Data Medx
Data Medx - our Predictive Health Analytics solution applies artificial intelligence to figure out insights from big data sets
Our SaaS platform sits alongside our clients' existing information systems or is embedded within them, directly effecting workflow. Designed to be used across the healthcare industry, Data Medx helps healthcare organizations - payors, providers and others - predict, manage and improve patient outcomes more profitably by simplifying decision making, identifying growth and savings opportunities and optimizing communications
1. Unlock Big Data
2. Predictive Analytics
We use artificial intelligence like "NLP" (Natural Language Processing) to unlock, enhance and rationalize data to prepare it for analysis and machine learning.
3. Action Visualization
Data and insights are not enough. We become part of our clients' workflow, prioritizing the steps needed to optimize treatment plans for both spending and patient outcomes.
We analyze past trends and evidence based knowledge to predict optimal treatment plans for populations and individuals. Real-time updating combined with artificial intelligence helps develop insights humans cannot.
4. Communication
Management
And then we deliver personalized communications - alerting providers, patients and payors of actions. And the system gets better and better.
ACO'S, Large Hospitals, Visiting Nurse Associations and providers of all kinds can be effectively served by Data Medx
Providers are inherently motivated to deliver the highest quality care they can. Now they are asked to reduce costs at the same time. The calculation required to consider tradeoffs among diagnostic and treatment options isn't easy. Data Medx helps. At the point of service or through education that can deliver surprising insights, Data Medx helps providers drive better healthcare while also helping them use data to manage and optimize their own bottom lines.
Through our personalized healthcare approach, we provide patients the necassary tools to give them more control over their healthcare.
We provide patients evidence based knowledge specific to their health concerns, treatment options, alerts and reminders and better access to their physicians. Our system not only helps prevent bad outcomes but spending gets optimized and healthcare just gets better.
Patients
Healthcare Providers
Who we serve
Predict and Intervene
Predictive analytics enables more effective monitoring and greater cost-efficiency for a healthier world.
Cloud Medx is dedicated to finding new and innovative ways to apply our game changing Predictive Intelligence platform to provide solutions for the challenges in the healthcare industry.
Our solutions help providers better understand and manage risk to their patients’ health and at the same time giving patients more control over their healthcare.
Physician Dashboard
The Physician Dashboard includes the following categories:
· Hospital Provider Statistics
· Group Practice Statistics
· Practitioner Profiles (for physicians and other health care providers)
· Primary and Secondary Specialty Listings for Providers
· PQRS Measure Definitions and Outcomes
In addition to displaying relevant statistics and information on all healthcare practitioners and their affiliation with individual hospitals, health systems, and physician group practices, this dashboard also contains the following analytic categories:
· Physician group practice PQRS outcomes
· Group practice internal and external benchmarking
· National and state PQRS targets and benchmarking
· Predictive analytics and outcomes classification
· And more
This comprehensive suite of physician specific analytic dashboards is designed to enable hospitals and health systems, group practices, and individual practitioners track and monitor practitioner quality performance as it relates to CMS incentive programs such as PQRS. The advanced predictive engine built into the product uses sophisticated statistical algorithms to predict outcomes such as length of stay, mortality, and readmissions, etc. at the individual patient level, hospital level, physician panel level, or group practice level.
Hospital Dashboard
Data Medx uses your local hospital data to risk score patients upon admission and throughout their hospital stay to identify patients at risk of readmission before they leave the hospital with 79% accuracy. Our platform’s flexibility allows us to help you target patient interventions, reduce readmissions, and avoid CMS penalties. Overall, Data Medx accurately predicts preventable readmissions that enables care managers to intervene at the point of care.
When patients remain in the hospital beyond the average length of stay, the hospital is at risk for not being reimbursed. CMS benchmarks for length of stay force care providers to maintain care quality while discharging patients in a timely fashion. To achieve this efficiency, case managers and nurses need to be tracking patient progress in real-time – Data Medx provides the power of advanced predictive analytics to these care coordinators without any technical data expertise.
