Enhancing Community Health Programs: Roles, Operations and Data-Driven Innovations

Abstract

Aims: To examine how data-driven strategies can be integrated into community health programs as innovative approaches for effective operation. Problem Statement: Numerous government engagements in different crucial sectors have limited her concerns about health provision and distribution to many citizens living in remote communities. Health provision characterized with easy accessibility and low cost should not be marginalized and should be the right of every citizen. However, many lives have been lost due to lack of this in some communities. Significance of Study: To curb this, non-profit sectors are now engaging in community health programs to ameliorate the difficulties faced by distanced citizens living in remote localities. With the advent of this program, it is imperative to incorporate data-driven strategies as innovative approaches to improve and enhance the current state of operations in community health programs. Discussion: A medical practice that addresses the well-being of people within a particular geographical location is referred to as community health. This technical review paper discusses the concepts, roles and mode of operations of community health workers and the programs that are embedded. The attributes of a robust well-functioning health system as stated by World Health Organisation (WHO) were discussed alongside program components that are often executed by village workers. Value-based care, patient-centered care and P4 medicine were identified as the major ideologies behind data-driven strategies and the characteristic features of each were adequately discussed. Conclusion: A data-driven healthcare innovative approach must put into consideration the real definition of data management policies, organize training for health care workers who are handling health data and also support the implementation in order to secure the designed information systems.