Assessment of Health Management Information System Implementation in Ayder Referral Hospital, Mekelle, Ethiopia
Kidane Tadesse,
Ejigu Gebeye,
Girma Tadesse
Issue:
Volume 3, Issue 4, August 2014
Pages:
34-39
Received:
3 October 2014
Accepted:
11 October 2014
Published:
20 October 2014
Abstract: Effective Health Management Information System (HMIS) is essential for setting priority for community based problems, for allocation of budget and human resource and decision making in general to managers and stakeholders. In Africa there are many problems in data management in the health sector in relation to missing of data in reports this leads to a picture which could not represent the country health information. A facility based cross sectional study was conducted in Ayder referral and teaching hospital. Six months reports have been assessed including all the data, which were registered in the six month. In addition the tally sheets generated during this six month were also included as part of the assessment. Out of the six-month data used 63.3% was accurate. More than 95% of the reviewed patient cards were complete. Out of the questioned 50 staffs (93%) have good attitude towards HMIS. Data consistency between register and the tally sheets was measured as 72.2% even though the value difference was not largely seen. There was 78.6% an average report completeness measure in the HMIS unit. There was no sign of using the information generated by the facility. Use of accurate data in the facility was low. In addition, information was not still used for action. The original HMIS tallies were not used in the hospital instead minimized and photocopied tallies were used. Refreshing training was not given to staff. Therefore; training should be given to the higher bodies and all staffs about the importance of HMIS and the value of health data in decision making. The performance monitoring team should have to be established. The HMIS unit staffs should have to be trained on basic indicators calculation.
Abstract: Effective Health Management Information System (HMIS) is essential for setting priority for community based problems, for allocation of budget and human resource and decision making in general to managers and stakeholders. In Africa there are many problems in data management in the health sector in relation to missing of data in reports this leads ...
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Estimating Depth of Anesthesia from EEG Signals Using Wavelet Transform
Nusrat Ferdous,
Md. Adnan Kiber
Issue:
Volume 3, Issue 4, August 2014
Pages:
40-44
Received:
29 September 2014
Accepted:
14 October 2014
Published:
30 October 2014
Abstract: Electroencephalogram (EEG) is the brain signal containing valuable information about the conscious and unconscious states of the brain, which may provide a useful tool to measure depth of anesthesia. However, raw EEG signals received in various states of consciousness cannot be distinguished visually. In this paper an approach is presented to find out difference between EEG signals in fully awake and in deep sleep conditions with respect to the coefficients of wavelet transform. Continuous wavelet transform of the raw EEG signal obtained at different conscious state of a human subject have been performed. Statistical analyses were then performed on coefficient values to determine the differences between the sleep state and the awake state. From statistical t-test analysis significant difference of the two state of consciousness was found.
Abstract: Electroencephalogram (EEG) is the brain signal containing valuable information about the conscious and unconscious states of the brain, which may provide a useful tool to measure depth of anesthesia. However, raw EEG signals received in various states of consciousness cannot be distinguished visually. In this paper an approach is presented to find ...
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