Review Article
Volume 10 Issue 5 - 2021
Breast Cancer Management and Coordination Using Artificial Intelligence
Elizabeth Charlotte Moser1*, Meric Mericliler2,3 and Gayatri Narayan1
1UM-AI LLC Coordinator Research, 8 The Green, Dover, DE, USA
2Department of Medicine, St. Elizabeth’s Medical Center, Boston, MA, USA
3Tufts University School of Medicine, Boston, MA, USA
*Corresponding Author: Elizabeth Charlotte Moser, UM-AI LLC Coordinator Research, 8 The Green, Dover, DE, USA.
Received: May 29, 2020; Published: April 16, 2021




Abstract

Breast cancer care is complex and requires a continuous interaction between patients, primary care providers and specialists. Communication among these providers is crucial for timely treatment, monitoring treatment compliance and adverse outcomes, as well as management of comorbidities. The director role of care management is; however, often unclear, and patient care gets fragmented along the course of treatment and worse in follow-up. Multidisciplinary team meetings play a central role in care planning and structured data collection. Nurse navigators can also play a crucial role in care allocation and guidance, becoming the pivotal determinant of breast cancer care. Here, automatic artificial intelligence (AI) driven planning and symptom tracking can facilitate their tasks, however, human intervention continues to remain vital to account for unexpected emergencies and psychosocial support. Unfortunately, collection of patient data and allocation of patients are often done by hand and across disorganized data sets, as system solutions are limited in crossing care providers. Collection of disease-specific outcome data and adverse effects is essential for predictive tool development. Sharing data among specialist and primary care providers enforces accurate allocation and tailoring, moreover, can solve challenges related to scarce resources, distance and costs. AI-enhanced tools can only be developed and support a well-coordinated, patient-centred cancer care system. In the real world, effective communication and data collection across care-providers is challenging in the current healthcare system.

Herein, we address the role of information technology and AI and discuss potential barriers in cancer care.

Keywords: Artificial Intelligence; Breast Cancer; Predictive Tools; Care Coordination; Symptom Management 

References

  1. American Cancer Society. Treatment Clinical Trials for Breast Cancer - National Cancer Institute (2020).
  2. Amir Ofra., et al. “AI Support of Teamwork for Coordinated Care of Children with Complex Conditions (2014).
  3. Artificial Intelligence in Medicine. PubMed-NCBI (2020).
  4. Basch Ethan Xiaoyu Jia., et al. “Adverse Symptom Event Reporting by Patients vs Clinicians: Relationships with Clinical Outcomes”. Journal of the National Cancer Institute 23 (2009): 1624-1632.
  5. Basch Ethan Allison M Deal., et al. “Overall Survival Results of a Trial Assessing Patient-Reported Outcomes for Symptom Monitoring during Routine Cancer Treatment”. JAMA - Journal of the American Medical Association 2 (2017): 197-198.
  6. Basch Ethan and Amy P Abernethy. “Supporting Clinical Practice Decisions with Real-Time Patient-Reported Outcomes”. Journal of Clinical Oncology 8 (2011): 954-956.
  7. Baseman Janet., et al. “A Mobile Breast Cancer Survivorship Care App: Pilot Study”. JMIR Cancer 2 (2017): e14.
  8. Basile Anna O., et al. “Artificial Intelligence for Drug Toxicity and Safety”. Trends in Pharmacological Sciences 9 (2019): 624-635.
  9. Bental Diana S., et al. “Patient Information Systems That Tailor to the Individual”. Patient Education and Counseling 2 (1999): 171-180.
  10. Bickmore Timothy W., et al. “Patient and Consumer Safety Risks When Using Conversational Assistants for Medical Information: An Observational Study of Siri, Alexa, and Google Assistant”. Journal of Medical Internet Research9 (2018): e11510.
  11. Bluethmann Shirley M., et al. “Anticipating the ‘Silver Tsunami’: Prevalence Trajectories and Comorbidity Burden among Older Cancer Survivors in the United States”. Cancer Epidemiology Biomarkers and Prevention (2016): 1029-1036.
