Navigating manuscript assessment: The new practitioner's guide to primary literature peer review.

For pharmacists, the first years after graduation are spent developing their knowledge base, advancing as a practitioner, and honing their abilities as healthcare providers and drug information experts. New practitioners encounter many challenges during this time, which for many include publishing original research or reviewing manuscripts for colleagues and medical journals. Inexperience navigating the publication process, from submission to receipt of (and response to) peer review commentary, is often cited as a major barrier to timely publication of resident and new practitioner research. Serving as a peer reviewer in turn provides the new practitioner with insight on this process and can be an enlightening experience used to garner confidence in subsequently submitting their own formal manuscripts. A number of publications describing steps for peer review are available, however, many of these articles address more experienced reviewers or critique the peer review process itself. No definitive resource exists for new pharmacy practitioners interested in developing their peer review skills. The information presented in this summative guide should be used in conjunction with practice opportunities to help new practitioners develop proficiency at peer review.

Big Data: Implications for Health System Pharmacy.

Big Data refers to datasets that are so large and complex that traditional methods and hardware for collecting, sharing, and analyzing them are not possible. Big Data that is accurate leads to more confident decision making, improved operational efficiency, and reduced costs. The rapid growth of health care information results in Big Data around health services, treatments, and outcomes, and Big Data can be used to analyze the benefit of health system pharmacy services. The goal of this article is to provide a perspective on how Big Data can be applied to health system pharmacy. It will define Big Data, describe the impact of Big Data on population health, review specific implications of Big Data in health system pharmacy, and describe an approach for pharmacy leaders to effectively use Big Data. A few strategies involved in managing Big Data in health system pharmacy include identifying potential opportunities for Big Data, prioritizing those opportunities, protecting privacy concerns, promoting data transparency, and communicating outcomes. As health care information expands in its content and becomes more integrated, Big Data can enhance the development of patient-centered pharmacy services.