Abstract 4503
Background
NAVYA is a validated online cancer informatics solution that combines artificial intelligence (AI) and rapid review (2 mins/case) by multi-disciplinary tumor board experts at Academic Medical Centers (AMC) to deliver multidisciplinary expert treatment plan to patients within 24 hours. Initially developed for patients in India without ready access to expertise, over 28,000 patients across 68 countries have since reached out to NAVYA. Prior research (SABCS and ASCO 2014-2018) showed, 1) 97% concordance of NAVYA with an AMC in India and in the US 2) 97% of patients experienced significant anxiety relief due to 24 hours turnaround time. NAVYA scales access to expertise unlike the limitations of synchronized 1 patient: 1 doctor consults in telemedicine.
Methods
Three patient centered outcomes (travel distance, cost and time to receive expert treatment plan) were studied. All consecutive patients who reached out to NAVYA between 1/1/17-1/31/19 but ultimately opted for in-person visit to an AMC were contacted by prospective phone follow up. This was compared to a numerically balanced random sample of patients who only used NAVYA to obtain treatment plans.
Results
Prospective phone follow-ups with 902 in-person patients and 901 NAVYA patients were analyzed. The groups did not differ significantly in demographics or disease characteristics. In-person patients and NAVYA patients differed significantly with respect to 1) median travel distance (761 miles, IQR (152 -1083 miles) vs. 0 miles (p < 0.05)) 2) travel related costs of $1250 [95% CI +/- $54.5] vs $105 online processing fee 3) total time to receipt of treatment plan (4.66 days, IQR (0.4 - 20.3 days) vs. 1.04 day IQR (0.4-2.5) (p < 0.05)).
Conclusions
Cancer informatics solutions that combine AI with human clinical expertise to generate multidisciplinary treatment plans tailored to an individual patient, and vetted by experts at AMC, scale ready access to expertise around the world. For patients with limited access to AMC, such solutions eliminate travel burden, and significantly reduce cost and wait time. This has significant implications for creating access to specialty expertise, globally.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
4543 - Long-term real-world (RW) outcomes in patients with advanced melanoma (MEL) treated with ipilimumab (IPI) and non-IPI therapies: IMAGE study
Presenter: Stéphane Dalle
Session: Poster Display session 3
Resources:
Abstract
4523 - Prognostic Factors for efficacy of Ipilimumab used after AntiPD1 and/or BRAF+MEK inhibitors in Melanoma Patients: an Italian Melanoma Intergroup study
Presenter: Riccardo Marconcini
Session: Poster Display session 3
Resources:
Abstract
3632 - Rechallenge with combination ipilimumab and anti-PD-1 (IPI+PD1) in metastatic melanoma after acquired resistance to IPI+PD1 immunotherapy
Presenter: Adriana Hepner
Session: Poster Display session 3
Resources:
Abstract
3732 - Clinicopathologic characteristics of immune colitis in melanoma patients treated with combination ipilimumab and anti-PD1 (IPI+PD1) and PD1 monotherapy.
Presenter: Kazi Nahar
Session: Poster Display session 3
Resources:
Abstract
5005 - Real-world outcomes of ipilimumab plus nivolumab for advanced melanoma in the Netherlands
Presenter: Michiel van Zeijl
Session: Poster Display session 3
Resources:
Abstract
5524 - Utilization of Real-World Data to Assess the Effectiveness of Immune Checkpoint Inhibitors (ICIs) in Elderly Patients with Metastatic Melanoma
Presenter: D Scott Ernst
Session: Poster Display session 3
Resources:
Abstract
5884 - Tumor mutational burden and response to PD-1 inhibitors: an analysis of 89 cases of metastatic melanoma.
Presenter: Léa Dousset
Session: Poster Display session 3
Resources:
Abstract
3120 - Increase in S100B and LDH as early outcome predictors for non-responsiveness to anti-PD-1 monotherapy in advanced melanoma.
Presenter: Elisa Rozeman
Session: Poster Display session 3
Resources:
Abstract
2157 - Immune status defined by molecular information layers predicts response to pembrolizumab treatment in advanced melanoma
Presenter: Guillermo Prado-Vázquez
Session: Poster Display session 3
Resources:
Abstract
2553 - Interim analysis of a phase Ib study of cobimetinib plus atezolizumab in patients with advanced BRAFV600 wild type melanoma progressing on prior anti-PD-L1 therapy
Presenter: Shahneen Sandhu
Session: Poster Display session 3
Resources:
Abstract