  12. Brooks Gabriel A., et al. “A Clinical Prediction Model to Assess Risk for Chemotherapy-Related Hospitalization in Patients Initiating Palliative Chemotherapy”. JAMA Oncology4 (2015): 441-447.
  13. Bucur Anca., et al. “Workflow-Driven Clinical Decision Support for Personalized Oncology”. BMC Medical Informatics and Decision Making”. BioMed Central Ltd2 (2016): 87.
  14. Carter Stacy M., et al. “The Ethical, Legal and Social Implications of Using Artificial Intelligence Systems in Breast Cancer Care”. Breast Churchill Livingstone 49 (2020): 25-32.
  15. Chan Heang Ping., et al. “CAD and AI for Breast Cancer-Recent Development and Challenges”. The British Journal of Radiology1108 (2020): 20190580.
  16. Chou Chiahung., et al. “How Comfortable Are Primary Care Physicians and Oncologists Prescribing Medications for Comorbidities in Patients with Cancer?” Research in Social and Administrative Pharmacy, Elsevier Inc (2019).
  17. Cimino James J. “The False Security of Blind Dates: Chrononymization’s Lack of Impact on Data Privacy of Laboratory Data”. Applied Clinical Informatics4 (2012): 392-403.
  18. Clauser Steven B., et al. “Improving Modern Cancer Care through Information Technology”. American Journal of Preventive Medicine52 (2011).
  19. Collins Ian M., et al. “IPrevent®: A Tailored, Web-Based, Decision Support Tool for Breast Cancer Risk Assessment and Management”. Breast Cancer Research and Treatment1 (2016): 171-182.
  20. Davenport Thomas and Ravi Kalakota. “The Potential for Artificial Intelligence in Healthcare”. Future Healthcare Journal 6.2 (2019): 94-98.
  21. Sara J Singer., et al. “Defining and Measuring Integrated Patient Care: Promoting the Next Frontier in Health Care Delivery Rosenthal, Lucian Leape, Eric Schneider, (2011).
  22. DeSantis Carol E., et al. “Breast Cancer Statistics, 2019”. CA: A Cancer Journal for Clinicians6 (2019): 438-451.
  23. Dhahri Habib., et al. “Automated Breast Cancer Diagnosis Based on Machine Learning Algorithms”. Journal of Healthcare Engineering (2019).
  24. Dowding Dawn., et al. “Nurses’ Use of Computerised Clinical Decision Support Systems: A Case Site Analysis”. Journal of Clinical Nursing8 (2009): 1159-1167.
  25. Edwards Brenda K., et al. “Annual Report to the Nation on the Status of Cancer, 1975-2010, Featuring Prevalence of Comorbidity and Impact on Survival among Persons with Lung, Colorectal, Breast, or Prostate Cancer”. Cancer9 (2014):1290-1314.
  26. Elfiky Aymen A., et al. “Development and Application of a Machine Learning Approach to Assess Short-Term Mortality Risk Among Patients With Cancer Starting Chemotherapy”. JAMA Network Open3 (2018): e180926.
  27. Ergu Daji., et al. “Analytic Network Process in Risk Assessment and Decision Analysis”. Computers and Operations Research 42 (2014): 58-74.
  28. Fogel Alexander L and Joseph C Kvedar. “Artificial Intelligence Powers Digital Medicine”. Npj Digital Medicine Springer Science and Business Media 1 (2018): 1-4.
  29. Frasier Lane L., et al. “Leveraging Comparative Effectiveness Research to Improve the Quality of Multidisciplinary Care for Breast Cancer Patients”. Cancer Treatment and Research 164 (2015): 15-30.
  30. Frasier Lane L., et al. “Leveraging Comparative Effectiveness Research to Improve the Quality of Multidisciplinary Care for Breast Cancer Patients”. Cancer Treatment and Research Kluwer Academic Publishers 164 (2015): 15-30.
