Hoffman, James M.

Pharmacogenomic information must be incorporated into electronic health records (EHRs) with clinical decision support in order to fully realize its potential to improve drug therapy. Supported by various clinical knowledge resources, pharmacogenomic workflows have been implemented in several healthcare systems. Little standardization exists across these efforts, however, which limits scalability both within and across clinical sites. Limitations in information standards, knowledge management, and the capabilities of modern EHRs remain challenges for the widespread use of pharmacogenomics in the clinic, but ongoing efforts are addressing these challenges. Although much work remains to use pharmacogenomic information more effectively within clinical systems, the experiences of pioneering sites and lessons learned from those programs may be instructive for other clinical areas beyond genomics. We present a vision of what can be achieved as informatics and data science converge to enable further adoption of pharmacogenomics in the clinic.

AbstractPurposeHistorical trends and factors likely to influence future pharmaceutical expenditures are discussed, and projections are made for drug spending in 2019 in nonfederal hospitals, clinics, and overall (all sectors).MethodsDrug expenditure data through calendar year 2018 were obtained from the IQVIA National Sales Perspectives database and analyzed. New drug approvals, patent expirations, and other factors that may influence drug spending in hospitals and clinics in 2019 were also reviewed. Expenditure projections for 2019 for nonfederal hospitals, clinics, and overall (all sectors) were made through a combination of quantitative analyses and expert opinion.ResultsU.S. prescription sales in calendar year 2018 totaled $476.2 billion, a 5.5% increase from 2017 spending. The top 3 drugs by expenditures were adalimumab ($19.1 billion), insulin glargine ($9.3 billion), and etanercept ($8.0 billion). Prescription expenditures in nonfederal hospitals totaled $35.8 billion, a 4.8% increase from 2017. Expenditures in clinics in 2018 increased by 13.0% to $80.5 billion. The increase in spending in nonfederal hospitals was largely driven by new products and increased utilization of existing products. The list of the top 25 drugs by expenditures in nonfederal hospitals and clinics was dominated by specialty drugs.ConclusionWe predict continued moderate growth of 4–6% in overall drug expenditures (across the entire U.S. market). We expect the clinic sector to continue to experience high (11–13%) growth in drug spending in 2019. Finally, for nonfederal hospitals we anticipate growth in the range of 3–5%. These estimates are at the national level. Health-system pharmacy leaders should carefully examine local drug utilization patterns to determine their own organization’s anticipated spending in 2019.

Abstract To move beyond a select few genes/drugs, the successful adoption of pharmacogenomics into routine clinical care requires a curated and machine-readable database of pharmacogenomic knowledge suitable for use in an electronic health record (EHR) with clinical decision support (CDS). Recognizing that EHR vendors do not yet provide a standard set of CDS functions for pharmacogenetics, the Clinical Pharmacogenetics Implementation Consortium (CPIC) Informatics Working Group is developing and systematically incorporating a set of EHR-agnostic implementation resources into all CPIC guidelines. These resources illustrate how to integrate pharmacogenomic test results in clinical information systems with CDS to facilitate the use of patient genomic data at the point of care. Based on our collective experience creating existing CPIC resources and implementing pharmacogenomics at our practice sites, we outline principles to define the key features of future knowledge bases and discuss the importance of these knowledge resources for pharmacogenomics and ultimately precision medicine.