Show results for
Refine by
Locations
- USA
- Alabama
- Alaska
- Arizona
- Arkansas
- California
- Colorado
- Connecticut
- Delaware
- District Of Columbia
- Florida
- Georgia (Us)
- Hawaii
- Idaho
- Illinois
- Indiana
- Iowa
- Kansas
- Kentucky
- Louisiana
- Maine
- Maryland
- Massachusetts
- Michigan
- Minnesota
- Mississippi
- Missouri
- Montana
- Nebraska
- Nevada
- New Hampshire
- New Jersey
- New Mexico
- New York
- North Carolina
- North Dakota
- Ohio
- Oklahoma
- Oregon
- Pennsylvania
- Rhode Island
- South Carolina
- South Dakota
- Tennessee
- Texas
- Utah
- Vermont
- Virginia
- Washington
- West Virginia
- Wisconsin
- Wyoming
Seeding Software In Usa
4 software items found
Manufactured by:smartData Enterprises Inc based inWhite Plains, NEW YORK (USA)
This modernization will be achieved by embedding telehealth in the care continuum at scale. A $3 billion revenue market has the potential to grow to $250 billion. The seeds for success will be sown in the next few months during the COVID-19 crisis. Healthcare systems that come out ahead will be those who act decisively, invest to build capabilities at scale, work hard to rewire ...
by:MIM Software Inc. based inCleveland, OHIO (USA)
MIM Symphony LDR allows for MRI and CT-guided planning for prostate. It is a fully-featured solution without add-on ...
by:PenRad Technologies, Inc. based inBuffalo, MINNESOTA (USA)
PenTrac is designed for facilities that are seeking a solution to improve efficiency and standardization in mammography, patient tracking and MQSA reporting. The program enhances patient care workflow by automating management of patient recalls and reminders, letter generation, statistics and MQSA reports, saving time and money. PenTrac has an easy upgrade path to the full PenRad MIS (mammography ...
by:Verisense Health based inCambridge, MASSACHUSETTS (USA)
The IRB-approved Verisense Digital Health Panel (DHP) bridges the gap in data between the thousands of highly targeted, but small and siloed, scientific studies and the vast, but proprietary, consumer wearables datasets which lack good outcome measures. The DHP enables the integration of many independent studies by collecting device independent raw sensor data and patient reported outcomes at ...