System Pharmacy Formulary Management & Clinical Programs at Sutter Health

Sophia Humphreys is an innovative and resolute executive with 20 plus years of pharmacy leadership experience, in both the for-profit and not-for-profit sectors. She is a nationally renowned leader for medication utilization management, formulary management and pharmacy clinical services. She uses her exceptional financial analysis skills and incorporates HEOR principles into strategic planning and operational standardization. She has developed, implemented and published ground-breaking biosimilar strategies, resulting in multimillion-dollar savings to health systems through comprehensive executive team engagement, physician collaboration, evidence-based clinical review, astute contract negotiations and electronic health record-guided implementation strategies.

Throughout her career, she has demonstrated excellence in communicating and forming partnerships with enhancing collaboration among multidisciplinary teams, multispecialty physician groups, as well as external customers. This work has resulted in improved patient clinical outcomes, streamlined physician workflows and outstanding financial performance for her employers.

Highlights regarding her achievements:

•Developed and implemented innovative, data-driven and evidence-based, UM programs, which yield $10 million in drug savings annually for her employers.

•An unparalleled history of overseeing large-scale formulary budgets (exceeding $1B in each of the two most recent positions) which resulted in excellent clinical outcome and significant financial benefit to her employers.

•Created metrics dashboard for utilization management which evaluated and reported initiative performance at all levels of the organization.

Sophia’s record of success, exceptional communication skills and ability to lead change make her a highly respected leader in the healthcare industry. Her dedication to improving organizational efficiency and financial sustainability, coupled with her strategic vision, position her as an asset to any organization.

In this interview Humphreys shares her thoughts on the transformative impact of AI and Big Data in healthcare, enabling cost reduction, improved patient outcomes and enhanced efficiency. It emphasizes how these technologies streamline processes, support innovation and expand access to high-quality care.

The financial burden of U.S. healthcare is constantly increasing. This is especially  true for the cost of prescription medications. Last year (2023), the total drug spends in the United States reached a new high, exceeding  $435 Billion dollars, with  patient out-of-pocket costs reaching $91 Billion. To put this in perspective, Hollywood, with all its glamour, extravagancy and attention seeking, had a total domestic box office gross of $8.9 billion in the U.S. and Canada.

  The adoption and enhancement of AI tools in the healthcare industry will provide patients and care delivery systems improved outcomes and greater financial sustainability.

Many industries have used AI and ML to optimize efficiency and minimize waste. Similarly, the pharmaceutical industry has experienced a technology revolution in recent years. The increased  availability and improved reliability of big data has enhanced data-driven decision making and helped to establish  national benchmarks for healthcare services. The result has been  improved patient outcomes and reduced costs for the healthcare industry. The use of predictive analytics and machine learning models have helped to predict a patient’s risk for certain diseases. It has  enhanced the security of sensitive patient data. It has  helped monitoring a patient’s condition,  alerting caregivers in real time. Big data is also used to identify medication utilization patterns which guide drug stock levels at distribution centers,  optimize the level of  drugs on hand and minimize expiration of  high-cost drugs.

Analyzing  Big Data is complicated, but AI  tools can automate and streamline  complex duties. For instance, AI tools can extract relevant clinical data from published articles and from electronic medical records to assist research and development. With big data, medical researchers have unprecedented access to a large volume of data. With AI and machine learning,  patient recruiting processes and other research related activities can be streamlined. This, in turn, expedites lifesaving medical breakthroughs. 

AI tools can analyze if the treatment plans utilized are helping the patients or not. This, in turn, can guide researchers and clinicians to  develop better treatment plans for future patients  and to optimize treatment plans for active patients in real time. These  tools provide the reports  needed for continuous process improvement and  better patient care strategies.  

AI is now used across healthcare settings from acute care hospitals to ambulatory clinical and research institutes. AI tools are widely employed in robot assisted surgeries, virtual assistants, administrative workflow assistants, clinical trials, diagnosis, fraud and drug diversion detection and medication safety programs. These tools help reduce the repetitive work of physicians, pharmacists, nurses, researchers and other healthcare providers, streamlining  workflow and reducing burnout.

These new technologies  increase patient access to high quality care, especially for rural areas where patients have  difficulty commuting to more advanced treatment centers. For example, on July 13, 2024, a long-distance robot-assisted remote lung cancer surgery was successfully performed in Northwest China’s hospital in the Xinjiang Province, by the doctors who operated from a cancer care center in Shanghai, some 5,000 kilometers (3,107 miles) away, with the assistance of robotics and other innovative technologies. 

Digital healthcare has the potential to provide unprecedented advances. AI assisted data analysis provides in-time, accurate and efficient data for process improvement. It also alerts  healthcare providers to potential issues before those issues arise. It identifies   problems  in real time, permitting timely correction. Big data offers improved outcomes with reduced  cost  by identifying appropriate treatment plans, allocating resources intelligently and identifying potential health issues before they occur. 

In conclusion, AI and digital health technologies offer the promise of acceleration in new treatments and new methods to deliver care. The adoption and enhancement of AI tools in the healthcare industry will provide patients and care delivery systems improved outcomes and greater financial sustainability.