INTRACEREBRAL HEMORRHAGE (ICH) INCIDENCE PROFILE IN JEMURSARI ISLAMIC HOSPITAL DURING THE PERIOD 2017-2019

Background: Intracerebral hemorrhage or ICH or hemorrhagic stroke is caused by bleeding within brain parenchyma. Riskesdas reported that stroke patients in Indonesia experienced an increase from 7 permil in 2013 to 10.9 permil in 2018. Mortality rate for ICH is estimated 40% in 1 month and 54% in 1 year. Rumah sakit Islam Jemursari (RSI) is the only type B hospital in Wonocolo sub-district, Surabaya city. This study aimed to analyze the pattern of incidents and variations of ICH at RSI Jemursari Surabaya.Method: This was a descriptive observational study. Medical record data is collected from 2017-2019. The data were obtained from medical records section of total number of ICH, gender, age and outcome of patients. Furthermore, data is analyzed and illustrated through a bar chart and the frequency of mortality is calculated.Results: Total ICH patients at Jemursari Hospital were 310 with 192 male patients and 118 female patients over 3 years. Meanwhile, the most groups experienced ICH were 45-64 years, followed by +65 age group. This is consistent with several epidemiological studies related to ICH, where the incidence of ICH increases with increasing age. The mortality rate for ICH patients, in the 2017-2019 periode, was around 23-30%.Conclusion: It can be concluded that male more susceptible to ICH than female subjects. Meanwhile, the mortality rate for ICH patients ranged from 23-30% in the 2017-2019 period. It is necessary to carry out further evaluation related to other data from the patient. So it could describe incidence rate as well as an overview of the ICH profile at RSI Jemursari.

Does the Type of Records Affect the Estimates of the Parameters?

A general family of distributions, namely Kumaraswamy generalized family of (Kw-G) distribution, is considered for estimation of the unknown parameters and reliability function based on record data from Kw-G distribution. The maximum likelihood estimators (MLEs) are derived for unknown parameters and reliability function, along with its confidence intervals. A Bayesian study is carried out under symmetric and asymmetric loss functions in order to find the Bayes estimators for unknown parameters and reliability function. Future record values are predicted using Bayesian approach and non Bayesian approach, based on numerical examples and a monte carlo simulation.

Layered Lossless Compression Method of Massive Fault Recording Data

In order to overcome the problems of large error and low precision in traditional power fault record data compression, a new layered lossless compression method for massive fault record data is proposed in this paper. The algorithm applies LZW (Lempel Ziv Welch) algorithm, analyzes the LZW algorithm and existing problems, and improves the LZW algorithm. Use the index value of the dictionary to replace the input string sequence, and dynamically add unknown strings to the dictionary. The parallel search method is to divide the dictionary into several small dictionaries with different bit widths to realize the parallel search of the dictionary. According to the compression and decompression of LZW, the optimal compression effect of LZW algorithm hardware is obtained. The multi tree structure of the improved LZW algorithm is used to construct the dictionary, and the multi character parallel search method is used to query the dictionary. The multi character parallel search method is used to query the dictionary globally. At the same time, the dictionary size and update strategy of LZW algorithm are analyzed, and the optimization parameters are designed to construct and update the dictionary. Through the calculation of lossless dictionary compression, the hierarchical lossless compression of large-scale fault record data is completed. Select the optimal parameters, design the dictionary size and update strategy, and complete the lossless compression of recorded data. The experimental results show that compared with the traditional compression method, under this compression method, the mean square error percentage is effectively reduced, and the compression error and compression rate are eliminated, so as to ensure the integrity of fault record data, achieve the compression effect in a short time, and achieve the expected goal.

Chasm Between Cancer Quality Measures and Electronic Health Record Data Quality

PURPOSE The Medicare Access and CHIP Reauthorization Act of 2015 (MACRA) requires eligible clinicians to report clinical quality measures (CQMs) in the Merit-Based Incentive Payment System (MIPS) to maximize reimbursement. To determine whether structured data in electronic health records (EHRs) were adequate to report MIPS CQMs, EHR data aggregated by ASCO's CancerLinQ platform were analyzed. MATERIALS AND METHODS Using the CancerLinQ health technology platform, 19 Oncology MIPS (oMIPS) CQMs were evaluated to determine the presence of data elements (DEs) necessary to satisfy each CQM and the DE percent population with patient data (fill rates). At the time of this analysis, the CancerLinQ network comprised 63 active practices, representing eight different EHR vendors and containing records for more than 1.63 million unique patients with one or more malignant neoplasms (1.73 million cancer cases). RESULTS Fill rates for the 63 oMIPS-associated DEs varied widely among the practices. The average site had at least one filled DE for 52% of the DEs. Only 35% of the DEs were populated for at least one patient record in 95% of the practices. However, the average DE fill rate of all practices was 23%. No data were found at any practice for 22% of the DEs. Since any oMIPS CQM with an unpopulated DE component resulted in an inability to compute the measure, only two (10.5%) of the 19 oMIPS CQMs were computable for more than 1% of the patients. CONCLUSION Although EHR systems had relatively high DE fill rates for some DEs, underfilling and inconsistency of DEs in EHRs render automated oncology MIPS CQM calculations impractical.

