SISTEM PENDUKUNG KEPUTUSAN KLINIS ANAK BATUK BERBASIS ALGORITMA MTBS
Pneumonia is the leading cause of death for children around the world. Diagnosis plays an important role in medical care. The most important challenge in the management of pneumonia is early diagnosis and appropriate. IMCI algorithm is known to be approach of WHO which is critical in deciding whethe...
Saved in:
Main Authors: | , |
---|---|
Format: | Theses and Dissertations NonPeerReviewed |
Published: |
[Yogyakarta] : Universitas Gadjah Mada
2013
|
Subjects: | |
Online Access: | https://repository.ugm.ac.id/124030/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=64149 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universitas Gadjah Mada |
Summary: | Pneumonia is the leading cause of death for children around the world.
Diagnosis plays an important role in medical care. The most important
challenge in the management of pneumonia is early diagnosis and appropriate.
IMCI algorithm is known to be approach of WHO which is critical in deciding
whether the children with cough due to pneumonia or not because of the
sensitivity high enough to detect pneumonia (97%). One of the biggest health
problems today is medical error. The most common medication errors are
explicitly documented in the medical record. And one of the intended use of
the electronic medical record is to reduce medical errors. Clinical useful
guidelines to improve the quality of care received by patients. Integrating
clinical guideline in a computer format with electronic medical records and
clinical decision support systems (CDSS) to ensure improved quality of health
services.
Research purposes
To developed a clinical decision support system for children with cough and
improve accuracy of IMCI based classification pneumonia therapy in
combination with the electronic medical record to the midwifes at the clinic.
Methodology
The design of the study with action research approach. Prototyping system
development using a rule based system with the format \"IF <symptom> THEN
< classification>\" and \"IF < classification> THEN <therapy>\".
Results
Prescribing antibiotics in the IMCI program in the cough clinic particular child
has not rational. Prescribing antibiotics in patients who cough is a single
diagnosis of pneumonia as much as 39.39%. Treatment of patients with
unstandar doses of antibiotics are at 71.66%. Misclassification to 20 health
centers by 8.41%. This figure does not include 54.83% of data can not be
analyzed because the respiratory rate (RR) patients not written in EMR.
Application generates an electronic IMCI replace paper forms. The advantage
of this application is could be done automatically that classification of cough,
nutritional status, dose kotrimoksasole and amoksisillin, allergy alerts to
antibiotics, immunization schedule reminders, and electronic prescribing.
Clinical Decision Support Systems require integration with the clinical informa
systems and clinical workflow support clinician in providing routine care to
patients.
Conclusion
Electronic medical records do not support recording of IMCI and it's possible
to be integrated with clinical decision support systems to improve the accuracy
of IMCI classification and therapy. |
---|