  31. Garfinkel Simson L. De-Identification of Personal Information.
  32. Gorin Sherri Sheinfeld., et al. “Cancer Care Coordination: A Systematic Review and Meta-Analysis of Over 30 Years of Empirical Studies”. Annals of Behavioral Medicine4 (2017): 532-546.
  33. “Cancer Care Coordination: A Systematic Review and Meta-Analysis of Over 30 Years of Empirical Studies”. Annals of Behavioral Medicine4 (2017): 532-546.
  34. Gurney Jason., et al. “The Impact of Patient Comorbidity on Cancer Stage at Diagnosis”. British Journal of Cancer 9 (2015):1375-1380.
  35. Haux R., et al. “Health-Enabling and Ambient Assistive Technologies: Past, Present, Future”. Yearbook of Medical Informatics 1 (2016): S76-91.
  36. Henriksson Aron., et al. “Synonym Extraction and Abbreviation Expansion with Ensembles of Semantic Spaces”. Journal of Biomedical Semantics 1 (2014): 6.
  37. Hripcsak George., et al. “Preserving Temporal Relations in Clinical Data While Maintaining Privacy”. Journal of the American Medical Informatics Association 6 (2016): 1040-1045.
  38. Improving Adherence and Outcomes by Artificial Intelligence-Adapted Text Messages (Michigan) | AHRQ Digital Healthcare Research: Informing Improvement in Care Quality, Safety, and Efficiency (2020).
  39. Kann Benjamin H., et al. “Artificial Intelligence in Oncology: Current Applications and Future Directions”. Oncology 2 (2019): 46-53.
  40. Kantarjian Hagop and Peter Paul Yu. “Artificial Intelligence, Big Data, and Cancer”. JAMA Oncology5 (2015): 573-574.
  41. Khalifa Mohamed. “Clinical Decision Support: Strategies for Success”. Procedia Computer Science 37 (2014): 422-427.
  42. Kilbourne Amy M., et al. “A Research Agenda for Care Coordination for Chronic Con-Ditions: Aligning Implementation, Technology, and Policy Strategies (2018).
  43. Kralj Boris., et al. “The Impact of Computerized Clinical Reminders on Physician Prescribing Behavior: Evidence from Community Oncology Practice”. American Journal of Medical Quality5 (2003): 197-203.
  44. Kroenke Candyce H., et al. “Social Networks, Social Support Mechanisms, and Quality of Life after Breast Cancer Diagnosis”. Breast Cancer Research and Treatment 2 (2013): 515-527.
  45. Kukafka Rita., et al. “Pilot Study of Decision Support Tools on Breast Cancer Chemoprevention for High-Risk Women and Healthcare Providers in the Primary Care Setting”. BMC Medical Informatics and Decision Making 1 (2018): 134.
  46. Labovitz Daniel L., et al. “Using Artificial Intelligence to Reduce the Risk of Nonadherence in Patients on Anticoagulation Therapy”. Stroke5 (2017): 1416-1419.
  47. Leclerc Anne France., et al. “Multidisciplinary Management of Breast Cancer”. Archives of Public Health 1 (2016).
  48. Lee Hyukki., et al. “Utility-Preserving Anonymization for Health Data Publishing”. BMC Medical Informatics and Decision Making1 (2017): 104.
  49. Lee Simon J Craddock., et al. “Care Coordination for Complex Cancer Survivors in an Integrated Safety-Net System: A Study Protocol 11 Medical and Health Sciences 1117 Public Health and Health Services 11 Medical and Health Sciences 1110 Nursing”. BMC Cancer1 (2018): 1-10.
  50. Levine Mark N., et al. “Learning Health System for Breast Cancer: Pilot Project Experience”. JCO Clinical Cancer Informatics 3 (2019): 1-11.
  51. Li Dan Ping., et al. “A Novel Financial Risk Assessment Model for Companies Based on Heterogeneous Information and Aggregated Historical Data”. PLoS ONE12 (2018): e0208166.
