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San Luis Obispo County Health Agency Behavioral Health Department Electronic Health Record Project BHEHR Appendix E Data Requirements PS-1034 Table of Contents Introduction. 4 Objectives. 4 Purpose. 4 Overview of Existing Data Sources. 5 Client Chart. 5 Departmental Systems. 8 Additional Background Applications. 10 2. 3. 1 InSyst. 10 2. 3. 2 ClinDOX. 11 Data Migration Strategies Under Consideration. 12 Mental Health MH Services. 12 Drug and Alcohol Services D/AS. 13 Existing Interfaces....
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How to fill out Data Requirements

01
Identify the objective of the data requirement.
02
Gather stakeholders to discuss data needs.
03
List specific data elements required for the project.
04
Define the format and structure of the data.
05
Determine the frequency of data collection and updates.
06
Set criteria for data quality and validation checks.
07
Document potential data sources and accessibility.
08
Review and finalize the data requirements with stakeholders.

Who needs Data Requirements?

01
Project managers to ensure project goals are met.
02
Data analysts for accurate data collection and analysis.
03
Developers for effective data system implementation.
04
Business stakeholders to align data with business objectives.
05
Compliance officers to adhere to regulatory standards.
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People Also Ask about

Data is the plural of Latin datum, "something given." In scientific use, the word data is often considered to be a plural noun meaning "pieces of information": The data are reliable.
Data standards are a set of well-defined rules by which data are described, recorded and shared in order to ensure common understanding among data users and to maintain data quality (integrity, consistency, format and meaning).
The complexity of documenting data requirements can vary. However, basic data requirements definition should include the data attributes required, metadata standards, data owners, business glossary mapping, and identification of relevant business processes to name a few (See Introductory Notes).
Data is an individual unit that contains raw materials which do not carry any specific meaning. Information is a group of data that collectively carries a logical meaning.
Consider this example: a sequence of numbers “100, 150, 200” is just data. However, if you put it into context: “The sales of a product over the past three months were 100, 150, and 200 units,” it becomes information because it provides meaning and context.
Real-World Examples of Data Requirements Data Entities and Attributes: Data Relationships: Data Validation Rules: Data Storage and Retrieval: Clear Data Definitions. Consistent Naming Conventions. Data Modeling Techniques. Data Dictionary or Metadata Repository.
Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI) and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization's data. These insights can be used to guide decision making and strategic planning.
/ˈdeɪ.tə/ B2. information, especially facts or numbers, collected to be examined and considered and used to help decision-making, or information in an electronic form that can be stored and used by a computer: The data was/were collected by various researchers.

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Data Requirements refer to the specific data specifications and definitions needed to fulfill a particular task or project. They outline what data is necessary to achieve certain objectives and are critical in guiding data collection, management, and reporting processes.
Individuals or organizations that collect, manage, or report data as part of regulatory compliance, project management, or data governance initiatives are required to file Data Requirements. This can include businesses, researchers, and government agencies.
To fill out Data Requirements, one must follow these steps: identify the data needed, ensure completeness and accuracy, provide necessary definitions and formats, adhere to any regulatory guidelines, and submit the document to the relevant authority or stakeholders.
The purpose of Data Requirements is to ensure that the right data is collected and reported in a consistent manner to meet project goals, regulatory standards, and stakeholder needs, ultimately facilitating informed decision-making and compliance.
Information that must be reported on Data Requirements typically includes data types, definitions, sources, formats, collection methods, frequencies, and any applicable regulatory standards or guidelines.
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