Evaluasi Ketepatan Antibiotik pada Pasien Sepsis

The administration of early intravenous antibiotics was one of the fundamental procedures in sepsis. Inappropriate of antibiotics in septic patients has an impact on mortality and prolongs treatment. The purpose of this study was to evaluate the appropriateness of antibiotics therapy in hospitalized sepsis patients in Central Java based on the parameters right indication, right patient, right drug, and the right dose. This study was observational. Data collected retrospectively and analyzed descriptively. Sampling was done by purposive sampling. The inclusion criteria were inpatients diagnosed with sepsis who received antibiotics therapy with complete medical record data. The exclusion criteria were patients who died of sepsis. Antibiotics analyzed using the DIH 25th edition 2016, IONI 2014, Tata Laksana Sepsis Pada Anak IDAI 2016, Neofax 2014, Kepmenkes PNPK Tata Laksana Sepsis 2017, PPK RS, and SHC Antimicrobial Dosing 2017. Based on data from 108 patients who fulfilled the inclusion criteria obtained results right indication 100%, right patient 97.22%, right drug 90.74%, and the right dose 48.15%. The most used antibiotic was a combination of ampicillin and gentamicin (41.67%), while the single antibiotic was ceftriaxone (12.96%).

Systematic Review of t he Study of Flood Risks u sing Remote Sensing

Floods are one of the most devastating natural disasters that cause various losses by having an excess of rainfall in a short period of time, they cause a high flow in rivers, subsequently damaging crops and infrastructure. They also cause sedimentation of reservoirs and therefore limit the ability of existing dams to control floods. In other words, the purpose of assessing the risk of a flood is to identify the areas of a plan that are at risk of flooding based on the factors that are relevant to the risks of flooding. Therefore, it is important to create a flood map that is easy to read and quickly accessible. Maps provide a stronger and more direct impression of the spatial distribution of flood risk, like diagrams and verbal descriptions. On the other hand, the repeated taking of satellite images in periods of time of a few days makes it possible to know the evolution of the floods, helping the authorities to access the affected population, as well as to define safety areas. The current work aims to systematically evaluate the study of flood risk through remote sensing. A qualitative analysis was carried out through which 80 articles indexed between 2017 and 2021 were reviewed, distributed as follows: 49 articles are from Scopus, 10 from Ebsco and 21 from ScienceDirect; It is concluded that geographic information system together with remote sensing technology are the key tools for flood monitoring, as it is a very cost-effective way to reliably deliver the required data over a large area, as well as record data under extreme conditions to overcome the limitations of ground stations

Diagnostic Overview and Management of Adult Pulmonary Tuberculosis Patients Inpatient at RSU Royal Prima Medan in 2020

Tuberculosis is an inflammatory disease of the lung parenchyma caused by infection with Mycobacterium tuberculosis. This research aims to find out the description of the diagnosis and management of adult pulmonary TB patients hospitalized at RSU Royal Prima Medan in 2020. This study is a descriptive study. This study is based on medical record data on inpatients with a diagnosis of pulmonary TB at the Royal Prima General Hospital Medan in 2020. The youngest patient was 18 years old and the oldest was 82 years old. The main complaint was shortness of breath (53%), additional complaints were cough (48%), symmetrical physical examination of the thorax (91%), positive sputum smear examination (72%), combined medical management of pulmicort + fumadryl + paracetamol + levofloxacin + OAT category I (72%), the longest length of stay was 7-8 days (38%), the shortest was 11-12 days (1%). In conclusion, pulmonary TB occurs more in men in the 37- 45 year age group (22%), the most complaints are shortness of breath (53%), and the most widely used combination treatment is pulmicort + fumadryl + paracetamol + levofloxacin + drugs anti tuberculosis category I (72%).