In this paper, we propose a low-cost wearable technology model to control and monitor chronic diseases for healthcare. We enhance prior models by focusing on low cost components, and we assess the current hardware and systems applications offered in the market. Our proposed model also emphasizes the application of real-time data analysis for the healthcare organization. The model consists of six components: 1. Data acquisition; 2. Data Processing; 3. Information Results; 4. Decision making Support; 5. Technology Platform; 6. Framework for personal data protection. The model was validated with a group of 12 females over 70 years who were diagnosed with tumors at different stages. The preliminary results show that the mean temperature difference between the armpits and malignant tumors is 0.7 ± 0.5, while the mean temperature difference between the armpits and benign tumors is 2.1 ± 0.5.