Here’s how predictable Length of Stay works:
· Historical patient data is introduced to the dashboard for a hospital-specific model
· Stratifies patients upon arrival based on hospital averages and patient care history
· The model updates the length of stay estimate as the patient is monitored, assessing risk through all treatments, recent
notes, unit transfers, etc.
· Estimates are compared to hospital averages and CMS benchmarks
· Data Medx displays influencing factors and recommended interventions so care providers can make decisions faster and
earlier than ever before
ACO Dashboard
The ACO Dashboard contains Physician Quality Reporting System (PQRS) performance outcomes for all Accountable Care Organizations (ACO) reporting data to CMS via the Group Practice Reporting Option (GPRO) interface. Data are available starting in program year 2012 for all Shared Savings Program (SSP) and Pioneer Program ACOs that participated via the GPRO web interface. Measures are added automatically as they become available and / or loaded from internal hospital and group practice source systems. The following performance metrics are available:
Quality Metrics and Scoring Methodology
1. ACO_DM_15 – Hemoglobin A1c Control (HbA1c) (< 8 percent)
“If patients with diabetes have blood sugar levels that stay too high, it can lead to heart disease, stroke, and kidney disease. Doctors should use the A1c lab test to check patients’ blood sugar levels and should work with patients with high levels to bring their blood sugar under control.
To give the group practice its score, Medicare looked at the percentage of patients with diabetes who had well-controlled blood sugar levels (less than 8% on their most recent A1c lab test). A higher rate means more of the practice’s patients had their blood sugar under control.”
2. ACO_DM_13 – Blood Pressure (BP) < 140/90 Control
For people with diabetes, keeping blood pressure at a healthy level helps prevent complications including heart disease, stroke, kidney disease, and vision loss. If needed, doctors should work with patients to bring their blood pressure down to a healthier level.
To give the group practice its score, Medicare looked at the percentage of patients with diabetes who had a healthy blood pressure level (less than 140 over 90). Higher rates are better because it means more of the practice’s patients had blood pressure at a healthy level.
3. ACO_DM_17 – Tobacco Non Use
People with diabetes already have a higher risk of developing other health problems (like heart disease and stroke) and using tobacco makes these risks even higher. Doctors should screen all patients with diabetes to see if they use tobacco.
To give the group practice its score, Medicare looked at the percentage of patients with diabetes who did not use tobacco. Higher rates are better because it means more of the practice’s patients did not use tobacco.
4. ACO_DM_16 – Aspirin Use
People who have both diabetes and heart disease have a higher risk of developing other heart problems. Doctors should work with patients who have been diagnosed with both diabetes and heart disease to determine if they should take aspirin on a daily basis to reduce the risk of other heart problems. (Aspirin may not be safe for everyone — it’s best to ask your healthcare professional if you should take aspirin.)
To give the group practice its score, Medicare looked at the percentage of patients with both diabetes and heart disease who were prescribed aspirin OR who had a medical reason why they should not take aspirin. A higher rate is better because it means more of the practice’s patients were prescribed the medication when needed and appropriate. “NA” is listed for group practices when the data are suppressed due to small sample size.
5. ACO_CAD_7 – Angiotensin-Converting Enzyme (ACE) Inhibitor or Angiotensin Receptor Blocker (ARB) Therapy for Patients with CAD and Diabetes and/or Left Ventricular Systolic Dysfunction (LVSD)
If patients with heart disease also have diabetes or if the main pumping chamber of their heart (the left ventricle) is not pumping well, treatment recommendations say that doctors should prescribe an ACE inhibitor or ARB drug. (“ACE” means “Angiotensin-Converting Enzyme” and “ARB” means “Angiotensin Receptor Blocker.”) These types of medication help lower blood pressure and make it easier for the heart to pump blood. Medicare looked at patients with heart disease who also have diabetes or a weakened left ventricle.
The score is based on the percentage of these patients who were prescribed medicine to improve the pumping action of the heart. A higher rate is better because it means more of the practice’s patients were prescribed the medications they needed.