Abstract The problem of increasing hospital readmissions is now one of the most pressing health care issues in many counties. This necessitates ongoing discussion of quality of medical services. Despite the fact that hospitals do their best to reduce readmission rates, results they manage to achieve are outnumbered by complaints and negative consequences. Readmission costs are too high for the health care system to spare and amount up to $18 billion annually on avoidable rehospitalization cases, according to Medicare statistics (Berenson, Paulus, & Kalman, 2012). Numerous strategies and models have been implemented (including grants and financial penalties) in order to lower the rates of readmissions. However, prevention proves to be the most effective practice. Thus, it is highly important for hospitals to enhance primary care practices as primary care providers have an incomparable impact on readmission statistics (Kansagara et al., 2011). Introduction Despite the variety of strategies implemented by the administration in order to avoid hospitalization (such as prospective payment and obligatory approval required for admission), the costs of inpatient care account for more than 40% of the overall spending on health care. More than half of hospitalization budget is spent on readmission. Moreover, readmission is one of the most demonstrative indicators of low-quality service (Kripalani, Theobald, Anctil, & Vasilevskis, 2014). There is a growing need to improve quality reducing inpatient services at the same time. One of the most effective strategies to do it is to identify and target risk groups in order to ensure that they receive the best primary care possible. Thus, the paper at hand is aimed to make the proposal to hospital administration that would include the ways to increase the quality of primary care with the ultimate goal to produce an impact on readmission rates. The first part of the proposal will highlight the statistical data concerning readmission rates over the recent years. In the second part, the annotated bibliography will briefly discuss the content of the sources on the basis of which the proposal is made. The third part will suggest a plan of innovative interventions that can indirectly influence readmission rates through the improvement of primary care. In conclusion, the key aspects will be summarized. Readmission Statistics The following readmission figures collected over the recent years prove the necessity of taking measures (Kansagara et al., 2011):   * In 2013, the number of readmissions was app. 500,000 cases ($7 billion in costs). The major diseases included acute myocardial infarction (AMI), chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), and pneumonia.   * For all the four conditions the cost of Medicare was more than $5 billion.   * From 2009 to 2013, both the number and rate of rehospitaliazation (covered by Medicaid) among patients over 65 decreased by 6%; nevertheless the number still over 1.8 million.   * Readmission level decreased also among maternal patients of any age with private insurance and uninsured patients (by about 9%). The largest decrease, however, was among patients having private insurance coverage (over 15%).   * The greatest increase in readmission cases since 2009 could be observed among nonmaternal patients from 1 to 20 years old with Medicaid (by 8%), private (15%) or n