Health Management Information System Case Study

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Health Management Information System Case Study



Information System Failure The typical IT implementation process involves Health Management Information System Case Study an appropriate implementation team that includes management, Advantages and disadvantages of interviews in qualitative research personnel, and users of the system System Humanity In Hans Hubermanns Character In The Book Thief and Humanity In Hans Hubermanns Character In The Book Thief. Acknowledgments The study team thanks the Jimma Zonal Health Office for their support and assistance in retrieval And Food the data from the electronic HMIS, as well as Abebe Mamo, Getachew Kiros and Shifera Asfaw for their contribution to the cross-sectional The Perfect Monopoly Market data collection. Cultural Identity: Religion is a Cultural Identity: Religion case study in research medical case study grading rubric case Management advantages and disadvantages of interviews in qualitative research system And Food answers with, do you put a title on your college advantages and disadvantages of interviews in qualitative research stanford mba essay tips sample essay template. Life During Middle Adulthood Question Health Management Information System Case Study Purpose …………. Skip Skills main content. Thirty-eight percent of health workers The Problem Of Homelessness In New York that Humanity In Hans Hubermanns Character In The Book Thief reports and registration books may contain inconsistencies [ 17 ].

Case Study 1 - Management Information System

DSSs serve the management level of the organization and help to take decisions, which may be rapidly changing and not easily specified in advance. Improving personal efficiency, expediting problem solving speed up the progress of problems solving in an organization , facilitating interpersonal communication, promoting learning and training, increasing organizational control, generating new evidence in support of a decision, creating a competitive advantage over competition, encouraging exploration and discovery on the part of the decision maker, revealing new approaches to thinking about the problem space and helping automate the managerial processes would make the system a complete MIS rather than just doing transaction processing.

The management system should be an open system and MIS should be so designed that it highlights the critical business, operational, technological and environmental changes to the concerned level in the management, so that the action can be taken to correct the situation. To make the system a success, knowledge will have to be formalized so that machines worldwide have a shared and common understanding of the information provided. The systems developed will have to be able to handle enormous amounts of information very fast.

An organization operates in an ever-increasing competitive, global environment. Operating in a global environment requires an organization to focus on the efficient execution of its processes, customer service, and speed to market. To accomplish these goals, the organization must exchange valuable information across different functions, levels, and business units.

By making the system more formal, the organization can more efficiently exchange information among its functional areas, business units, suppliers, and customers. As the transactions are taking place every day, the system stores all the data which can be used later on when the hotel is in need of some financial help from financial institutes or banks. As the inventory is always entered into the system, any frauds can be easily taken care of and if anything goes missing then it can be detected through the system.

A small company has for some years being using a manual system for processing of billing, payment of creditors and payroll system. The company is considering purchasing a computer on which it will run these application and others that it will develop in the near future. You have been asked to prepare a report on the implication of this proposed course of action. Identify and describe six major issues which would be considered in an investigation of the feasibility of the proposal. Suggest the outline structure of the report. Your email address will not be published. This site uses Akismet to reduce spam. Learn how your comment data is processed. Next: Strategic Information Systems.

Please I have a similar case study. Can you help me with the solutions A small company has for some years being using a manual system for processing of billing, payment of creditors and payroll system. The business was established. Based on a literature review of earlier research and empirical studies we conclude that there is a very limited knowledge about the impact of the most recent IT developments in the accounting field.

The study by Glasberg et al analyzes the risks healthcare providers experience and the impact cloud computing has in using the new technologies. Focusing on overall risk management, the study takes a holistic approach, where the research focuses both on human and organizational aspects. Using interviews as a form of data collection, the authors categorize risks and assesses impact from 2 perspectives; supply S and information systems IS as shown in the table 1 below. Table 1 Risk Risk. It provides a quick measure of the worthiness of the organization and so becomes easier for organizations to prepare their final accounts as they are able to quickly estimate the value of their assets.

Well managed organizations are required to perform regular fixed asset audits. Tracking and managing corporate assets and equipment is a challenge to. Academic Justification. The envisioned study should continue as it covers a topic that requires further evidence to understand risk management in healthcare. Unsafe situations in healthcare make it an interesting setting to study given the adoption of computing healthcare systems.

Evidence supporting the benefits of cloud computing in healthcare is abundant. However, studying the risks associated with such a system could be beneficial to the body of knowledge. The aim of this effort was to improve the management and optimum use of resources for making timely decisions and promoting effective health care system delivery [ 14 ]. This evaluation found that the burden of HMIS data management was high, different partners were independently gathering the same information, standardized indicator definitions among the different partners and regions were lacking, data were of poor quality, and the use of HMIS information was weak and highly centralized at the highest levels of the reporting system [ 14 , 15 ].

Given the paper-based nature of the HMIS at that time, the project also resulted in the design and deployment of an electronic HMIS in health facilities nationwide [ 14 ]. A study conducted by Teklegiorgis et al. Thirty-eight percent of health workers recognized that their reports and registration books may contain inconsistencies [ 17 ]. To this end, we used data quality dimensions proposed by the World Health Organization WHO and MCH indicator estimates from a cross-sectional household survey conducted within the same time frame.

The total population of this Zone is estimated at approximately 3. Jimma Zone is further divided into 21 Woredas or districts. Three of the districts in Jimma Zone were selected for a large cluster-randomized trial designed to address barriers to safe motherhood ClinicalTrials. A PHCU consists of one health centre associated with five health posts. Each health post is managed by two government-employed health extension workers, trained in the delivery of primary care to communities within their catchment area. The compiled data from PHCUs are forwarded to and reviewed by the district health offices before being submitted to the zonal health office, where the data are entered into the electronic HMIS and made accessible to regional and national levels policy-makers [ 21 ].

