Data Standards in Health Information Management
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Questions and Answers

The purpose of establishing cut-off dates is to create and enforce standards.

True (A)

Business Intelligence Tools are used exclusively for data collection.

False (B)

Publicizing and disseminating information is part of the final harmonization process.

True (A)

Validation only occurs at the district level.

<p>False (B)</p> Signup and view all the answers

Logic is a tool used to approve rules and constraints.

<p>True (A)</p> Signup and view all the answers

Health information systems can only use structured data.

<p>False (B)</p> Signup and view all the answers

The primary use of data refers to its use for direct patient care.

<p>True (A)</p> Signup and view all the answers

Data-driven approaches prioritize patient outcomes over business objectives.

<p>True (A)</p> Signup and view all the answers

All data collected for health information systems is unstructured.

<p>False (B)</p> Signup and view all the answers

Disease registries primarily utilize unstructured data.

<p>False (B)</p> Signup and view all the answers

Health Informatics Standards are not important for healthcare data management.

<p>False (B)</p> Signup and view all the answers

Issues in health information systems can impact the effectiveness of healthcare delivery.

<p>True (A)</p> Signup and view all the answers

Data privacy involves maintaining the _______ and confidentiality of individuals.

<p>True (A)</p> Signup and view all the answers

ISO TC 215 is associated with Health Informatics and aids in data security.

<p>False (B)</p> Signup and view all the answers

Impartiality in data governance refers to maintaining a _______ in decision making.

<p>True (A)</p> Signup and view all the answers

User access control policy is a part of data privacy management.

<p>True (A)</p> Signup and view all the answers

Tipah has a normal ESR value of 35.

<p>False (B)</p> Signup and view all the answers

Granular data collection refers to gathering detailed and specific information.

<p>True (A)</p> Signup and view all the answers

Zainab is classified as having Type 2 Diabetes Mellitus with hypoglycemia.

<p>True (A)</p> Signup and view all the answers

A security poster is a method for ensuring data quality in data governance.

<p>False (B)</p> Signup and view all the answers

Mastura's ESR value of 67 is below the reference range.

<p>False (B)</p> Signup and view all the answers

Monitoring and evaluation processes are used to ensure data _____ in governance.

<p>True (A)</p> Signup and view all the answers

All patients listed have been diagnosed with Type 2 Diabetes Mellitus.

<p>True (A)</p> Signup and view all the answers

The International Statistical Classification of Diseases provides meanings for communication purposes only.

<p>False (B)</p> Signup and view all the answers

Data cleaning methodology is unrelated to maintaining data integrity.

<p>False (B)</p> Signup and view all the answers

An ESR value of 53 in Zainab indicates a condition of normal health.

<p>False (B)</p> Signup and view all the answers

The ICD code E11.9 refers to Type 2 diabetes mellitus without complications.

<p>True (A)</p> Signup and view all the answers

High ESR values are associated with diabetic patients without any complications.

<p>False (B)</p> Signup and view all the answers

A Client is a PERSON who receives health service.

<p>True (A)</p> Signup and view all the answers

A Provider is someone who only delivers health services occasionally.

<p>False (B)</p> Signup and view all the answers

An Encounter refers to an interaction between a Client and one or more Providers.

<p>True (A)</p> Signup and view all the answers

A Visit is an interaction between a Client and one or more Providers.

<p>False (B)</p> Signup and view all the answers

A Service is a single healthcare activity delivered through an Organisation.

<p>False (B)</p> Signup and view all the answers

An Organisation is a social unit structured to pursue individual goals.

<p>False (B)</p> Signup and view all the answers

A Discipline is a specialty delivered through an Organisation.

<p>True (A)</p> Signup and view all the answers

A Specialty is a broad medical area that any Provider can practice without restrictions.

<p>False (B)</p> Signup and view all the answers

Hypoglycaemia is documented with the code E16.2.

<p>True (A)</p> Signup and view all the answers

Uncontrolled Diabetes Mellitus Type 2 with Hypoglycaemia uses the code E11.6.

<p>False (B)</p> Signup and view all the answers

The code for Advanced Carcinoma of thyroid gland is C79.

<p>False (B)</p> Signup and view all the answers

Papillary Carcinoma of Thyroid gland is classified under the code M8050/3.

<p>True (A)</p> Signup and view all the answers

Oral Hypoglycaemic Agents are documented with the code Y42.3.

<p>False (B)</p> Signup and view all the answers

Multinodular goitre is documented with the 4 digit code E04.2.

<p>True (A)</p> Signup and view all the answers

To rule out carcinoma has the 3 digit code Z03.

<p>True (A)</p> Signup and view all the answers

The code for Carcinoma in situ of the thyroid gland is D09.1.

<p>False (B)</p> Signup and view all the answers

Flashcards

Establishing Cut-off Dates

The process of determining a point in time after which data is no longer accepted or considered valid.

Data Standards

A set of pre-defined rules that ensure the consistency and accuracy of data collected from different sources.

Data Validation

The process of verifying data using tools or programs to ensure data integrity and compliance with established standards.

Final Harmonization

The process of consolidating and harmonizing collected data from different sources to achieve a unified view.

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Data Analysis

The use of tools and techniques to analyze and interpret collected data to reveal meaningful insights.

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Structured Data

Data that is organized into a structured format, easily analyzed and processed by computers. Examples include patient demographics, billing information, medical test results.

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Unstructured Data

Data that is not organized in a predefined format and difficult to analyze by computers. Examples include free-text notes, images, audio recordings, and video recordings.

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Primary Use Data

Data collected for its primary purpose, such as patient care or billing.

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Secondary Use Data

Data collected for a purpose different from its original intention. For example, using patient data for research or quality improvement.

