Informatics Engineering in Public Health

Informatics Engineering in Public Health

Informatics Engineering in Public Health. Public health informatics: focuses on population to support public health services, education and learning.

5 (five) Important Agenda for building public health informatics
1. Support for the development of a Management Information System (SIM) in the health sector.
2. Standard determination is in accordance with the intended use, and is carried out with cooperation and collaboration of various parties.
3. Strengthening Regulation and Policy.
4. Improve human resources in the field of public health informatics.
5. Support the development of cooperation of all parties, especially related stakeholders.

Also Read: Understanding Expert System

Sittig and Haux’s five-point health informatics achievement assessment:

Firstly the health information system (point 1 Haux) is represented in a very complex hospital information system. In addition to supporting management interests for efficiency and reporting purposes, hospital information systems can also improve the quality of health services to patients.

Secondly medical documentation (point 2 Haux) records all important data obtained during patient care. Information in medical documentation is use to support medical decision making, research and legal aspects.
Thirdly with the discovery of medical image processing tools (point 4 Haux), such as Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET), the ability to detect minor abnormalities in tissue non-invasively is better. In addition to diagnosing, medical image processing has also applied to the therapeutic process, such as radiotherapy technology dose planning and guidance for minimally invasive surgery.

Fourthly through modeling and knowledge representation, knowledge-based support of diagnosis and therapy (point 5 Haux) is utilize to assist clinicians in making a diagnosis and choosing the right therapy. At the beginning of its development, the knowledge-based support system develop for special purposes, such as the MYCIN expert system for diagnosing infectious diseases and generally the system stands alone, such as QMR, DxPLAIN (point 5 Sittig). In further developments, the clinical decision support system has integrated into the hospital information system (point 3 Sittig).

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