Data predictions for the Healthcare industry

Optimize hospital readmissions, drug adherence, no-show patients and more.

Healthcare and AI

Today's healthcare industries have been using machine learning to gain competitive advantage by increasing efficiency and reducing cost. Optimization of the business area along with value based care is the ultimate goal of all the organizations in the healthcare.

With healthcare data is growing exponentially, Obviously AI can work with you to help turn the piles of data found in electronic medical records, diagnostic data, and medical claims information into cutting-edge insights and predictions tailored to your healthcare application.

Below are some of the key use cases of Obviously AI’s predictive analytics in the Healthcare industry.

1. Reduce Readmissions

Readmissions can lead to significant cost increase for the payer, hospital, as well as patients. Using Obviously AI, you can predict and prevent hospital readmissions. Leading to more efficient use of scarce hospital resources while improving the overall quality of care that patients receive.

2. Predict Drug Adherence

Patients with chronic diseases who do not consistently take their medications lead to more than $100 billion in preventable costs annually. Using Obviously AI, you can predict which patients are less likely to adhere to prescribed drug regimen and create the right intervention plan to increase medication adherence.

3. Predict No-Shows

No-show appointments are costly for providers and payers, but they can also be costly for patients because skipping medical appointments can lead to untreated medical conditions and adverse health outcomes. Obviously AI can help predict these no-shows, allowing decision-makers with the information they need to rearrange schedules, craft interventions, and proactively engage patients.

4. Predict Length of Stay

A primary predictors of cost is length of stay- longer stays not only place patients at higher risk of hospital-acquired conditions, but they also constrain hospital bed availability and physician time. With Obviously AI, you can predict the length of a patient's stay, which creates greater scheduling flexibility, reduces costs, enables targeted interventions for at-risk patients, and helps organizations transform to value-based care.

5. Predict Churn

Payers and providers lose money when members decline renewal with the health plan or when patients do not return to their facilities. Payers and providers can use Obviously AI to incorporate patient retention risks into their organization’s workflow, leading to reductions in non-renewals and patients not returning for further treatments.

Why Obviously AI?

Obviously AI enables every business user at your organization to become a data scientist and run multiple predictions experiments in real time. While alternatives can be costly and extremely time consuming (~weeks OR months), Obviously AI delivers machine learning models in less than 1 minute. We strive to ensure that both you and your patients, win.

  1. Incredible speed: While alternatives can painstakingly take weeks or months to build an ML model, Obviously AI delivers predictions in less than 1 minute.
  2. Built for Business Users: Most ML tools can be daunting to look at as they are heavily tailored for expert engineers. Obviously AI is designed for Non-Technical user looking to not only build ML predictions but also take business action.
  3. Self learning: Predictions made using Obviously AI auto update as new data flows in, allowing them to self-learn in real time based on feedback from the real world. Allowing your predictions to get better over time.
“We were crazy impressed and realized we could do everything we wanted far easier without learning R or writing code.”
- Dan Parry, Tectonic London

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