Program effectiveness and survival analysis

Program effectiveness case study

Worldwide organizations conduct camps and other programs on specific diseases. Their mission is to spread awareness and check the outbreak of any disease. Review and feedback analysis for such program effectiveness and survival analysis is crucial.

The lack of a centralised system in many geographies for data collection is an area of concern. As there is no way to make comprehensive analysis and comparisons, health managers need reliable healthcare analytics decision-support tools.

Program effectiveness analysis

The business need for a comprehensive analysis system was critical. It would enable comparative study and analysis using patient-level data, giving health managers a reliable basis for informed decisions. The client wanted to develop a web-based system capturing all electronic patient-level data.

An interactive dashboard showing live data would enable health managers to assess key health parameters. These indicators include various disease care and treatment plans across their patient database. And aid in a comparative study across various regions by age, sex, etc.

Program effectiveness and survival analysis by Infoveave aided the client's requirements. The proposed solution was in two phases:

• Create a common-format data dictionary to ingest patient-level data.
• A low-code, user-friendly data visualization dashboard, to showcase the KPIs tracked. And sends customized reports to respective stakeholders.

Enabling easy access to patient-level data by health officers was the solution. A visualization dashboard set up by Infoveave addressed all the pain points, facilitating enhanced patient-level data analyses.

With data collection and analysis to the last mile, Infoveave was able to summarize a large amount of disease-related data. This helped in better decision-making and complete visibility of the impacts.

Flexibility of Infoveave allowed data ingested to scale as per the data availability. The dataset can be from a single healthcare unit or a country-wide program, for instance. With customized alerts and targets, it was possible to schedule routine follow-ups. With easy display of use case-specific maps and charts in dashboards, one can configure customized charts and graphs as per the need. This enhanced real-time monitoring to the next level. Also, assisted health officers with up-to-date data. Thus, providing a centralized view across geographies. Filtering of the required data facilitates better decision-making.

To Summarize

• Increased scalability: Robustness of the tool is its adaptability to volumes of data. This makes it compatible for both small chunks to large volumes of data processing.
• Better comparative study: By analysis of data from various regions, gender, age groups, and medication facilities provided. With rich data and multiple combinations, it yields better insights and end results.
• High-quality visualisations: To access various parameters of patient data. Efficient differentiation and storytelling through rich visualisations.
• Feasibility of data: Ease to access and use the tool for analytical study of data. Also helps in better understanding the countermeasures through enhanced research.
• Enhanced data usage: Without requiring expertise in statistics and related technology.

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