scholarly journals The functionality status and challenges of electronic health management information system: The case of public health centres in Amhara Region, Ethiopia

2018 ◽  
Vol 5 (1) ◽  
pp. 1437672
Author(s):  
Mulusew Andualem Asemahagn ◽  
Udo Schumacher
Keyword(s):  
Public Health ◽  
Information System ◽  
Management Information System ◽  
Health Management ◽  
Health Management Information System ◽  
Amhara Region ◽  
Management Information ◽  
Health Centres ◽  
Electronic Health

Survey of Electronic Health Record (EHR) Systems in Kenyan Public Hospitals: A mixed-methods survey (Preprint)

2018 ◽  
Author(s):  
Naomi Muinga ◽  
Steve Magare ◽  
Jonathan Monda ◽  
Mike English ◽  
Hamish Fraser ◽  
...  
Keyword(s):  
Management Information System ◽  
Health Management ◽  
Public Hospitals ◽  
Health Management Information System ◽  
Adoption Process ◽  
Management Information ◽  
Health Records ◽  
Hospital Administrators ◽  
Ehr Adoption ◽  
Electronic Health

BACKGROUND As healthcare facilities in Low- and Middle-Income Countries (LMICs) such as Kenya adopt Electronic Health Record (EHR) systems to improve hospital administration and patient care, it is important to understand the adoption process, identify the key stakeholders, and assess the capabilities of the systems in use. OBJECTIVE To describe the level of adoption of Electronic Health Records systems in public hospitals and understand the process of adoption from Health Management Information System (HMIS) system vendors and system users. METHODS We conducted a survey of County Health Records Information Officers (CHRIOs) in Kenya to determine the level of adoption of Electronic Health Records systems in public hospitals. We conducted site visits to hospitals to view systems in use and to interview hospital administrators and end users. We also interviewed Health Management Information System (HMIS) system vendors to understand the adoption process from their perspective. RESULTS From the survey of CHRIOs, all facilities mentioned had adopted some form of EHR. Hospitals commonly purchased systems for patient administration and hospital billing functions. Radiology and laboratory management systems were commonly standalone systems. There were varying levels of interoperability within facilities that had more than one system in operation. We only saw one in-patient EHR system in use although many vendors and hospital administrators we interviewed were planning to adopt or support such systems. From the user perspective, issues such as system usability, adequate training, availability of adequate infrastructure and system support emerged. From the vendor perspective, a wide range of services was available to the hospital though constrained by funding and the need to computerise service areas that were deemed as priority. Additionally, vendors were unable to implement some data sharing modules linking to national HMIS due to lack of appropriate policies to facilitate this and users’ lack of confidence in new technologies such as cloud services. CONCLUSIONS EHR adoption in Kenya has been underway for some years, particularly in comprehensive care clinics, and hospitals are increasing purchasing systems to support administrative functions. Considerable support from government, donors and regional health informatics organisations will be required to enable hospitals to move to full EHR adoption for in-patient care.

scholarly journals Data Quality of the Routine Health Management Information System at the Primary Healthcare Facility and District Levels in Tanzania

2020 ◽  
Author(s):  
SUSAN F. RUMISHA ◽  
EMANUEL P. LYIMO ◽  
IRENE R. MREMI ◽  
PATRICK K. TUNGU ◽  
VICTOR S. MWINGIRA ◽  
...  
Keyword(s):  
Information System ◽  
Data Quality ◽  
Management Information System ◽  
Health Management ◽  
Health Centre ◽  
Healthcare Facility ◽  
Health Management Information System ◽  
Management Information ◽  
Service Areas

Abstract Background: Effective planning for disease prevention and control requiresaccurate, adequately-analysed, interpreted and communicated data. This study assessed the quality of routine Health Management Information System (HMIS) data at healthcare facility (HF) and district levels in Tanzania. Methods: HMIS tools used at primary health care facilities (dispensary, health centre, hospital) and district office were reviewed to assess their availability, completeness, and accuracy of collected data. The assessment involved seven health service areas namely, Outpatient department, Inpatient department, Antenatal care, Family Planning, Post-natal care, Labour and Delivery and Provider-initiated Testing and Counselling.Results: A total of 115 HFs in 11 districts were assessed. Registers (availability rate=91.1%; interquartile range (IQR):66.7%-100%) and reportforms (86.9%;IQR:62.2%-100%) were the most utilized tools. There was a limited use of tally-sheets (77.8%;IQR:35.6%-100%). Tools availability at dispensary was 91.1%, health-centre 82.2% and hospital 77.8%, and was poor in urban districts. The availability rate atthe district level was 65% (IQR:48%-75%). Reports were highly over-represented in comparison to registers’ records, with large differences observed at HF phase of the data journey and more profound in hospitals.Tool availability and data quality varied by service-areas, indicators, facility level, and districts, however, with a remarkable improvement over the years.Conclusion: There are high variations and improvements in the tool utilisation and data accuracy at facility and district levels. The routine HMIS is weak and data at district level inaccurately reflects what is available at the HFs. These results highlight the need to design tailored and inter-service strategies for improving data quality.

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