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Occupation Report: Medical Records and Health Information Technicians

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Everyone’s always searching for new, emerging, and soon-to-be essential occupations. And when it comes to health care, America’s fastest-growing industry sector, medical records and health information technicians — a key healthcare IT occupation — sits pretty near the top.

Summary

Since 2001, employment in this occupation (SOC 29-2071) has increased by nearly 20% and, according to EMSI’s most recent data, there are nearly 185,000 medical records and health information technician jobs spread out around the nation. The BLS describes the occupation this way:

Medical records are also increasingly digital, so the people in this occupation have a great deal of responsibility when it comes to recording health information so it can be easily shared with patients and other health-care providers. According to O*NET, the top knowledge areas for this occupations are clerical, customer service, English language, computers/electronics, and law/government. As far as skills, reading comprehension, listening, writing, and critical thinking are important.

If we look at year-over-year change since 2001, this occupation hasn’t slowed or dipped at all, even during the recession.

Also notice that this healthy growth is supported by more than 8,000 annual openings — a measure of new job growth and turnover from retirements, etc. — and nearly 6,000 current job postings. See the chart below for more detail. Most (95%) of the people who work as medical records and health information technicians are female. More than 50% of the workers are 45 or older, which means that there will continue to be a lot of turnover as a result of retirement in the coming years.

Education

Another key thing to notice is the relatively low wages for this occupation. This isn’t surprising given that a large majority of the people working in this field have lower levels of education. About 67% of health information techs have either some college or a high school diploma. As this occupation becomes more in-demand in settings like doctors’ offices and hospitals, look for the qualifications and wages to go up. It would be interesting to do a survey of new hires and employers to see what the education requirements and pay is in just over the past few months.

Here is a look at the top education programs for these health information techs. Obviously not all of these people will end of working in these categories. This is just a count of the people who would be qualified based on their education and training.

Below is a look at the top industries that employee health information techs. Not surprisingly, the biggest employer is hospitals, followed by offices of physicians and nursing homes and home health care companies.

Geographic Distribution

And now for the fun part. How are these jobs spread across the nation and what regions are more specialized with health information technicians?

According to a scan of the top 50 metro areas in the U.S., Milwaukee has the highest concentration of these jobs. The location quotient for the Milwaukee MSA is 1.73, which means it has nearly twice the number of these jobs per capita than the national average (an LQ of 1.0 represents a typical region). After Milwaukee comes San Antonio (1.59), Memphis (1.56), Salt Lake City (1.52), Phoenix (1.46), Boston (1.39), Oklahoma City (1.39), Tampa (1.33), and Seattle (1.31).

If we were to look at the same data for all states, South Dakota has the highest concentration (1.66), followed by Montana (1.48), West Virginia (1.40), Oklahoma (1.40), Massachusetts (1.35), and Kansas (1.29).

New York and San Jose pay the best (over $20 per hour), while Sacramento, Washington, D.C., and Philadelphia are in the $20 per hour range. When it comes to states, New Jersey ($24 per hour) is way above the national average and higher than the top MSAs. D.C. is second at $20 per hour. The odd thing about New Jersey is that it is the only state to actually experience decline from 2001-2012. Pretty unthinkable given the tremendous growth in health care. The concentration of health information technicians in New Jersey is also really low (0.44).

When it comes to growth, Texas is the clear leader. The top MSAs for new health IT jobs from 2001-2012 are San Antonio, Houston, and Dallas. Each city experienced 30% growth or better. Phoenix was the only other major metro to have growth above 30%.

We have included the data for the top MSAs below.

