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E-Medical Health Record: A Case Study

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Recommended: Introduction to electronic health records

An E-Medical Health Record (EMHR) is an electronic version of a patient’s medical history, that is maintained by the provider over time, and may include all of the key administrative clinical data relevant to that persons care under a particular provider, including demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data and radiology reports . The EMHR automates access to information and has the potential to streamline the clinician's workflow. The EMHR also has the ability to support other care-related activities directly or indirectly through various interfaces, including evidence-based decision support, quality management, and outcomes reporting.

1.3 Purpose
An E-Medical …show more content…

The first part of the report illustrates the challenges and limitations of using existing federal surveys and federal claims databases for studying small populations. The second part explores the potential of the increasingly available EMHR and other existing electronic health data to complement federal data sources, as well as potential next steps to demonstrate and improve the feasibility of using EMHRs for research on small …show more content…

• In current system only records maintain without security any one can access the data of any one.
• There is no health record which maintain the patient details as well as doctor details in India.
• By the use of E-Medical Health Record there generate the powerful Communication between patient and doctors.
• Previous reviews of research on e-medical health record (EMHR) data quality have not focused on the needs of quality measurement. The authors reviewed empirical studies of EMHR data quality, published from January 2004, with an emphasis on data attributes relevant to quality measurement. Many of the 35 studies reviewed examined multiple aspects of data quality. Sixty-six percent evaluated data accuracy, 57% data completeness, and 23% data comparability.
• The diversity in data element, study setting, population, health condition, and EMHR system studied within this body of literature made drawing specific conclusions regarding EMHR data quality challenging. Future research should focus on the quality of data from specific EMHR components and important data attributes for quality measurement such as granularity, timeliness, and comparability. Finally, factors associated with poor or variability in data quality need to be better understood and effective interventions

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