- BHA FPX 4106 Assessment 1 Information collection.
Information collection
To accomplish this level of quality care assessment for patients with diabetes treated by our physician group appropriate information must be obtained as follows: This review will be specific to those patients who are at the stage of maturity and have been diagnosed at our practice over the past five years to be having diabetes. This information will be important especially when comparing the care being delivered to the national set standards and requirements. To achieve this, only particular data from our existing Health Information Systems shall be searched and obtained selectively.
This will involve determining some of the forms of documentation that would provide some of the details on how the patient is being handled as well as details on the patient’s response to the management that is being provided to him or her; such forms include the history and the physical examination notes, the progress notes, the laboratory results, and the medication lists. The data to be gathered will include a broad range of elements of patient care, these would include diagnostic details, management plans as well as results.
Using our EHR and incorporating information from other point-of-care (POC) systems, we will guarantee that we collect all the information needed without violating patient privacy and data security. As Johnson et al., (2020) highlighted in their most recent finding EHR systems have been found to play a significant role in the improvement of the quality of care outcomes through the optimization of data collection and retrievals.
Confidentiality and Security Measures
To be able to distinguish between what must remain confidential and what measures are necessary for the security of health information, one needs to know that confidentiality is about the processes and legislation that dictate the parameters of access and disclosure of the patient’s data. Confidentiality measures are aimed at preventing some specified health information from being disclosed by unauthorized persons, but it is more interested in who should be allowed to get access to such information on a need-to-know basis for purposes of providing treatment to a particular patient.
This includes measures such as role-based access control whereby only a user with an authorization level can access a certain aspect of the company. Security refers to practical measures put in place to prevent health information from being accessed, used, modified, or destroyed by unauthorized individuals. Security measures are more extensive and encompass technical controls like encryption and firewalls, multi-factor authentication, and intrusion detection systems that make it impossible for systems and networks that contain the patient’s health information to be breached by outside and inside threats (Wager, Lee, & Glaser, 2019).
BHA FPX 4106 Assessment 1 Information collection
Where confidentiality deals with the right use and treatment of patient information to guarantee privacy, security is concerned with the protection of the platform that supports health informatics information’s safe storage and transfer. Confidentiality is a safeguard that should be adopted to meet some of the legal requirements as perceived under the Health Insurance Portability and Accountability Act (HIPAA).
Confidentiality compliance safeguards the patient’s identifier and protects their information as required by law while security compliance deals with the larger role of protecting ePHI from breaches and other ill-begetting incidents (HealthIT. gov, 2020). These measures collectively present a multifaceted strategy for preserving patients’ information and people’s confidence in medical facilities.
Health Information Confidentiality, Privacy, and Security
Compliance with rules and regulations of health information confidentiality, privacy, and security needs knowledge of laws and policies that protect such information. Magnificent as it is, the basic legislation on which HIPAA is based was passed in 1996 under the title ‘Health Insurance Portability and Accountability Act’. HIPAA has two parts that healthcare entities are required to follow; the Privacy Rule and the Security Rule. The Privacy Rule also sets out patients’ rights concerning their information and the uses and disclosures that are permitted about such information.
The law makes entities that handle personal health information put in place measures that limit the access of PHI to only those who have the right to do so; besides informing patients on their privacy rights and how their information will be used (U. S. Department of Health and Human Services, 2019). The Security Rule extends provisions of the Privacy Rule and concentrates on the safeguard of the ePHI.
BHA FPX 4106 Assessment 1 Information collection
It requires covered entities to have administrative, physical, and technical measures to protect ePHI from improper disclosure, alteration, or destruction. Policies and procedures that are mandatory under the Security Rule are; performing risk analysis to conduct a threat assessment of ePHI, access controls to instruct who will be allowed to use or view the ePHI, and methods of data handling including encryption, especially when transmitting ePHI.
Information Systems
When trying to determine what information system or information systems give the desired information for quality of care study, some obvious and precise questions have to be asked so that you know what information system is capable of providing the necessary support to the research. Such criteria include the accuracy of data, compatibility of the system, its usability by the user, its security as well as its flexibility to accommodate a large number of users.
-
Data Accuracy and Integrity:
For the chosen information system, it needs to offer accurate and reliable information. This includes the analysis of accuracy where the system is assessed on its ability to load the data of patients without producing wrong results. For the quality of care indicators to be meaningful, data accuracy is paramount to prevent the formulation of baseless and unworthy comparisons with other healthcare centers and national standards. Writing data into the EHRs thus increases the reliability of the system in such studies especially if the data validation checklists are well developed in the system.
