Vocabulary standards are to keep everything consistent because certain words mean certain things. That is important so everyone in the field calls a diagnosis the same thing. Like one person cannot document pharyngitis and another person document sore throat in the same record....it is pharyngitis through and through.
Data sets are basically a uniform way to collect data so everyone collects the same data, the same way, every time. There are different data sets for different health care settings.
- Uniform Hospital Discharge Data Set (UHDDS) is the data set that is used in short term inpatient settings, or hospitals. There are 20 elements of data for the UHDDS. Those elements are: personal identification, birth date, sex, race & ethnicity, residence, hospital identification admission date, type of admission, discharge date, attending physician identification, operating physician identification, principal diagnoses, other diagnoses, qualifier for other diagnoses, external cause-of-injury code, birth weight of neonate, procedures and dates, disposition of the patient, patients expected source of payment, and total charges. So, every hospital everywhere would collect this same data. This standard has been set by the federal government.
- Uniform Ambulatory Care Data Set (UACDS) is used in outpatient settings such as physician's offices, medical clinics, same-day surgery centers, outpatient hospital clinics & diagnostic departments, emergency treatment centers, and hospital emergency departments. The UACDS has some of the same elements as the UHDDS such as personal identifier, residence, date of birth, gender, & race/ethnicity.This makes it easier to compare data within the same facility. The UACDS also has some elements specific to ambulatory care such as the reason for the encounter, place of encounter, diagnostic services, problem diagnoses or assessment, therapeutic services, preventive services, disposition, living arrangements, and marital status. These last two elements are needed to know if the patient will have help at home when leaving after surgery. Unlike UHDDS, these elements are not mandated by federal regulations so they are recommended elements, rather than being required elements.
- Minimum Data Set (MDS) is used for long-term care settings such as residential facilities for people who are not able to live alone due to a chronic illness or disability. MDS is a federally mandated assessment form to collect demographic and clinical data on nursing home residents. This data collected are used to develop a resident assessment protocol (RAP) for each resident. This helps to lay out the care plan for each resident. There are 20 elements in the MDS: demographic information, identification & background info., cognitive pattern, communication/hearing patterns, vision patterns, mood and behavior patterns, psychosocial well-being, physical functioning & structural problems, continence in past 14 days, disease diagnoses, health conditions, oral/nutritional status, oral/dental status, skin condition, activity pursuit patterns, medications, special treatments and procedures, discharge potential and overall status, assessment information, and therapy supplement for medicare PPS.
- Outcomes and Assessment Information Set (OASIS) is the data set to gather information about Medicare beneficiaries in the home health setting. OASIS data are basically used for reimbursement purposes for home health services. OASIS has more than 30 data elements and are grouped in the following categories: patient tracking items, clinical record items, patient
history and diagnoses, living arrangements, sensory status, respiratory status,
cardiac status, elimination status, neuro/emotional/behavioral status, activities
of daily living, instrumental activities of daily living, medications, care management, therapy need and plan of care, emergent care,
and data collected at transfer/discharge
This is just the tip of the iceberg with all of the information we have covered this week between this class (HIT2100), HIT2000, and HIT2200.
It is mind boggling! But here we are ending week 5 already. I feel like it is going to be May before I know it and I will not not be stressed over homework but trying to find a job to enter this industry. It seemed so far away when I started in the fall of last year now I am almost halfway through this semester and I have completed 4 quarters prior to this. Crazy!!!
Johns, M. L. (2011). Health Information Management
Technology An Applied Approach. Chicago, IL: AHIMA.