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

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.

Vascular access (VA) is essential to inpatient care, and the documentation/coding practices for vascular access device (VAD) placement procedures remain unexplored. Accurate documentation may present benefits for patients, providers, and researchers. A retrospective analysis was performed in adult inpatients (2015 to 2020) using Cerner Real World Data™ to evaluate the utilization of CPT codes for VAD placement/replacement procedures. A total of 14,253,584 patient encounters were analyzed, 0.111 percent (n=15,833) of which received at least one VAD procedure code. Non-tunneled CVC procedures had the highest code rate (0.067 percent), while PIV/midline procedures were the least likely to be coded (0.004 percent). The annual proportion of code utilization increased from 10.9 percent in 2015 to 19.7 percent in 2020 (p<0.0001). Despite widespread use of VADs in the inpatient setting, the procedure coding rate was found to be remarkably low. Appropriate coding/documentation practices may ensure proper care by capturing VA-related patient history, and improve research quality and resource/staff allocation.

Objective: Awareness of the importance of social security systems continues to grow in Indonesia, as mandated by the amendment of the 1945 Indonesian Constitution Article 34 paragraph 2, which states the obligation of the Indonesian government to develop and implement a social security system for all Indonesian people. This study aims to evaluate the effectiveness of applying failure modes and effects analysis (FMEA) in managing inpatient medical records at the Dr. M. Djamil Padang Central General Hospital.

Material methods: This is a comparative research study that uses a retrospective approach and compares the data between 2017 and 2018 inpatient National Health Insurance (NHI) patient medical records. Study samples include randomly selected 24,005 files.

Results: The results showed a decrease in problematic claims by 13 percent and an increase in receipt of claims paid by 87 percent. There is a significant difference between the data in 2017 and 2018 in problematic claim decrease (p=0.000) and claim acceptance increase (p=0.000).

Discussion: It was found that the redesign process of the formation of hospital claims will make hospitals more organized, precise, effective, and efficient, therefore positively impacting hospital income. In addition, the redesign was carried out because of the large number of Social Security Administrator for Health patients; thus, it greatly affected hospital income.

Implication for health policies: The FMEA medical record flow process is very effective and can thus be implemented in hospitals.

Background: Acute kidney injury (AKI) increases patient morbidity and mortality. In value-based care, the documented and coded diagnoses during hospitalization influences an encounter's relative weight (RW), including severity of illness (SOI), and risk of mortality, which ultimately determines reimbursement for care. The impact of a secondary diagnosis of AKI on RW in pediatric patients has not been evaluated.

Methods: A single-center, retrospective observational study was conducted over six months. The institutional coding database was queried for secondary diagnoses signifying AKI. The RW for each case was determined with and without an AKI secondary diagnosis. Patients were further stratified by their SOI score to evaluate change in RW and SOI.

Results: Over a six-month period, 372 patients had a secondary AKI diagnosis, with a mean RW 2.14 decreasing to a mean RW 1.83 without an AKI diagnosis (p = 2.2e-16). When stratified by SOI, one patient had SOI 1 with RW change -0.286; six patients had SOI 2 with mean RW change -0.0669; 189 patients had SOI 3 with mean RW change -1.862 (p=2.23E-16); and 176 patients had SOI 4 with mean RW change -0.452 (p=9.46E-14), when the AKI secondary diagnosis was removed.

Conclusions: Significant negative changes in RW were observed when AKI was removed, suggesting diagnostic omission may result in inaccurately lesser representation of patient medical complexity and severity of illness upon hospitalization coding, which may lower reimbursement.

The healthcare sector continues to be the industry suffering one of the highest costs of a data security breach. Healthcare lags behind other industries in cybersecurity preparedness despite advances in cybersecurity technologies. Technical safeguards to protect electronic health records must be combined with human behavioral interventions to promote a robust cybersecurity plan. Using data from the United States Department of Health and Human Services, we conducted an exploratory analysis of past data breaches in healthcare organizations from January 2015 to December 2020 to explore the extent to which human elements played a role in data security incidents. We found that a vast majority of health records were compromised due to poor human security. The mean number of records affected by a breach due to unintentional insider threats is more than twice that of breaches caused by malicious intent such as external cyberattacks and theft. Our findings also indicate that, on average, more patient records are compromised from falling for a phishing scam than any other reason. We argue that proper cybersecurity contingency plans in healthcare must include human behavioral interventions that go beyond technical controls.

This case study describes use of health information technology for enhanced team-based care and care coordination between primary care providers and infectious disease specialists for curing and eventually eliminating hepatitis C in West Virginia. This program, the West Virginia Hepatitis Academic Mentoring Partnership, aims to improve outcomes of West Virginians with chronic hepatitis C infection by training and supporting primary care providers to screen, diagnose, evaluate, treat, cure, and follow patients in the community rather than referring them to distant specialists with long wait times. This initiative supports health equity by increasing access to quality care in severely under-resourced rural areas. Primary care providers engage with hepatitis C experts in a web-based training and mentoring process, combined with informatics training in use of a customized Research Electronic Data Capture (REDCAP) platform for secure data tracking and bidirectional communication. This use of an informatics platform available to all partners supports shared decision-making between primary care providers and specialists, fostering a primary care learning network for improved hepatitis C care in West Virginia.

Community pharmacies provide the convenience and ease of administrating vaccinations outside traditional settings. Vaccinations are health initiatives that protect communities and improve health outcomes in all populations. Despite their accessibility and supporting clinical data, various influential factors contribute to the current suboptimal rates of vaccine administration. Given the common barriers to vaccine administration, this research narrows down to address a specific barrier and attempts to implement a method that focuses on improving vaccine rates in community pharmacies. This research is a case study that utilizes the Define, Measure, Analyze, Improve, Control (DMAIC) model of Lean Six Sigma and aims to use this quality improvement process to identify, measure, analyze, and implement a training program to facilitate pharmacists in high-quality vaccine recommendations to promote higher rates of pneumococcal vaccinations in community settings.