Becker's Clinical Quality & Infection Control

45 DATA ANALYTICS & INFORMATICS than ever, to realize the benefit of the tremendous investments in data automation to harness the power of information to predict and forecast aspects of the patient experience and care. Our first foray into predictive analytics has involved the use of algorithms capable of ingesting real-time patient data to forecast expected changes in patient condition and status. If a patient's condition is expected to degrade in a defined time frame, a rapid response team is notified to intervene appropriately, which has resulted in a decrease in adverse patient events. We have only scratched the surface with these capabilities as the use cases are endless for utilizing data to predict what will happen within one hour, four hours or 24 hours regarding patient events, volumes, staffing and supply chain needs. e time is now to disrupt the healthcare experience in positive and impactful ways. Scott LaRosa. Executive Director of Enterprise Analytics and IT at Southcoast Health (New Bedford, Mass.): Predictive analytics is ultimately the payoff of clean workflows and accurate/aligned data alongside an advanced, data-literate culture that is prepared to understand and respond to such information. While predictive analytics may seem to be the Ferrari of data science, we are choos- ing to start with fundamentals of data governance, data stewardship and overall data use education. We have seen predictive analytic tools fail due to a canned ap- proach to a regionalized issue, such as readmissions. e logic must match the need. e way this happens is by including key C-suite executives for support of the logic behind the build prior to launch- ing the tool itself for end users to make decisions from. Where we have seen value, once we have this level of support, is when we mix predictive analytics with real-time reporting and day- to-day workflows, such as by mixing a predictive no-show metric on an existing ambulatory schedule that shows today's appoint- ments. By doing this, we have the ability to target which patients should have a more aggressive call/contact approach to be sure they remember their visit that day, and the busy provider schedule stays on track. Culture, executive support, workflow and education are all key aspects that should come before implementing a predictive tool at any organization. n White House to shift hospital COVID-19 data tracking oversight back to CDC By Jackie Drees T he Biden administration plans to move the federal public health data tracking system back to the CDC following the Trump administration's shift in July 2020, Bloomberg reported Oct. 14. HHS altered hospitals' COVID-19 data report- ing protocols July 15, 2020; under the change, hospitals were required to send information — including capacity, inpatient bed and ICU bed occupancy rates — directly to the state or state contractor, which would send the data to HHS instead of hospitals reporting it to the CDC. At the time, an HHS spokesperson told The New York Times the agency made the switch be- cause HHS' new data tracking system is faster and would avoid lag times the CDC's system had been experiencing. HHS signed off on a recommendation Oct. 1, 2021, to move the data tracking system out of its CIO office's management and back under CDC oversight, according to a document obtained by Bloomberg. The change back to CDC management is intended to support long-term custody and stability of the data system, Kaiser Health News reported Oct. 15. n NIH 'All of Us' precision medicine program hosts 11K Fitbit records, 100K COVID-19 survey response By Hannah Mitchell T he National Institutes of Health's All of Us precision medicine research program uploaded medical data from about 215,000 participants. The NIH released the All of Us database in May 2020, and it is available as a beta version to registered researchers, according to a Sept. 23 news release. The data is hosted on a cloud-based plat- form to enable researchers to look at information across sources, such as EHRs or wearables, to create a comprehensive image of participants' health. Five notes: 1. The database added COVID-19-related survey responses from 37,000 participants and virus-related diagnosis and treatment data from nearly 215,000 participants' medical records. 2. With the additional data, the platform hosts nearly 100,000 COVID-19-related survey insights. 3. Survey responses include data on participants' physical activity, loneliness and social connection levels, and perceived discrimi- nation during the pandemic. Sixty percent of survey respondents reported feeling anxious and 17 percent of participants reported a reduction in income. 4. The program expanded its wearable data to include 11,670 Fitbit records, a 42 percent increase from the last update. 5. Participants' COVID-19 vaccination status will be available in a future data expansion. n

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