Imaging Decision Support Does Not Drive Out-of-Network Leakage of Referred Imaging

Improved Network Integrity and Patient Follow-up After In-Office Needle Arthroscopy Compared to Outpatient Advanced Diagnostic Imaging for Intra-articular Pathology

Purpose

To evaluate network integrity for diagnostic testing and patient follow-up comparing in-office needle arthroscopy and outpatient advanced diagnostic imaging for intra-articular pathology.

Methods

A retrospective chart review was performed to identify patients who were indicated for either in-office needle arthroscopy (IONA) or outpatient advanced diagnostic imaging (OADI). Current Procedural Terminology (CPT) codes 29870 and 29805 with place of service modifier 11 were used to identify patients who underwent IONA of the knee and shoulder, respectively, between January 2020 and March 2023. CPT codes 73721-3 and 73221-3 were utilized to identify patients indicated for outpatient advanced magnetic resonance imaging of the knee or shoulder. All patients who were indicated for the procedure and denied by the insurance were identified and recorded. Inclusion criteria consisted of patients older than 18 years with suspected intra-articular pathology who had failed conservative treatment. Exclusion criteria included patients younger than 18 years, non-English speaking, or those who failed to follow up due to death. The location of where the imaging was performed was recorded (within the health system vs an unaffiliated center). Additionally, patient follow-up with the provider after the diagnostic testing was indicated was recorded.

Results

Two separate groups of 100 consecutive patients who were indicated for IONA or OADI were identified and retrospectively chart reviewed. Ninety-four percent of the IONA patients underwent the procedure after it was indicated within the physician office. Sixty-eight percent underwent the procedure the day they were indicated for the procedure. All 94 patients were deemed to have a follow-up with a definitive plan of care after the procedure. Eighty-seven percent of the OADI patients completed their ordered testing. Sixty-two percent (54/87) of the patients had the study performed at one of the primary hospital-affiliated imaging centers. Thirty-eight percent of the studies (33/87) were deemed to have leaked from the system. Of the 87 patients who had the imaging performed, 79% (69/87) had a definitive treatment plan rendered with the lead author (S.M.) based on the imaging results. Twenty-one percent (18/87) of the patients who underwent imaging did not follow up with the treating provider or show for a scheduled follow-up appointment. Nineteen percent (13/69) of the patients who had a definite treatment plan rendered did not come into the office for their results but requested and received them over the phone from the provider. The IONA cohort demonstrated statistically significant (P < .001) network integrity in terms of location of service remaining within the system compared to the OADI group. Furthermore, patient follow-up for definitive treatment plans after IONA was also higher (P < .001) than in the OADI group.

Conclusions

IONA results in greater network integrity and patient follow-up compared to conventional imaging.

Clinical Relevance

In-office needle arthroscopy performed for the diagnosis of intra-articular pathology may offer a valuable clinical diagnostic tool while providing a meaningful avenue for network integrity and patient retention.

Features and functions of decision support systems for appropriate diagnostic imaging: a scoping review

BACKGROUND

Diagnostic imaging decision support (DI-DS) systems could be effective tools for reducing inappropriate diagnostic imaging examinations. Since effective design and evaluation of these systems requires in-depth understanding of their features and functions, the present study aims to map the existing literature on DI-DS systems to identify features and functions of these systems.

METHODS

The search was performed using Scopus, Embase, PubMed, Web of Science, and Cochrane Central Registry of Controlled Trials (CENTRAL) and was limited to 2000 to 2021. Analytical studies, descriptive studies, reviews and book chapters that explicitly addressed the functions or features of DI-DS systems were included.

RESULTS

A total of 6,046 studies were identified. Out of these, 55 studies met the inclusion criteria. From these, 22 functions and 22 features were identified. Some of the identified features were: visibility, content chunking/grouping, deployed as a multidisciplinary program, clinically valid and relevant feedback, embedding current evidence, and targeted recommendations. And, some of the identified functions were: displaying an appropriateness score, recommending alternative or more appropriate imaging examination(s), providing recommendations for next diagnostic steps, and providing safety alerts.

CONCLUSIONS

The set of features and functions obtained in the present study can provide a basis for developing well-designed DI-DS systems, which could help to improve adherence to diagnostic imaging guidelines, minimize unnecessary costs, and improve the outcome of care through appropriate diagnosis and on-time care delivery.

Neuroimaging Wisely

Diagnostic imaging is the most rapidly growing physician service in the Medicare and privately insured population. The growing share of medical costs devoted to imaging procedures has led to increasing concerns among the key federal agencies and private payers. In an attempt to educate health care providers, patients, and families on the importance of making optimal clinical decisions, the American Board of Internal Medicine Foundation organized the Choosing Wisely initiative with strong collaboration from specialty societies representing nearly all medical disciplines. Among 45 tests and treatments listed on the Choosing Wisely Web site, 24 are directly related to imaging. Eleven of the 24 are associated with neuroimaging. The listing of imaging tests in the Choosing Wisely program by multiple medical societies other than the radiology societies acknowledges that appropriate use of medical imaging is a shared responsibility between radiologists and referring physicians. In this article, we highlight why radiologists are uniquely positioned to support the appropriate use of imaging. We review some of the strategies that radiologists can use to help their referring physicians with appropriate ordering of neuroimaging in real-world practice and address some the challenges and pitfalls in implementing patient-centered imaging decision-making and shifting to a value-based focus in radiology.