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| title | chunk | source | category | tags | date_saved | instance |
|---|---|---|---|---|---|---|
| MHealth | 2/6 | https://en.wikipedia.org/wiki/MHealth | reference | science, encyclopedia | 2026-05-05T07:30:51.903089+00:00 | kb-cron |
=== Diagnostic support, treatment support, communication and training for healthcare workers === Diagnostic and treatment support systems are typically designed to provide healthcare workers in remote areas advice about diagnosis and treatment of patients. While some projects may provide mobile phone applications—such as a step-by-step medical decision tree systems—to help healthcare workers diagnose, other projects provide direct diagnosis to patients themselves. In such cases, known as telemedicine, patients might take a photograph of a wound or illness and allow a remote physician to diagnose to help treat the medical problem. Both diagnosis and treatment support projects attempt to mitigate the cost and time of travel for patients located in remote areas. mHealth projects within the communication and training for healthcare workers subset involve connecting healthcare workers to sources of information through their mobile phone. This involves connecting healthcare workers to other healthcare workers, medical institutions, ministries of health, or other houses of medical information. Such projects additionally involve using mobile phones to better organize and target in-person training. Improved communication projects attempt to increase knowledge transfer amongst healthcare workers and improve patient outcomes through such programs as patient referral processes. For example, the systematic use of mobile instant messaging for the training and empowerment of health professionals has resulted in higher levels of clinical knowledge and fewer feelings of professional isolation.
=== Disease surveillance, remote data collection, and epidemic outbreak tracking === Projects within this area operate to utilize mobile phones' ability to collect and transmit data quickly, cheaply, and relatively efficiently. Data concerning the location and levels of specific diseases (such as malaria, HIV/AIDS, TB, Avian Flu) can help medical systems or ministries of health or other organizations identify outbreaks and better target medical resources to areas of greatest need. Such projects can be particularly useful during emergencies, in order to identify where the greatest medical needs are within a country Policymakers and health providers at the national, district, and community level need accurate data in order to gauge the effectiveness of existing policies and programs and shape new ones. In the developing world, collecting field information is particularly difficult since many segments of the population are rarely able to visit a hospital, even in the case of severe illness. A lack of patient data creates an arduous environment in which policy makers can decide where and how to spend their (sometimes limited) resources. While some software within this area is specific to a particular content or area, other software can be adapted to any data collection purpose.
=== Treatment support and medication adherence for patients === Remote monitoring and treatment support allows for greater involvement in the continued care of patients. Recent studies seem to show also the efficacy of inducing positive and negative affective states, using smart phones. Within environments of limited resources and beds—and subsequently an 'outpatient' culture—remote monitoring allows healthcare workers to better track patient conditions, medication regimen adherence, and follow-up scheduling. Such projects can operate through either one- or two-way communications systems. Remote monitoring has been used particularly in the area of medication adherence for AIDS, cardiovascular disease, chronic lung disease, diabetes, antenatal mental health, mild anxiety, and tuberculosis. Technical process evaluations have confirmed the feasibility of deploying dynamically tailored, SMS-based interventions designed to provide ongoing behavioral reinforcement for persons living with HIV. among others. Specific mobile applications might also support adherence to taking medications. In conclusion, the use of mobile phone technology (in combination with a web-based interface) in health care results in an increase in convenience and efficiency of data collection, transfer, storage and analysis management of data as compared with paper-based systems. Formal studies and preliminary project assessments demonstrate this improvement of efficiency of healthcare delivery by mobile technology. Nevertheless, mHealth should not be considered as a panacea for healthcare. Possible organizational issues include the ensuring of appropriate use and proper care of the handset, lost or stolen phones, and the important consideration of costs related to the purchase of equipment. There is therefore a difficulty in comparison in weighing up mHealth interventions against other priority and evidence-based interventions.