Magazine Issue | September 30, 2014

September/October 2014 HITO Issue

Source: Health IT Outcomes
From The Editor

Ken Congdon, Editor In Chief, Health IT OutcomesThe ICD-10 Deadline That Wasn’t

The latest delay will prompt healthcare providers to put ICD-10 on the back burner and focus instead on more pressing initiatives like Meaningful Use.

Feature Story

Community Hospitals: What’s Your Health IT Move?

According to our fourth annual Community Hospital Health IT Survey, MU is creating a new breed of unique challenges for small, rural hospitals — challenges that may require drastic changes to address.


Transform Healthcare With Social Media

Patient privacy concerns have kept many healthcare providers from seriously pursuing a social media strategy. However, leveraging these tools effectively can have a profound impact on patient communication and engagement.

Case Studies

Clinicians Lead The Charge For Secure Messaging

Concerned that SMS texting could put patient data at risk, Covenant Medical Group clinicians spearheaded an effort to install a HIPAA-compliant unified communications solution that has resulted in better, and more secure, care coordination.

Electronic Documentation Optimizes Surgery Referrals

Using HIPAA-compliant electronic document exchange, Scripps Mercy Surgery Pavilion improved referral accuracy and staff productivity.

ECM Elevates Hospital’s Documentation Capabilities

A new ECM solution helped Skagit Valley Hospital consolidate important document images and facilitate access, improving staff productivity.


Dealing With Yet Another ICD-10 Delay

How you use the extra year to prepare for ICD-10 could be instrumental in the ultimate success or failure of your transition.

Reducing Readmissions With Remote Monitoring

By deploying remote monitoring technology to patients with congestive heart failure, VNA Rockford has cut its hospital readmissions by nearly one-third.

Analytics Improve Cardiac Diagnosis, Speed, And Accuracy

In a recent pilot study, cardiac specialists have started leveraging data analytics technology to differentiate two commonly misdiagnosed cardiac conditions and improve diagnosis accuracy.