Conceptualization of a modern digital-driven health-care management information system (HMIS)
-
Hazik Mohamed
Abstract
From our understanding of the limitations of the current health management information systems (HMIS) and their various configurations, the modern HMIS system needs to be adaptable, transparent, and interoperability with other independent systems like insurance systems and private health-care records. This research focuses on the modern HMIS ability to improve the operational efficiency of health-care facilities, generation, and use of medical data for the benefit of its citizens and stakeholders, electronic record-keeping, and the ability to share the data across various systems. Such a system will involve blockchain transactions and the immutable tracking of services extended. In the proposed configuration, the modern HMIS is built to allow data consolidation and improve health-care services and clinical research. The use of data analytics will reduce errors and improve clinical decision making and universal access to critical medical information in real time. Flexibility and the ability to interface and integrate to other systems will play a crucial role in data access and ultimately the cornerstone of an efficient medical record- keeping system. Such a system not only manages the clinical information but it will also manage pharmacy supplies, efficiently dispatch hospital services such as nurse management of the patient, bed transfers, radiography, consultation tracking which will all be integrated into the HMIS modules with real-time visibility via a shared dashboard.
Abstract
From our understanding of the limitations of the current health management information systems (HMIS) and their various configurations, the modern HMIS system needs to be adaptable, transparent, and interoperability with other independent systems like insurance systems and private health-care records. This research focuses on the modern HMIS ability to improve the operational efficiency of health-care facilities, generation, and use of medical data for the benefit of its citizens and stakeholders, electronic record-keeping, and the ability to share the data across various systems. Such a system will involve blockchain transactions and the immutable tracking of services extended. In the proposed configuration, the modern HMIS is built to allow data consolidation and improve health-care services and clinical research. The use of data analytics will reduce errors and improve clinical decision making and universal access to critical medical information in real time. Flexibility and the ability to interface and integrate to other systems will play a crucial role in data access and ultimately the cornerstone of an efficient medical record- keeping system. Such a system not only manages the clinical information but it will also manage pharmacy supplies, efficiently dispatch hospital services such as nurse management of the patient, bed transfers, radiography, consultation tracking which will all be integrated into the HMIS modules with real-time visibility via a shared dashboard.
Kapitel in diesem Buch
- Frontmatter I
- Contents V
- Knowledge engineering for industrial expert systems 1
- Machine learning integrated blockchain model for Industry 4.0 smart applications 13
- Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria 26
- Design of chatbot using natural language processing 60
- Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors 80
- Risk analysis and management in projects 96
- Assessing and managing risks in smart computing applications 122
- COVID-19 visualization and exploratory data analysis 145
- Business intelligence and decision support systems: business applications in the modern information system era 156
- Business intelligence implementation in different organizational setup evidence from reviewed literatures 173
- Conceptualization of a modern digital-driven health-care management information system (HMIS) 187
- Knowledge engine for a Hindi text-to-scene generation system 201
- Index 229
Kapitel in diesem Buch
- Frontmatter I
- Contents V
- Knowledge engineering for industrial expert systems 1
- Machine learning integrated blockchain model for Industry 4.0 smart applications 13
- Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria 26
- Design of chatbot using natural language processing 60
- Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors 80
- Risk analysis and management in projects 96
- Assessing and managing risks in smart computing applications 122
- COVID-19 visualization and exploratory data analysis 145
- Business intelligence and decision support systems: business applications in the modern information system era 156
- Business intelligence implementation in different organizational setup evidence from reviewed literatures 173
- Conceptualization of a modern digital-driven health-care management information system (HMIS) 187
- Knowledge engine for a Hindi text-to-scene generation system 201
- Index 229
