Abstract
Comparison of treatment plans feasible through AI enabled multidisciplinary online tumor board solution versus NCCN-based clinical decision support system (CDSS)
Journal of clinical oncology, v 38(4_suppl), pp 816-816
01 Feb 2020
Abstract
Abstract only
816
Background: Multidisciplinary tumor boards at Academic Medical Centers (AMC) maximize cancer outcomes. Guidelines based CDSS are alternatives to determine care pathways. Since 2015, 300 AMC cancer experts in USA and India use an AI enabled online tumor board solution, “NAVYA,” to scale low cost access to multidisciplinary expertise, on 1-2 minutes of expert time per decision (ASCO 2017). Methods: GI patients who used NAVYA between 5/1/15-8/31/19 were analyzed. Actionable treatment plans generated by NAVYA were compared to NCCN. Actionable treatment plans include chemotherapy protocols (doses, frequencies), radiation protocols (sites, fractions), etc. Inactionable specialty level decisions (CT-RT vs. surgery) lack specificity. Results: 1302 patients (4638 treatment decisions) were analyzed: 61% (794) male, 80% between age 45 to 75, mostly with Colon, Pancreas, Gallbladder, Rectum, or Stomach cancer; 49.7% non-metastatic. Cohort was comparable to GLOBOCAN estimates. In 82.2% (3812/4638) decisions, NAVYA added value beyond NCCN. First, in 4.5% (212/4638), NAVYA recommended a patient-specific treatment plan that was not part of NCCN. Second, in 3.2% (148/4638), NAVYA recommended treatments plan for clinical scenarios not covered by NCCN, (for eg. 3rd line therapies). Third, in 74.5% (3452/4638), NAVYA used patient specific criteria including resource constraints and patient preference to choose a treatment plan amongst the multiple pathways provided by NCCN and added actionable treatment details. Conclusions: Guideline based CDSS are insufficient to make the vast majority of actionable treatment decisions. Scaling rapid access to multidisciplinary experts is critical. Leapfrogging existing guidelines based CDSS, NAVYA online tumor board makes actionable expert treatment plans possible at a large scale.
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Details
- Title
- Comparison of treatment plans feasible through AI enabled multidisciplinary online tumor board solution versus NCCN-based clinical decision support system (CDSS)
- Creators
- Bhawna Sirohi - National Cancer Grid, Mumbai, IndiaSushil Beriwal - University of Pittsburgh Medical CenterC. S. Pramesh - Tata Memorial HospitalSupriya Chopra - Advanced Centre for Treatment, Research and Education in CancerMahesh Goel - Tata Memorial HospitalAju Mathew - Markey Cancer CenterVikas S. Ostwal - Tata Memorial HospitalDurgatosh Pandey - National Cancer Grid, Mumbai, IndiaMalolan Sri Rajagopalan - UPMC Hillman Cancer CenterAnant Ramaswamy - Tata Memorial HospitalBj Sunil - National Cancer Grid, Mumbai, IndiaRajendra A. Badwe - Tata Memorial Hospital
- Publication Details
- Journal of clinical oncology, v 38(4_suppl), pp 816-816
- Resource Type
- Abstract
- Language
- English
- Academic Unit
- Radiation Oncology (and Nuclear Medicine)
- Other Identifier
- 991021897287904721