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    Issues and Trends in HBI Ch03 pp Issues and Trends in HBI Ch03 pp Presentation Transcript

    • Handbook of Informatics for Nurses & Healthcare Professionals Fifth Edition CHAPTER 3 Ensuring the Quality and Best Use of Information Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Learning Outcomes1. Define data integrity and its relevance for healthcare.2. Discuss the relevance of data management for data integrity.3. Identify strategies to ensure the accuracy of data. Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Learning Outcomes4. Differentiate between online and offline data storage.5. Explain how storage conditions can affect data integrity.6. Debate the relative merits of outsourcing data storage. Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Learning Outcomes7. Discuss factors that should be addressed when planning for data retrieval.8. Identify characteristics associated with quality information.9. Discuss the significance of data cleansing for data warehousing and data mining. Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Learning Outcomes10.Define data mining and recognize its uses within healthcare.11.Examine the relationship between data mining, knowledge discovery in databases, and evidence-based practice.12.Explore the role of the nurse with knowledge discovery in databases. Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Key Concepts• Data—building blocks in the formation of knowledge• Data integrity—ability to collect, store, and retrieve correct, complete, current data so it will be available to authorized users when needed• Faulty or incomplete data gives rise to poor quality information and poor decisions Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Ensuring Correct Data Collection and Entry• Input errors decrease data quality.• To reduce input errors: – Educate staff. – Perform system checks. – Verify data. – Minimize fraudulent information. Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Educate Staff• Staff members who understand proper use of systems and the potential impact of poor quality will make fewer errors. Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • System Checks• Mechanism provided by the computer system to prompt users to complete a task, verify information, or prevent entry of inappropriate information – Data cleansing software at point of entry—verify selection of the “right” patient to eliminate redundant records Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • System Checks• Mechanism provided by the computer system to prompt users to complete a task, verify information, or prevent entry of inappropriate information – Forcing users to complete “required” fields to progress – Alerting users of duplicate entries – Generating reports of actions that have not been completed Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Data Verification• Client verification that data is accurate – Verbally – On-screen review – Printout review• Verification is flawed if the patient – Responds without knowing the question – Cannot hear, see, or read – Does not speak the same language Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Fraudulent Information• Leads to financial loss for organization and/or payer• Can ruin individual credit histories• Can lead to patient harm or death Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Financial Loss• For the organization and/or payer – Erroneous or incorrect patient information may cause unrecoverable loss. Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Ruined Credit Histories• Victims of identity theft may have unrecoverable loss and credit history damage. Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Patient Harm or Death• The patient who uses someone else’s name and/or insurance information is treated on the basis of health information that is true for someone else, not themselves. Possible loss of coverage could injure or harm the health of the real patient. Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Decrease Fraudulent Information• Request proof of identification, preferably photograph identification, when the person presents for treatment.• Use biometric measures in the registration process.• Have consumers sign a statement that they are aware that insurance fraud is a criminal act that may result in bodily harm. Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Data Management• Process of controlling the collection, storage, retrieval, and use of data to optimize accuracy and utility while safeguarding integrity• Also known as business intelligence (BI) Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Data Management Levels• Entry level• System analysts—help identify data needed and collection method• Programmers—create computer instructions that collect required data and build the database• Database administrator (DBA)— oversees details of maintaining and using database Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Data Warehouse• Repository for storing data from several different databases so that it can be combined and manipulated to provide answers to complex analytic questions Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Data Storage• Online storage – Provides access to current data – Rapid, using high-speed hard disk drives or storage space on the network• Offline storage – For data that are needed less frequently, or for long-term data storage of old client records – Can be done on any secondary storage device Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Data Storage Considerations• Speed/frequency of access needed• Environmental conditions and hazards• Control of equipment and media• Contingency planning• Storage period for each record type• Media degradation• Obsolescence of hardware and software• Maintenance of access devices Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Outsourcing• Must consider costs – Personnel – Space – Equipment – Maintenance – Expertise Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Data Retrieval• Process that allows the user to access previously collected, stored data• Considerations – Performance response – Capacity—amount of available storage – Security—protected against unauthorized access – Cost Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Data Exchange• Growing expectation that information collected in one facility will be available to another Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Data Cleansing• Procedure that uses software to improve the quality of data to ensure that it is accurate enough for use in data mining and warehousing Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Data Disposal• Physical destruction – Secure disposal of documents containing PHI – Shredding – Deform/destroy storage media• Software destruction – Overwrite data Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Quality Information• Timely • Free from bias• Precise • Comprehensive• Accurate • Appropriate to the• Numerically user’s needs quantifiable • Clear• Verifiable by • Reliable independent means • Convenient• Rapidly and easily available Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Data Mining• Technique that uses software to look for hidden patterns and relationships in large groups of data Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Knowledge Discovery in Databases (KDD) • Similar to data mining • Rapidly expanding field • Seeks to use the data repository to provide information useful for multiple purposes including research, outcome measurement, and efficacy of treatments Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar
    • Future Directions• The adoption of standard data exchange models and increased interoperability will provide access to additional databases.• Data mining and KDD will become commonplace, facilitating research and evidence-based practice. Handbook of Informatics for Nurses & Healthcare Professionals, Fifth Edition Toni Hebda • Patricia Czar