Health Informatics

Needs
Principles
Uses
Limitation

1. Unit II Health Informatics

2. Introduction Nursing informatics combines nursing science with computer science and information science to manage and communicate data. The field helps develop more efficient processes, advances healthcare and provides a high level of patient care.

3. Needs Why Informatics required in Nursing filed. To quality improvement, To communication, To managing knowledge, To mitigating error, And to supporting decision-making through use of IT.

4. The need for nurses to use technology to: Collect evidence-based research to improve practice. Develop information, computer literacy, and skills in order to effectively use an EMR and other clinical systems. Create healthcare polices through data collection. Develop specific competencies related to the areas of practice such as Use of tele -health in community health. Use of medical devices in all clinical practice areas. With high-tech nursing practice and use of EHRs, nurses with computer skills and understanding of informatics are needed to facilitate communication with other interdisciplinary teams as well as with IT.

5. Principles of Health Informatics Principle of providing quality care- Apply knowledge of health data, information, and workflow models to information technology solutions. Apply best practices (quality management, system, testing service level agreements, business continuity, incident management) throughout the system life cycle.

6. Principle of openness Apply appropriate health informatics standards and models to use and exchange information It means collection, storage, access, use, communication, manipulation and disposition of personal data must be disclosed in an appropriate and timely with a particular person who is belongs to the data. .

7. Principle of security Follow best practices and implement solutions required to maintain the security of data, system, devices and networks. Personal data that collected, should be protected by all reasonable and appropriate measures against loss, degradation, unauthorized destruction, access, use, manipulation, modification or communication.

8. Principle of access Facilitate appropriate consumer use of health information and communication technology. A person has right to access their health record and right to correct the record for accuracy, completeness and relevance.

9. Principle of information privacy and disposition Everyone has a fundamental right to privacy and control over collection, storage, access, use, communication, manipulation and disposition of their data.

10. Principle of adaption Address the challenges related to the adoption and realization of the clinical value of information system and technology in the health sector.

11. Use of HI Diagnosis process Medical history Family history Drug history Laboratory result Pre-consultation screening Coding of clinical data Using data from confidential sourses

12. Needs To reach medical facility in remote location To data recording and monitoring. To improve quality of patient care Accuracy (Remove errors) Quick data exchange Promote time management (save health care workers’ time). Enhance communication

13. Objective System and software save the amount of time to complete task by nurse. Locating and collaborating with other staff members and updating patient charts Technology serves to improve accuracy and patient safety by reducing medical errors. Preventing unauthorized people from entering a facility or accessing sensitive patient records. To improve efficiency, accuracy and safety. Technology also allows nurse to spend more time on direct patient care.

14. Limitation of HI Expensive- High cost Required time to adapt- (Everyday changes in software) Over-dependency on technology- (Forget manual task) Network hacking- ( misuse of confidential data by hackers) Cyber security.

15. Transformation of data to knowledge . Complexity Human intellect Data Information Knowledge

16. Data- data are raw facts. It can any thing like name and symptoms. Information- data processed in a meaningful way. It is any thing that is communicated. Knowledge- The ability of the person uses information and experience. .

17. For Example- A patient said my body hotter from night. (Raw data or observation) Nurse- collect data and check patient temperature. and find that temperature is higher than normal. (Organized data and proceed into information) Doctor prescribe- an antibiotic because patient has an infection, Doctor add knowledge and experience with the help of information

18. Making effective use of data in the medical practice Data is the raw information-name, address, temperature, blood pressure, observations, during patient visits. Analysis of that data provides information what is currently happening in the medical practice. These analytics then provide knowledge and insights which can be used to improve functioning on both the administrative and patient care sides.

19. Using data to improve patient care 1. Improve diagnostics- Data mining and data analysis can be used to the interview and examination to aid in an accurate diagnosis and identification of the cause of the patient’s illness.

20. 2. Patient records- In the move from paper to Electronic Health Records or EHRs. Digital record (EHRs) reduced the time of dealing with forms, understanding medical history, obtaining test reports and allow more time for patient interactions. EHRs can also be used to set reminders to help keep patient care on track with prescriptions and lab tests.

21. 3. Patient Engagement- Many patient are actively engaged in recording and improving their health care results, but this data needs to be incorporated into the patient’s digital health record as well in order to provide a complete picture of current state of health.

22. 4. Prevention through predictive analytics- Doctors and medical providers can access information databases and correlate that information with patient records to made data driven decisions about patient care. This can be used to predict patients who are at higher risk for certain types of diseases or medical events, so precautionary action or increased screening can be put in place.

23. 5. Interoperability - data analytics can be used to integrate information from multiple providers and facilities to highlight indicators of disease and better coordinate care.

24. 6. Population health- EHRs, providers can quickly and easily access patient data to identify patient patterns more quickly and effectively. This may help increase preventative care as well as reduce ER visits by directing medical attention to patients with the most chronic conditions and providing corrective treatment plans.

25. 7. Chronic care management- with elderly or high-risk patient population, providers can receive additional compensation for communicating with patient through the patient portal or making sure that routine tests and blood work are completed.

26. Using data to improve administrative functioning Data helpful to analyzed and improved in order to minimize overhead and maintain office efficiency. 1- Revenue cycle management- the most important pieces of information for the healthcare centre to determine is whether the practice is turning a profit. To analysis the factors in maintaining a healthy practice cash flow. How much clients payment done or left.

27. 2. Appointment management- A terrible time and resource waster is the missed appointment and the patient who fails to reschedule and the patients who do not schedule time for regular appointments. 3. Practice staffing- the practice needs to have an adequate level of staffing to provide appropriate patient care, while not having too many people on payroll during times when the patient load is lighter. Analysis of patient and staff schedules can pinpoint high traffic times where staffing needs to be increased, and slower times where staffing can be decreased.

28. 4. Efficient charting- take a look at how much time is spent in inefficient charting procedures, and implement systems and technologies to make this vital function as efficient as possible.

29. Technology tricks to transform data into knowledge Electronic Health Record- keep data updated, store and exchange with concern department in the best way. Data Reporting Tools- smart analytics to measure own practice, against your own goals, against peers in the area and even against national benchmarks. Scheduling-set appointment types and duration and quickly rebook appointment to keep patients on track, and manage clinician schedules to maintain efficient staffing level. Manage Revenue- access data to view unpaid claims to make sure they are followed up on promptly and that issues are resolved before they can become problem. Care Gaps- individual patient data to look for care gaps that need to be addressed, prior to the patient coming in for an appointment. Population Health-use the data tool that helps you to analyze and achieve results such as better patient care, reduced patient costs and increased practice productivity. Clinical Quality Measures- track the quality of health care service provided to patient.

30. Summary Informatics can help prevent harmful treatment and prescription errors. Informatics improves patient record retrieval the acknowledgement of a patient’s medical records is extremely important to the delivery of quality care that treats patients based on their individual needs. Improves accuracy for health insurance administration. Patient information is safer when stored in system, than physically locked.

31. Thank You