Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster display session: Breast cancer - early stage, locally advanced & metastatic, CNS tumours, Developmental therapeutics, Genitourinary tumours - prostate & non-prostate, Palliative care, Psycho-oncology, Public health policy, Sarcoma, Supportive care

3504 - Are treatment recommendations provided by cognitive computing supported by real world data (Watson for Oncology with Cota RWE) concordant with expert opinions?

Date

22 Oct 2018

Session

Poster display session: Breast cancer - early stage, locally advanced & metastatic, CNS tumours, Developmental therapeutics, Genitourinary tumours - prostate & non-prostate, Palliative care, Psycho-oncology, Public health policy, Sarcoma, Supportive care

Topics

Translational Research

Tumour Site

Presenters

Deena Atieh Graham

Citation

Annals of Oncology (2018) 29 (suppl_8): viii562-viii575. 10.1093/annonc/mdy297

Authors

D.M. Atieh Graham1, D.M. McNamara1, S.E. Waintraub1, S.L. Goldberg2, A.D. Norden2, J. Hervey2, A.L. Pecora2, C. Landstrom2, J.L. Snowdon3, P.M. Francis3, N. Jungbluth3, C.K. Wang3, L. Latts3

Author affiliations

  • 1 Breast Oncology, John Theurer Cancer Center, 07601 - Hackensack/US
  • 2 Cota, Inc, 10004 - New York/US
  • 3 Watson Health, IBM, 02142 - Cambridge/US
More

Resources

Abstract 3504

Background

Treatment selection requires review of patient (pt) and clinical features, medical literature, national guidelines, physician experience, and cost-value issues. The IBM Watson for Oncology with Cota RWE (WfO/Cota) point-of-care decision support tool ingests pt attributes from electronic health records and displays treatment recommendations (TRx) based on Memorial Sloan Kettering Cancer Center training and medical literature. The system has been recently supplemented with real world data curated by Cota listing historical treatments and survival outcomes drawn from the treating physician’s institution and a national database. WfO/Cota is undergoing testing at John Theurer Cancer Center (JTCC, Hackensack, NJ, USA). Concordance of WfO/Cota with expert opinions is required to confirm that cognitive computing TRx match best practices.

Methods

88 early stage post-menopausal breast cancer (BC) cases from the JTCC BC clinic were presented to 3 JTCC BC experts (without using WfO/Cota). The cases were compared against pts with similar demographic and disease characteristics from the Cota database (matched using Cota Nodal Address [CNA] algorithms).

Results

BC experts reviewed 223 cases (not all cases scored by each). WfO/Cota “recommended” option was concordant with selection by BC experts in 175 (78.5%) and “for consideration” option was selected in 21 (9.4%); experts agreed with WfO/Cota in 87.9%. 7 of 88 cases (8%) generated 59% of non-concordant responses with > =2 doctors disagreeing with WfO. The BC expert who worked at MSKCC deviated the least from MSKCC trained WfO. In the Cota database 69.3% of matched historical controls were treated with “recommended,” 11.4% “for consideration”, 19.3% “not recommended.”

Conclusions

WfO/Cota recommendations are largely concordant with disease expert best oncology practices. The observation that nearly a fifth of pts with similar disease (CNA) characteristics received non-recommended options in a real world database highlights a need. WfO/Cota is an innovative decision support tool that derives new insights based on existing real world evidence to reduce variations in practice.

Clinical trial identification

Legal entity responsible for the study

Cota.

Funding

IBM, Cota.

Editorial Acknowledgement

Disclosure

S.L. Goldberg: Cota: Employment, stock ownership. A.D. Norden, J. Hervey, C. Landstrom: Cota: Employment. A.L. Pecora: Cota: Stock ownership. J.L. Snowdon, P.M. Francis, N. Jungbluth, C.K. Wang, L. Latts: IBM: Employment. All other authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.