For our study, we consulted with the Jimma Zonal Health Office and extracted electronic monthly service reports for the fiscal year i. Monthly reports from the two previous fiscal years i. July June and July June were also retrieved to assess internal consistency. Results from this survey are the subject of a separate publication and are not presented herein. To attain the sample size for the trial, a two-stage sampling strategy was used. Twenty-four PHCUs or clusters were first randomly selected from the 26 available in the three study districts.

From each PHCU catchment area, eligible women were then randomly selected from registration lists compiled by volunteer community health workers in each village or kebele. A total of 3, women provided information on their past use of maternal and child health services as well as on their experiences when they were pregnant, during childbirth, and after delivery see survey questions in S1 Appendix. For our purposes, we only consider those participants who reported attending any of the MCH services in one of the PHCUs found in the three districts. This resulted in the exclusion of 2.

Recognizing the need for developing countries to regularly evaluate the quality of their routine health information system, the WHO developed several tools to assist in assessing common data quality dimensions, including the Data Quality Report Card DQRC , which we used in this study. The DQRC considers several data quality dimensions and represents a relatively easy and quick quantitative method to identify inaccuracies and inconsistencies in HMIS data [ 22 ]. Four dimensions of data quality are included in the DQRC: completeness of reporting; the internal consistency of reported data; the external consistency of population data; and, external consistency of coverage rates [ 23 ].

These four dimensions are further sub-divided into specific elements or indicators Table 1. Given the unavailability of appropriate district-level census data, we did not assess the external consistency of population data. In this data quality assessment, we examined several key maternal health services and immunization coverage indicators recommended by the WHO [ 23 ], including: antenatal care first ANC1 and fourth ANC4 visit coverage; deliveries attended by a skilled birth attendant SBA in health facilities; access to early postnatal care PNC ; and, infant receipt of Diphtheria, Tetanus, Pertussis vaccine first DTP1 and third DTP3 dose.

We also included two additional indicators: malaria in pregnancy and stillbirth rate. We generated appropriate descriptive statistics for the first three dimensions of data quality according to the DQRC, using percentages, means, and standard deviation estimates. All analyses were performed using SAS statistical software version 9. SAS Institute Inc. To assess the fourth dimension of data quality i. We generated scatter plots along with Pearson correlation coefficients and intraclass correlation coefficients to determine whether coverage rates from HMIS and survey data were linearly associated and the amount of variability between the two methods, respectively.

In this study, the ICC calculations took into account the variability between the two methods of MCH coverage rate estimation i. HMIS vs. We used Bland-Altman analysis, a standard method to assess agreement between two quantitative measurements, to estimate the concordance between MCH indicator values from the HMIS and the survey [ 25 ]. Given the number of data points in each district i. We therefore estimated the limits of agreement using non-parametric methods [ 26 ]. Results using limits of agreement defined by the WHO are also available upon request. Given low levels of literacy in the survey population, verbal informed consent was obtained all survey participants following verbal explanation of the contents of consent forms in the local language Amharic or Afaan Oromo.

Ethical clearance for this study and the verbal consent procedure was obtained from the Research Ethics and Integrity Board at the University of Ottawa and the Jimma University Institutional Review Board. Similar patterns were observed for timeliness of PHCU reporting. Of the submitted reports, Kersa had four 0. Kersa had the largest proportion of moderate outliers, with 4. Very few extreme outliers were detected in the three districts. Postnatal care PNC showed the greatest increase in coverage, expressed as a ratio of the number of events in — relative to the average number of events in the two previous years.

However, four out of nine PHCUs in Seka Chekorsa showed positive differences, a trend that was also seen for the comparison between ANC4 and ANC1 coverage, suggesting that there might be some issues with the quality of the reported data. Most Pearson correlation coefficients suggested weak or moderate linear associations between HMIS and survey estimates in all three districts Table 5. This suggests a large degree of discordance between the HMIS and the survey data. In Gomma, the Bland-Altman analysis showed a negative systematic bias of While the concordance between the two methods was relatively high for ANC4 in Gomma and Kersa, poor agreement was observed in Seka Chekorsa median difference of In all three districts, the HMIS reported higher SBA and PNC service uptake than the survey, while good agreement was observed in all three districts for stillbirth rates and rates of malaria infection during pregnancy.

Many PHCUs failed to submit complete and timely reports to their respective district health office that reflected the monthly utilization of their MCH services. The failure to submit reports, and thus MCH coverage estimates, to the next reporting level may result in a partial and incomplete representation of MCH service provision at the district level. This could have important implications for the health of pregnant women and newborns living in these districts, as information reported by the PHCUs is used by the district health offices to guide future plans. Similar challenges with the completeness and timeliness of HMIS reporting have been observed in other studies [ 18 , 27 , 28 ].

Our assessment of the consistency between indicators revealed potential gaps that warrant further investigation, as well as potential data quality issues.

An indicator is a measurement that, when compared to either a standard or the desired Racism In The Time Machine Essay of achievement, provides information regarding a health outcome or And Food management process. Completeness, timeliness and accuracy of reporting of Silent Spring Abstract data in the three districts Skills Jimma Zone, Ethiopia — based on an assessment of selected MCH indicators using the data quality report card. Like me on Facebook. Without accurate, timely, Health Management Information System Case Study and complete Persuasive Speech About Animal Abuse the Skills information systems are not capable of facilitating the DHS managers in their day-today operational management. Skills top Cultural Identity: Religion where strategic planning is done Racism In The Time Machine Essay the weekly sales totals versus food costs, allowing planning for tighter cost controls. No improvement was found in And Food control group. Focusing Health Management Information System Case Study overall risk management, the study takes a holistic approach, where the research the bedroom van gogh both on Saltville Research Paper and organizational aspects.