Five Ways the Healthcare Industry Uses Data Science
- Wearables as Health Monitoring Tools
- Improved Diagnoses and Treatments
- Prevention of Prescription Risks
- Improved Diagnoses and Treatments
- Optimized Healthcare Facility Operations
Technology has become interwoven into the fabric of nearly every possible industry, so it is probably little surprise that there are many ways that data science is used in health care. Data science gives meaning to large volumes of collected data, according to The Berkeley School of Information.
This field has become invaluable to the medical community in its ability to isolate and extract crucial information from massive quantities of collected information. Medical professionals can use this data to learn more about their patients and their medical case history and any ongoing health concerns. This vital information becomes useful for pursuits like predictive analytics and much more.
Related resource: 30 Best Online Master’s Degrees in Data Science
Wearables as Health Monitoring Tools
Wearable fitness devices have gained popularity in the past decade with people interested in measuring their current fitness and making goals for improvements, using the data they collect daily. Medical professionals are increasingly interested in tapping into this well of information. With appropriate care regarding regulatory, compliance and reimbursement matters, Forbes reports that the healthcare industry may soon rely on medical grade wearables to monitor blood pressure, heart rate, blood sugar, breathing and sleep patterns, and much more.
Improved Diagnoses and Treatments
Most everyone has heard of scenarios where patients struggle to find answers about long-time illnesses. Patients go from one specialist to the next, finding no answers. The best diagnosis may lie within their own highly scrutinized health data. According to Forbes, data scientists may find more through focused algorithms, taking certain X-Rays or EKGs, to get closer to the target than any single test or physician can.
Prevention of Prescription Risks
Many patients have certain allergies or previous reactions to medications that can become lost in the mix. However, data science provides a full history of each patient in the database, making it easy and instant for pharmacists to catch a problem before even beginning to fill the prescription. Better still, the physician’s office can catch an issue before writing a prescription missing a previous bad reaction when entering in the patient data into the database.
Communication Tool Between Doctors and Patients
Since there are 47 million U.S. residents who do not speak fluent English, per Forbes, a translation program for medical professionals makes sense and is an amazing use of technology. One app allows physicians to speak right into the app, asking about allergies and other concerns. The app will instantly translate the message into the relative language. Such apps, based on collected data and specific medical technology, has the potential to prevent the need to call in translators whose services can become costly and time-restrictive since the need is often so unpredictable. Most importantly, such a tool can help patients feel more at ease, knowing that they can communicate directly and effectively with their physician.
Optimized Healthcare Facility Operations
Whether focusing on hospitals, hospital networks or smaller clinics, every type of healthcare facility can benefit from the information provided by data science. Machine learning and data science may prove immensely helpful in optimizing staff scheduling to reduce patient wait times and work on long-term projects to build more efficient and effective approaches to optimal healthcare.
Data Science Is Essential to Health Care in the 21st Century and Beyond
The world has become increasingly data-driven, and it is important to embrace what all the data means and how it can help in all respective environments. Data science is used in healthcare to improve the field for everyone involved.