How leaders from the top pharma companies perceive artificial intelligence?

How leaders from the top pharma companies perceive artificial intelligence?

In the exciting world of healthcare, Artificial Intelligence (AI) plays a pivotal role in transforming medical care. Through our podcast "AI Heroes," we've had the privilege of exploring this revolution alongside leading companies in the industry, such as Novartis, Sanofi, AstraZeneca, Pfizer, Boston Scientific, and Baxter International Inc., among others.

What did we learn?

Hernán Darío Betancur Cadavid , LATAM Cluster Head at Baxter International Inc. , guides us through implementing AI in a healthcare company. It is an essential conversation for those looking to venture into this field.

Baxter has utilized AI to enhance the programming of smart infusion pumps, as demonstrated in a retrospective study. The study illustrated how machine learning, through algorithms, can support clinical decision-making by optimizing safety in the programming of these pumps, which use dose error reduction systems (DERS).

AI identified unusual infusions and outliers in the programming, some of which triggered safety limits (DERS), while others did not due to parameters within the soft limits. The results suggest that machine learning can be a valuable tool for developing more clinically relevant DERS limits and improving the safety of infusions in hospital settings.

Leadership in the Age of AI

Sandra M. Cabezas , President of 诺华 Colombia, shares insights into leading a healthcare company in a world driven by AI. She explores strategic priorities and success stories, including the detection of Parkinson's disease.

AI4BetterHearts is a global collaboration on cardiovascular data aimed at addressing cardiovascular diseases, the leading cause of death worldwide, through the merging and analyzing cardiovascular health data. This initiative, led by the Novartis Foundation and Microsoft AI for Health, aims to leverage the abundance of data and computational power to transform healthcare systems from reactive to proactive and preventive.

The collaboration includes partnering with the Harvard Health Systems Innovation Laboratory to analyze data from over 80 countries and understand how healthcare system performance affects population cardiovascular health. Additionally, the Novartis Foundation supports the Global Heart Observatory, which collects and visualizes data related to cardiovascular diseases and risk factors, thereby contributing to a deeper understanding of global cardiovascular health.

What's the impact of AI on the patient?

Eduardo Miyake ,Customer Experience & Agile Practices Manager at 辉瑞 Brazil, takes us on a journey of patient experience transformation through AI. We explore real-life cases and how Pfizer is implementing innovations.

Pfizer turned to AI to expedite the data processing of their COVID-19 vaccine clinical trial using a tool called Smart Data Query (SDQ). Instead of waiting over 30 days for manual data cleaning and verification, the SDQ technology made the data ready within 22 hours after reaching key efficacy counts. This approach significantly reduced time and improved data quality, resulting in a positive impact on decision-making speed.

The SDQ tool was rapidly developed through Pfizer's Breakthrough Change Accelerator, a collaborative environment that connects the company with startups and other institutions to address research challenges, accelerating the development of technological solutions. This innovative approach enables quicker and more efficient problem-solving collaboration within the pharmaceutical industry.

Not only that, Ronan Massez , a pharmaceutical marketing expert at Johnson & Johnson MedTech , showcases the potential of AI in healthcare. He emphasizes how technology should be centered around patient needs and how an open mindset is crucial for innovation.

强生公司 is expanding its collaboration with Microsoft to incorporate AI into its pharmaceutical manufacturing process. This alliance aims to harness the AI and cloud capabilities of Microsoft to enhance efficiency and quality in pharmaceutical product production. The integration of AI in manufacturing will enable Johnson & Johnson to advance in automation, data analysis, and production optimization, which could accelerate the delivery of medications and treatments to patients more effectively and safely.

Technology's Impact on the Healthcare Sector

Paola Rivero García , Head of Digital Transformation Latam at 阿斯利康 , shares her passion for technology and its impact on the healthcare sector. She explores AI solutions beneficial for patients and the challenges in the field.

