How AI is Transforming Public Health
Exploring real-world applications of AI/ML in health data systems. […]
Author: Mike B
- Website
- https://digihealthcatalysts.com
- About Mike B
- Mike Bitok is an accomplished Digital Health and Data Analytics Implementation Manager celebrated for his proficiency in data management, data-driven analytics, systems integration, and business systems analysis, design, and development.
Posts by Mike B
Transforming Healthcare: The Role of Blockchain in Drug Traceability
Inspired by a prior pursuit of a Ph.D. in this subject area, this article explores the transformative potential of blockchain technology in healthcare, with a particular focus on drug traceability. From safeguarding patient safety to enhancing transparency in the pharmaceutical supply chain, blockchain is revolutionizing the way we manage medications. Join us in delving into […]
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Navigating Data Policies and Preparedness in the Global AI Healthcare Odyssey
The global journey of AI in healthcare is not only about innovation and technological prowess; it also delves into the intricate realm of data policies, preparedness, and data security. As nations weave their unique threads of AI innovation into healthcare, they also grapple with the challenge of safeguarding patient data and harnessing the power of […]
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Building a Rewarding Career in Digital Health and Data Analytics
Introduction In the ever-evolving landscape of healthcare and technology, a career in digital health and data analytics holds immense promise. This blog post aims to provide insights into how you can embark on this journey, with a particular focus on opportunities in low-middle-income countries (LMICs). Whether you aspire to work with NGOs, government agencies, or […]
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Harnessing the Power of Digital Health and Data to Navigate the COVID-19 Pandemic
Contact Tracing Apps: Contact tracing apps, such as the NHS COVID-19 app, Aarogya Setu, and TraceTogether, leverage location and proximity data to trace the virus\\\’s spread. When a COVID-19 case emerges, these apps rapidly notify and alert close contacts, enabling swift isolation and testing. This digital contact tracing has played a pivotal role in curbing […]
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Enhancing Data Collection and Analytics in Resource-Constrained Settings: Open-Source Solutions for Informed Decision-Making
Collecting and managing data effectively in resource-constrained settings, such as Low- and Middle-Income Countries (LMICs), can be challenging but crucial for informed decision-making and program management. Open-source solutions offer cost-effective and customizable tools to address these challenges. This article explores effective ways to collect data in LMICs using open-source tools, providing examples, explanations, and use […]
Low-Cost Health Care Analytics for Low and Middle-Income Countries
Healthcare systems in low and middle-income countries (LMICs) often face numerous challenges, including limited resources, infrastructure constraints, and a high burden of diseases. These constraints necessitate innovative approaches to optimize healthcare delivery and resource allocation. One such approach is the utilization of low-cost health care analytics, which can play a transformative role in improving healthcare […]
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Leveraging Apple Watch Data for Preventive Medicine Analytics
Introduction The integration of wearable technology into healthcare has ushered in a new era of preventive medicine. Among these devices, the Apple Watch stands out as a powerful tool for collecting health data. Its myriad sensors and user-friendly interface make it a valuable resource for individuals seeking to monitor their health and for healthcare professionals […]
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DHIS2 Tracker/Event – Power BI data modeling
DHIS2 provides a robust Web API that allows external systems or tools to access and manipulate data stored within your DHIS2 instance. This API is particularly useful for the following purposes: In this writeup I will focus on describing how to construct a Tracker/Event-based data model within PowerBI. The Tracker Web API in DHIS2 encompasses […]
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