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Data-Driven Approach

An approach that makes decisions and solves problems based on data analysis.

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Business-Driven Approach

An approach that prioritizes business goals and strategies over data analysis.

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Examples of Structured Data

Patient registration, vital statistics, billing, and disease registries are examples of structured data commonly used for administrative purposes.

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Structured data for research

Research studies often use structured data to analyze outcomes and trends.

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Client

A person who receives health care services.

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Provider

A person who provides health care services.

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Encounter

An interaction between a client and one or more providers.

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Service

A grouping or collection of healthcare activities delivered to a client.

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Organisation

A social unit of people structured and managed to meet a need.

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Specialty

A specialized medical area.

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Specialty

A specialized medical area that a provider is licensed to practice.

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Discipline

A specialty delivered through an organization.

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Data & Information Governance

The practice of managing and safeguarding healthcare data and information while ensuring access, quality, privacy, and confidentiality.

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Data Integrity

A set of principles and practices aimed at maintaining the accuracy, completeness, and consistency of data.

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Data Security

Measures taken to protect sensitive data from unauthorized access, use, disclosure, disruption, modification, or destruction.

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Data Privacy

Principles and policies governing the collection, use, retention, and sharing of healthcare data, ensuring compliance with legal and ethical requirements.

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Health Information Framework

A defined framework that outlines how data is collected, used, shared, and retained within a healthcare organization.

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Data Cleaning Methodology

A comprehensive approach ensuring data quality throughout its lifecycle, from collection to analysis, by applying various methods and tools.

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User Access Control Policy

Access controls, permissions, and policies that regulate who can access specific data and what actions they can perform with it.

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Impartiality

An objective and unbiased approach to data management, avoiding bias in decision-making.

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Diabetes Mellitus

A medical condition characterized by elevated blood sugar levels.

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Hypoglycemia

A medical condition marked by abnormally low blood sugar levels.

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Multinodular Goitre

A medical condition involving multiple nodules in the thyroid gland.

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Papillary Carcinoma

A type of thyroid cancer characterized by small, slow-growing tumors.

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Toxic Multinodular Goitre

A medical condition characterized by an overactive thyroid gland.

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Goitre

A non-cancerous growth or enlargement of the tissue in the thyroid gland.

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Carcinoma in situ

A type of cancer that has not spread beyond the original site.

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Metastasis

A type of cancer that has spread to other parts of the body.

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ESR (Erythrocyte Sedimentation Rate)

A blood test that measures the rate at which red blood cells settle at the bottom of a test tube. It is a non-specific test that can be elevated due to various factors including inflammation, infection, and some cancers.

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Type 2 Diabetes Mellitus (T2DM)

A condition where the body's blood sugar level is too high. It is a chronic condition affecting the body's ability to use glucose for energy.

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ICD (International Statistical Classification of Diseases and Related Health Problems)

A medical classification system used to track and analyze health information and statistics across different countries. It standardizes the meanings of diseases and health conditions, facilitating data comparison and analysis.

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Medicine

A medical abbreviation used to refer to various medical specialties related to internal medicine. It can indicate disciplines such as 'Internal Medicine' or 'General Medicine'.

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General Medicine Physician

A general practitioner providing primary care services including diagnosing, treating, and managing a wide range of health conditions.

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Diabetic Medicine Physician

A specialist doctor focusing on the endocrine system, particularly dealing with conditions like diabetes and hormonal imbalances.

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Study Notes

Data Collection and Standards in HIMS

  • The presentation is about data collection and standards in health information management systems (HIMS)
  • A presentation by Dr. 'Ismat Mohd Sulaiman, who is (MD, MSc HI, PhD candidate PHI) at the Health Informatics Centre, Planning Division, MOH Malaysia
  • Held on June 6, 2024, from 10:00 AM to 1:00 PM
  • The presentation covers data in healthcare, data management, data and information governance, and health informatics standards.

Study Objectives

  • Participants will be able to discuss the development of health information systems in various healthcare settings
  • Participants will be able to explain the rationale behind the development of health information systems
  • Participants will be able to discuss the use and implementation of health information systems in future healthcare planning
  • Participants will be able to discuss issues in health information systems
  • Participants will learn to evaluate health information systems
  • Participants will understand how data for health information systems are collected

Topics

  • Data in Healthcare: Structured & Unstructured Data, Primary and Secondary Use data, Data-Driven vs Business-Driven approach
  • Data Management: Software development cycle, Information system monitoring, Output
  • Data and Information Governance: Enabling access and usage to quality healthcare data and information while maintaining the privacy and confidentiality of individuals and organizations.

-Components of Data Governance addressed in the presentation include establishing a data governance committee, with considerations in general, access, usage, privacy, security, consent, and data quality. -Data quality dimensions (e.g.; accuracy, completeness, validity, relevance, consistency, and timeliness). -Also covered was who owns health data and the implications of data sharing

  • Health Informatics Standards: Four types of interoperability (technical, syntactic, semantic and organizational), Example of Semantic Standards and Discussion: application and use benefit

Additional Notes

  • The presentation provides a comprehensive overview of data collection and standards in HIMS
  • Emphasis on data management, governance, quality, and interoperability
  • Various case studies and practical examples of topics covered, including specific coding, diagnosis, and types of data.
  • Presentation also includes a review of topics such as data types, data management concepts, health data usage, data analysis and standards, and challenges in health information systems
  • Several key concepts, definitions, and practical examples were applied in the presentation

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Related Documents

UM MPH MBQ7046 - Data Collection and Standards in HIMS PDF

Description

Explore the essentials of data collection and standards in health information management systems (HIMS) in this insightful presentation. Dr. 'Ismat Mohd Sulaiman discusses various topics, including data management, information governance, and the implementation of HIMS in future healthcare planning.

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