Using Data to Improve Hospital Efficiency and Safety

The Missing Piece of the Puzzle is Utilizing Big Data, Specifically, Clinical Intervention Data 

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The Problem

The Solution

Unfortunately, a large amount of data with mixed formats and contexts can be almost impossible to utilize. The challenge is determining how to dissect and digest data in order to detect patterns and craft predictions. 

Hospitals need to make big data small again in order to make it useful.

Access to clinical intervention data allows hospitals to find patterns and make changes for the future. With Clean Hands – Safe Hands, facilities know which clinician is in which patient room and when. This information has a surprising number of benefits. 

  • Improve patient satisfaction by measuring provider visits
  • Reduce nurse burnout by helping nurses be more efficient with their clinical care
  • Reduce the risk of falls by developing algorithms that highlight which patients are at risk of falling
  • Reduce the cost of treating providers by measuring who had contact with a contagious patient and how often
  • Identify the factors leading to the transmission of an infection
  • Correct workflow inefficiencies including when and where they happen

FIND OUT HOW YOU CAN USE CUTTING EDGE DATA TO IMPROVE HOSPITAL EFFICIENCY AND PATIENT SAFETY

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Hospitals have more access to large quantities data- data is collected automatically from smart phones, payer records, patient portals, research studies, and electronic medical records.

Improve Patient Satisfaction

One of the most important aspects of the patient experience is responsiveness and communication. Making a patient wait can not only impact their experience, it can cause them harm. Unfortunately, most hospitals don’t have insight into their wait times or where their problem areas are. Technology can assist in determining provider visit patterns. Hospitals using Clean Hands – Safe Hands have access to this type of information in real time, allowing them to make targeted interventions.

The graphs above represent data from communities that wanted to target their provider interactions and look at provider visit patterns by day of the week, type of shift, and isolation type. With this information, hospital leadership is able to design targeted interventions based on the actual data patterns in their facility. Using data in an actionable way, they are able to improve both their patient experience and clinical workflows.