The AZerca project, developed by AstraZeneca in collaboration with Vall d’Hebron and Tucuvi, aims to assess the usability and feasibility of LOLA, a virtual medical assistant based on artificial intelligence and conversational technology, for providing personalized follow-up to congestive heart failure patients at the Vall d’Hebron University Hospital in Barcelona. Congestive heart failure, a chronic disease that affects a significant portion of the Spanish population, requires multidisciplinary and continuous medical attention.

LOLA makes phone calls to patients to collect information about their health, which is then automatically analyzed and prioritized on the Tucuvi Health Manager platform.

This complements the work of healthcare professionals, improves treatment adherence, and allows for early intervention in potential decompensations, optimizing resources and enhancing patients' quality of life. LOLA's technology, developed by Tucuvi, has demonstrated its effectiveness in optimizing medical care and reducing hospital stays in other cases, and it aims to improve efficiency and support for heart failure patients in this pioneering project in collaboration with AstraZeneca and Vall d’Hebron.

AI not only benefits patients, but also optimize hospital's operations

Luis Alfonso Nieto Ramos , Latam Services and Solutions Manager at Boston Scientific LATAM , shares how AI can address daily challenges in hospitals and insurance companies. He discusses the effective implementation of technology within the hospital's infrastructure.

AinnovaTech and Boston Scientific are collaborating to test an AI system aimed at improving efficiency and accuracy in identifying blockages in stents used in medical procedures. The AI system uses algorithms to analyze X-ray images and detect potential blockages in the stents, which could facilitate quicker and more precise diagnosis in healthcare procedures. This initiative seeks to enhance healthcare and the treatment of patients with cardiovascular diseases by leveraging AI technology to improve clinical decision-making and procedure efficiency.

Conclusion

AI is revolutionizing the healthcare world, from improving patient care to optimizing resources and processes in hospitals. AI stands as a crucial ally in the quest for a more efficient and patient-centered healthcare system.


Do you want to stay up-to-date with the latest trends in AI and healthcare? Subscribe to "AI Heroes" on Spotify and Apple Podcasts so you don't miss any conversations!


References

  1. Baxter International Inc. (n.d.). Baxter Presents Data at ASHP Meeting Indicating Machine Learning May Enhance Infusion. Retrieved from [https://www.baxter.com/baxter-newsroom/baxter-presents-data-ashp-meeting-indicating-machine-learning-may-enhance-infusion]
  2. Novartis Foundation. (n.d.). AI4BetterHearts: Cardiovascular Data Collaborative. Retrieved from [https://www.novartisfoundation.org/transforming-population-health/ai4betterhearts-cardiovascular-data-collaborative]
  3. Pfizer. (n.d.). How a Novel Incubation Sandbox Helped Speed Up Data Analysis in Pfizer's COVID-19 Vaccine Trial. Retrieved from [https://www.pfizer.com/news/articles/how_a_novel_incubation_sandbox_helped_speed_up_data_analysis_in_pfizer_s_covid_19_vaccine_trial]
  4. AstraZeneca. (n.d.). AstraZeneca, Vall d'Hebron, and Tucuvi Launch the AZerca Project for Monitoring Patients with Heart Failure. Retrieved from [https://www.astrazeneca.es/medios/notas-prensa/2023/AstraZeneca_Valldhebron_y_Tucuvi_ponen_en_marcha_el_proyecto_AZerca_para_el_seguimiento_de_pacientes_con_insuficiencia_cardiaca.html#:~:text=AstraZeneca%2C%20en%20colaboraci%C3%B3n%20con%20Vall,inteligencia%20artificial%20y%20tecnolog%C3%ADa%20conversacional]
  5. EnFarma. (n.d.). Johnson & Johnson Expands Its Collaboration with Microsoft to Integrate Artificial Intelligence into Manufacturing. Retrieved from [https://enfarma.lat/index.php/noticias/4561-johnson-johnson-amplia-su-colaboracion-con-microsoft-para-integrar-inteligencia-artificial-a-la-fabricacion]



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