3-2 Milestone One: Draft of Introduction

Draft of introduction, Milestone one
Name
Institution
Draft of introduction, Milestone one
Issues the Hospital Is Experiencing
The Memorial Hospital is facing challenges such as lack of proper data systems for storing, retrieving, tracking and disseminating patients’ information. The hospital is unable to monitor patients’ health, even after being discharged from the facilities, as there are no better platforms for doctor-patient distance interactions. The experience has led to further complications such as issues of medical errors because there are no records to refer. As a result, patients get readmitted or have duplicated test due to lack of past medical history, and the treatment process is done as the initial.
Information to Exchange Between Organizations
Health information such as patient referrals, laboratory results or orders and discharge summaries that get directed to another healthcare professional, can be exchanged between agencies. An organization may not be entirely equipped to offer complete treatments, and when there is need to transfer patients, it is essential their data get shared. The information may be sent over the internet, though in an encrypted form for the matter of security (Langabeer, Champagne & Sullivan, 2016). Another type of information that organizations can exchange is that which raises a critical concern such as public health issues. For instance, in case of an epidemic say like virus outbreak, health departments must share information with other units, inclusive of governmental bodies, to protect the citizens.

Information Not to Exchange Between Organizations
On the other hand, Protected Health Information (PHI) is restricted for exchange between health organizations. PHI are data entries in a medical record that can be used to allocate or identify a person (Goldstein, 2014). If such information gets shared and accidentally land into criminal hands, the patients would get subjected to matters of security threats. Info like age, account number, address or patients name is disclosed to a covered entity which is entrusted to use only for providing health care services. Also, information such as blood test results, phone records, schedule of patients’ appointments with doctors and billing information is personal and cannot be exchanged.
Health Information Exchange Model
I would implement a decentralized or federated model in data sharing process, to facilitate access of information only when it is required for the exchange. Health information is very critical and therefore needs a governing platform whereby its retrieval procedures are significantly regulated (Fragidis, Chatzoglou & Aggelidis, 2016). The model would allow the initiators of a health record, like the providers, to maintain the ownership of the medical records while providing access specifically to those authorized. Despite the cost of maintaining this model, information participants will be assured that data is current from multiple clinical data warehouses. Federated model would not provide a room for conflicts of who owns the data since information is locally saved at the point of services.
How to Extract Data from Health Information Systems
I would use a record locator service (RLS) to obtain health records from the federated information exchange structure. Some hospitals, like Memorial Hospital in the case study, are community-based organization serving a considerable population thus requires efficient computerized information systems. RLS is computer services that allow healthcare providers obtain patents’ data electronically (Raghupathi & Raghupathi, 2014). Health records would be located by use of criteria such as the personal identification document (ID), as record locators are the key to this decentralized infrastructure. The RLS is unique when it comes to information exchange since it is a subject to privacy or security measures, and detects which servers contain specific registered data.
Analyzing Data in HIE To Improve Patient Outcomes
I will use predictive analytics methods to evaluate an extensive data entered into the healthcare industry and avail solutions to health problems. By being able to analyze the current and past recorded data using machines, predictions can get done while health providers become able to identify risks and rising opportunities. Again, by referring Information in the HIE networks, the error will be traced and get reduced, and this will improve patients’ safety (Abramson et al., 20114). Data exchange by healthcare professions facilitate effective communication among the providers, and it is through proper interaction that efficient approach to medical problems get established.
References
Abramson, E. L., Kern, L. M., Brenner, S., Hufstader, M., Patel, V., & Kaushal, R. (2014). Expert panel evaluation of health information technology effects on adverse events. Journal of Evaluation in Clinical Practice, 20(4), 375-382. doi:10.1111/jep.12139
Fragidis, L. L., Chatzoglou, P. D., & Aggelidis, V. P. (2016). Integrated Nationwide Electronic Health Records system: Semi-distributed architecture approach. Technology & Health Care, 24(6), 827-842. doi:10.3233/THC-161231
Goldstein, M. M. (2014). Health Information Privacy and Health Information Technology in the US Correctional Setting. American Journal of Public Health, 104(5), 803-809.
Langabeer II, J. R., Champagne, T., & Sullivan, S. (2016). Exploring Business Strategy in Health Information Exchange Organizations. Journal of Healthcare Management, 61(1), 15-27.
Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health information science and systems, 2(1), 3.