Recently, several healthcare organizations store heterogeneous health information about patients aiming to improve the quality of healthcare. The Electronic Health Record (EHR) contains a huge amount of patients' information making it difficult and time-saving to find the most pertinent information. Accurate, concise and automated summurization and visualization have the potential to save time, doing so includes increasing patient safety, improving efficiency, help clinical decision making, and reducing medical error as well as costs. Although interoperability and standardization are considered keys to improve the quality of care services and to coordinate care and practice effective summarization. Several studies have shown the difficulty of improving the quality of healthcare using the current summarization and visualization-based systems since they lack interoperability and they do not allow to easily express clinician needs. We found that there is no study which discusses the impact of the semantic and syntactic interperability on EHR summurization approach which motivated us providing and discussing studies on the above topics. In this Study, we will review healthcare summarization and visualization approaches and systems , we will analyze the proposed studies according to interoperability and clinician 'needs challenges. To construct our review, we adopted Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) medology and we examined papers between 1980 and 2021. Selected studies focusing on healthcare sub-areas, Electronic Health Record visualization, Electronic Health Record summurization, interoperability and standards. Based on the above papers, we provide a systematic view of development in this field and possible future directions. We conclude that most research studies in summarizing systems lack semantic interoperability and they do not rely on clinicians' needs. Besides, Electronic Health Record visualization systems lack ability to analyse efficiently health data and integrate expert knowledge domain in the decision-making process. This shall promote new research to solve these issues.