-
System Interoperability:
Interoperability is the capacity of the system to integrate with other systems and transfer data between it and other systems. In a quality of care study, the researcher may need to extract data from a variety of sources including hospitalization records, emergency department presentations, and records from primary care providers. An integrated system can pull data from more than one health information system and this will mean that the collected data will be complete data representing the greater whole that is the patient care. Systems are usually preferred as they have standard formats and protocols such as HL7 or FHIR to provide data exchange compatibility.
-
User Accessibility and Usability:
The information system has to be easy to use to enable healthcare professionals to access and use the information. This criterion can be defined as assessing the possibility of using the system and comprehensibility of the support resources. This would be disadvantageous in the aspect that users might find the system hard to navigate or it takes a long time to learn, therefore, making data retrieval slow and sometimes erroneous. Thus, the priority is given to the systems with simple and clear interfaces and with the required number of training facilities.
Steps of the Health Care Information Life Cycle
The main procedures and systems involved in information life cycle management in a healthcare setting are as follows to avoid compromising patient data.
BHA FPX 4106 Assessment 1 Information collection
-
Collection:
The process of information collection starts with a recording of patients’ data with the help of the EHR systems compatible with the interoperability standards, for instance, HL7 or FHIR. This makes it possible to transfer data from one platform to another still in a more desirable form. When collected, data is recorded using forms and codes by only authorized healthcare providers to enhance comparability (HealthIT. gov, 2020).
-
Documentation and Interoperability:
For the documentation to be interoperability it should be rendered in a format that conforms to the interoperability standard and coded in a manner that the data can be easily transferable. It involves minimizing variation in data by making sure that data from one health system can easily be interpreted and used by another health system this can be achieved by the use of codes (ICD-10 for diagnosis, CPT for procedures) among others (Wager, Lee & Glaser, 2019).
-
Integration into a Health Information Exchange (HIE):
IS integration into an HIE facilitates access to patients’ details among various providers and organizations. This process entails that data is well translated into the required formats and more to this; the patient information is encrypted during exchanges to enhance their privacy (Hersh, 2019).
Conclusion
In conclusion, the collection of such information is crucial in assessing the quality of care offered in a franchise by a physician group. It is hence important for the organization to have disease-specific data, for example, data concerning diabetes or myocardial infarction, and serious information systems for collecting patient data to evaluate care quality. The selected systems should be capable of providing accurate, interrelated, and secured data for proper and efficient acquisition of information.
Protecting the rights of the patients and meeting the required legal requirements on the use of their information require the enhancement of data management at the PCHS by systematically managing the phases of the data life cycle which includes collection, storage, access control, and disposal. This approach, in addition to providing the necessary structure for a thorough assessment of care quality, strengthens the practical implementation of improvements and guarantees organizations competitiveness in the sphere of healthcare services. Read more about our sample BHA FPX 4102 Assessment 2 Emotional Intelligence for complete information about this class.
References
Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: Management, analysis and future prospects. Journal of Big Data, 6(1), 1–25. springer.
https://doi.org/10.1186/s40537-019-0217-0
Esmaeilzadeh, P. (2018). The effects of public concern for information privacy on the adoption of health information exchanges (hies) by healthcare entities. Health Communication, 34(10), 1202–1211.
https://doi.org/10.1080/10410236.2018.147133 6
Hathaliya, J. J., & Tanwar, S. (2020). An exhaustive survey on security and privacy issues in healthcare 4.0. Computer Communications, 153(1), 311–335.
https://doi.org/10.1016/j.comcom.2020.02.018
Kneck, Å., Flink, M., Frykholm, O., Kirsebom, M., & Ekstedt, M. (2019). The information flow in a healthcare organisation with integrated units. International Journal of Integrated Care, 19(3).
https://doi.org/10.5334/ijic.4192
Lv, Z., & Qiao, L. (2020). Analysis of healthcare big data. Future Generation Computer Systems, 109(2), 103–110.
https://doi.org/10.1016/j.future.2020.03.039
O’Cathain, A., Croot, L., Duncan, E., Rousseau, N., Sworn, K., Turner, K. M., Yardley, L., & Hoddinott, P. (2019). Guidance on how to develop complex interventions to improve health and healthcare. BMJ Open, 9(8), e029954.
https://doi.org/10.1136/bmjopen-2019-029954
Pastorino, R., De Vito, C., Migliara, G., Glocker, K., Binenbaum, I., Ricciardi, W., & Boccia, S. (2019). Benefits and challenges of big data in healthcare: An overview of the European initiatives. European Journal of Public Health, 29(3), 23–27.
https://doi.org/10.1093/eurpub/ckz168
Pramanik, P. K. D., Pal, S., & Mukhopadhyay, M. (2022). Healthcare big data: A comprehensive overview. Research Anthology on Big Data Analytics, Architectures, and Applications.
https://www.igi-global.com/chapter/healthcare-big-data/290979