Integrated HTA-FMEA/FMECA methodology for the evaluation of robotic system in urology and general surgery

Applying the healthcare failure mode and effects analysis approach to improve the quality of an organised colorectal cancer screening programme

OBJECTIVE

The first level of a colorectal cancer (CRC) screening process was systematically analysed using the Healthcare Failure Mode and Effects Analysis (HFMEA) approach by a multidisciplinary team aiming to improve the programme quality.

SETTING

The study was conducted at the Local Health Authority of Bologna, Northern Italy.

METHODS

Seven brainstorming sessions were conducted and all the activities performed were recorded on a FMEA worksheet consisting of individual records reporting the specific phases of the analysed process along with associated activities, possible failure modes, their causes and effects, the obtained risk priority numbers (RPNs) and the control measures to plan.

RESULTS

Twenty-three failure modes, 14 effects and 12 possible causes were identified. Nine failure modes were prioritised according to the RPN obtained; most resulted in possible false-negative faecal immunochemical test (FIT) results (66.7%), followed by sample loss (22.2%) and not reaching the entire target population (11.1%). This leads to 66.7% of corrective/preventive actions being applied to the phase of returning the stool sample by the citizen. For this phase reorganisation, the local pharmacies were involved not only as FIT kit delivery points but also as specimen collection and sending points to the laboratory. These organisational changes allowed the introduction of complete traceability of kits and specimens flow, as well as temperature control. A re-evaluation of the prioritised failure modes 6 months after launching the implemented screening process showed that HFMEA application decreased the risk of potential errors by 75.9%.

CONCLUSION

HFMEA application in CRC screening programme is a useful tool to reduce potential errors.

Application of Failure Mode and Effects Analysis to Improve the Quality of the Front Page of Electronic Medical Records in China: Cross-Sectional Data Mapping Analysis

BACKGROUND

The completeness and accuracy of the front pages of electronic medical records (EMRs) are crucial for evaluating hospital performance and for health insurance payments to inpatients. However, the quality of the first page of EMRs in China's medical system is not satisfactory, which can be partly attributed to deficiencies in the EMR system. Failure mode and effects analysis (FMEA) is a proactive risk management tool that can be used to investigate the potential failure modes in an EMR system and analyze the possible consequences.

OBJECTIVE

The purpose of this study was to preemptively identify the potential failures of the EMR system in China and their causes and effects in order to prevent such failures from recurring. Further, we aimed to implement corresponding improvements to minimize system failure modes.

METHODS

From January 1, 2020, to May 31, 2022, 10 experts, including clinicians, engineers, administrators, and medical record coders, in Zhejiang People's Hospital conducted FMEA to improve the quality of the front page of the EMR. The completeness and accuracy of the front page and the risk priority numbers were compared before and after the implementation of specific improvement measures.

RESULTS

We identified 2 main processes and 6 subprocesses for improving the EMR system. We found that there were 13 potential failure modes, including data messaging errors, data completion errors, incomplete quality control, and coding errors. A questionnaire survey administered to random physicians and coders showed 7 major causes for these failure modes. Therefore, we established quality control rules for medical records and embedded them in the system. We also integrated the medical insurance system and the front page of the EMR on the same interface and established a set of intelligent front pages in the EMR management system. Further, we revamped the quality management systems such as communicating with physicians regularly and conducting special training seminars. The overall accuracy and integrity rate of the front page (P<.001) of the EMR increased significantly after implementation of the improvement measures, while the risk priority number decreased.

CONCLUSIONS

In this study, we were able to identify the potential failure modes in the front page of the EMR system by using the FMEA method and implement corresponding improvement measures in order to minimize recurring errors in the health care services in China.

Failure mode and effects analysis for proactive healthcare risk evaluation: A systematic literature review

RATIONALE, AIMS, AND OBJECTIVES

Failure mode and effects analysis (FMEA) is a valuable reliability management tool that can preemptively identify the potential failures of a system and assess their causes and effects, thereby preventing them from occurring. The use of FMEA in the healthcare setting has become increasingly popular over the last decade, being applied to a multitude of different areas. The objective of this study is to review comprehensively the literature regarding the application of FMEA for healthcare risk analysis.

METHODS

An extensive search was carried out in the scholarly databases of Scopus and PubMed, and we only chose the academic articles which used the FMEA technique to solve healthcare risk analysis problems. Furthermore, a bibliometric analysis was performed based on the number of citations, publication year, appeared journals, authors, and country of origin.

RESULTS

A total of 158 journal papers published over the period of 1998 to 2018 were extracted and reviewed. These publications were classified into four categories (ie, healthcare process, hospital management, hospital informatization, and medical equipment and production) according to the healthcare issues to be solved, and analyzed regarding the application fields and the utilized FMEA methods.

CONCLUSION

FMEA has high practicality for healthcare quality improvement and error reduction and has been prevalently employed to improve healthcare processes in hospitals. This research supports academics and practitioners in effectively adopting the FMEA tool to proactively reduce healthcare risks and increase patient safety, and provides an insight into its state-of-the-art.