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Machine Learning Analytics
Care Console solution and tool suite leverages dynamic data, collected virtually from patients’ homes, to detect the earliest indications of clinical deterioration

Leading the industry in terms of accuracy and sophistication predicated on proprietary machine learning fed by 20 years of virtual patient care data.

Advanced Machine-learning capabilities alert clinicians to opportunities that optimize treatment, predict decompensation, better engage patients, and ultimately identify and prevent serious medical events before they occur.

Through AMC’s algorithm-driven platform, clinicians can deliver more timely and effective care leading to significant, demonstrated improvements in clinical outcomes and client ROI.


Our advanced analytics allows us to become the best possible resource to our clients in such domains as:

  • Standard and customized reporting meaningful to your unique program objectives
  • Candidate selection accuracy & enrollment success
  • Performance improvement benchmarking
  • Better tools for gauging patient satisfaction
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Advanced reporting and data analytics
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Patient selection & Stratification
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Alerts and reduced alert fatigue
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Sophisticated machine learning
If additional resources are needed, AMC can provide telecare management and full virtual clinical resources, certified in all 50 states.
Case Studies
Effect of Home Blood Pressure Telemonitoring and Pharmacist Management on Blood Pressure Control
A Cluster Randomized Clinical Trial
Telehealth Program for Medicaid Patients with Type 2 Diabetes Lowers Hemoglobin A1c
Landmark Studies of T2DM have demonstrated significant clinical benefit from intensive management...
Postdischarge Monitoring Using Interactive Voice Response System
Reduces 30-Day readmission rates in a case-managed Medicare population
Can Telemonitoring Reduce Hospitalization and Cost Care?
A health plan's experience in managing patients with heart failure.

Explore our articles about remote patient monitoring, industry news, and much more.

How to Implement Successful Remote Patient Monitoring Services
 A Guide to Scaling RPM for Health Systems Remote Patient Monitoring (RPM) services offer a solution for helping patients manage chronic conditions and optimize their health. But these services can also help health systems overcome strained resources, staffing struggles and caring for a large patient population.  To succeed in virtual medicine, you need to develop a strategy for the program and evaluate the needs of your patient population. Why are health systems turning to RPM and how can implement a successful program? We’ll walk through several crucial steps to implementing and scaling your RPM services for the best chance of success and the highest level of patient care.
Benefits of Telehealth for Payers and Their Members
Telehealth provides a modern way to solve some challenges payers face, including how to improve member care and manage rising healthcare costs. Remote monitoring services and other telehealth technologies provide tools that enable payers to enhance the quality of and access to care while minimizing costs simultaneously. The benefits of telehealth to payers can also be of benefit to members.
Virtual Health May Be the Answer to Fewer Rehospitalizations
Hospitals and Health Systems Are Facing Increased Penalties for Readmission Performance  
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Learn how to expand your approach to patient care through RPM 2.0 and virtual care solutions.
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