Health Management Information Systems (HMIS)

Flashcards covering key vocabulary related to Health Management Information Systems (HMIS), its definition, roles, functions, elements, and performance determinants based on the provided lecture notes.

Health Management Information System (HMIS)

An information system specially designed to assist in the management and planning of health programs, as opposed to delivery of care, according to the World Health Organization (2004).

Traditional Healthcare Administration Problems

Challenges prior to HMIS, including manual patient registration, time-consuming document creation, duplicate record risks, storage and retrieval difficulties, high maintenance costs, and delayed access to real-time data.

HMIS as a Building Block

One of the six essential components for health system strengthening, specifically designed to support planning, management, and decision-making in health facilities and organizations.

Routine-Monitoring System

A function of HMIS that monitors and evaluates processes, using indicators to provide warning signals and improve health care management decisions.

Complete (HMIS Characteristic)

An HMIS should provide information on all key aspects of the health system without duplication.

Consistent (HMIS Characteristic)

If similar information is provided by different sources, their definitions need to be uniform.

Accessible (HMIS Characteristic)

Data in an HMIS should be held in a form readily available to all legitimate users.

Confidential (HMIS Characteristic)

An HMIS must ensure that people without legitimate access are effectively denied information.

Data Input

The first phase of information processing in HMIS, which includes data acquisition and data verification.

Data Management (Processing Phase)

The second phase of information processing in HMIS, which includes data storage, data classification, data update, and data computation.

Data Output

The final phase of information processing in HMIS, which includes data retrieval and data presentation.

Data Acquisition

The generation and collection of accurate, timely, and relevant data, often facilitated by standard coded formats like bar codes in an HMIS.

Data Verification

The authentication and validation of gathered data, where quality largely depends on the authority, validity, and reliability of the data sources.

Data Storage

The preservation and archival of data, including methods for archiving accumulated data that are no longer actively used, within an HMIS.

Data Classification (Data Organization)

A critical HMIS function for increasing system efficiency when conducting data searches, typically based on key parameters like diagnostic classification schemes.

Data Computation

Various forms of data manipulation and transformation, such as using mathematical models, statistical approaches, and other analytic processes for strategic decision-making in an HMIS.

Data Update

The process of accounting for new and changing information through constant monitoring and established mechanisms for reflecting ongoing manual or automated transactions in an HMIS.

Data Retrieval

Processes of data transfer and data distribution, concerned with transmitting required data from the source to the appropriate end-user in an HMIS.

Data Presentation

How users interpret information produced by an HMIS, using summary tables, statistical reports, or presentation graphics for managerial decision analysis and understanding data trends.

Determinants of HMIS Performance

Factors that influence how effectively an HMIS operates, categorized into Behavioral, Organizational, and Technical aspects.

Behavioral Determinants (HMIS)

Factors related to the knowledge, skills, attitudes, values, and motivation of the people who collect and use data within an HMIS.

Organizational Determinant (HMIS)

Factors related to the health workers' environment, including structure, resources, procedures, support services, and the culture that affects the Routine Health Information System (RHIS) process.

Technical Determinants (HMIS)

Factors involving the overall design used in information collection, such as the complexity of reporting forms, data collection procedures, and the design of computer software.

PRISM Framework

Performance of Routine Information System Management (PRISM); a conceptual framework that broadens the analysis of routine health information systems to include Behavioral, Technical, and Organizational/environmental determinants.

PRISM Framework Purpose

To identify strengths and weaknesses within a routine health information system and their correlations, aiding in designing and prioritizing interventions to improve RHIS performance, health system performance, and health outcomes.