By Neal D. Goldstein
Electronic future health files (EHRs) became normal within the clinical career. wellbeing and fitness info are with no trouble captured and completely saved in a electronic style, and therefore, are more and more being used in well-being learn. the standard of this study depends on the investigator’s skill to procure the correct information to respond to the correct query. you can actually churn out terrible caliber study from the EHR; it really is a lot tougher to supply significant effects that impact the population’s health and wellbeing.
Improving inhabitants well-being utilizing digital well-being files takes the reader in the course of the means of accomplishing significant study from information within the EHR. It de-mystifies the full learn procedure, from how one can ask the proper of study questions, to acquiring facts with specific emphasis on information administration and manipulation, to acting a sound statistical analyses, and analyzing and providing the implications in a transparent, concise style that has the capability to enhance inhabitants healthiness.
This ebook can be utilized as a hands-on how-to consultant of appearing learn from EHR info in both a piece-meal style, opting for merely the subjects of maximum curiosity, or an entire consultant to the complete learn procedure.
Readers will enjoy the intuitive presentation of complicated tools with a mess of examples. it really is helpful examining for researchers and clinicians who're now not differently acquainted with the complexities of operating with huge facts units.
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Additional resources for Improving population health using electronic health records : methods for data management and epidemiological analysis
Although coded data are great for research and reporting, they are less well suited for capturing the nuance and subtlety, common in some medical specialties, including psychiatry. 1 Hypothetical Data Types for an Example Database Table Variable Data Type Antigen Coded text Manufacturer Free text Date administered Date/time Route of administration Coded text Dose in milliliters Numeric How to Use This Book for Research ◾ 13 values. A data dictionary should exist which describes the underlying data, and may include items such as variable name, data type, and interpretation of coded values.
Just like most kitchen cabinets are sorted to have, say, glassware in one cabinet, plates in another, utensils in a drawer, and so forth, a database has tables that contain data with similar features. For example, suppose you are designing a system for collecting immunization data. 2. These tables are linked together by a unique identifier, an essential variable that matches data from one table to another. The “patient demographics” table is linked to the “vaccine administered” table by the patient ID variable, and the “vaccine administered” table is linked to the “provider details” table by the vaccination ID variable.
Accessing data from an EHR or HIE presents unique challenges. Often external collaborators will receive either an extremely limited set of data or none at all, as many institutions are interested in protecting their data for privacy, security, and intellectual property reasons. The path of least resistance to obtaining data from one of these big data sources is to foster an internal collaborator. This internal collaborator can then serve as the point person for all data requests and assist with identifying additional institutional champions that can move the data request forward through clinical, legal, and information technology hurdles.
Improving population health using electronic health records : methods for data management and epidemiological analysis by Neal D. Goldstein