AI, IoT, BI, and Machine Learning transforming healthcare
How innovative tech solutions help healthcare providers solve their tasks and challenges
Tech solutions are taking the center stage in the healthcare sector. They help medical providers reduce costs, improve patient treatment and health monitoring, and optimize workflow. AI, IoT, BI, and Machine Learning, and other innovative technologies promise to significantly transform the industry.
Mobile and web applications, smart devices, biosensors, wearables, home virtual assistants, predictive analytics, robots, patient health portals represent a truly new stage in the healthcare environment.
When it comes to the benefits of digital healthcare, I should first note the enhanced treatment process, intelligent data analysis, great customer service, automated decisions, continuous patient state control, and successful diagnoses.
Technological solutions changing healthcare
1. Sensors & Smart Devices
Sensor technologies, such as wearable sensors and devices, provide many benefits for health management. Accurate reading and interpretation of indicators with the possibility of connecting sensors to mobile devices enable medical centers to replace heavy medical equipment with smaller devices.
2. IoT solutions for depression treatment
According to the data by the World Health Organization as of March 22, 2018, more than 300 million people around the globe suffer from depression.
Depression is the main cause of disability and is a major contributor to the burden of disease worldwide. Fortunately, important measures for treating it are being taken, including the creation of efficient medical software solutions.
Transcranial direct current stimulation (tDCS), a form of neurostimulation using constant, low current delivered to the required brain area via electrodes on the scalp, is one of the most interesting means of therapeutic depression care.
Sooma, for instance, decided to build an IoT-enabled system for home-based tDCS sessions. To control patient treatment, they collect and analyze large amounts of statistical data.
3. Tech solutions for patient health monitoring & disease control
Remote health monitoring is one of the most important areas for software solutions. You can provide your doctors and patients with various tools for facilitating treatment/illness control and improving communication between users and healthcare providers.
While users are following treatment plans and send reports to doctors, the device collects user data and detects health problems. Doctors, in turn, see all the data in the system and can monitor patient health in real-time.
Data visualization, report and data exchange, instant alerts, the log of disease symptoms, disease journal, action plans are the features that can be implemented.
AsthmaMD, a medical US startup, enables to remotely control asthma and improve the treatment. Learn more about this world's famous app, that was covered by TechCrunch, CBSNews, Wall Street Journal, and others.
You can find a wide range of biosensors that transmit medical information over a wireless network to mobile and web applications. Thanks to them, healthcare providers can control patient treatment and monitor health outside the hospital.
Biosensors can allow users to measure glucose levels, arterial pressure, heart rate, oxygen level, pulse, blood alcohol level, and alert users (and doctors) if some health issues/problems are noticed.
5. Patient healthcare portals
By now, patient health portals have become an essential part of healthcare organizations. Helping provide improved customer service and optimizing operations like request processing and appointment scheduling, they facilitate the life of both doctors and patients.
Imagine, for example, a health portal, that allows patients to consult with doctors and experts online, check out test and lab results, easily make payments, communicate with other patients, find out healthy tips and food recipes, and schedule appointments.
6. Machine Learning solutions
Machine learning can help medical organizations improve customer service, extract value from large data amounts, efficiently analyze medical records, and enhance patient treatment.
Healthcare and pharmaceutical companies are using analytics in R&D, particularly in streamlining clinical trials and decision-making processes. When doctors and other specialists make decisions, the process sometimes looks a bit muddy or limited by the inability to quickly process a lot of information.