HIS Lesson 1 PDF

Summary

This document details health information systems, covering topics such as data collection, organization, and analysis within a healthcare context. It describes different types of data and the importance of data quality in healthcare. The document also discusses various aspects of health information systems such as the timeline and resources involved.

Full Transcript

Health Information System John Leo C. Dayrit, RMT Introduction The starting points for health care information are DATA and its collection, whether maintained manually or electronically. Demographic and clinical data stored in patient’s medical/health record are the major source of health informati...

Health Information System John Leo C. Dayrit, RMT Introduction The starting points for health care information are DATA and its collection, whether maintained manually or electronically. Demographic and clinical data stored in patient’s medical/health record are the major source of health information and are of NO VALUE if they are not accurate, reliable and accessible. Data representation of facts or concepts or set of instructions suitable for communication, interpretation or processing by manual or electronic means. In healthcare, facts outline distinct patient characteristics. Whether the data is recorded on paper or stored in a computer, it must be structured for easy comprehension and retrieval when necessary. Primary Data- obtained from the original data source, documentation in the patient’s medical/health record collected by staff either in a hospital, clinic or aid post or daily ward census reports. Secondary Data- data set 2 Types of derived from primary data that are summarized from the source. Data DATA ORGANIZATION INFORMATION Data and Information DATA ORGANIZATION INFORMATION To interpret data effectively, it DATA ORGANIZATION INFORMATION must be organized to extract meaningful insights and utilize them. Once organized, data DATA ORGANIZATION INFORMATION transforms into valuable information. Health The data collected should be Care verified correctly and include: Data Relevant findings relating to the patient’s condition Health care data are items of Diagnosis knowledge about an individual patient or a group of patients. They Treatment Plan are gathered in paper or electronically during his/her attendance at the clinic, community health center or primary healthcare facility. DATA VALIDITY To communicate effectively, data must be valid and conform to an expected range of values DATA ACCURACY To be useful, data must be accurate. Health Information This refers to structured data gathered about an individual patient or a summary of their entire healthcare provider experience. HPI Promoting excellent clinical care Describing the types of individuals using Is a by-product of a patient’s services and the types of service they receive contact with a healthcare provider, Gauging efficiency of the contact, treatment, regardless of the setting, referral and interaction by healthcare information should have value as a professionals clinical review or management tool Meeting accountability requirements Correct and up-to-date information is critical not only for the provision of high-quality clinical care but also for maintaining a optimal level health system For determining and continuing future plan of care for the patient at all levels of healthcare Importance of Data For medico-legal purposes of the patient, the doctor and the Quality healthcare service For teaching professionals and working out staffing requirements and planning healthcare service Accurate and reliable healthcare data are used by Doctors, nurses Legal and other Health Insurance representatives healthcare officers and courts professionals Quality State and Researchers assurance national commitees and ministry of medical staff health Health information system This refers to any system that captures, stores, manages or transmits information related to the health of individuals or the activities of organizations that work within t sector HIS KEY Functions 01 02 03 04 Data Analysis Communication Compilation and use Generation and synthesis A strong produces reliable, timely and good quality data enables health program managers to monitor, health evaluate and improve health system performance and make evidence-informed information decisions. system Since the 90's, knowledge and understanding of the role of HIS development in global healthcare systems have improved. PAS- Patient Administration System HRMIS- Human Resource Management Information Systems HIS- is an integrated effort to collect, process, report and use health information & knowledge to influence policy and decision-making which requires reliable health statistics Sex/Gender Age Socioeconomic characteristics IS- Information systems - needs to be simple and sustainable Doctors and operators input varying patient information into the systems. Supervisor and managers are responsible for the allocation and management of resources. Directors are responsible for assessing the return on investments made. Service providers should prioritize the quality of care and continuously improve their staff. Hospitals are key users of new technologies, employing them to gain a competitive edge. As a result, technological progress plays a vital role in improving the quality of hospital care. Health Information System Resources Indicators Data Sources Health Metrics Network Data Management Information Products Dissemination and Use Health information systems resources Includes legislative, regulatory and planning frameworks required for a fully functioning health information system including resources that are vital for the system to be functional Indicators A fundamental group of indicators and corresponding targets forms the foundation for a plan and strategy for a health information system. These indicators should cover health determinants, health system inputs, outputs, outcomes, and health status. Data Sources These can be divided into two main categories Population-based approaches (censuses, civil registration and population surveys.) Institution-based data (individual records, service records and resource records.) Data Management Encompasses all aspects data handling from collection, storage, quality-assurance flow to processing, compilation and analysis Information products Data should be transformed into information, serving as the foundation for evidence and knowledge that guides health-related decisions. Dissemination and use Value of health information can be enhanced by making it readily accessible to decision-makers and by providing incentives for information use Transforming data into information Information is of greater value when it is integrated with other information and evaluated in terms of the issues confronting the health system. The point of a health information systems is not just to generate high-quality data, but to convert it into credible and compelling evidence that can be used to inform local health system decisions High quality data stored in a well-structured repository is of little value if it cannot be accessed by users DATA Monitor indicators Compile, manage and for change analyse Better information IMPACT INFORMATION Implement Integrate, interpret decisions Better decisions and evaluate DECISIONS Better health EVIDENCE Format for presentation to planners and stakeholders Influence plans and decisions KNOWLEDGE Timeline 1960's 1970's 1980's Medicare/Medicaid Hospital-wide Diagnosis related group communications Broadened Networking/Personal Computers Expensive mainframes administrative systems Cheaper storage Expensive storage Departmental systems Independent software applications processing Integrated financial and clinical (limited) Shared hospital Smaller computers systems accounting systems Improved terminals and connectivity Managed care financial and administrative systems Departmental imaging (limited) systems Expanded financial and administrative sytems Results review Selected clinical department automation Timeline 1990's 2000's Competition, More integration consolidation Beginnings of outcome- Integrated hospital based reimbursement provider and managed care offering Mobility Broadened distributed computers Emerging cloud Cheaper hardware and storage computers and cloud based data analytics Expanded clinical Emerging, broad-based departmental solutions clinical decision support Increased IDN-like Broad operational integration departmental systems Emergence of integrated with EMR integration EMR offerings

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