The study purpose was to describe the availability of sex, gender identity, and sexual orientation (SOGI) data in a large, Catholic health system.

Methods: A retrospective chart review on the Sisters of St. Mary (SSM) Health database was conducted from January 1, 2012, to March 27, 2024. The availability of SOGI data and number of sexual and gender minority patients was reported.

Results: Among the 5,759,869 records, data on sex was available for the majority of the population (99.9 percent); data on gender identity and sexual orientation were reported for smaller proportions (7.4 percent and 4.5 percent, respectively). Sex and gender were reported among 7.4 percent of the population. A total of 4,567 gender minority and 14,644 sexual minority patients were seen.

Conclusion: Though SOGI data were largely unavailable in the SSM Health database, the system has the capacity to separately record sex, gender, and sexual orientation, with a range of response options to capture gender and sexual orientation diversity.

The 11th Revision of the International Classification of Diseases (ICD-11) with its informatics-based infrastructure has transformed an antiquated classification system into a suite of 21st century computer applications. This manuscript proposes an innovation model to facilitate the implementation of ICD-11 by the US. The model introduces ICD-11 Comprehensive Clinical Linearization, Evolution and Response, or C-CLEAR, a fully coded comprehensive clinical linearization and syntactical rules for combining these codes. These enhancements can be incorporated into electronic coding tools that enable clinical reporters to transmit complex clinical concepts expressed in detailed natural clinical language by means of standardized clusters of ICD-11 stem and extension codes. The model can support rich clinical data captures such as condition acuity and severity, as well as pharmacological treatments. This approach shows promise to accelerate ICD-11 implementation with minimal disruption and maximal net benefits but will require vetting, testing and input from expert stakeholders.

Despite the cooperative sharing of health information exchange (HIE), various distinct limitations and barriers are found (i.e., substantial time and resources are being used to achieve health information). This paper investigates the limits of healthcare information sharing policy implementation for patient referral systems in Thailand. Mixed-methods research methodology, both quantitative and qualitative mechanisms, are conducted. The study results present the correlation between the current HIE among the hospitals in patient referral systems and the limitations of implementing the HIE policy, composed of technical, economic, political, and legal barriers. The statistical test reveals that these four main barriers could limit information sharing or impede Thailand's standard healthcare information-sharing policy and practice development. Predominantly, it is further found that there is no standard for data collection and data archiving systems; unclear guidelines, practices, and procedures; and a lack of standard practice due to fragmented administration. Foremost of all, the data ownership of any competent authorities or related regulators could cause any constraints in information sharing (e.g., complexity and processing time). This paper's findings will be beneficial to stakeholders, such as policymakers interested in achieving meaningful use, facilitating the adoption and implementation of HIE at a national level to ensure patients' safety and enhance healthcare quality.

The success or failure of a clinical documentation integrity (CDI) program is often evaluated using a designated set of metrics. However, these metrics change over time, and an understanding of these changes is critical to properly judge the efficacy of the CDI effort. The authors propose a model of the natural history of a CDI program based on commonly used CDI metrics. The authors believe that this model can assist CDI leaders in anticipating and understanding the course of CDI performance over time.

Introduction: Within revenue cycle management, billing is an important activity for physicians with financial implications across remuneration models. We assessed the self-reported billing confidence of residents and attending physicians practicing at an academic family health team in a single payer setting.

Methods: All residents and attending physicians working or who had worked at the team were invited to complete a 20-question electronic survey on their exposure to billing education and their self-reported confidence with various billing activities.

Results: Twenty-five percent (n=40) of eligible physicians completed the survey. There were statistically significant differences between attending and resident physicians' billing experience (median 117.5 vs. 7.5 months). Analysis of free text comments revealed the positive impact of early billing exposure and opportunities for longitudinal feedback.

Conclusion: Despite the small sample size, findings suggest that early exposure of family medicine residents to billing with standardized training contributes to a more positive experience during residency.

Laboratory services are a crucial part of medical care and contribute to physicians' treatment-related decision-making. However, paper-based information exchanges between physicians' offices and laboratories waste physicians' time and prevent them from using outpatient test results in a timely and effective manner. To solve this problem, improve the safety and quality of patient care, and save patients' time and energy, the present study developed a web-based system for electronic information exchange between laboratories and offices in Microsoft Visual Studio with the ASP.net technology and the Microsoft SQL Server database. The developed web-based software met the needs of the users and stakeholders (physicians, laboratory personnel, and patients) in the laboratory service cycle. To evaluate the software, user satisfaction was assessed in terms of user interface, operational functionality, and system performance, indicating the acceptability of all the criteria from the viewpoint of the stakeholders. The developed web-based software enables electronic communication between offices and laboratories (two important healthcare bases), establishes information exchange (sending requests and receiving laboratory results) between these two bases, and also notifies the patients. The software gained the overall satisfaction of the users, and this highlights the need for electronic communications in the healthcare domain.

While there is significant literature discussing physical and cybersecurity risks around health information technology in general, the number of publications that specifically address medical imaging is much smaller, and many of these focus on the technical security requirements for the exchange of medical images over public networks rather than practical guidelines for radiologists and technicians. This study examines the US Department of Health and Human Services database of reported breaches involving medical imaging from 2010-2020, identifies the most common contributing factors to those breaches, and offers recommendations for radiology practices to prevent each, based on the National Institute of Standards and Technology (NIST) guidelines as well as measures proposed in the literature on health information technology.