Interconnected devices enable, round the clock monitoring of vulnerable patients and also forestall further health threats. Three ways, enabling IOT, benefit healthcare management are;
i. Supervision of drugs and prevention of further health issues- is possible by integrating medical devices into a network of monitoring devices, along with the maintenance of data flow into a centralized repository, to minimize human transcription errors. IOT enables fast access to patient data which helps in detecting drug usage anomalies and even predicting imminent health threats.
ii. Maintenance of hand hygiene, in order to reduce infections- is possible by electronic monitoring, provided by IOT, of say, how many times a hospital personnel visits a hand washing station.
iii. Keeping track of at-risk patients, in their home environment- is again, possible by the amalgamation of monitoring devices and seamless network.  
Read more at: http://healthitanalytics.com/news/three-ways-the-internet-of-things-can-improve-patient-safety

The first step in applying analytics to healthcare data is to create a centralized repository of all the available information extracted from EHRs, health information exchanges, claims data, etc. The main motive remains in interpreting the data to derive valuable insights, which will not only benefit health management, but also fuel business growth. This methodology is also being used to tackle mental healthcare data. Analytics is being used on community data, available in a centralized manner, to identify patients, with more vulnerability to certain mental illnesses. However, since complete information of patients is not always available in such centralized data platforms, inconsistencies in analyses remain. Read more at: http://healthitanalytics.com/news/mental-healthcare-big-data-warehouse-illuminates-care-trends