Poor Data Practices in the Healthcare Industry

Data is essential to the modern healthcare industry. In fact, 30% of the world’s data volume is generated by this sector, including information about diagnostics, electronic medical records, and prescriptions. Collecting all of this data properly can lead to incredible outcomes for patients, such as more effective treatments, higher quality of care, faster diagnosis, and a quicker release of new therapies. However, despite all of these clear benefits, 80% of healthcare executives claim that they don’t fully trust their organization’s data and don’t believe they have the resources to use it effectively. 

One of the reasons the healthcare industry’s data is considered poor is that it is derived from several different, fragmented sources. Knowledge experts will have to scour many data types, including census, clinical, reimbursement, staffing, financial, and marketing data, to arrive at a conclusion. Almost 30% of their workweek is spent searching for the right data to perform their job properly. Most large healthcare organizations use an average of 367 software tools in total, which can create a strong sense of login fatigue for these employees. It is recommended that these organizations invest in a data warehouse that is capable of consolidating all of this information from disparate sources into one easy-to-locate repository. 

Going Beyond Big Data for Skilled Nursing Facilities
Source: MegaData