The Burden of Data Fragmentation in Melanoma Care

An efficient melanoma treatment workflow is critical for delivering timely oncology care. However, modern clinical information systems (IS) often introduce significant administrative hurdles. A recent qualitative study has mapped the physician's cognitive journey during tumor board registration. To begin with, the researchers identified that clinicians spend a disproportionate amount of time navigating fragmented data. Specifically, physicians spend approximately 55% of their total workflow time on manual data compilation and system interactions rather than actual clinical decision-making.

During the study, dermatologists required an average of 13 minutes to register a single patient for a tumor board. Consequently, this time-intensive process involved switching between multiple programs over 25 times. Such frequent transitions disrupt the physician's focus. Moreover, the study highlighted that simple data retrieval often requires at least 16 distinct interactions within the hospital IS. As a result, the primary clinical objective—deciding the best course of treatment—is frequently delayed by technical friction.

Identifying Pain Points in the Melanoma Treatment Workflow

To improve the melanoma treatment workflow, we must first address the specific technical barriers identified by the research. The analysis pinpointed seven fundamental pain points that hinder productivity. These include the need for multiple system instances and the lack of simultaneous viewing options. Furthermore, clinicians often resort to external text editors for case summaries because the native input fields are inappropriate for complex oncology reporting. This workaround accounts for nearly 28% of the total workflow time.

In addition, the hierarchical nature of clinical data requires physicians to dig through nested submodules. Therefore, relevant information like radiology reports, laboratory values, and previous tumor board protocols are often buried deep within the system. Notably, the updating phase of the workflow showed the highest variability. Clinicians must manually hunt for updates in a non-linear fashion, which increases the risk of information oversight. Ultimately, these findings suggest that current systems do not align with the physician’s cognitive task conceptualization.

Improving Efficiency at the Point of Care

Addressing these inefficiencies is essential for reducing physician burnout and enhancing patient safety. By designing user-centered dashboards, developers can present relevant data more effectively. Furthermore, reducing the need for repetitive data entry could save up to 27% of a physician's time. Consequently, better-integrated systems would allow dermatologists and oncologists to focus on high-level clinical reasoning. Transitioning toward interoperable and intuitive interfaces is no longer optional in the era of digital health.

Frequently Asked Questions

Why does the current melanoma treatment workflow take so long?

The workflow is lengthy primarily due to data fragmentation. Physicians must extract information from various reports and nested submodules, leading to an average registration time of 13 minutes per patient.

What are the biggest technical hurdles for clinicians?

The major hurdles include repetitive data insertion, time-intensive logins, and the inability to view different data types simultaneously on one screen, forcing the use of external workarounds.

How can software better support oncology tumor boards?

Software can better support workflows by organizing data according to the physician’s actual work steps, reducing the number of required interactions, and providing integrated text editors for case summaries.

Disclaimer: This content is for informational and educational purposes only and does not constitute medical advice or a professional recommendation. Refer to the latest local and national guidelines for clinical practice.

References

Hartmann EM et al. Revealing the Physician's Task Conceptualization in Melanoma Treatment: Qualitative User Experience Study. JMIR Cancer. 2026 Mar 02. doi: 10.2196/79294. PMID: 41770590.

Sinsky C, Colligan L, Li L, et al. Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties. Ann Intern Med. 2016;165(11):753-760.

National Health Authority. Ayushman Bharat Digital Mission (ABDM) - Strategy and Guidelines. Ministry of Health and Family Welfare, Government of India. 2024.