MSA Name 2001 Jobs 2012 Jobs 2012 Annual Openings % Change Median Hourly Earnings 2011 National Location Quotient
Total 82,776 99,229 16,453 16.6% $17.28
New York-Northern New Jersey-Long Island, NY-NJ-PA 6,743 7,100 357 5.0 $21.03 0.61
Los Angeles-Long Beach-Santa Ana, CA 5,807 6,726 919 13.7 $17.71 0.87
Chicago-Joliet-Naperville, IL-IN-WI 5,463 6,067 604 10.0 $15.88 1.08
Dallas-Fort Worth-Arlington, TX 3,267 4,672 1,405 30.1 $15.98 1.12
Boston-Cambridge-Quincy, MA-NH 3,815 4,451 636 14.3 $19.21 1.39
Houston-Sugar Land-Baytown, TX 2,647 3,824 1,177 30.8 $18.04 1.02
Miami-Fort Lauderdale-Pompano Beach, FL 2,974 3,546 572 16.1 $15.67 1.06
Phoenix-Mesa-Glendale, AZ 2,227 3,480 1,253 36.0 $16.78 1.46
Seattle-Tacoma-Bellevue, WA 2,386 3,016 630 20.9 $18.05 1.31
Atlanta-Sandy Springs-Marietta, GA 2,219 2,723 504 18.5 $15.51 0.84
Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 2,606 2,615 9 0.3 $18.02 0.75
Washington-Arlington-Alexandria, DC-VA-MD-WV 2,242 2,585 343 13.3 $20.17 0.63
San Francisco-Oakland-Fremont, CA 2,029 2,315 286 12.4 $20.72 0.80
Minneapolis-St. Paul-Bloomington, MN-WI 1,935 2,261 326 14.4 $19.39 0.96
Baltimore-Towson, MD 1,736 2,105 369 17.5 $19.03 1.20
Tampa-St. Petersburg-Clearwater, FL 1,646 2,051 405 19.7 $14.74 1.33
San Antonio-New Braunfels, TX 1,395 1,958 563 28.8 $17.76 1.59
Pittsburgh, PA 1,664 1,828 164 9.0 $14.82 1.25
Milwaukee-Waukesha-West Allis, WI 1,579 1,728 149 8.6 $16.13 1.73
San Diego-Carlsbad-San Marcos, CA 1,335 1,691 356 21.1 $17.71 0.88
St. Louis, MO-IL 1,516 1,685 169 10.0 $15.93 0.98
Detroit-Warren-Livonia, MI 1,595 1,664 69 4.1 $16.53 0.71
Kansas City, MO-KS 1,357 1,652 295 17.9 $16.14 1.28
Riverside-San Bernardino-Ontario, CA 1,217 1,576 359 22.8 $17.83 0.92
Cincinnati-Middletown, OH-KY-IN 1,339 1,529 190 12.4 $15.77 1.19
Indianapolis-Carmel, IN 1,142 1,447 305 21.1 $14.99 1.29
Portland-Vancouver-Hillsboro, OR-WA 1,131 1,428 297 20.8 $18.93 1.04
Denver-Aurora-Broomfield, CO 1,104 1,407 303 21.5 $19.49 0.80
Cleveland-Elyria-Mentor, OH 1,275 1,352 77 5.7 $17.47 1.06
Orlando-Kissimmee-Sanford, FL 997 1,326 329 24.8 $15.46 1.02
Salt Lake City, UT 938 1,305 367 28.1 $12.72 1.52
Memphis, TN-MS-AR 980 1,250 270 21.6 $14.57 1.56
Oklahoma City, OK 969 1,106 137 12.4 $14.52 1.39
Columbus, OH 825 1,006 181 18.0 $15.99 0.80
Louisville/Jefferson County, KY-IN 805 1,004 199 19.8 $14.80 1.28
Providence-New Bedford-Fall River, RI-MA 906 964 58 6.0 $17.39 1.12
Las Vegas-Paradise, NV 693 952 259 27.2 $16.01 0.85
Austin-Round Rock-San Marcos, TX 674 943 269 28.5 $15.04 0.83
Charlotte-Gastonia-Rock Hill, NC-SC 647 883 236 26.7 $16.50 0.79
Virginia Beach-Norfolk-Newport News, VA-NC 761 876 115 13.1 $14.34 0.85
Birmingham-Hoover, AL 763 814 51 6.3 $13.23 1.25
Nashville-Davidson–Murfreesboro–Franklin, TN 594 800 206 25.8 $15.91 0.75
Buffalo-Niagara Falls, NY 729 788 59 7.5 $17.39 1.17
Sacramento–Arden-Arcade–Roseville, CA 648 782 134 17.1 $20.24 0.65
Jacksonville, FL 597 774 177 22.9 $15.36 0.92
Richmond, VA 632 759 127 16.7 $16.24 0.98
San Jose-Sunnyvale-Santa Clara, CA 589 643 54 8.4 $21.33 0.51
Raleigh-Cary, NC 452 631 179 28.4 $16.05 0.89
New Orleans-Metairie-Kenner, LA 663 595 (68) (11.4) $15.15 0.81
Hartford-West Hartford-East Hartford, CT 521 543 22 4.1 $18.36 0.66

Data and analysis from this report came from Analyst, EMSI’s web-based labor market tool. Please contact Rob Sentz ([email protected]) if you have questions or comments. Follow us @desktopecon.


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