Decision support at digital hospital-case study


Read the CASE study and answer to the questions that follow:

Decision support at Digital Hospital

Heart disease is the number-one killer in the United States, and in cardiac crisis, each minute matters. Indiana Heart Hospital (IHH) is a new cardiac hospital that saves life by radically cutting the time it takes to treat heart attack. Additionally, this for-profit hospital is making profits for its investors, using state of art information and decision support systems.

At IHH, physicians, nurses, administrators and other employees constantly make decisions.  Some decisions should be made very rapidly, so the needed data should be in the right time and place in seconds.

IHH is the first wholly digital hospital in United States.  Let’s take a look at how decisions are supported there.  At the heart of the hospital information system, as of 2005, there were 18 terabytes of data (even more today) stored in  data warehouse, which stores not only historical data, the Shark server enables the storage of both historical and real-time data.  When a patient arrives at the hospital, his or her medical records can be on the screen in 15 seconds, so a quick decision can be made on what treatment or tests the patient needs.  The results of any test are immediately added to the patient’s medical record.  Of the various software used for planning and analysis, especially in the financial area, IHH uses software solutions provided by mezzia.com.  The software enables improved collaboration, and it offers support of financial and operational decisions.  The data and software tools are available to all authorized staff.  All physicians, for instance, carry pocket size wireless devices for data access, entry and communication.  These digital systems enable physicians to type in and send orders to the pharmacy or to testing departments.  All records are digital, including X-ray films.  As well all computer transactions create an audit trail that raises responsibility.

In addition, having more consistent data to analyse promotes best practices which make the hospital more efficient and patients safer and healthier.

The IHH communications and collaborative system (Centricity, from GE Health care) eliminates delays in the supply chain.  Doctors and other employees can consult each other, make quicker joint decisions, and locate needed experts (even outside the hospital) quickly.  Centricity runs across 60 Compaq servers running Windows Server operating system and 600 laptops and other devices.  Some data can be accessed by touch screens, to raise speed.  In addition, there is a computer to each patient room. Medications are tracked by more than 100 wireless bar code scanners.

New devices and technologies are added all the time (e.g. sensors for vital sign monitoring).  The inputs from such devices go directly to the patient’s electronic chart (near the bed) and to the medical records.  The electronic chart facilitates nurses to enter patient status and verifies the output of the automatic vital signs monitoring.  Physicians enter data in the system when visiting patients, so there are no scribbled notes in hospital.  All this facilitates nurses to stay longer with patients, increasing their safety. The digitization has contributed to a 40% reduction in length of stay at the hospital, a 75% reduction in human errors, and an important raise in the number of patients treated in the hospital.
 
Question1. Identify the medical and administrative decisions that the IHH system supports.

Question2. Describe how the IHH system is able to reduce the time required to make medical decisions.

Question3. In your opinion, what administrative decisions which aren’t cited in the case can the IHH system expedite?

Question4. Explain why this is a Decision Support System (DSS) application. Determine its components – the data, models and user interface cited in the case.

Question5. What strategic benefit can IHH derive from its digitization?

Request for Solution File

Ask an Expert for Answer!!
Other Management: Decision support at digital hospital-case study
Reference No:- TGS05816

Expected delivery within 24 Hours