For a healthcare data scientist, having lots of data is great. But according to Dr. David Mould in his recent IBM Magazine article, strong predictor variables are even more valuable than having a vast data warehouse. Dr. Mould explores the specifics on how new data sources such as fitness monitors trackers and social media can transform healthcare today.
Current healthcare data warehouses contain lots of data—perhaps even millions of rows of tabular data—and hospital data may be linked to pharmacy and physician data as well. Most of that data is from internal sources, and is relatively easy to collect. From a data scientist’s perspective, having lots of data is great; however, strong predictor variables are even more valuable than having more data. External data sources contain many strong predictor variables, but currently they are challenging to collect. Fortunately, progress is being made to make these rich data sources available to data warehouses.
There are two categories of newly available, potential data sources: real-time data and external data. Access and use of both these data types have the capability to significantly contribute to improved patient outcomes, which in turn helps reduce costs and improve the quality of healthcare for society.
Data feeds to monitors and tracking devices
Real-time data sources include digital activity trackers that have been used by physical fitness buffs for close to 15 years. Some brand names include Fitbit, Jawbone Up, and BodyMedia. These wearable devices track activity and other biometrics by monitoring location with Global Positioning System (GPS), heart rate, skin temperature, perspiration, calorie expenditure, and quality of sleep. Many of these trackers are generally worn on people’s wrists and are Bluetooth-enabled, which allows the data to be downloaded to a smartphone or computer in real time.
Activity tracking can also be used to assist elderly patients who want to live independently, allowing their adult children or caregivers to monitor the patient’s health from afar. For example, a statistically significant deviation in heart rate, temperature, or activity level will alert an adult daughter to a potential problem, prompting her to check in with her elderly mother. Thus, activity trackers can encourage taking proactive steps before a medical crisis takes place, and in this example help an elderly mother avoid an emergency hospital procedure and the accompanying cost.
Large technology companies such as Apple are also getting into the game. The yet-to-be-released Apple iWatch is rumored to feature monitoring of harmful ultraviolet (UV) rays, heart rates, and blood-oxygen levels; using optoelectronics to measure oxygen saturation of hemoglobin; and monitoring the sound of blood flow through arteries.
Programmable pacemakers have been around for years, and even more advanced and smaller surgically embedded devices are currently being developed. These new devices are expected to be embedded into blood vessels, lungs, the brain, and possibly other organs to track and monitor patients’ vital measures such as temperature, oxygen levels, blood flow, and blood pressure in real time. The data will be collected with Bluetooth-like transmissions to be analyzed on smartphones, and a text message can be sent or a phone call can be made to a primary care physician when something is amiss.
Physicians are now entering their notes on tablets or laptops, making this electronic data available in real time.
To read more about external data sources, visit Dr. Mould’s full article published in IBM Magazine, “Rich Data Sources for Abundant Innovation.”
Get our take on industry trends
Healthcare Organizations Recognize Importance of AI for Reporting
Healthcare providers continue to recognize the value of using AI in reporting operations throughout the organization. AI has many strengths when applied to the healthcare industry:
Read on...Why It’s Time for Healthcare to Move Toward AI Reporting
Business intelligence (BI) was a dramatic and significant step forward in healthcare industry reporting and a natural transition to artificial intelligence (AI) enabled real-time insights.
Read on...Why Healthcare Should “Double-Down” on Exploring AI-powered BI for Reporting
Many areas in healthcare rely not only on the collection of data but, importantly, the ability to decipher and act upon it. In that intersection, reporting was born.
Read on...Why Health Plans and Employers Need Stop Loss Reporting
Due to rising healthcare costs and the Affordable Care Act removing the ban on capitated benefits coverage, numerous employers with self-insured health plans often purchase stop loss coverage. This coverage is not medical insurance; but rather, it’s a financial and risk management tool that protects the employer from excessive claims.
Read on...