  52. Liu Ning., et al. “Semi-Supervised Learning Algorithm for Identifying High-Priority Drug-Drug Interactions through Adverse Event Reports”. IEEE Journal of Biomedical and Health Informatics1 (2020): 57-68.
  53. Liyanage Harshana., et al. “Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges”. Yearbook of Medical Informatics1 (2019): 41-46.
  54. Matheson Rob. “Artificial Intelligence Model “Learns” from Patient Data to Make Cancer Treatment Less Toxic (2018): 0-3.
  55. Mazo Claudia., et al. “Clinical Decision Support Systems in Breast Cancer: A Systematic Review”. Cancers2 (2020).
  56. McAlearney Ann Scheck., et al. “The Challenge of Improving Breast Cancer Care Coordination in Safety-Net Hospitals Barriers, Facilitators, and Opportunities”. Medical Care2 (2016): 147-154.
  57. McCann L., et al. “Patients’ Perceptions and Experiences of Using a Mobile Phone-Based Advanced Symptom Management System (ASyMS ©) to Monitor and Manage Chemotherapy Related Toxicity”. European Journal of Cancer Care2 (2009): 156-164.
  58. Mühlbauer Viktoria., et al. “Communicating Prognosis to Women with Early Breast Cancer - Overview of Prediction Tools and the Development and Pilot Testing of a Decision Aid”. BMC Health Services Research1 (2019).
  59. (No Title). https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/cancer-treatment-and-survivorship-facts-and-figures/cancer-treatment-and-survivorship-facts-and-figures-2019-2021.pdf
  60. Parikh Ravi B., et al. “Using Big Data and Predictive Analytics to Determine Patient Risk in Oncology”. American Society of Clinical Oncology Educational Book 39 (2019): e53-58.
  61. Pautasso Fernanda Felipe., et al. “Atuação Do Nurse Navigator: Revisão Integrativa”. Revista Gaucha de Enfermagem 39 (2018): e20170102.
  62. “Role of the Nurse Navigator: Integrative Review”. Revista Gaucha de Enfermagem 39 (2018): e20170102.
  63. Petrovski Andrei., et al. “Optimising Cancer Chemotherapy Using an Estimation of Distribution Algorithm and Genetic Algorithms”. GECCO 2006 - Genetic and Evolutionary Computation Conference, 1 (2006): 413-418.
  64. Piette John D., et al. “Patient-Centered Pain Care Using Artificial Intelligence and Mobile Health Tools: Protocol for a Randomized Study Funded by the US Department of Veterans Affairs Health Services Research and Development Program”. JMIR Research Protocols2 (2016): e53.
  65. Poudel Pawan., et al. “Heterocellular Gene Signatures Reveal Luminal-A Breast Cancer Heterogeneity and Differential Therapeutic Responses”. Npj Breast Cancer1 (2019): 1-10.
  66. Ruland Cornelia M., et al. “Effects of a Computer-Supported Interactive Tailored Patient Assessment Tool on Patient Care, Symptom Distress, and Patients’ Need for Symptom Management Support: A Randomized Clinical Trial”. Journal of the American Medical Informatics Association4 (2010): 403-410.
  67. Sarfati Diana., et al. “A Retrospective Cohort Study of Patients with Stomach and Liver Cancers: The Impact of Comorbidity and Ethnicity on Cancer Care and Outcomes”. BMC Cancer1 (2014).
  68. Schedlbauer Angela., et al. “What Evidence Supports the Use of Computerized Alerts and Prompts to Improve Clinicians’ Prescribing Behavior?” Journal of the American Medical Informatics Association4 (2009): 531-538.
  69. Schmitz Kathryn H., et al. “Adverse Breast Cancer Treatment Effects: The Economic Case for Making Rehabilitative Programs Standard of Care”. Supportive Care in Cancer6 (2015): 1807-1817.
  70. Schneider Eric., et al. “Defining and Measuring Integrated Patient Care: Promoting the Next Frontier in Health Care Delivery”. Medical Care Research and Review1 (2011): 112-127.
