1. How can we help improve our procedures for identifying patients who are most at risk of 30-day readmission?  

BUSINESS IMPACT
According to Kaiser Health News, 9 in 10 general acute-care hospitals have been penalized at least once in the past decade for readmissions. 

Reporting based on data from the Centers for Medicare and Medicaid Services shows over the lifetime of the program, 2,920 hospitals have been penalized at least once. That’s 93% of the 3,139 general acute hospitals subject to HRRP evaluation, and 55% of all hospitals. Moreover, 1,288 have been punished in all 10 years.  

BDO DIGITAL GENESIS SOLUTION
Help improve profitability by reducing 30-day readmission rates. Genesis can work with significantly larger amounts of factors and data to help your organization learn signals from complex interaction of factors to assess risk at a more granular level. AI helps reduce readmission rates by predicting which patients are at risk and allowing clinicians to prescribe intervention strategies before and after the patient is discharged. Once the risk is calculated, a strategy may be implemented to use this information for interventions, thereby reducing their likelihood of readmission and improving patient outcome, while reducing readmission fees for hospitals.


CUSTOMER NEED

2. Are we accurately predicting length of stay (LOS) for patients at admission stage?    

BUSINESS IMPACT
The average insured overnight hospital stay costs about $11,700 and every extra day a patient is at a hospital is a day that a new patient can’t be treated.  

There is a need to help improve patient outcome by more accurately predicting a patient’s (length of stay) LOS at the admission stage. According to the Journal of Healthcare Engineering, researchers were correctly able to predict with 88.31% to 91.53% accuracy the LOS at the preadmission stage for patients with coronary atherosclerosis (CAS) by using an artificial neural network.

BDO DIGITAL GENESIS SOLUTION
With limited bed supply, the utilization of hospital beds is considered economically critical for most hospitals and any policy related to improving bed utilization has profound impacts on the perception of quality in the provided care and satisfaction of patients and physicians. BDO Digital Genesis helps you create a reliable and robust LOS prediction system that could further assist in identifying abnormalities or potential medical risks to trigger additional attention for individual cases that would help in improved patient outcomes and profitability for the organization.

 

CUSTOMER NEED

3. What can we do to help improve medication adherence among our patients in order to reach compliance with value-based care initiatives?  Can we identify a patient’s likelihood to admit at the triage stage to adhere with our value-based care policies?   

BUSINESS IMPACT
According to a study done by CDC, medication nonadherence is associated with higher rates of hospital admissions, suboptimal health outcomes, increased morbidity and mortality, as well as increased health care costs. In the United States, of the 3.8 billion prescriptions written annually, approximately 20% of the new prescriptions are never filled, and among those filled, approximately 50% are taken incorrectly. Direct health care costs associated with nonadherence have grown to approximately $100–$300 billion of US health care dollars spent annually.  

BDO DIGITAL GENESIS SOLUTION
BDO Digital Genesis can help your organization quickly assign an accurate likelihood of medication adherence score to each patient receiving a prescription at discharge. Such a score could help your organization come up with corrective strategies to improve compliance, resulting in improved care and adherence to your value-based care initiatives.    

 

CUSTOMER NEED

4. Is there a way to forecast incoming inpatient volume at our hospitals to improve staffing on hospital floors? 

BUSINESS IMPACT
60% of hospital operational cost comes from staffing. There is a need to help improve patient care by adequately staffing hospital floors by predicting expected incoming patient volume –    

Currently most hospitals use historical averages to forecast expected number of incoming patients. Such forecasts are used to staff hospital floors for the coming day/week/month. According to a study done by researchers at Northwestern University, AI/ML forecasting models outperformed the historical average-based approach by reducing Mean Absolute Percentage Error (MAPE) from 17.2% to 6% in one day ahead forecast and to 8.8% MAPE in a month ahead forecast.    

BDO DIGITAL GENESIS SOLUTION
BDO Digital Inpatient Census Calculator can help your organization by more accurately forecasting the expected number of incoming patients at your hospital. This simulator can quickly predict expected volume at a day- or even a shift level, which can help hospital administrators adequately staff shifts, resulting in much more streamlined processes, reduced costs and improved profitability. 

 

CUSTOMER NEED

5. During which days/times should we double or triple book our outpatient appointments to minimize downtime for our doctors?   

BUSINESS IMPACT
There is a need to reduce staff downtime by predicting which outpatient appointments will be cancelled – According to a study published by National Institute of Health, on average, 18.8% of the outpatient appointments are cancelled at the last minute. The cancellation rate was as high as 27% in some cases. According to the same study each cancelled appointment cost the provider $254.  

BDO DIGITAL GENESIS SOLUTION
With BDO Digital Genesis, you can help improve upon your current outpatient scheduling protocol to include likelihood of cancellation score for each patient to avoid/reduce downtime for the facility staff. Based on the score (higher the score; the greater the chances of cancellation), you could determine if you need to double or triple book a timeslot, thereby, keeping the cancellations to a minimum.