The Design Criteria in Implementation of a Health Management Information System: a Case of Kenyatta National Hospital

Abstract

The study utilized an in-depth interview schedule for 33 respondents in the design phase who were selected using snow-ball, the data collected from the field was analyzed through the use of univariete and bivariete statistics. Data presentation was in form of descriptive statistics such as frequency distribution, percentages, pie charts, bar graphs and tables.

The data from the design phase were summarized in three main evaluation areas targeting the perception of the HMIS, purposes and processes From the findings, in the design stage although the respondents did not show systematic ordering there was evidence to the effect that the steps were followed during the design phase. From the findings majority of the key informants were able to define HMIS and distinguish the key features of the HMIS. Out of the 33 participants, 13 (33.4%) reported that they knew the persons who originated the idea of the electronic HMIS in KNH, a similar number were involved in the conceptualization of the system, while 4 (12.2%) indicated that they were involved in designing the HMIS and 18 (54.6%) were involved in implementation. Despite the general lack of knowledge on HMIS policy the informants demonstrated adequate understanding of the objectives of the electronic HMIS in KNH. Based on the responses obtained during interviews there were multiple problems related to the manual system that existed in KNH during the pre-implementation stage and these issues served as the basis for objective setting for the current HMIS in the hospital. Most key informants felt that the hypothesized benefits of the current HMIS were being realized including improved efficiency while four key informants felt that the benefits had been partially realized. An evaluation of the manual HMIS was done during which deficiencies of the HMIS were identified through consultations involving HMIS users and stakeholder. A HMIS needs assessment was conducted and formed the basis of the electronic system requirements with specific proposals for improvement of the deficiencies identified in the manual HMIS. An evaluation of the manual HMIS was done during which deficiencies of the HMIS were identified through consultations involving HMIS users and stakeholder. During the interviews the participants were able to highlight various aspects of the IS development cycle and there was evidence to the effect that the steps were followed during the design phase plus an evaluation of the manual system was done during which deficiencies of the system were identified through consultations involving HMIS users and stakeholders.

Based on the results and discussions, among the main problems that key informants described during the design phase was major inefficiencies characterized by evident mismatching of resources input and output which spanned several areas including time, human resources and finances however, participants were able to highlight various aspects of the IS development cycle and there was evidence to the effect that the steps were followed during the design phase, planning plus an evaluation of the manual system was done during which deficiencies of the system were identified through consultations involving HMIS users and stakeholders. As a recommendation we can say that NH and the MOH needs to come up with an established standardized policy for implementing interventions.

Embracing modern technology is one among very many ways of improving efficiency and reducing costs within healthcare organizations. While the integration of information and health services potential benefits cannot be disputed, there are many challenges which affect its adoption, in fact, majority of organizations have abandoned their newly acquired systems only to go back to their old manual systems.

The objective of this study was to determine the design phase of the implemented Health Management Information System at Kenyatta National Hospital. This study was a cross-sectional descriptive study, the targeted population of the study were 35 healthcare workers who were involved in the designing of the Health Management Information System at Kenyatta National Hospital, and the sample technique used was snowball sampling.