  71. “Defining and Measuring Integrated Patient Care: Promoting the Next Frontier in Health Care Delivery”. Medical Care Research and Review1 (2011):112-127.
  72. Séroussi Brigitte., et al. “Reconciliation of Multiple Guidelines for Decision Support: A Case Study on the Multidisciplinary Management of Breast Cancer within the DESIREE Project”. AMIA ... Annual Symposium Proceedings. AMIA Symposium 2017 (2017): 1527-1536.
  73. Shao J., et al. “Multidisciplinary Care of Breast Cancer Patients: A Scoping Review of Multidisciplinary Styles, Processes, and Outcomes”. Current Oncology3 (2019): e385-397.
  74. Sinsky Christine., et al. “Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties”. Annals of Internal Medicine11 (2016): 753-760.
  75. Sinsky Christine A., et al. “Metrics for Assessing Physician Activity Using Electronic Health Record Log Data”. Journal of the American Medical Informatics Association: JAMIA4 (2020): 639-643.
  76. Sisler Jeffrey., et al. “Suivi Après Le Traitement Du Cancer Du Sein: Guide Pratique Des Soins Aux Survivantes à l’intention Des Médecins de Famille”. Canadian Family Physician10 (2016).
  77. Statement from FDA Commissioner Scott Gottlieb, M.D., on FDA’s New Strategic Framework to Advance Use of Real-World Evidence to Support Development of Drugs and Biologics | FDA (2020).
  78. Sutton Reed T., et al. “An Overview of Clinical Decision Support Systems: Benefits, Risks, and Strategies for Success”. Npj Digital Medicine1 (2020): 1-10.
  79. Terstriep Shelby A.., et al. “Use of Remote Symptom Monitoring with Breast Cancer Survivors Using Patient-Reported Outcome (PRO) Measures in MyChart”. Journal of Clinical Oncology15 (2019): e23125-e23125.
  80. Trevillion Kris., et al. “An Evaluation Report of the Nurse Navigator Services for the Breast Cancer Support Program”. Canadian Oncology Nursing Journal4 (2015): 409-414.
  81. Walsh Jennifer., et al. “What Are the Current Barriers to Effective Cancer Care Coordination? A Qualitative Study”. BMC Health Services Research1 (2010): 132.
  82. Warrington Lorraine., et al. “Online Tool for Monitoring Adverse Events in Patients with Cancer during Treatment (ERAPID): Field Testing in a Clinical Setting”. BMJ Open1 (2019): e025185.
  83. Weaver Sallie J., et al. “Unpacking Care Coordination Through a Multiteam System Lens”. Medical Care3 (2018): 247-259.
  84. Weaver Sallie J and Paul B Jacobsen. “Cancer Care Coordination: Opportunities for Healthcare Delivery Research”. Translational Behavioral Medicine3 (2018): 503-508.
  85. Wu Tao., et al. “Active Monitoring of Adverse Drug Reactions with Neural Network Technology”. Chinese Medical Journal12 (2017): 1498-1501.
  86. Yadav S and S Mishra. “Longitudinal Trial of a Smart Phone Application for Tele–Follow-Up of Thyroid Cancer Patients in Context of a Developing Country: Compliance, Satisfaction and Cost-Benefit Analysis”. Journal of Global Oncology (2018).
  87. Yin Zhijun., et al. “The Therapy Is Making Me Sick: How Online Portal Communications between Breast Cancer Patients and Physicians Indicate Medication Discontinuation”. Journal of the American Medical Informatics Association11 (2018): 1444-1451.
  88. Zhang Yijia., et al. “BioWordVec, Improving Biomedical Word Embeddings with Subword Information and MeSH”. Scientific Data1 (2019): 52.
Citation: Elizabeth Charlotte Moser., et al. “Breast Cancer Management and Coordination Using Artificial Intelligence”. EC Gynaecology 10.5 (2021): 71-83.

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